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Institute
- Graduate School of Life Sciences (51)
- Theodor-Boveri-Institut für Biowissenschaften (15)
- Institut für Pharmazie und Lebensmittelchemie (12)
- Physikalisches Institut (12)
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- Abteilung für Funktionswerkstoffe der Medizin und der Zahnheilkunde (7)
- Lehrstuhl für Tissue Engineering und Regenerative Medizin (5)
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- Bio-Imaging Center Würzburg (1)
- CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - the development agency of the Brazilian Federal Government (1)
- DAAD - Deutscher Akademischer Austauschdienst (1)
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- Medizinische Klinik und Poliklinik 1, Abteilung Kardiologie (1)
- Medizinische Klinik und Poliklinik 1, Abteilung Nephrologie (1)
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ResearcherID
- B-4606-2017 (1)
Upon approval of a drug, the stability of the API and the FPP has to be studied intensively because it determines the shelf-life. If a drug is found to be stable, the expiry date is arbitrary set to five years at the maximum, if a drug tends to undergo degradation, the expiry date is set shorter. The drug product must comply with predefined specifications in accordance with the ICH guidelines Q6A and Q6B during its entire market life. The content of the active substance is required to be within a specification of 95–105% of its labeled claim until expiry corresponding to the ICH guideline Q1A(R2). However, there is little or scattered literature information addressing the stability of drug products beyond their expiry dates. The objective of this thesis was to study and assess the long-term stability of a collection involving numerous pure drug substances and ampoules manufactured in the 20th century. The content and the impurity profile were examined by means of appropriate analytical methods, mainly using liquid chromatography. The results were compared to data being available in the literature. Assessing the stability regarding the dosage form and the affiliation of the drug class was conducted.
The experimental studies comprise the examination of 50 drug substances manufactured 20–30 years ago and 14 long expired ampoules which were older than 40 years in the time of analysis, exceeding many times the maximum shelf life of five years.
For investigation of the solid drug substances, pharmacopoeial methods were applied as far as possible. Indeed, results of the study showed that 44 tested substances still complied with the specification of the Ph. Eur. with regard to the content and impurity profile, even after more than two decades of storage.
For analysis of the injection solutions, HPLC-UV and HPLC-ESI/MS techniques were applied, commonly based on liquid chromatography methods of the Ph. Eur. for determination of related substances. Each method was further validated for its application to ensure accurate API quantification corresponding to ICH Q2(R1). Quite a few ampoules were identified to show surprisingly high stability. In spite of their age of 53–72 years, APIs such as caffeine, etilefrine, synephrine, metamizole sodium, furosemide, and sodium salicylate complied with the specified content that is valid nowadays, respectively. Nevertheless, typical degradation reaction, e.g. hydrolysis, oxidation, or isomerization, was observed in all remaining ampoules. Various degrees of hydrolysis were revealed for scopolamine, procaine, and adenosine triphosphate, the contents were decreased to 71%, 70%, and 15% of the declared concentrations, respectively. In the epinephrine and dipyridamole ampoules, oxidative degradation has been occurred, finding respective API contents of more or less 70%. For dihydroergotamine, excessive decomposition by epimerization was observed, resulting in an API content of 21% and degradation by isomerization was found in lobeline, still containing 64% of the labeled claim.
In conclusion, supported by the data of the present studies and the literature, defining and authorizing a longer shelf-life may be applicable to numerous pharmaceuticals which should be considered by pharmaceutical manufacturers and regulatory authorities, if justified based on stability studies. A general extension of the shelf-lives of drug products and the abolishment or extension of the maximum shelf-life limit of five years would prevent disposing of still potent medications and save a lot of money to the entire health care system.
Perovskite oxides are a very versatile material class with a large variety of outstanding physical properties.
A subgroup of these compounds particularly tempting to investigate are oxides involving high-\(Z\) elements, where spin-orbit coupling is expected to give rise to new intriguing phases and potential application-relevant functionalities. This thesis deals with the preparation and characterization of two representatives of high-\(Z\) oxide sample systems based on KTaO\(_3\) and BaBiO\(_3\).
KTaO\(_3\) is a band insulator with an electronic valence configuration of Ta 5\(d\)\(^0\) . It is shown that by pulsed laser deposition of a disordered LaAlO\(_3\) film on the KTaO\(_3\)(001) surface, through the creation of oxygen vacancies, a Ta 5\(d\)\(^{0+\(\delta\)}\) state is obtained in the upmost crystal layers of the substrate. In consequence a quasi two dimensional electron system (q2DES) with large spin-orbit coupling emerges at the heterointerface. Measurements of the Hall effect establish sheet carrier densities in the range of 0.1-1.2 10\(^{14}\) cm\(^2\), which can be controlled by the applied oxygen background pressure during deposition and the LaAlO\(_3\) film thickness. When compared to the prototypical oxide q2DESs based on SrTiO\(_3\) crystals, the investigated system exhibits exceptionally large carrier mobilities of up to 30 cm\(^2\)/Vs (7000 cm\(^2\)/Vs) at room temperature (below 10 K). Through a depth profiling by photoemission spectra of the Ta 4\(f\) core level it is shown that the majority of the Ta 5\(d\)\(^0\) charge carriers, consisting of mobile and localized electrons, is situated within 4 nm from the interface at low temperatures. Furthermore, the momentum-resolved electronic structure of the q2DES \(buried\) underneath the LaAlO\(_3\) film is probed by means of hard X-ray angle-resolved photoelectron spectroscopy. It is inferred that, due to a strong confinement potential of the electrons, the band structure of the system is altered compared to \(n\)-doped bulk KTO. Despite the constraint of the electron movement along one direction, the Fermi surface exhibits a clear three dimensional momentum dependence, which is related to a depth extension of the conduction channels of at least 1 nm.
The second material, BaBiO\(_3\), is a charge-ordered insulator, which has recently been predicted to emerge as a large-gap topological insulator upon \(n\)-doping. This study reports on the thin film growth of pristine BaBiO\(_3\) on Nb:SrTiO\(_3\)(001) substrates by means of pulsed laser deposition. The mechanism is identified that facilitates the development of epitaxial order in the heterostructure despite the presence of an extraordinary large lattice mismatch of 12 %. At the heterointerface, a structurally modified layer of about 1.7 nm thickness is formed that gradually relieves the in-plane strain and serves as the foundation of a relaxed BBO film. The thereupon formed lattice orders laterally in registry with the substrate with the orientation BaBiO\(_3\)(001)||SrTiO\(_3\)(001) by so-called domain matching, where 8 to 9 BaBiO\(_3\) unit cells align with 9 to 10 unit cells of the substrate. Through the optimization of the deposition conditions in regard to the cation stoichiometry and the structural lattice quality, BaBiO\(_3\) thin films with bulk-like electronic properties are obtained, as is inferred from a comparison of valence band spectra with density functional theory calculations. Finally, a spectroscopic survey of BaBiO\(_3\) samples of various thicknesses resolves that a recently discovered film thickness-controlled phase transition in BaBiO\(_3\) thin films can be traced back to the structural and concurrent stoichiometric modifications occuring in the initially formed lattice on top of the SrTiO\(_3\) substrate rather than being purely driven by the smaller spatial extent of the BBO lattice.
Development and application of computational tools for RNA-Seq based transcriptome annotations
(2019)
In order to understand the regulation of gene expression in organisms, precise genome annotation is essential. In recent years, RNA-Seq has become a potent method for generating and improving genome annotations. However, this Approach is time consuming and often inconsistently performed when done manually. In particular, the discovery of non-coding RNAs benefits strongly from the application of RNA-Seq data but requires significant amounts of expert knowledge and is labor-intensive. As a part of my doctoral study, I developed a modular tool called ANNOgesic that can detect numerous transcribed genomic features, including non-coding RNAs, based on RNA-Seq data in a precise and automatic fashion with a focus on bacterial and achaeal species. The software performs numerous analyses and generates several visualizations. It can generate annotations of high-Resolution that are hard to produce using traditional annotation tools that are based only on genome sequences. ANNOgesic can detect numerous novel genomic Features like UTR-derived small non-coding RNAs for which no other tool has been developed before. ANNOgesic is available under an open source license (ISCL) at https://github.com/Sung-Huan/ANNOgesic.
My doctoral work not only includes the development of ANNOgesic but also its application to annotate the transcriptome of Staphylococcus aureus HG003 - a strain which has been a insightful model in infection biology. Despite its potential as a model, a complete genome sequence and annotations have been lacking for HG003. In order to fill this gap, the annotations of this strain, including sRNAs and their functions, were generated using ANNOgesic by analyzing differential RNA-Seq data from 14 different samples (two media conditions with seven time points), as well as RNA-Seq data generated after transcript fragmentation. ANNOgesic was
also applied to annotate several bacterial and archaeal genomes, and as part of this its high performance was demonstrated. In summary, ANNOgesic is a powerful computational tool for RNA-Seq based annotations and has been successfully applied to several species.
Insulin-like growth factor-I (IGF-I) is a 70-amino acid polypeptide with a molecular weight of approximately 7.6 kDa acting as an anabolic effector. It is essential for tissue growth and remodeling. Clinically, it is used for the treatment of growth disorders and has been proposed for various other applications including musculoskeletal diseases. Unlike insulin, IGF-I is complexed to at least six high-affinity binding proteins (IGFBPs) exerting homeostatic effects by modulating IGF-I availability to its receptor (IGF-IR) on most cells in the body as well as changing the distribution of the growth factor within the organism.1-3 Short half-lived IGF-I have been the driving forces for the design of localized IGF-I depot systems or protein modification with enhanced pharmacokinetic properties. In this thesis, we endeavor to present a versatile biologic into which galenical properties were engineered through chemical synthesis, e.g., by site-specific coupling of biomaterials or complex composites to IGF-I. For that, we redesigned the therapeutic via genetic codon expansion resulting in an alkyne introduced IGF-I, thereby becoming a substrate for biorthogonal click chemistries yielding a site-specific decoration.
In this approach, an orthogonal pyrrolysine tRNA synthetase (PylRS)/tRNAPyl CUA pair was employed to direct the co-translational incorporation of an unnatural amino acid—¬propargyl-L-lysine (plk)—bearing a clickable alkyne functional handle into IGF-I in response to the amber stop codon (UAG) introduced into the defined position in the gene of interest. We summarized the systematic optimization of upstream and downstream process alike with the ultimate goal to increase the yield of plk modified IGF-I therapeutic, from the construction of gene fusions resulting in (i) Trx-plk-IGF-I fusion variants, (ii) naturally occurring pro-IGF-I protein (IGF-I + Ea peptide) (plk-IGF-I Ea), over the subsequent bacterial cultivation and protein extraction to the final chromatographic purification. The opportunities and hurdles of all of the above strategies were discussed. Evidence was provided that the wild-type IGF-I yields were pure by exploiting the advantages of the pHisTrx expression vector system in concert with a thrombin enzyme with its highly specific proteolytic digestion site and multiple-chromatography steps. The alkyne functionality was successfully introduced into IGF-I by amber codon suppression. The proper folding of plk-IGF-I Ea was assessed by WST-1 proliferation assay and the detection of phosphorylated AKT in MG-63 cell lysate. The purity of plk-IGF-I Ea was monitored with RP-HPLC and SDS-PAGE analysis. This work also showed site-specific coupling an alkyne in plk-IGF-I Ea by copper (I)-catalyzed azide-alkyne cycloaddition (CuAAC) with potent activities in vitro. The site-specific immobilization of plk-IGF-I Ea to the model carrier (i.e., agarose beads) resulted in enhanced cell proliferation and adhesion surrounding the IGF-I-presenting particles. Cell proliferation and differentiation were enhanced in the accessibility of IGF-I decorated beads, reflecting the multivalence on cellular performance.
Next, we aimed at effectively showing the disease environment by co-delivery of fibroblast growth factor 2 (FGF2) and IGF-I, deploying localized matrix metalloproteinases (MMPs) upregulation as a surrogate marker driving the response of the drug delivery system. For this purpose, we genetically engineered FGF2 variant containing an (S)-2-amino-6-(((2-azidoethoxy)carbonyl)amino)hexanoic acid incorporated at its N-terminus, followed by an MMPs-cleavable linker (PCL) and FGF2 sequence, thereby allowing site-directed, specific decoration of the resultant azide-PCL-FGF2 with the previously mentioned plk-IGF-I Ea to generate defined protein-protein conjugates with a PCL in between. The click reaction between plk-IGF-I Ea and azide-PCL-FGF2 was systematically optimized to increase the yield of IGF-FGF conjugates, including reaction temperature, incubation duration, the addition of anionic detergent, and different ratios of the participating biopharmaceutics. The challenge here was that CuAAC reaction components or conditions might oxidize free cysteines of azide-PCL-FGF2 and future work needs to present the extent of activity retention after conjugation. Furthermore, our study provides potential options for dual-labeling of IGF-I either by the introduction of unnatural amino acids within two distinct positions of the protein of interest for parallel “double-click” labeling of the resultant plk-IGF-I Ea-plk or by using a combination of enzymatic-catalyzed and CuAAC bioorthogonal coupling strategies for sequentially dual-labeling of plk-IGF-I Ea.
In conclusion, genetic code expansion in combination with click-chemistry provides the fundament for novel IGF-I analogs allowing unprecedented site specificity for decoration. Considerable progress towards IGF-I based therapies with enhanced pharmacological properties was made by demonstrating the feasibility of the expression of plk incorporated IGF-I using E. coli and retained activity of unconjugated and conjugated IGF-I variant. Dual-labeling of IGF-I provides further insights into the functional requirements of IGF-I. Still, further investigation warrants to develop precise IGF-I therapy through unmatched temporal and spatial regulation of the pleiotropic IGF-I.
The aim of this thesis was the application of the functional prepolymer NCO-sP(EO-stat-PO) for the development of new biomaterials. First, the influence of the star-shaped polymers on the mechanical properties of biocements and bone adhesives was investigated. 3-armed star-shaped macromers were used as an additive for a mineral bone cement, and the influence on the mechanical properties was studied. Additionally, a previously developed bone adhesive was examined regarding cytocompatibility. The second topic was the examination of novel functionalization steps which were performed on the surface of electrospun fibers modified with NCO-sP(EO-stat-PO). This established method of functionalizing electrospun meshes was advanced regarding the modification with proteins which was then demonstrated in a biological application. Two different kinds of antibodies were immobilized on the fiber surface in a consecutive manner and the influence of these proteins on the cell behavior was investigated. The final topic involved the quantification of surface-bound peptide sequences. By functionalization of the peptides with the UV-reactive molecule 2-mercaptopyridine it was possible to quantify this compound via UV measurements by cleavage of disulfide bridges and indirectly draw conclusions about the number of immobilized peptides.
In the field of mineral biocements and bone adhesives, NCO-sP(EO-stat-PO) was able to influence the setting behavior and mechanical performance of mineral bone cements based on calcium phosphate chemistry. The addition of NCO-sP(EO-stat-PO) resulted in a pseudo-ductile fracture behavior due to the formation of a hydrogel network in the cement, which was then mineralized by nanosized hydroxyapatite crystals following cement setting. Accordingly, a commercially available aluminum silicate cement from civil engineering could be modified.
In addition, it could be shown that the use of NCO-sP(EO-stat-PO) is beneficial for adjusting specific material properties of bone adhesives. Here, the crosslinking behavior of the prepolymer in an aqueous medium was exploited to form an interpenetrating network (IPN) together with a photochemically curing poly(ethylene glycol) dimethacrylate (PEGDMA) matrix. This could be used for the development of a bone adhesive with an improved adhesion to bone in a wet environment. The developed bone adhesive was further investigated in terms of possible influences of the initiator systems. In addition, the material system was tested for cytocompatibility by using different cell lines.
Moreover, the preparation of electrospun fiber meshes via solution electrospinning consisting of poly(lactide-co-glycolide) (PLGA) as a backbone polymer and NCO-sP(EO-stat-PO) as functional additive is an established method for the application of the meshes as a replacement of the native extracellular matrix (ECM). In general, these fibers reveal diameters in the nanometer range, are protein and cell repellent due to the hydrophilic properties of the prepolymer and show a specific biofunctionalization by immobilization of peptide sequences. Here, the isocyanate groups presented on the fiber surface after electrospinning were used to carry out various functionalization steps, while retaining the properties of protein and cell repellency. The modification of the electrospun fibers involved the immobilization of analogs or antagonists of tumor necrosis factor (TNF) and the indirect detection of these by interaction with a light-producing enzyme. Here, a multimodal modification of the fiber surface with RGD to mediate cell adhesion and two different antibodies could be achieved. After culturing the cell line HT1080, the pro- or anti-inflammatory response of cells could be detected by IL-8 specific ELISA measurements.
Furthermore, the quantification of molecules on the surface of electrospun fibers was investigated. It was tested whether the detection by means of super-resolution microscopy would be possible. Therefore, experiments were performed with short amino acid sequences such as RGD for quantification by fluorescence microscopy. Based on earlier results, in which a UV-spectrometrically active molecule was used to detect the quantification of RGD, it was shown that short peptides can also be quantified in a small scale on flat functional substrates (2D) such as NCO-sP(EO-stat-PO) hydrogel coatings, and modified electrospun fibers produced from PLGA and NCO-sP(EO-stat-PO) (3D). In addition, a collagen sequence was used to prove that a successful quantification can be carried out as well for longer peptide chains.
These studies have revealed that NCO-sP(EO-stat-PO) can serve as a functional additive for many applications and should be considered for further studies on the development of novel biomaterials. The rapid crosslinking reaction, the resulting hydrogel formation and the biocompatibility are to be mentioned as positive properties, which makes the prepolymer interesting for future applications.
In Tissue Engineering, scaffolds composed of natural polymers often show a distinct lack in stability. The natural polymer gelatin is highly fragile under physiological conditions, nevertheless displaying a broad variety of favorable properties. The aim of this study was to fabricate electrospun gelatin nanofibers, in situ functionalized and stabilized during the spinning process with highly reactive star polymer NCO-sP(EO-stat-PO) (“sPEG”). A spinning protocol for homogenous, non-beaded, 500 to 1000 nm thick nanofibers from different ratios of gelatin and sPEG was successfully established. Fibers were subsequently characterized and tested with SEM imaging, tensile tests, water incubation, FTIR, EDX, and cell culture. It was shown that adding sPEG during the spinning process leads to an increase in visible fiber crosslinking, mechanical stability, and stability in water. The nanofibers were further shown to be biocompatible in cell culture with RAW 264.7 macrophages.
The role of multicellularity as the predominant microbial lifestyle has been affirmed by studies on the genetic regulation of biofilms and the conditions driving their formation. Biofilms are of prime importance for the pathology of chronic infections of the opportunistic human pathogen Staphylococcus aureus.
The recent development of a macrocolony biofilm model in S. aureus opened new opportunities to study evolution and physiological specialization in biofilm communities in this organism. In the macrocolony biofilm model, bacteria form complex aggregates with a sophisticated spatial organization on the micro- and macroscale. The central positive and negative regulators of this organization in S. aureus are the alternative sigma factor σB and the quorum sensing system Agr, respectively. Nevertheless, nothing is known on additional factors controlling the macrocolony morphogenesis.
In this work, the genome of S. aureus was screened for novel factors that are required for the development of the macrocolony architecture. A central role for basic metabolic pathways was demonstrated in this context as the macrocolony architecture was strongly altered by the disruption of nucleotide and carbohydrate synthesis. Environmental signals further modulate macrocolony morphogenesis as illustrated by the role of an oxygen-sensitive gene regulator, which is required for the formation of complex surface structures. A further application of the macrocolony biofilm model was demonstrated in the study of interstrain interactions. The integrity of macrocolony communities was macroscopically visibly disturbed by competitive interactions between clinical isolates of S. aureus.
The results of this work contribute to the characterization of the macrocolony biofilm model and improve our understanding of developmental processes relevant in staphylococcal infections. The identification of anti-biofilm effects exercised through competitive interactions could lead to the design of novel antimicrobial strategies targeting multicellular bacterial communities.
Human actions are generally not determined by external stimuli, but by internal goals and by the urge to evoke desired effects in the environment. To reach these effects, humans typically have to act. But at times, deciding not to act can be better suited or even the only way to reach a desired effect. What mental processes are involved when people decide not to act to reach certain effects? From the outside it may seem that nothing remarkable is happening, because no action can be observed. However, I present three studies which disclose the cognitive processes that control nonactions.
The present experiments address situations where people intentionally decide to omit certain actions in order to produce a predictable effect in the environment. These experiments are based on the ideomotor hypothesis, which suggests that bidirectional associations can be formed between actions and the resulting effects. Because of these associations, anticipating the effects can in turn activate the respective action. The results of the present experiments show that associations can be formed between nonactions (i.e., the intentional decision not to act) and the resulting effects. Due to these associations, perceiving the nonaction effects encourages not acting (Exp. 1–3). What is more, planning a nonaction seems to come with an activation of the effects that inevitably follow the nonaction (Exp. 4–5). These results suggest that the ideomotor hypothesis can be expanded to nonactions and that nonactions are cognitively represented in terms of their sensory effects. Furthermore, nonaction effects can elicit a sense of agency (Exp. 6–8). That is, even though people refrain from acting, the resulting nonaction effects are perceived as self-produced effects.
In a nutshell, these findings demonstrate that intentional nonactions include specific mechanisms and processes, which are involved, for instance, in effect anticipation and the sense of agency. This means that, while it may seem that nothing remarkable is happening when people decide not to act, complex processes run on the inside, which are also involved in intentional actions.
The Myb-MuvB (MMB) multiprotein complex is a master regulator of cell cycle-dependent gene expression. Target genes of MMB are expressed at elevated levels in several different cancer types and are included in the chromosomal instability (CIN) signature of lung, brain, and breast tumors.
This doctoral thesis showed that the complete loss of the MMB core subunit LIN9 leads to strong proliferation defects and nuclear abnormalities in primary lung adenocarcinoma cells. Transcriptome profiling and genome-wide DNA-binding analyses of MMB in lung adenocarcinoma cells revealed that MMB drives the expression of genes linked to cell cycle progression, mitosis, and chromosome segregation by direct binding to promoters of these genes. Unexpectedly, a previously unknown overlap between MMB-dependent genes and several signatures of YAP-regulated genes was identified. YAP is a transcriptional co-activator acting downstream of the Hippo signaling pathway, which is deregulated in many tumor types. Here, MMB and YAP were found to physically interact and co-regulate a set of mitotic and cytokinetic target genes, which are important in cancer. Furthermore, the activation of mitotic genes and the induction of entry into mitosis by YAP were strongly dependent on MMB. By ChIP-seq and 4C-seq, the genome-wide binding of MMB upon YAP overexpression was analyzed and long-range chromatin interaction sites of selected MMB target gene promoters were identified. Strikingly, YAP strongly promoted chromatin-association of B-MYB through binding to distal enhancer elements that interact with MMB-regulated promoters through chromatin looping.
Together, the findings of this thesis provide a so far unknown molecular mechanism by which YAP and MMB cooperate to regulate mitotic gene expression and suggest a link between two cancer-relevant signaling pathways.
The present dissertation investigates the management of RFID implementations in retail trade. Our work contributes to this by investigating important aspects that have so far received little attention in scientific literature. We therefore perform three studies about three important aspects of managing RFID implementations. We evaluate in our first study customer acceptance of pervasive retail systems using privacy calculus theory. The results of our study reveal the most important aspects a retailer has to consider when implementing pervasive retail systems. In our second study we analyze RFID-enabled robotic inventory taking with the help of a simulation model. The results show that retailers should implement robotic inventory taking if the accuracy rates of the robots are as high as the robots’ manufacturers claim. In our third and last study we evaluate the potentials of RFID data for supporting managerial decision making. We propose three novel methods in order to extract useful information from RFID data and propose a generic information extraction process. Our work is geared towards practitioners who want to improve their RFID-enabled processes and towards scientists conducting RFID-based research.
This work deals with the development and application of novel quantum Monte Carlo methods to simulate fermion-boson models. Our developments are based on the path-integral formalism, where the bosonic degrees of freedom are integrated out exactly to obtain a retarded fermionic interaction. We give an overview of three methods that can be used to simulate retarded interactions. In particular, we develop a novel quantum Monte Carlo method with global directed-loop updates that solves the autocorrelation problem of previous approaches and scales linearly with system size. We demonstrate its efficiency for the Peierls transition in the Holstein model and discuss extensions to other fermion-boson models as well as spin-boson models. Furthermore, we show how with the help of generating functionals bosonic observables can be recovered directly from the Monte Carlo configurations. This includes estimators for the boson propagator, the fidelity susceptibility, and the specific heat of the Holstein model. The algorithmic developments of this work allow us to study the specific heat of the spinless Holstein model covering its entire parameter range. Its key features are explained from the single-particle spectral functions of electrons and phonons. In the adiabatic limit, the spectral properties are calculated exactly as a function of temperature using a classical Monte Carlo method and compared to results for the Su-Schrieffer-Heeger model.
Automation in Software Performance Engineering Based on a Declarative Specification of Concerns
(2019)
Software performance is of particular relevance to software system design, operation, and evolution because it has a significant impact on key business indicators. During the life-cycle of a software system, its implementation, configuration, and deployment are subject to multiple changes that may affect the end-to-end performance characteristics. Consequently, performance analysts continually need to provide answers to and act based on performance-relevant concerns. To ensure a desired level of performance, software performance engineering provides a plethora of methods, techniques, and tools for measuring, modeling, and evaluating performance properties of software systems. However, the answering of performance concerns is subject to a significant semantic gap between the level on which performance concerns are formulated and the technical level on which performance evaluations are actually conducted. Performance evaluation approaches come with different strengths and limitations concerning, for example, accuracy, time-to-result, or system overhead. For the involved stakeholders, it can be an elaborate process to reasonably select, parameterize and correctly apply performance evaluation approaches, and to filter and interpret the obtained results. An additional challenge is that available performance evaluation artifacts may change over time, which requires to switch between different measurement-based and model-based performance evaluation approaches during the system evolution. At model-based analysis, the effort involved in creating performance models can also outweigh their benefits.
To overcome the deficiencies and enable an automatic and holistic evaluation of performance throughout the software engineering life-cycle requires an approach that: (i) integrates multiple types of performance concerns and evaluation approaches, (ii) automates performance model creation, and (iii) automatically selects an evaluation methodology tailored to a specific scenario. This thesis presents a declarative approach —called Declarative Performance Engineering (DPE)— to automate performance evaluation based on a humanreadable specification of performance-related concerns. To this end, we separate the definition of performance concerns from their solution. The primary scientific contributions presented in this thesis are:
A declarative language to express performance-related concerns and a corresponding processing framework:
We provide a language to specify performance concerns independent of a concrete performance evaluation approach. Besides the specification of functional aspects, the language allows to include non-functional tradeoffs optionally. To answer these concerns, we provide a framework architecture and a corresponding reference implementation to process performance concerns automatically. It allows to integrate arbitrary performance evaluation approaches and is accompanied by reference implementations for model-based and measurement-based performance evaluation.
Automated creation of architectural performance models from execution traces:
The creation of performance models can be subject to significant efforts outweighing the benefits of model-based performance evaluation. We provide a model extraction framework that creates architectural performance models based on execution traces, provided by monitoring tools.The framework separates the derivation of generic information from model creation routines. To derive generic information, the framework combines state-of-the-art extraction and estimation techniques. We isolate object creation routines specified in a generic model builder interface based on concepts present in multiple performance-annotated architectural modeling formalisms. To create model extraction for a novel performance modeling formalism, developers only need to write object creation routines instead of creating model extraction software from scratch when reusing the generic framework.
Automated and extensible decision support for performance evaluation approaches:
We present a methodology and tooling for the automated selection of a performance evaluation approach tailored to the user concerns and application scenario. To this end, we propose to decouple the complexity of selecting a performance evaluation approach for a given scenario by providing solution approach capability models and a generic decision engine. The proposed capability meta-model enables to describe functional and non-functional capabilities of performance evaluation approaches and tools at different granularities. In contrast to existing tree-based decision support mechanisms, the decoupling approach allows to easily update characteristics of solution approaches as well as appending new rating criteria and thereby stay abreast of evolution in performance evaluation tooling and system technologies.
Time-to-result estimation for model-based performance prediction:
The time required to execute a model-based analysis plays an important role in different decision processes. For example, evaluation scenarios might require the prediction results to be available in a limited period of time such that the system can be adapted in time to ensure the desired quality of service. We propose a method to estimate the time-to-result for modelbased performance prediction based on model characteristics and analysis parametrization. We learn a prediction model using performancerelevant features thatwe determined using statistical tests. We implement the approach and demonstrate its practicability by applying it to analyze a simulation-based multi-step performance evaluation approach for a representative architectural performance modeling formalism.
We validate each of the contributions based on representative case studies. The evaluation of automatic performance model extraction for two case study systems shows that the resulting models can accurately predict the performance behavior. Prediction accuracy errors are below 3% for resource utilization and mostly less than 20% for service response time. The separate evaluation of the reusability shows that the presented approach lowers the implementation efforts for automated model extraction tools by up to 91%. Based on two case studies applying measurement-based and model-based performance evaluation techniques, we demonstrate the suitability of the declarative performance engineering framework to answer multiple kinds of performance concerns customized to non-functional goals. Subsequently, we discuss reduced efforts in applying performance analyses using the integrated and automated declarative approach. Also, the evaluation of the declarative framework reviews benefits and savings integrating performance evaluation approaches into the declarative performance engineering framework. We demonstrate the applicability of the decision framework for performance evaluation approaches by applying it to depict existing decision trees. Then, we show how we can quickly adapt to the evolution of performance evaluation methods which is challenging for static tree-based decision support systems. At this, we show how to cope with the evolution of functional and non-functional capabilities of performance evaluation software and explain how to integrate new approaches. Finally, we evaluate the accuracy of the time-to-result estimation for a set of machinelearning algorithms and different training datasets. The predictions exhibit a mean percentage error below 20%, which can be further improved by including performance evaluations of the considered model into the training data. The presented contributions represent a significant step towards an integrated performance engineering process that combines the strengths of model-based and measurement-based performance evaluation. The proposed performance concern language in conjunction with the processing framework significantly reduces the complexity of applying performance evaluations for all stakeholders. Thereby it enables performance awareness throughout the software engineering life-cycle. The proposed performance concern language removes the semantic gap between the level on which performance concerns are formulated and the technical level on which performance evaluations are actually conducted by the user.
Two chiral chemical molecules being mirror images of each other, also referred to as enantiomers, may have different pharmacokinetic, pharmacodynamic, and toxicological effects. Thus, pharmaceutical manufacturers and authorities are increasingly interested in the approval of enantiopure drugs. However, the isomeric purity and the limits for isomeric impurities have to be specified applying enantioselective analytical methods, such as capillary electrophoresis.
The separation of enantiomers in capillary electrophoresis may be improved by the addition of ionic liquids to the background electrolyte. The aim of this work was to investigate the influence of different separation conditions on the enantioseparation of phenethylamines in background electrolytes containing ionic liquids based on tetrabutylammonium cations.
Best chiral separations were achieved at acidic pH values using phosphate buffers containing 125 mmol/L tetrabutylammonium based salts. Different reasons explaining enhanced enantioseparations in buffers containing ionic liquids were found. First, due to an improvement of the cyclodextrin solubility, the addition of ionic liquids to the background electrolyte enables the use of higher concentrations of these chiral selector. Furthermore, the adsorption of tetrabutylammonium cations to the negatively charged capillary surface results in a reduction of the electroosmotic flow. Hence, the resulting prolongation of migration times leads to a longer period of time for the separation of temporarily formed diastereomeric analyte cyclodextrin complexes, which yields improved enantioseparation. Additionally, due to a decrease of the adsorption of positively charged phenethylamine analyte molecules to capillary surface silanol groups, the adsorption of ionic liquid cations inhibits peak broadening. A further reason explaining an enhanced enantioseparation by the addition of ionic liquids to the background electrolyte is a competition between tetrabutylammonium cations and analyte enantiomers for the inclusion into cyclodextrin cavities.
Furthermore, the influence of different chiral counterions, combined with tetrabutylammonium cations, on the enantioseparation of phenethylamines was investigated. Solely anions based on the basic proteinogenic amino acids L lysine and L arginine yielded chiral separation results superior to those achieved using achiral tetrabutylammonium chloride as background electrolyte additive. Especially the application of tetrabutylammonium L argininate gave very good enantioseparations of all investigated ephedrine derivatives, which might be explained by the ability of L arginine to affect the formation of complexes between analytes and cyclodextrins.
Besides the investigation of the influence of ionic liquids on the enantioseparation, complexes between phenethylamine enantiomers and β cyclodextrin derivatives were characterized by affinity capillary electrophoresis. The binding constants between analyte enantiomers and cyclodextrins and the electrophoretic mobilities of the temporarily formed complexes were determined and compared to the observed chiral resolution values. While neither the calculated binding constants nor their differences correlated with the quality of the enantioseparation, a strong correlation between the differences of the electrophoretic mobilities of the complexes and the chiral resolution values was found.
Supramolecular Block Copolymers by Seeded Living Supramolecular Polymerization of Perylene Bisimides
(2019)
The research on supramolecular polymerization has undergone a rapid development in the last two decades, particularly since supramolecular polymers exhibit a broad variety of functionalities and applications in organic electronics, biological science or as functional materials (Chapter 2.1). Although former studies have focused on investigation of the thermodynamics of supramolecular polymerization (Chapter 2.2), the academic interest in the recent years shifted towards gaining insight into kinetically controlled self-assembly and pathway complexity to generate novel out-of-equilibrium architectures with interesting nanostructures and features (Chapter 2.3). Along this path, the concepts of seeded and living supramolecular polymerization were recently developed to enable the formation of supramolecular polymers with controlled length and low polydispersity under precise kinetic control (Chapter 2.4). Besides that, novel strategies were developed to achieve supramolecular copolymerization resulting in complex multicomponent nanostructures with different structural motives. The classification of these supramolecular copolymers on the basis of literature examples and an overview of previously reported principles to create such supramolecular architectures are provided in Chapter 2.5.
The aim of the thesis was the non-covalent synthesis of highly desirable supramolecular block copolymers by the approach of living seeded supramolecular polymerization and to study the impact of the molecular shape of the monomeric building blocks on the supramolecular copolymerization. Based on the structure of the previously investigated PBI organogelator H-PBI a series of novel PBIs, bearing identical hydrogen-bonding amide side-groups in imide-position and various kind or number of substituents in bay-position, was synthesized and analyzed within this thesis. The new PBIs were successfully obtained in three steps starting from the respective bromo-substituted perylene-3,4:9,10-tetracarboxylic acid tetrabutylesters or from the N,N’-dicyclohexyl-1,7-dibromoperylene-3,4:9,10-tetracarboxylic acid bisimide. All target compounds were obtained in the final step by imidization reactions of the respective perylene tetracarboxylic acid bisanhydride precursors with N-(2-aminoethyl)-3,4,5-tris(dodecyloxy)-benzamide and were fully characterized by 1H and 13C NMR spectroscopy as well as high resolution mass spectrometry.
The variation of bay-substituents strongly changes the optical properties of the monomeric PBIs which were investigated by UV/vis and fluorescence spectroscopy. The increase of the number of the methoxy-substituents provokes, for example, a red-shift of the absorption maxima concomitant with a decrease of extinction coefficients and leads to a drastic increase of the fluorescence quantum yields. Furthermore, the molecular geometry of the PBIs is also affected by variations of the bay-substituents. Thus, increasing the steric demand of the bay-substituents leads to an enlargement of the twist angles of the PBI cores as revealed by DFT calculations.
Especially the 1,7-dimethoxy bay-substituted MeO-PBI proved to be very well-suited for the studies envisioned within this thesis. The self-assembly of this PBI derivative was analyzed in detail by UV/vis, fluorescence and FT-IR spectroscopy as well as atomic force microscopy (Chapter 3). These studies revealed that MeO-PBI forms in a solvent mixture of methylcyclohexane and toluene (2:1, v/v) kinetically trapped off-pathway H-aggregated nanoparticles upon fast cooling of a monomeric solution from 90 to 20 °C. However, upon slow cooling of the monomer solution fluorescent J-type nanofibers are formed by π π interactions and intermolecular hydrogen-bonding.
The kinetically metastable off-pathway H-aggregates can be transformed into the thermodynamically more favored J-type aggregates by addition of seeds, which are produced by ultrasonication of the polymeric nanofibers. Interestingly, the living character of this seed-induced supramolecular polymerization process was proven by a newly designed multicycle polymerization experimental protocol. This living polymerization experiment clearly proves, that the polymerization can only occur at the “active” ends of the polymeric seed and that almost no recombination or chain termination processes are present. Hence, the approach of living supramolecular polymerization enables the formation of supramolecular polymers with controlled length and narrow polydispersity.
In Chapter 4 the copolymerization of MeO-PBI with the structurally similar 1,7-dichloro (Cl-PBI) and 1,7-dimethylthio (MeS-PBI) bay-substituted PBIs is studied in detail. Both PBIs form analogous to MeO-PBI kinetically trapped off-pathway aggregates, which can be converted into the thermodynamically stable supramolecular polymers by seed-induced living supramolecular polymerization under precise kinetic control. However, the stability of the kinetically trapped aggregates of Cl-PBI and MeS-PBI is distinctly reduced compared to that of MeO-PBI, because the π-π-interactions of the kinetically metastable aggregates are hampered through the increased twisting of the PBI-cores of the former PBIs. UV/vis studies revealed that the two-component seeded copolymerization of the kinetically trapped state of MeO-PBI with seeds of Cl-PBI leads to the formation of unprecedented supramolecular block copolymers with A-B-A pattern by a living supramolecular polymerization process at the termini of the seeds. Remarkably, the resulting A-B-A block pattern of the obtained copolymers was clearly confirmed by atomic force microscopy studies as the respective blocks formed by the individual monomeric units could be distinguished by the pitches of the helical nanofibers.
Moreover, detailed UV/vis and AFM studies have shown that by inverted two-component seed-induced polymerization, e.g., upon addition of seeds of MeO-PBI to the kinetically trapped aggregates of Cl-PBI, triblock supramolecular copolymers with B-A-B pattern can be generated. The switching of the block pattern could only be achieved because of the perfectly matching conditions for the copolymerization process and the tailored molecular geometry of the individual building blocks of both PBIs. These studies have demonstrated for the first time, that the block pattern of a supramolecular copolymer can be modulated by the experimental protocol through the approach of living supramolecular polymerization. Furthermore, by UV/vis analysis of the living copolymerization of MeO-PBI and MeS-PBI similar results were obtained showing also the formation of both A-B-A and B-A-B type supramolecular block copolymers. Although for these two PBIs the individual blocks could not be identified by AFM because the helical nanofibers of both PBIs exhibit identical helical pitches, these studies revealed for the first time that the approach of seeded living polymerization is not limited to a special pair of monomeric building blocks.
In the last part of the thesis (Chapter 5) a systematic study on the two-component living copolymerization of PBIs with various sterical demanding bay-substituents is provided. Thus, a series of PBIs containing identical hydrogen-bonding amide groups in imide position but variable number (1-MeO-PBI, MeO-PBI, 1,6,7-MeO-PBI, 1,6,7,12-MeO-PBI) or size (EtO-PBI, iPrO-PBI) of alkoxy bay-substituents was investigated. The molecular geometry of the monomeric building blocks has a strong impact on the thermodynamically and even more pronounced on the kinetically controlled aggregation in solvent mixtures of MCH and Tol. While the mono- and dialkoxy-substituted PBIs form kinetically metastable species, the self-assembly of the tri- and tetramethoxy-substituted PBIs (1,6,7-MeO-PBI and 1,6,7,12-MeO-PBI) is completely thermodynamically controlled. The two 1,7-alkoxy substituted PBIs (EtO-PBI, iPrO-PBI) form very similar to MeO-PBI kinetically off-pathway H-aggregates and thermodynamically more favored J-type aggregates. However, the stability of the kinetically metastable state is drastically lower and the conversion into the thermodynamically favored state much faster than for MeO-PBI. In contrast, the monomethoxy-substituted PBI derivative (1-MeO-PBI) forms a kinetically trapped species by intramolecular hydrogen-bonding of the monomers, which can be transformed into the thermodynamically favored nanofibers by seeded polymerization.
Importantly, the two-component seeded copolymerization of the kinetically trapped MeO PBI with seeds of other PBIs of the present series was studied by UV/vis and AFM revealing that the formation of supramolecular block copolymers is only possible for appropriate combinations of PBI building blocks. Thus, the seeded polymerization of the trapped state of the moderately core-twisted MeO-PBI with the, according to DFT-calculations, structurally similar PBIs (EtO-PBI and iPrO-PBI) leads to the formation of A-B-A block copolymers, like in the seeded copolymerization of MeO-PBItrapped with seeds of Cl-PBI and MeS-PBI already described in Chapter 4. However, by addition of seeds of the almost planar PBIs (H-PBI and 1-MeO-PBI) or seeds of the strongly core-twisted PBIs (1,6,7-MeO-PBI and 1,6,7,12-MeO-PBI) to the kinetically trapped state of MeO-PBI no block copolymers can be obtained. The mismatching geometry of these molecular building blocks strongly hampers both the intermolecular hydrogen-bonding and the π-π-interactions between the two different PBIs and consequently prevents the copolymerization process.
Furthermore, the studies of the two-component seeded copolymerization of the kinetically trapped species of 1-MeO-PBI with seeds of the other PBIs also corroborated that a precise shape complementarity is crucial to generate supramolecular block copolymers. Thus, by addition of seeds of H-PBI to the kinetically trapped monomers of 1-MeO-PBI supramolecular block copolymers were generated. Both PBIs exhibit an almost planar PBI core according to DFT-calculations leading to strong non-covalent interactions between these PBIs. This perfectly matching geometry of both PBIs also enables the inverted seeded copolymerization of the kinetically trapped monomers of H-PBI with 1-MeO-PBIseed concomitant with a switching of the block pattern of the supramolecular copolymer from A-B-A to B-A-B type. In contrast, the seeding with the moderately twisted (MeO-PBI, EtO-PBI and iPrO-PBI) and the strongly twisted PBIs (1,6,7-MeO-PBI and 1,6,7,12 MeO-PBI) has no effect on the kinetically trapped state of 1-MeO-PBI, because the copolymerization of these PBIs is prevented by the mismatching geometry of the molecular building blocks.
In conclusion, the supramolecular polymerization and two-component seeded copolymerization of a series of PBI monomers was investigated within this thesis. The studies revealed that the thermodynamically and kinetically controlled self-assembly can be strongly modified by subtle changes of the monomeric building blocks. Moreover, the results have shown that living supramolecular polymerization is an exceedingly powerful method to generate unprecedented supramolecular polymeric nanostructures with controlled block pattern and length distribution. The formation of supramolecular block copolymers can only be achieved under precise kinetic control of the polymerization process and is strongly governed by the shape complementarity already imparted in the individual components. Thus, these insightful studies might enable a more rational design of monomeric building blocks for the non-covalent synthesis of highly complex supramolecular architectures with interesting properties for possible future applications, e.g., as novel functional materials.
Chronic Kidney Disease as an Important Co-morbid Condition in Coronary Heart Disease Patients
(2019)
In patients with coronary heart disease (CHD) the control of the modifiable “traditional” cardiovascular risk factors such as hypertension, dyslipidemia, diabetes, achieving/maintaining normal body weight and smoking cessation is of major importance to improve prognosis. Guideline recommendations for secondary CHD prevention include specific treatment targets for blood pressure, lipid levels, and markers of glucose metabolism for both younger and older patients. Chronic kidney disease (CKD) has been identified as a “non-traditional” risk factor for worse outcome in CHD patients, as it is associated with a markedly increased risk for subsequent CV events and mortality.
The specific objectives of the current thesis-project are to investigate (a) the quality of care in a recent sample of German CHD patients and to investigate variation of risk factor control between younger and elder patients (≤70 versus >70 years), (b) to analyze the prevalence of CKD across Europe in stable CHD patients in the outpatient setting and during a hospital stay for CHD, (c) to investigate the level of awareness of CKD in German CHD patients and their treating physicians.
Data from the European-wide EUROASPIRE IV study were used that include data on 7998 CHD patients in the ambulatory setting (study visit) and during a hospital stay for CHD (index). The German EUROASPIRE IV study center in Würzburg recruited 536 patients in 2012-2013. Risk factor control was compared against the current recommendations of the European Society of Cardiology. CKD was described by stages of glomerular filtration rate (eGFR) and albuminuria. German patients were asked in an additional kidney specific module whether they have ever been told by a physician about renal impairment. The fact that CKD or acute kidney injury (AKI) was mentioned in prominent parts of the hospital discharge letter as well as correct ICD-coding of CKD or AKI served as a proxy for physician’s awareness of CKD.
The majority of German CHD patients was treated with the recommended drug therapies including e.g. β-blockers, anti-platelets and statins. However, treatment targets for blood pressure and LDL-cholesterol levels were not achieved in many patients (45% and 53%, respectively) and glycemic control in diabetic CHD patients with HbA1-levels <7% was insufficient (61%). A minority of patients reported on current smoking (10%), but unhealthy life-styles e.g. overweight/obesity (85%/37%) were frequent. Patterns of care differed between younger and older CHD patients while older patients were less likely to receive the recommended medical CHD-therapy, were more likely to have uncontrolled blood pressure and also to be diabetic. However, a greater proportion of diabetic patients >70 years was achieving the HbA1c target, and less elder patients were current smokers or were obese. About 17% of patients on average had CKD (eGFR< 60 ml/min/1.73m²) in the entire European sample at the study visit, and an additional 10% had albuminuria despite preserved eGFR, with considerable variation among countries. Impaired kidney function was observed in every fifth patient admitted for CHD in the entire European dataset of the EUROASPIRE IV study. Of the German CHD patients with CKD at the study visit, only a third were aware of their renal impairment. A minority of these patients was being seen by nephrologists, however, with a higher likelihood of CKD awareness and specialist care in more advanced stages of CKD. About a third of patients admitted for CHD showed either CKD or AKI during the hospital stay, but the discharge letter mentioned chronic or acute kidney disease only in every fifth of these patients. In contrast, correct ICD coding of CKD or AKI was more complete, but still suboptimal.
In summary, quality of secondary prevention in German CHD patients indicates considerably room for improvement, with life-style modifications may become an even greater factor in prevention campaigns than medical treatment into certain target ranges. Preventive therapies should also consider different needs in older individuals acknowledging physical and mental potential, other comorbidities and drug-interactions with co-medication. CKD is common in CHD patients, not only in the elderly. Since CHD and CKD affect each other and impact on worse prognosis of each other, raising the awareness of CKD among patients and physicians and considering CKD in medical therapy may improve prognosis and slow disease progression of CHD as well as CKD.
Energy efficiency of computing systems has become an increasingly important issue over the last decades. In 2015, data centers were responsible for 2% of the world's greenhouse gas emissions, which is roughly the same as the amount produced by air travel.
In addition to these environmental concerns, power consumption of servers in data centers results in significant operating costs, which increase by at least 10% each year.
To address this challenge, the U.S. EPA and other government agencies are considering the use of novel measurement methods in order to label the energy efficiency of servers.
The energy efficiency and power consumption of a server is subject to a great number of factors, including, but not limited to, hardware, software stack, workload, and load level.
This huge number of influencing factors makes measuring and rating of energy efficiency challenging. It also makes it difficult to find an energy-efficient server for a specific use-case. Among others, server provisioners, operators, and regulators would profit from information on the servers in question and on the factors that affect those servers' power consumption and efficiency. However, we see a lack of measurement methods and metrics for energy efficiency of the systems under consideration.
Even assuming that a measurement methodology existed, making decisions based on its results would be challenging. Power prediction methods that make use of these results would aid in decision making. They would enable potential server customers to make better purchasing decisions and help operators predict the effects of potential reconfigurations.
Existing energy efficiency benchmarks cannot fully address these challenges, as they only measure single applications at limited sets of load levels. In addition, existing efficiency metrics are not helpful in this context, as they are usually a variation of the simple performance per power ratio, which is only applicable to single workloads at a single load level. Existing data center efficiency metrics, on the other hand, express the efficiency of the data center space and power infrastructure, not focusing on the efficiency of the servers themselves. Power prediction methods for not-yet-available systems that could make use of the results provided by a comprehensive power rating methodology are also lacking. Existing power prediction models for hardware designers have a very fine level of granularity and detail that would not be useful for data center operators.
This thesis presents a measurement and rating methodology for energy efficiency of servers and an energy efficiency metric to be applied to the results of this methodology. We also design workloads, load intensity and distribution models, and mechanisms that can be used for energy efficiency testing. Based on this, we present power prediction mechanisms and models that utilize our measurement methodology and its results for power prediction.
Specifically, the six major contributions of this thesis are:
We present a measurement methodology and metrics for energy efficiency rating of servers that use multiple, specifically chosen workloads at different load levels for a full system characterization.
We evaluate the methodology and metric with regard to their reproducibility, fairness, and relevance. We investigate the power and performance variations of test results and show fairness of the metric through a mathematical proof and a correlation analysis on a set of 385 servers. We evaluate the metric's relevance by showing the relationships that can be established between metric results and third-party applications.
We create models and extraction mechanisms for load profiles that vary over time, as well as load distribution mechanisms and policies. The models are designed to be used to define arbitrary dynamic load intensity profiles that can be leveraged for benchmarking purposes. The load distribution mechanisms place workloads on computing resources in a hierarchical manner.
Our load intensity models can be extracted in less than 0.2 seconds and our resulting models feature a median modeling error of 12.7% on average. In addition, our new load distribution strategy can save up to 10.7% of power consumption on a single server node.
We introduce an approach to create small-scale workloads that emulate the power consumption-relevant behavior of large-scale workloads by approximating their CPU performance counter profile, and we introduce TeaStore, a distributed, micro-service-based reference application. TeaStore can be used to evaluate power and performance model accuracy, elasticity of cloud auto-scalers, and the effectiveness of power saving mechanisms for distributed systems.
We show that we are capable of emulating the power consumption behavior of realistic workloads with a mean deviation less than 10% and down to 0.2 watts (1%). We demonstrate the use of TeaStore in the context of performance model extraction and cloud auto-scaling also showing that it may generate workloads with different effects on the power consumption of the system under consideration.
We present a method for automated selection of interpolation strategies for performance and power characterization. We also introduce a configuration approach for polynomial interpolation functions of varying degrees that improves prediction accuracy for system power consumption for a given system utilization.
We show that, in comparison to regression, our automated interpolation method selection and configuration approach improves modeling accuracy by 43.6% if additional reference data is available and by 31.4% if it is not.
We present an approach for explicit modeling of the impact a virtualized environment has on power consumption and a method to predict the power consumption of a software application. Both methods use results produced by our measurement methodology to predict the respective power consumption for servers that are otherwise not available to the person making the prediction.
Our methods are able to predict power consumption reliably for multiple hypervisor configurations and for the target application workloads. Application workload power prediction features a mean average absolute percentage error of 9.5%.
Finally, we propose an end-to-end modeling approach for predicting the power consumption of component placements at run-time. The model can also be used to predict the power consumption at load levels that have not yet been observed on the running system.
We show that we can predict the power consumption of two different distributed web applications with a mean absolute percentage error of 2.2%. In addition, we can predict the power consumption of a system at a previously unobserved load level and component distribution with an error of 1.2%.
The contributions of this thesis already show a significant impact in science and industry. The presented efficiency rating methodology, including its metric, have been adopted by the U.S. EPA in the latest version of the ENERGY STAR Computer Server program. They are also being considered by additional regulatory agencies, including the EU Commission and the China National Institute of Standardization. In addition, the methodology's implementation and the underlying methodology itself have already found use in several research publications.
Regarding future work, we see a need for new workloads targeting specialized server hardware. At the moment, we are witnessing a shift in execution hardware to specialized machine learning chips, general purpose GPU computing, FPGAs being embedded into compute servers, etc. To ensure that our measurement methodology remains relevant, workloads covering these areas are required. Similarly, power prediction models must be extended to cover these new scenarios.
Hematopoietic stem cell transplantation is a curative therapy for malignant diseases of the haematopoietic system. The patients first undergo chemotherapy or irradiation therapy which depletes the majority of tumour cells before they receive the transplant, consisting of haematopoietic stem cells and mature T cells from a healthy donor. The donor T cells kill malignant cells that have not been eliminated by the conditioning therapy (graft versus leukaemia effect, GvL), and, therefore, are crucially required to prevent relapse of the tumour. However, the donor T cells may also severely damage the patient’s organs causing acute graft versus host disease (aGvHD). In mice, aGvHD can be prevented by interfering with the co-stimulatory CD28 signal on donor T cells. However, experimental models using conventional CD28 knockout mice as T cell donors or αCD28 antibodies have some disadvantages, i.e. impaired T cell development in the thymus of CD28 knockout mice and systemic CD28 blockade with αCD28 antibodies. Thus, it remains unclear how CD28 co-stimulation on different donor T cell subsets contributes to the GvL effect and aGvHD, respectively.
We developed mouse models of aGvHD and the GvL effect that allowed to selectively delete CD28 on certain donor T cell populations or on all donor T cells. CD4+ conventional T cells (Tconv cells), regulatory T cells (Treg cells) or CD8+ T cells were isolated from either Tamoxifen-inducible CD28 knockout (iCD28KO) mice or their wild type (wt) littermates. Allogeneic recipient mice were then transplanted with T cell depleted bone marrow cells and different combinations of iCD28KO and wt T cell subsets. Tamoxifen treatment of the recipients caused irreversible CD28 deletion on the iCD28KO donor T cell population. In order to study the GvL response, BCL-1 tumour cells were injected into the mice shortly before transfer of the T cells.
CD4+ Tconv mediated aGvHD was efficiently inhibited when wt Treg cells were co-transplanted. In contrast, after selective CD28 deletion on donor Treg cells, the mice developed a late and lethal flare of aGvHD, i.e. late-onset aGvHD. This was associated with a decline in iCD28KO Treg cell numbers around day 20 after transplantation. CD28 ablation on either donor CD4+ Tconv cells or CD8+ T cells reduced but did not abrogate aGvHD. Moreover, iCD28KO and wt CD8+ T cells were equally capable of killing allogeneic target cells in vivo and in vitro. Due to this sufficient anti-tumour activity of iCD28KO CD8+ T cells, they had a therapeutic effect in our GvL model and 25% of the mice survived until the end of the experiment (day 120) without any sign of the malignant disease. Similarly, CD28 deletion on all donor T cells induced long-term survival. This was not the case when all donor T cells were isolated from wt donor mice. In contrast to the beneficial outcome after CD28 deletion on all donor T cells or only CD8+ T cells, selective CD28 deletion on donor CD4+ Tconv cells completely abrogated the GvL effect due to insufficient CD4+ T cell help from iCD28KO CD4+ Tconv cells.
This study demonstrates that therapeutic inhibition of the co-stimulatory CD28 signal in either all donor T cells or only in CD8+ T cells might protect patients from aGvHD without increasing the risk of relapse of the underlying disease. Moreover, deletion of CD28 on donor Treg cells constitutes a mouse model of late-onset aGvHD which can be a useful tool in aGvHD research.
Protein quality control systems are critical for cellular proteostasis and survival under stress conditions. The ubiquitin proteasome system (UPS) plays a pivotal role in proteostasis by eliminating misfolded and damaged proteins. However, exposure to the environmental toxin arsenite results in the accumulation of polyubiquitylated proteins, indicating an overload of the UPS. Arsenite stress induces the rapid formation of stress granules (SGs), which are cytoplasmic assemblies of mRNPs stalled in translation initiation. The mammalian proteins ZFAND2A/B (also known as AIRAP and AIRAPL, respectively) bind to the 26S proteasome, and ZFAND2A has been shown to adapt proteasome activity to arsenite stress. They belong to a small subfamily of AN1 type zinc finger containing proteins that also comprises the unexplored mammalian member ZFAND1 and its yeast homolog Cuz1.
In this thesis, the cellular function of Cuz1 and ZFAND1 was investigated. Cuz1/ZFAND1 was found to interact with the ubiquitin-selective, chaperone-like ATPase Cdc48/p97 and with the 26S proteasome. The interaction between Cuz1/ZFAND1 and Cdc48/p97 requires a predicted ubiquitin-like domain of Cuz1/ZFAND1. In vivo, this interaction was strongly dependent on acute arsenite stress, suggesting that it is a part of the cellular arsenite stress response. Lack of Cuz1/ZFAND1 caused a defect in the clearance of arsenite induced SG clearance. ZFAND1 recruits both, the 26S proteasome and p97, to arsenite-induced SGs for their normal clearance. In the absence of ZFAND1, SGs lack the 26S proteasome and p97, accumulate defective ribosomal products and become aberrant. These aberrant SGs persist after arsenite removal and undergo degradation via autophagy. ZFAND1 depletion is epistatic to the expression of pathogenic mutant p97 with respect to SG clearance, suggesting that ZFAND1 function is relevant to the multisystem degenerative disorder, inclusion body myopathy associated with Paget’s disease of bone and frontotemporal dementia and amyotrophic lateral sclerosis (IBMPFD/ALS).
Herein described are the isolation, structural elucidation, and biological evaluation of highly thrilling monomeric and dimeric new naphthylisoquinoline alkaloids from A. ealaensis. The separation, chiral resolution, and characterization of a series of stereoisomeric 2,3-dihydrobenzofuran neolignans are also reported. The analytical and phytochemical analysis on two Congolese antimalarial herbal drugs is part of the last chapter of the results. In this last case, major concerns on widely used Congolese herbal drugs are discussed.
The field of human-computer interaction (HCI) strives for innovative user interfaces. Innovative and novel user interfaces are a challenge for a growing population of older users and endanger older adults to be excluded from an increasingly digital world. This is because older adults often have lower cognitive abilities and little prior experiences with technology.
This thesis aims at resolving the tension between innovation and age-inclusiveness by developing user interfaces that can be used regardless of cognitive abilities and technology-dependent prior knowledge.
The method of image-schematic metaphors holds promises for innovative and age-inclusive interaction design. Image-schematic metaphors represent a form of technology-independent prior knowledge. They reveal basic mental models and can be gathered in language (e.g. bank account is container from "I put money into my bank account").
Based on a discussion of previous applications of image-schematic metaphors in HCI, the present work derives three empirical research questions regarding image-schematic metaphors for innovative and age-inclusive interaction design.
The first research question addresses the yet untested assumption that younger and older adults overlap in their technology-independent prior knowledge and, therefore, their usage of image-schematic metaphors. In study 1, a total of 41 participants described abstract concepts from the domains of online banking and everyday life. In study 2, ten contextual interviews were conducted. In both studies, younger and older adults showed a substantial overlap of 70% to 75%, indicating that also their mental models overlap substantially.
The second research question addresses the applicability and potential of image-schematic metaphors for innovative design from the perspective of designers. In study 3, 18 student design teams completed an ideation process with either an affinity diagram as the industry standard, image-schematic metaphors or both methods in combination and created paper prototypes. The image-schematic metaphor method alone, but not the combination of both methods, was readily adopted and applied just as a well as the more familiar standard method.
In study 4, professional interaction designers created prototypes either with or without image-schematic metaphors. In both studies, the method of image-schematic metaphors was perceived as applicable and creativity stimulating.
The third research question addresses whether designs that explicitly follow image-schematic metaphors are more innovative and age-inclusive regarding differences in cognitive abilities and prior technological knowledge. In two experimental studies (study 5 and 6) involving a total of 54 younger and 53 older adults, prototypes that were designed with image-schematic metaphors were perceived as more innovative compared to those who were designed without image-schematic metaphors. Moreover, the impact of prior technological knowledge on interaction was reduced for prototypes that had been designed with image-schematic metaphors. However, participants' cognitive abilities and age still influenced the interaction significantly.
The present work provides empirical as well as methodological findings that can help to promote the method of image-schematic metaphors in interaction design. As a result of these studies it can be concluded that the image-schematic metaphors are an applicable and effective method for innovative user interfaces that can be used regardless of prior technological knowledge.
This thesis describes the growth and characterization of epitaxial MnSi thin films on Si substrates. The interest in this material system stems from the rich magnetic phase diagram resulting from the noncentrosymmetric B20 crystal structure. Here neighboring spins prefer a tilted relative arrangement in contrast to ferro- and antiferromagnets, which leads to a helical ground state where crystal and spin helix chirality are linked [IEM+85]. This link makes the characterization and control of the crystal chirality the main goal of this thesis.
After a brief description of the material properties and applied methods, the thesis itself is divided into four main parts. In the first part the advancement of the MBE growth process of MnSi on Si\((111)\) substrate as well as the fundamental structural characterization are described. Here the improvement of the substrate interface by an adjusted substrate preparation process is demonstrated, which is the basis for well ordered flat MnSi layers. On this foundation the influence of Mn/Si flux ratio and substrate temperature on the MnSi layer growth is investigated via XRD and clear boundaries to identify the optimal growth conditions are determined. The nonstoichiometric phases outside of this optimal growth window are identified as HMS and Mn\(_5\)Si\(_3\).
Additionally, a regime at high substrate temperatures and low Mn flux is discovered, where MnSi islands are growing incorporated in a Si layer, which could be interesting for further investigations as a size confinement can change the magnetic phase diagram [DBS+18]. XRD measurements demonstrate the homogeneity of the grown MnSi layers over most of the 3 inch wafer diameter and a small \(\omega\)-FWHM of about 0.02° demonstrates the high quality of the layers. XRD and TEM measurements also show that relaxation of the layers happens via misfit dislocations at the interface to the substrate.
The second part of the thesis is concerned with the crystal chirality. Here azimuthal \(\phi\)-scans of asymmetric XRD reflections reveal twin domains with a \(\pm\)30° rotation to the substrate. These twin domains seem to consist of left and right-handed MnSi, which are connected by a mirror operation at the \((\bar{1}10)\) plane. For some of the asymmetric XRD reflections this results in different intensities for the different twin domains, which reveals that one of the domains is rotated +30° and the other is rotated -30°. From XRD and TEM measurements an equal volume fraction of both domains is deduced. Different mechanisms to suppress these twin domains are investigated and successfully achieved with the growth on chiral Si surfaces, namely Si\((321)\) and Si\((531)\). Azimuthal \(\phi\)-scans of asymmetric XRD reflections demonstrate a suppression of up to 92%. The successful twin suppression is an important step in the use of MnSi for the proposed spintronics applications with skyrmions as information carriers, as discussed in the introduction.
Because of this achievement, the third part of the thesis on the magnetic properties of the MnSi thin films is not only concerned with the principal behavior, but also with the difference between twinned and twin suppressed layers. Magnetometry measurements are used to demonstrate, that the MnSi layers behave principally as expected from the literature. The analysis of saturation and residual magnetization hints to the twin suppression on Si\((321)\) and Si\((531)\) substrates and further investigations with more samples can complete this picture. For comparable layers on Si\((111)\), Si\((321)\) and Si\((531)\) the Curie-Weiss temperature is identical within 1 K and the critical field within 0.1 T.
Temperature dependent magnetoresistivity measurements also demonstrate the expected \(T^2\) behavior not only on Si\((111)\) but also on Si\((321)\) substrates. This demonstrates the successful growth of MnSi on Si\((321)\) and Si\((531)\) substrates. The latter measurements also reveal a residual resistivity of less then half for MnSi on Si\((321)\) in comparison to Si\((111)\). This can be explained with the reduced number of domain boundaries demonstrating the successful suppression of one of the twin domains. The homogeneity of the residual resistivity as well as the charge carrier density over a wide area of the Si\((111)\) wafer is also demonstrated with these measurements as well as Hall effect measurements.
The fourth part shows the AMR and PHE of MnSi depending on the angle between in plane current and magnetic field direction with respect to the crystal direction. This was proposed as a tool to identify skyrmions [YKT+15]. The influence of the higher C\(_{3\mathrm{v}}\) symmetry of the twinned system instead of the C\(_3\) symmetry of a B20 single crystal is demonstrated. The difference could serve as a useful additional tool to prove the twin suppression on the chiral substrates. But this is only possible for rotations with specific symmetry surfaces and not for the studied unsymmetrical Si\((321)\) surface. Measurements for MnSi layers on Si\((111)\) above the critical magnetic field demonstrate the attenuation of AMR and PHE parameters for increasing resistivity, as expected from literature [WC67]. Even if a direct comparison to the parameters on Si\((321)\) is not possible, the higher values of the parameters on Si\((321)\) can be explained considering the reduced charge carrier scattering from domain boundaries. Below the critical magnetic field, which would be the region where a skyrmion lattice could be expected, magnetic hysteresis complicates the analysis. Only one phase transition at the critical magnetic field can be clearly observed, which leaves the existence of a skyrmion lattice in thin epitaxial MnSi layers open.
The best method to solve this question seems to be a more direct approach in the form of Lorentz-TEM, which was also successfully used to visualize the skyrmion lattice for thin plates of bulk MnSi [TYY+12]. For the detection of in plane skyrmions, lamellas would have to be prepared for a side view, which seems in principle possible.
The demonstrated successful twin suppression for MnSi on Si\((321)\) and Si\((531)\) substrates may also be applied to other material systems.
Suppressing the twinning in FeGe on Si\((111)\) would lead to a single chirality skyrmion lattice near room temperature [HC12]. This could bring the application of skyrmions as information carriers in spintronics within reach.
Glossary:
MBE Molecular Beam Epitaxy
XRD X-Ray Diffraction
HMS Higher Manganese Silicide
FWHM Full Width Half Maximum
TEM Tunneling Electron Microscopy
AMR Anisotropic MagnetoResistance
PHE Planar Hall Effect
Bibliography:
[IEM+85] M. Ishida, Y. Endoh, S. Mitsuda, Y. Ishikawa, and M. Tanaka. Crystal Chirality and Helicity of the Helical Spin Density Wave in MnSi. II. Polarized Neutron Diffraction. Journal of the Physical Society of Japan, 54(8):2975, 1985.
[DBS+18] B. Das, B. Balasubramanian, R. Skomski, P. Mukherjee, S. R. Valloppilly, G. C. Hadjipanayis, and D. J. Sellmyer. Effect of size confinement on skyrmionic properties of MnSi nanomagnets. Nanoscale, 10(20):9504, 2018.
[YKT+15] T. Yokouchi, N. Kanazawa, A. Tsukazaki, Y. Kozuka, A. Kikkawa, Y. Taguchi, M. Kawasaki, M. Ichikawa, F. Kagawa, and Y. Tokura. Formation of In-plane Skyrmions in Epitaxial MnSi Thin Films as Revealed by Planar Hall Effect. Journal of the Physical Society of Japan, 84(10):104708, 2015.
[WC67] R. H. Walden and R. F. Cotellessa. Magnetoresistance of Nickel-Copper Single-Crystal Thin Films. Journal of Applied Physics, 38(3):1335, 1967.
[TYY+12] A. Tonomura, X. Yu, K. Yanagisawa, T. Matsuda, Y. Onose, N. Kanazawa, H. S. Park, and Y. Tokura. Real-Space Observation of Skyrmion Lattice in Helimagnet MnSi Thin Samples. Nano Letters, 12(3):1673, 2012.
[HC12] S. X. Huang and C. L. Chien. Extended Skyrmion Phase in Epitaxial FeGe(111) Thin Films. Physical Review Letters, 108(26):267201, 2012.
Measles is an extremely contagious vaccine-preventable disease responsible
for more than 90000 deaths worldwide annually. The number of deaths has
declined from 8 million in the pre-vaccination era to few thousands every year due
to the highly efficacious vaccine. However, this effective vaccine is still unreachable
in many developing countries due to lack of infrastructure, while in developed
countries too many people refuse vaccination. Specific antiviral compounds are not
yet available. In the current situation, only an extensive vaccination approach
along with effective antivirals could help to have a measles-free future. To develop
an effective antiviral, detailed knowledge of viral-host interaction is required.
This study was undertaken to understand the interaction between MV and
the innate host restriction factor APOBEC3G (A3G), which is well-known for its
activity against human immunodeficiency virus (HIV). Restriction of MV
replication was not attributed to the cytidine deaminase function of A3G, instead,
we identified a novel role of A3G in regulating cellular gene functions. Among two
of the A3G regulated host factors, we found that REDD1 reduced MV replication,
whereas, KDELR2 hampered MV haemagglutinin (H) surface transport thereby
affecting viral release. REDD1, a negative regulator of mTORC1 signalling
impaired MV replication by inhibiting mTORC1. A3G regulated REDD1
expression was demonstrated to inversely correlate with MV replication. siRNA
mediated silencing of A3G in primary human blood lymphocytes (PBL) reduced
REDD1 levels and simultaneously increased MV titres. Also, direct depletion of
REDD1 improved MV replication in PBL, indicating its role in A3G mediated
restriction of MV. Based on these finding, a new role of rapamycin, a
pharmacological inhibitor of mTORC1, was uncovered in successfully diminishing
MV replication in Vero as well as in human PBL. The ER and Golgi resident
receptor KDELR2 indirectly affected MV by competing with MV-H for cellular
chaperones. Due to the sequestering of chaperones by KDELR2, they can no longer
assist in MV-H folding and subsequent surface expression. Taken together, the two
A3G-regulated host factors REDD1 and KDELR2 are mainly responsible for
mediating its antiviral activity against MV.
Characterization of novel rhodopsins with light-regulated cGMP production or cGMP degradation
(2019)
Photoreceptors are widely occurring in almost all kingdoms of life. They mediate the first step in sensing electromagnetic radiation of different wavelength. Absorption spectra are found within the strongest radiation from the sun and absorption usually triggers downstream signaling pathways. Until now, mainly 6 classes of representative photoreceptors are known: five water-soluble proteins, of these three classes of blue light-sensitive proteins including LOV (light-oxygen-voltage), BLUF (blue-light using FAD), and cryptochrome modules with flavin (vitamin B-related) nucleotides as chromophore; while two classes of yellow and red light-sensitive proteins consist of xanthopsin and phytochrome, respectively. Lastly, as uniquely integral membrane proteins, the class of rhodopsins can usually sense over a wide absorption spectrum, ranging from ultra-violet to green and even red light. Rhodopsins can be further divided into two types, i.e., microbial (type I) and animal (type II) rhodopsins. Rhodopsins consist of the protein opsin and the covalently bound chromophore retinal (vitamin A aldehyde). In this thesis, I focus on identification and characterization of novel type I opsins with guanylyl cyclase activity from green algae and a phosphodiesterase opsin from the protist Salpingoeca rosetta.
Until 2014, all known type I and II rhodopsins showed a typical structure with seven transmembrane helices (7TM), an extracellular N-terminus and a cytosolic C-terminus. The proven function of the experimentally characterized type I rhodopsins was membrane transport of ions or the coupling to a transducer which enables phototaxis via a signaling chain. A completely new class of type I rhodopsins with enzymatic activity was identified in 2014. A light-activated guanylyl cyclase opsin was discovered in the fungus Blastocladiella emersonii which was named Cyclop (Cyclase opsin) by Gao et al. (2015), after heterologous expression and rigorous in-vitro characterization. BeCyclop is the first opsin for which an 8 transmembrane helices (8TM) structure was demonstrated by Gao et al. (2015). Earlier (2004), a novel class of enzymatic rhodopsins was predicted to exist in C. reinhardtii by expressed sequence tag (EST) and genome data, however, no functional data were provided up to now. The hypothetical rhodopsin included an N-terminal opsin domain, a fused two-component system with histidinekinase and response regulator domain, and a C-terminal guanylyl cyclase (GC) domain. This suggested that there could be a biochemical signaling cascade, integrating light-induction and ATP-dependent phosphate transfer, and as output the light-sensitive cGMP production.
One of my projects focused on characterizing two such opsins from the green algae Chlamydomonas reinhardtii and Volvox carteri which we then named 2c-Cyclop (two-component Cyclase opsin), Cr2c-Cyclop and Vc2c-Cyclop, respectively. My results show that both 2c-Cyclops are light-inhibited GCs. Interestingly, Cr2c-Cyclop and Vc2c-Cyclop are very sensitive to light and ATP-dependent, whereby the action spectra of Cr2c-Cyclop and Vc2c-Cyclop peak at ~540 nm and ~560 nm, respectively. More importantly, guanylyl cyclase activity is dependent on continuous phosphate transfer between histidine kinase and response regulator. However, green light can dramatically block phosphoryl group transfer and inhibit cyclase activity. Accordingly, mutation of the retinal-binding lysine in the opsin domain resulted in GC activity and lacking light-inhibition.
A novel rhodopsin phosphodiesterase from the protist Salpingoeca rosetta (SrRhoPDE) was discovered in 2017. However, the previous two studies of 2017 claimed a very weak or absent light-regulation. Here I give strong evidence for light-regulation by studying the activity of SrRhoPDE, expressed in Xenopus laevis oocytes, in-vitro at different cGMP concentrations. Surprisingly, hydrolysis of cGMP shows a ~100-fold higher turnover than that of cAMP. Light can enhance substrate affinity by decreasing the Km value for cGMP from 80 μM to 13 μM, but increases the maximum turnover only by ~30%. In addition, two key single mutants, SrRhoPDE K296A or K296M, can abolish the light-activation effect by interrupting a covalent bond of Schiff base type to the chromophore retinal. I also demonstrate that SrRhoPDE shows cytosolic N- and C- termini, most likely via an 8-TM structure. In the future, SrRhoPDE can be a potentially useful optogenetic tool for light-regulation of cGMP concentration, possibly after further improvements by genetic engineering.
The present dissertation includes three research papers dealing with the following banking topics: (dis-) incentives and risk taking, earnings management and the regulation of supervisory boards.
„Do cooperative banks suffer from moral hazard behaviour? Evidence in the context of efficiency and risk“:
We use Granger-causality techniques to evaluate the intertemporal relationships among risk, efficiency and capital. We use two different measures of bank efficiency, i.e., cost and profit efficiency, since these measures reflect different managerial abilities. One is the ability to manage costs, and the other is the ability to maximize profits. We find that lower cost and profit efficiency Granger-cause increases in liquidity risk. We also identify that credit risk negatively Granger-causes cost and profit efficiency. Most importantly, our results show a positive relationship between capital and credit risk, thus displaying that moral hazard (due to limited liability and deposit insurance) does not apply to our sample of cooperative banks. On the contrary, we find evidence that banks with low capital are able to improve their loan quality in subsequent periods. These findings may be important to regulators, who should consider banks’ business models when introducing new regulatory capital constraints.
„Earnings Management Modelling in the Banking Industry – Evaluating valuable approaches“:
Accounting research has separately studied the field of Earnings Management (EM) for non-financial and financial industries. Since EM cannot be observed directly, it is important for every research question in any setting to find a verifiable proxy for EM. However, we still lack a thorough understanding of what regressors can add value to the estimation process of EM in banks. This study tries to close this gap and analyses existing model specifications of discretionary loan loss provisions (LLP) in the banking sector to identify common pattern groups and specific patterns used. Thereupon, we use an US-dataset from 2005-2015 and apply prevalent test procedures to examine the extent of measurement errors, extreme performance and omitted-variable biases and predictive power of the discretionary proxies of each of the models. Our results indicate that a thorough understanding about the methodological modelling process of EM in the banking industry is important. The currently established models to estimate EM are appropriate yet optimizable. In particular, we identify non-performing asset patterns as the most important group, while loan loss allowances and net charge offs can add some value, though do not seem to be indispensable. In addition, our results show that non-linearity of certain regressors can be an issue, which should be addressed in future research, while we identify some omitted and possibly correlated variables that might add value to specifications in identifying non-discretionary LLP. Results also indicate that a dynamic model and endogeneity robust estimation approach is not necessarily linked to better prediction power.
„Board Regulation and its Impact on Composition and Effects – Evidence from German Cooperative Bank“:
This study employs a system GMM framework to examine the impact of potential regulatory intervention regarding the occupations of supervisory board members in cooperative banks. To achieve insights the study proceeds in two different ways. First, the author investigates the changes in board structure prior and following to the German Act to Strengthen Financial Market and Insurance Supervision (FinVAG). Second, the author estimates the influence of Ph.D. degree holders and occupational concentration on bank-risk changes in consideration of the implementation of FinVAG. Therefore, the sample consists of 246 German cooperative banks from 2006-2011. Regarding bank-risk the author applies four different measures: credit-, equity-, liquidity-risk and the Z-Score, with the former three also being addressed in FinVAG. Results indicate that the implementation of FinVAG results in structural changes in board composition, especially at the expense of farmers. In addition, the implementation affects all risk-measures and relations between risk-measures and supervisory board characteristics in a risk-reducing and therefore intended way.
To disentangle the complex relationship between board characteristics and risk measures the study utilizes a two-step system GMM estimator to account for unobserved heterogeneity, and simultaneity in order to reduce endogeneity problems. The findings may be especially relevant for stakeholders, regulators, supervisors and managers.
Advanced Analytics in Operations Management and Information Systems: Methods and Applications
(2019)
The digital transformation of business and society presents enormous potentials for companies across all sectors. Fueled by massive advances in data generation, computing power, and connectivity, modern organizations have access to gigantic amounts of data. Companies seek to establish data-driven decision cultures to leverage competitive advantages in terms of efficiency and effectiveness. While most companies focus on descriptive tools such as reporting, dashboards, and advanced visualization, only a small fraction already leverages advanced analytics (i.e., predictive and prescriptive analytics) to foster data-driven decision-making today. Therefore, this thesis set out to investigate potential opportunities to leverage prescriptive analytics in four different independent parts.
As predictive models are an essential prerequisite for prescriptive analytics, the first two parts of this work focus on predictive analytics. Building on state-of-the-art machine learning techniques, we showcase the development of a predictive model in the context of capacity planning and staffing at an IT consulting company. Subsequently, we focus on predictive analytics applications in the manufacturing sector. More specifically, we present a data science toolbox providing guidelines and best practices for modeling, feature engineering, and model interpretation to manufacturing decision-makers. We showcase the application of this toolbox on a large data-set from a German manufacturing company.
Merely using the improved forecasts provided by powerful predictive models enables decision-makers to generate additional business value in some situations. However, many complex tasks require elaborate operational planning procedures. Here, transforming additional information into valuable actions requires new planning algorithms. Therefore, the latter two parts of this thesis focus on prescriptive analytics. To this end, we analyze how prescriptive analytics can be utilized to determine policies for an optimal searcher path problem based on predictive models. While rapid advances in artificial intelligence research boost the predictive power of machine learning models, a model uncertainty remains in most settings. The last part of this work proposes a prescriptive approach that accounts for the fact that predictions are imperfect and that the arising uncertainty needs to be considered. More specifically, it presents a data-driven approach to sales-force scheduling. Based on a large data set, a model to predictive the benefit of additional sales effort is trained. Subsequently, the predictions, as well as the prediction quality, are embedded into the underlying team orienteering problem to determine optimized schedules.
In 2006, 0.18 Mio pediatric nuclear medicine diagnostic exams were performed worldwide. However, for most of the radiopharmaceuticals used data on biokinetics and, as a consequence on dosimetry, are missing or have not been made publicly available. Therefore, most of the dosimetry assessments presented today for diagnostic agents in children and adolescents rely on the biokinetics data of adults. Even for one of the most common nuclear medicine exams for this patient group, renal scintigraphy with 99mTc-MAG3 for assessing renal function measured data on biokinetics is available only from a study performed on four children of different ages. In particular, renal scans are among the most frequent exams performed on infants and toddlers. Due to the young age, this patient group can be classified as a risk group with a higher probability of developing stochastic radiation effects compared to adults. As there are only limited data on biokinetics and dosimetry in this patient group, the aim of this study is to reassess the dosimetry and the associated radiation risk for a larger number of infants undergoing 99mTc-MAG3 renal scans based on a retrospective analysis of existing patient data.
Data were collected retrospectively from 34 patients younger than 20 months with normal (20 patients) and abnormal renal function (14 patients) undergoing 99mTc-MAG3 scans. The patient-specific organ activity was estimated based on a retrospective calibration which was performed based on a set of two 3D-printed infant kidneys (newborns: 8.6 ml; 1-year-old: 23.4 ml) filled with known activities. Both phantoms were scanned at different positions along the anteroposterior axis inside a water phantom, providing depth- and size-dependent attenuation correction factors for planar imaging. Time-activity curves were determined by drawing kidney, bladder, and whole body regions-of-interest for each patient, and subsequently applying the calibration factor for conversion of counts to activity. Patient-specific time-integrated activity coefficients were obtained by integrating the organ-specific time-activity curves. Absorbed and effective dose coefficients for each patient were assessed with OLINDA/EXM for the provided newborn and 1-year-old phantom. Based on absorbed dose values, the radiation risk estimation was performed individually for each of the 34 patients with the National Cancer Institute’s Radiation Risk Assessment Tool.
The patients’ organ-specific mean absorbed dose coefficients for the patients with normal renal function were 0.04±0.03 mGy/MBq for the kidneys and 0.27±0.24 mGy/MBq for the bladder. This resulted in a mean effective dose coefficient of 0.02±0.02 mSv/MBq. Based on the dosimetry results, the evaluation of the excess lifetime risk (ELR) for the development of radiation-induced cancer showed that the group of newborns has an ELR of 16.8 per 100,000 persons, which is higher in comparison with the 1-year-old group with an ELR of 14.7 per 100,000 persons. With regard to the 14 patients with abnormal renal function, the mean values for the organ absorbed dose coefficients for the patients were: 0.40±0.34 mGy/MBq for the kidneys and 0.46±0.37 mGy/MBq for the bladder. The corresponding effective dose coefficients (mSv/MBq) was: 0.05±0.02 mSv/MBq. The mean ELR (per 100,000 persons) for developing cancer from radiation exposure for patients with abnormal renal function was 29.2±18.7 per 100,000 persons.
As a result, the radiation-associated stochastic risk increases with the organ doses, taking age- and gender-specific influences into account. Overall, the lifetime radiation risk associated with the 99mTc-MAG3 scans is very low in comparison to the general population risk for developing cancer.
Furthermore, due to the increasing demand for PET-scans in children and adolescents with 68Ga-labelled peptides, in this work published data sets for those compounds were analyzed to derive recommendations for the administered activities in children and adolescents. The recommendation for the activities to be administered were based on the weight-independent effective dose model, proposed by the EANM Pediatric Dosage Card for application in pediatric nuclear medicine. The aim was to derive recommendations on administered activities for obtaining age-independent effective doses. Consequently, the corresponding weight-dependent effective dose coefficients were rescaled according to the formalism of the EANM dosage card, to determine the radiopharmaceutical class of 68Ga-labeled peptides (“multiples”), and to calculate the baseline activities based on the biokinetics of these compounds and an upper limit of the administered activity of 185 MBq for an adult. Analogous to 18F-fluoride, a minimum activity of 14 MBq is recommended. As a result, for those pediatric nuclear medicine applications involving 68Ga-labeled peptides, new values for the EANM dosage card were proposed and implemented based on the results derived in this work.
Overall, despite the low additional radiation-related cancer risk, all efforts should be undertaken to optimize administered activities in children and adolescents for obtaining sufficient diagnostic information with minimal associated radiation risk.
Adipocytes are specialized cells found in vertebrates to ensure survival in terms of adaption to food deficit and abundance. However, their dysfunction accounts for the pathophysiology of metabolic diseases such as T2DM. Preliminary data generated by Mona Löffler suggested that PKD1 is involved in adipocyte function. Here, I show that PKD1 expression and activity is linked to lipid metabolism of murine adipocytes. PKD1 gene expression and activity was reduced in murine white adipose tissue upon fasting, a physiological condition which induces lipolysis. Isoproterenol-stimulated lipolysis in adipose tissue and 3T3-L1 adipocytes reduced PKD1 gene expression. Silencing ATGL in adipocytes inhibited isoproterenol-stimulated lipolysis, however, the β-adrenergic
stimulation of ATGL-silenced adipocytes lowered PKD1 expression levels as well. Adipose tissue of obese mice exhibited high PKD1 RNA levels but paradoxically lower protein levels of phosphorylated PKD1-Ser916. However, HFD generated a second
PKD1 protein product of low molecular weight in mouse adipose tissue. Furthermore, constitutively active PKD1 predominantly displayed nuclear localization in 3T3-L1 adipocytes containing many fat vacuoles. However, adipocytes
overexpressing non-functional PKD1 contained fewer lipid droplets and PKD1-KD was distributed in cytoplasm. Most importantly, deficiency of PKD1 in mouse adipose tissue caused expression of genes involved in adaptive thermogenesis such as UCP-1 and thus generated brown-like phenotype adipocytes. Thus, PKD1 is implicated in adipose tissue function and presents an interesting target for therapeutic approaches in the prevention of obesity and associated diseases.
The evolutionary conserved Myb-MuvB (MMB) multiprotein complex is a transcriptional master regulator of mitotic gene expression. The MMB subunits B-MYB, FOXM1 as well as target genes of MMB are often overexpressed in different cancer types. Elevated expression of these genes correlates with an advanced tumor state and a poor prognosis for patients. Furthermore, it has been reported that pathways, which are involved in regulating the mitotic machinery are attractive for a potential treatment of cancers harbouring Ras mutations (Luo et al., 2009).
This suggest that the MMB complex could be required for tumorigenesis by mediating overactivity of mitotic genes and that the MMB could be a useful target for lung cancer treatment. However, although MMB has been characterized biochemically, the contribution of MMB to tumorigenesis is largely unknown in particular in vivo.
In this thesis, it was demonstrated that the MMB complex is required for lung tumorigenesis in vivo in a mouse model of non small cell lung cancer. Elevated levels of B-MYB, NUSAP1 or CENPF in advanced tumors as opposed to low levels of these proteins levels in grade 1 or 2 tumors support the possible contribution of MMB to lung tumorigenesis and the oncogenic potential of B-MYB.The tumor growth promoting function of B-MYB was illustrated by a lower fraction of KI-67 positive cells in vivo and a significantly high impairment in proliferation after loss of B-Myb in vitro. Defects in cytokinesis and an abnormal cell cycle profile after loss of B-Myb underscore the impact of B-MYB on proliferation of lung cancer cell lines. The incomplete recombination of B-Myb in murine lung tumors and in the tumor derived primary cell lines illustrates the selection pressure against the complete loss of B-Myb and further demonstrats that B-Myb is a tumor-essential gene. In the last part of this thesis, the contribution of MMB to the proliferation of human lung cancer cells was demonstrated by the RNAi-mediated depletion of B-Myb. Detection of elevated B-MYB levels in human adenocarcinoma and a reduced proliferation, cytokinesis defects and abnormal cell cycle profile after loss of B-MYB in human lung cancer cell lines underlines the potential of B-MYB to serve as a clinical marker.
Mammalian haloacid dehalogenase (HAD)-type phosphatases are a large and ubiquitous family of at least 40 human members. Many of them have important physiological functions, such as the regulation of intermediary metabolism and the modulation of enzyme activities, yet they are also linked to diseases such as cardiovascular or metabolic disorders and cancer.
Still, most of the mammalian HAD phosphatases remain functionally uncharacterized.
This thesis reveals novel cell biological and physiological functions of the phosphoglycolate phosphatase PGP, also referred to as AUM. To this end, PGP was functionally characterized by performing analyses using purified recombinant proteins to investigate potential protein substrates of PGP, cell biological studies using the spermatogonial cell line GC1, primary mouse lung endothelial cells and lymphocytes, and a range of biochemical techniques to characterize Pgp-deficient mouse embryos.
To characterize the cell biological functions of PGP, its role downstream of RTK- and integrin signaling in the regulation of cell migration was investigated. It was shown that PGP inactivation elevates integrin- and RTK-induced circular dorsal ruffle (CDR) formation, cell spreading and cell migration. Furthermore, PGP was identified as a negative regulator of directed lymphocyte migration upon integrin- and GPCR activation.
The underlying mechanisms were analyzed further. It was demonstrated that PGP regulates CDR formation and cell migration in a PLC- and PKC-dependent manner, and that Src family kinase activities are required for the observed cellular effects. Upon integrin- and RTK activation, phosphorylation levels of tyrosine residues 1068 and 1173 of the EGF receptor were elevated and PLCγ1 was hyper-activated in PGP-deficient cells. Additionally, PGP-inactivated lymphocytes displayed elevated PKC activity, and PKC-mediated cytoskeletal remodeling was accelerated upon loss of PGP activity. Untargeted lipidomic analyses revealed that the membrane lipid phosphatidylserine (PS) was highly upregulated in PGP-depleted cells.
These data are consistent with the hypothesis that the accumulation of PS in the plasma membrane leads to a pre-assembly of signaling molecules such as PLCγ1 or PKCs that couple the activation of integrins, EGF receptors and GPCRs to accelerated cytoskeletal remodeling.
Thus, this thesis shows that PGP can affect cell spreading and cell migration by acting as a PG-directed phosphatase.
To understand the physiological functions of PGP, conditionally PGP-inactivated mice were analyzed. Whole-body PGP inactivation led to an intrauterine growth defect with developmental delay after E8.5, resulting in a gradual deterioration and death of PgpDN/DN embryos between E9.5 and E11.5. However, embryonic lethality upon whole-body PGP inactivation was not caused by a primary defect of the (cardio-) vascular system. Rather, PGP inactivated embryos died during the intrauterine transition from hypoxic to normoxic conditions.
Therefore, the potential impact of oxygen on PGP-dependent cell proliferation was investigated. Analyses of mouse embryonic fibroblasts (MEFs) generated from E8.5 embryos and GC1 cells cultured under normoxic and hypoxic conditions revealed that normoxia (~20% O2) causes a proliferation defect in PGP-inactivated cells, which can be rescued under
hypoxic (~1% O2) conditions. Mechanistically, it was found that the activity of triosephosphate isomerase (TPI), an enzyme previously described to be inhibited by phosphoglycolate (PG) in vitro, was attenuated in PGP-inactivated cells and embryos. TPI constitutes a critical branch point between carbohydrate- and lipid metabolism because it catalyzes the isomerization of the glycolytic intermediates dihydroxyacetone phosphate (DHAP, a precursor of the glycerol backbone required for triglyceride biosynthesis) and glyceraldehyde 3’-phosphate (GADP).
Attenuation of TPI activity, likely explains the observed elevation of glycerol 3-phosphate levels and the increased TG biosynthesis (lipogenesis). Analyses of ATP levels and oxygen consumption rates (OCR) showed that mitochondrial respiration rates and ATP production were elevated in PGP-deficient cells in a lipolysis-dependent manner. However under hypoxic conditions (which corrected the impaired proliferation of PGP-inactivated cells), OCR and ATP production was indistinguishable between PGP-deficient and PGP-proficient cells. We therefore propose that the inhibition of TPI activity by PG accumulation due to loss of PGP activity shifts cellular bioenergetics from a pro-proliferative, glycolytic metabolism to a lipogenetic/lipolytic metabolism.
Taken together, PGP acts as a metabolic phosphatase involved in the regulation of cell migration, cell proliferation and cellular bioenergetics. This thesis constitutes the basis for further studies of the interfaces between these processes, and also suggests functions of PGP for glucose and lipid metabolism in the adult organism.
The indepth metabolic profiling of the crude extracts of two African Ancistrocladus species viz. A. likoko from Central Africa and A. abbreviatus from West Africa, resulted in a total of 87 alkaloids among them 54 new ones. All of the compounds were intensely elucidated by 1D and 2D NMR, HRESIMS, as well as chemical and chiroptical techniques.
Among the newly discovered compounds are quinoid naphthylisoquinolines with an ortho-diketone in the naphthalene portion, nor-naphthylisoquinoline alkaloid lacking the always present methyl group at C-1, seco-(ring cleaved) naphthylisoquinolines, and a newly discovered class of natural products called the naphthylisoindolinones.
Some of the compounds displayed strong antitumoral activities against human pancreatic cancer cells and leukemia cells in-vitro.
The aim of the work was the development of thiol-ene cross-linked hydrogels based on functionalized poly(glycidol)s (PG) and hyaluronic acid (HA) for extrusion based 3D bioprinting. Additionally, the functionalization of the synthesized PG with peptides and the suitability of these polymers for physically cross-linked gels were investigated, in a proof of principle study in order to demonstrate the versatile use of PG polymers in hydrogel development.
First, the precursor polymers of the different hydrogel systems were synthesized. For thiol-ene cross-linked hydogels, linear allyl-functionalized PG (P(AGE-co-G)) and three different thiol-(SH-)functionalized polymers, ester-containing PG-SH (PG SHec), ester-free PG-SH (PG-SHef) and HA-SH were synthesized and analysed, The degree of functionalization of these polymers was adjustable.
For physically cross-linked hydrogels, peptide-functionalized PG (P(peptide-co-G)), was synthesized through polymer analogue thiol-ene modification of P(AGE-co-G).
Subsequently, thiol-ene cross-linked hydrogels were prepared with the synthesized thiol- and allyl-functionalized polymers. Depending on the origin of the used polymers, two different systems were obtained: on the one hand synthetic hydrogels consisting of PG-SHec/ef and P(AGE-co-G) and on the other hand hybrid gels, consisting of HA-SH and P(AGE-co-G). In synthetic gels, the degradability of the gels was determined by the applied PG-SH. The use of PG-SHec resulted in hydrolytically degradable hydrogels, whereas the cross-linking with PG-SHef resulted in non-degradable gels.
The physical properties of these different hydrogel systems were determined by swelling, mechanical and diffusion studies and subsequently compared among each other. In swelling studies the differences of degradable and non-degradable synthetic hydrogels as well as the differences of synthetic compared to hybrid hydrogels were demonstrated.
Next, the stiffness and the swelling ratios (SR) of the established hydrogel systems were examined in dependency of different parameters, such as incubation time, polymer concentration and UV irradiation. In general, these measurements revealed the same trends for synthetic and hybrid hydrogels: an increased polymer concentration as well as prolonged UV irradiation led to an increased network density. Moreover, it was demonstrated that the incorporation of additional non-bound HMW HA hampered the hydrogel cross-linking resulting in gels with decreased stiffness and increased SR. This effect was strongly dependent on the amount of additional HMW HA.
The diffusion of different molecular weight fluorescein isothiocyanate-dextran (FITC-dextran) through hybrid hydrogels (with/without HMW HA) gave information about the mesh size of these gels. The smallest FITC-dextran (4 kDa) completely diffused through both hydrogel systems within the first week, whereas only 55 % of 40 kDa and 5-10 % HMW FITC-dextrans (500 kDa and 2 MDa) could diffuse through the networks.
The applicability of synthetic and hybrid hydrogels for cartilage regeneration purpose was investigated through by biological examinations. It was proven that both gels support the survival of embedded human mesenchymal stromal cells (hMSCs) (21/28 d in vitro culture), however, the chondrogenic differentiation was significantly improved in hybrid hydrogels compared to synthetic gels. The addition of non-bound HMW HA resulted in a slightly less distinct chondrogenesis.
Lastly the printability of the established hydrogel systems was examined. Therefore, the viscoelastic properties of the hydrogel solutions were adjusted by incorporation of non-bound HMW HA. Both systems could be successfully printed with high resolution and high shape fidelity.
The introduction of the double printing approach with reinforcing PCL allowed printing of hydrogel solutions with lower viscosities. As a consequence, the amount of additional HMW HA necessary for printing could be reduced allowing successful printing of hybrid hydrogel solutions with embedded cells. It was demonstrated that the integrated cells survived the printing process with high viability measured after 21 d. Moreover, by this reinforcing technique, robust hydrogel-containing constructs were fabricated.
In addition to thiol-ene cross-linked hydrogels, hydrogel cross-linking via ionic interactions was investigated with a hybrid hydrogel based on HMW HA and peptide-functionalized PG. Rheological measurements revealed an increase in the viscosity of a 2 wt.% HMW HA solution by the addition of peptide-functionalized PG. The increase in viscosity could be attributed to the ionic interactions between the positively charge PG and the negatively charge HMW HA.
In conclusion, throughout this thesis thiol-ene chemistry and PG were introduced as promising cross-linking reaction and polymer precursor for the field of biofabrication. Furthermore, the differences of hybrid and synthetic hydrogels as well as chemically and physically cross-linked hydrogels were demonstrated.
Moreover, the double printing approach was demonstrated to be a promising tool for the fabrication of robust hydrogel-containing constructs. It opens the possibility of printing hydrogels that were not printable yet, due to too low viscosities.
The culture of human induced pluripotent stem cells (hiPSCs) at large-scale becomes feasible with the aid of scalable suspension setups in continuously stirred tank reactors (CSTRs). Suspension cul- tures of hiPSCs are characterized by the self-aggregation of single cells into macroscopic cell aggre- gates that increase in size over time. The development of these free-floating aggregates is dependent on the culture vessel and thus represents a novel process parameter that is of particular interest for hiPSC suspension culture scaling. Further, aggregates surpassing a critical size are prone to spon- taneous differentiation or cell viability loss. In this regard, and, for the first time, a hiPSC-specific suspension culture unit was developed that utilizes in situ microscope imaging to monitor and to characterize hiPSC aggregation in one specific CSTR setup to a statistically significant degree while omitting the need for error-prone and time-intensive sampling. For this purpose, a small-scale CSTR system was designed and fabricated by fused deposition modeling (FDM) using an in-house 3D- printer. To provide a suitable cell culture environment for the CSTR system and in situ microscope, a custom-built incubator was constructed to accommodate all culture vessels and process control devices. Prior to manufacture, the CSTR design was characterized in silico for standard engineering parameters such as the specific power input, mixing time, and shear stress using computational fluid dynamics (CFD) simulations. The established computational model was successfully validated by comparing CFD-derived mixing time data to manual measurements. Proof for system functionality was provided in the context of long-term expansion (4 passages) of hiPSCs. Thereby, hiPSC aggregate size development was successfully tracked by in situ imaging of CSTR suspensions and subsequent automated image processing. Further, the suitability of the developed hiPSC culture unit was proven by demonstrating the preservation of CSTR-cultured hiPSC pluripotency on RNA level by qRT-PCR and PluriTest, and on protein level by flow cytometry.
This dissertation deals with composite-based methods for structural equation models with latent variables and their enhancement. It comprises five chapters. Besides a brief introduction in the first chapter, the remaining chapters consisting of four essays cover the results of my PhD studies.Two of the essays have already been published in an international journal.
The first essay considers an alternative way of construct modeling in structural equation modeling.While in social and behavioral sciences theoretical constructs are typically modeled as common factors, in other sciences the common factor model is an inadequate way construct modeling due to its assumptions. This essay introduces the confirmatory composite analysis (CCA) analogous to confirmatory factor analysis (CFA). In contrast to CFA, CCA models theoretical constructs as composites instead of common factors. Besides the theoretical presentation of CCA and its assumptions, a Monte Carlo simulation is conducted which demonstrates that misspecifications of the composite model can be detected by the introduced test for overall model fit.
The second essay rises the question of how parameter differences can be assessed in the framework of partial least squares path modeling. Since the standard errors of the estimated parameters have no analytical closed-form, the t- and F-test known from regression analysis cannot be directly used to test for parameter differences. However, bootstrapping provides a solution to this problem. It can be employed to construct confidence intervals for the estimated parameter differences, which can be used for making inferences about the parameter difference in the population. To guide practitioners, guidelines were developed and demonstrated by means of empirical examples.
The third essay answers the question of how ordinal categorical indicators can be dealt with in partial least squares path modeling. A new consistent estimator is developed which combines the polychoric correlation and partial least squares path modeling to appropriately deal with the qualitative character of ordinal categorical indicators. The new estimator named ordinal consistent partial least squares combines consistent partial least squares with ordinal partial least squares. Besides its derivation, a Monte Carlo simulation is conducted which shows that the new estimator performs well in finite samples. Moreover, for illustration, an empirical example is estimated by ordinal consistent partial least squares.
The last essay introduces a new consistent estimator for polynomial factor models.
Similarly to consistent partial least squares, weights are determined to build stand-ins for the latent variables, however a non-iterative approach is used.
A Monte Carlo simulation shows that the new estimator behaves well in finite samples.
All living organisms need timekeeping mechanisms to track and anticipate cyclic changes in their environment. The ability to prepare for and respond to daily and seasonal changes is endowed by circadian clocks. The systemic features and molecular mechanisms that drive circadian rhythmicity are highly conserved across kingdoms. Therefore, Drosophila melanogaster with its relatively small brain (ca. 135.000 neurons) and the outstanding genetic tools that are available, is a perfect model to investigate the properties and relevance of the circadian system in a complex, but yet comprehensible organism.
The last 50 years of chronobiological research in the fruit fly resulted in a deep understanding of the molecular machinery that drives circadian rhythmicity, and various histological studies revealed the neural substrate of the circadian system. However, a detailed neuroanatomical and physiological description on the single-cell level has still to be acquired. Thus, I employed a multicolor labeling approach to characterize the clock network of Drosophila melanogaster with single-cell resolution and additionally investigated the putative in- and output sites of selected neurons.
To further study the functional hierarchy within the clock network and to monitor the “ticking clock“ over the course of several circadian cycles, I established a method, which allows us to follow the accumulation and degradation of the core clock genes in living brain explants by the means of bioluminescence imaging of single-cells.
In the past few years, two-dimensional quantum liquids with fractional excitations have been a topic of high interest due to their possible application in the emerging field of quantum computation and cryptography. This thesis is devoted to a deeper understanding of known and new fractional quantum Hall states and their stabilization in local models. We pursue two different paths, namely chiral spin liquids and fractionally quantized, topological phases.
The chiral spin liquid is one of the few examples of spin liquids with fractional statistics. Despite its numerous promising properties, the microscopic models for this state proposed so far are all based on non-local interactions, making the experimental realization challenging. In the first part of this thesis, we present the first local parent Hamiltonians, for which the Abelian and non-Abelian chiral spin liquids are the exact and, modulo a topological degeneracy, unique ground states. We have developed a systematic approach to find an annihilation operator of the chiral spin liquid and construct from it a many-body interaction which establishes locality. For various system sizes and lattice geometries, we numerically find largely gapped eigenspectra and confirm to an accuracy of machine precision the uniqueness of the chiral spin liquid as ground state of the respective system. Our results provide an exact spin model in which fractional quantization can be studied.
Topological insulators are one of the most actively studied topics in current condensed matter physics research. With the discovery of the topological insulator, one question emerged: Is there an interaction-driven set of fractionalized phases with time reversal symmetry? One intuitive approach to the theoretical construction of such a fractional topological insulator is to take the direct product of a fractional quantum Hall state and its time reversal conjugate. However, such states are well studied conceptually and do not lead to new physics, as the idea of taking a state and its mirror image together without any entanglement between the states has been well understood in the context of topological insulators. Therefore, the community has been looking for ways to implement some topological interlocking between different spin species. Yet, for all practical purposes so far, time reversal symmetry has appeared to limit the set of possible fractional states to those with no interlocking between the two spin species.
In the second part of this thesis, we propose a new universality class of fractionally quantized, topologically ordered insulators, which we name “fractional insulator”. Inspired by the fractional quantum Hall effect, spin liquids, and fractional Chern insulators, we develop a wave function approach to a new class of topological order in a two-dimensional crystal of spin-orbit coupled electrons. The idea is simply to allow the topological order to violate time reversal symmetry, while all locally observable quantities remain time reversal invariant. We refer to this situation as “topological time reversal symmetry breaking”. Our state is based on the Halperin double layer states and can be viewed as a two-layer system of an ↑-spin and a ↓-spin sphere. The construction starts off with Laughlin states for the ↑-spin and ↓-spin electrons and an interflavor term, which creates correlations between the two layers. With a careful parameter choice, we obtain a state preserving time reversal symmetry locally, and label it the “311-state”. For systems of up to six ↑-spin and six ↓-spin electrons, we manage to construct an approximate parent Hamiltonian with a physically realistic, local interaction.
Studies on the role of platelet serotonin in platelet function, hemostasis, thrombosis and stroke
(2019)
Platelet activation and aggregation are important processes in hemostasis resulting in reduction of blood loss upon vessel wall injury. However, platelet activation can lead to thrombotic events causing myocardial infarction and stroke. A more detailed understanding of the regulation of platelet activation and the subsequent formation of thrombi is essential to prevent thrombosis and ischemic stroke. Cations, platelet surface receptors, cytoskeletal rearrangements, activation of the coagulation cas-cade and intracellular signaling molecules are important in platelet activation and thrombus formation. One such important molecule is serotonin (5 hydroxytryptamin, 5 HT), an indolamine platelet agonist, biochemically derived from tryptophan. 5 HT is secreted from the enterochromaffin cells into the gastrointestinal tract (GI) and blood. Blood borne 5 HT has been proposed to regulate hemostasis by acting as a vaso-constrictor and by triggering platelet signaling through 5 HT2A receptor. Although platelets do not synthetize 5 HT, they take it up from the blood and store it in their dense granules which are secreted upon platelet activation. To identify the molecu-lar composite of the 5 HT uptake system in platelets and elucidate the role of platelet released 5-HT in thrombosis and ischemic stroke, 5 HT transporter knock out mice (5Htt / ) were analyzed in different in vitro and in vivo assays and in a model of is-chemic stroke. In 5Htt / platelets, 5 HT uptake from the blood was completely abol-ished and agonist-induced Ca2+ influx through store operated Ca2+ entry (SOCE), integrin activation, degranulation and aggregation responses to glycoprotein (GP) VI and C type lectin-like receptor 2 (CLEC 2) were reduced. These observed in vitro defects in 5Htt / platelets could be normalized by the addition of exogenous 5 HT. Moreover, reduced 5 HT levels in the plasma, an increased bleeding time and the formation of unstable thrombi were observed ex vivo under flow and in vivo in the abdominal aorta and carotid artery of 5Htt / mice. Surprisingly, in the transient middle cerebral artery occlusion model (tMCAO) of ischemic stroke 5Htt / mice showed near-ly normal infarct volumes and a neurological outcome comparable to control mice. Although secreted platelet 5 HT does not appear to play a crucial role in the devel-opment of reperfusion injury after stroke, it is essential to amplify the second phase of platelet activation through SOCE and thus plays an important role in thrombus stabilization.
To further investigate the role of cations, granules and their contents and regulation of integrin activation in the process of thrombus formation, genetically modified mice were analyzed in the different in vivo thrombosis models. Whereas Tph1 / mice (lacking the enzyme responsible for the production of 5 HT in the periphery), Trpm7KI (point mu-tation in the kinase domain of Trpm7 channel, lacking kinase activity) and Unc13d / /Nbeal2 / mice (lacking α granules and the release machinery of dense granules) showed a delayed thrombus formation in vivo, MagT1y/ mice (lacking a specific Mg2+ transporter) displayed a pro thrombotic phenotype in vivo. Trpm7fl/fl Pf4Cre (lacking the non specific Mg2+ channel) and RIAM / mice (lacking a potential linker protein in integrin “inside out” signaling) showed no alterations in thrombus formation upon injury of the vessel wall.
The thesis provides insights in reconstruction and analysis pipelines for processing of
three-dimensional cell and vessel images of megakaryopoiesis in intact murine bone.
The images were captured in a Light Sheet Fluorescence Microscope. The work
presented here is part of Collaborative Research Centre (CRC) 688 (project B07) of
the University of Würzburg, performed at the Rudolf-Virchow Center. Despite ongoing
research within the field of megakaryopoiesis, its spatio-temporal pattern of
megakaryopoiesis is largely unknown. Deeper insight to this field is highly desirable to
promote development of new therapeutic strategies for conditions related to
thrombocytopathy as well as thrombocytopenia. The current concept of
megakaryopoiesis is largely based on data from cryosectioning or in vitro studies
indicating the existence of spatial niches within the bone marrow where specific stages
of megakaryopoiesis take place. Since classic imaging of bone sections is typically
limited to selective two-dimensional views and prone to cutting artefacts, imaging of
intact murine bone is highly desired. However, this has its own challenges to meet,
particularly in image reconstruction. Here, I worked on processing pipelines to account
for irregular specimen staining or attenuation as well as the extreme heterogeneity of
megakaryocyte morphology. Specific challenges for imaging and image reconstruction
are tackled and solution strategies as well as remaining limitations are presented and
discussed. Fortunately, modern image processing and segmentation strongly benefits
from continuous advances in hardware as well as software-development. This thesis
exemplifies how a combined effort in biomedicine, computer vision, data processing
and image technology leads to deeper understanding of megakaryopoiesis. Tailored
imaging pipelines significantly helped elucidating that the large megakaryocytes are
broadly distributed throughout the bone marrow facing a surprisingly dense vessel
network. No evidence was found for spatial niches in the bone marrow, eventually
resulting in a revised model of megakaryopoiesis.
The etiology of anxiety disorders is multifactorial with contributions from both
genetic and environmental factors. Several susceptibility genes of anxiety disorders or
anxiety-related intermediate phenotypes have been identified, including the
serotonin transporter gene (5-HTT) and the neuropeptide S receptor gene (NPSR1),
which have been shown to modulate responses to distal and acute stress experiences.
For instance, gene-environment interaction (GxE) studies have provided evidence
that both 5-HTT and NPSR1 interact with environmental stress, particularly
traumatic experiences during childhood, in the moderation of anxiety traits, and
both 5-HTT and NPSR1 have been implicated in hypothalamic-pituitary-adrenal
(HPA) axis reactivity – an intermediate phenotype of mental disorders – in response
to acute stress exposure. The first part of this thesis aimed to address the interplay of
variations in both 5-HTT and NPSR1 genes and distal stress experiences, i.e.
childhood trauma, in the moderation of anxiety-related traits, extended by
investigation of the potentially protective effect of positive influences, i.e. elements of
successful coping such as general self-efficacy (GSE), on a GxE risk constellation by
introducing GSE as an indicator of coping ability (“C”) as an additional dimension in
a GxExC approach conferring – or buffering – vulnerability to anxiety. Increased
anxiety was observed in 5-HTTLPR/rs25531 LALA genotype and NSPR1 rs324981 AA
genotype carriers, respectively, with a history of childhood maltreatment but only in
the absence of a person’s ability to cope with adversity, whereas a dose-dependent
effect on anxiety traits as a function of maltreatment experiences irrespective of
coping characteristics was observed in the presence of at least one 5-HTT S/LG or
NSPR1 T allele, respectively. The second part of this thesis addressed the respective
impact of 5-HTT and NPSR1 variants on the neuroendocrine, i.e. salivary cortisol
response to acute psychosocial stress by applying the Maastricht Acute Stress Test
(MAST). A direct effect of NPSR1 – but not 5-HTT – on the modulation of acute
stress reactivity could be discerned, with carriers of the more active NPSR1 T allele
Summary
III
displaying significantly higher overall salivary cortisol levels in response to the MAST
compared to AA genotype carriers.
In summary, study 1 observed a moderating effect of GSE in interaction with
childhood maltreatment and 5-HTT and NPSR1, respectively, in an extended GxExC
model of anxiety risk, which may serve to inform targeted preventive interventions
mitigating GxE risk constellations and to improve therapeutic interventions by
strengthening coping ability as a protective mechanism to promote resilient
functioning. In study 2, a modulation of HPA axis function, considered to be an
endophenotype of stress-related mental disorders, by NPSR1 gene variation could be
discerned, suggesting neuroendocrine stress reactivity as an important potential
intermediate phenotype of anxiety given findings linking NPSR1 to dimensional and
categorical anxiety. Results from both studies may converge within the framework of
a multi-level model of anxiety risk, integrating neurobiological, neuroendocrine,
environmental, and psychological factors that act together in a highly complex
manner towards increasing or decreasing anxiety risk.
The rich phase diagram of transition metal oxides essentially roots in the many body physics arising from strong Coulomb interactions within the underlying electron system.
Understanding such electronic correlation effects remains challenging for modern solid state physics, therefore experimental data is required for further progress in the field. For this reason, spectroscopic investigations of prototypical correlated materials are the scope of this thesis. The experimental methods focus on photoelectron spectroscopy, and the test materials are the correlated metal SrVO\(_3\) and the Mott insulator LaTiO\(_3\), both of which are fabricated as high quality thin films.
In SrVO\(_3\) thin films, a reduction of the film thickness induces a dimensional crossover from the metallic into the Mott insulating phase. In this thesis, an extrinsic chemical contribution from a surface over-oxidation is revealed that emerges additionally to the intrinsic change of the effective bandwidth usually identified to drive the transition. The two contributions are successfully disentangled by applying a capping layer that prevents the oxidation, allowing for a clean view on the dimensional crossover in fully stoichiometric samples. Indeed, these stoichiometric layers exhibit a higher critical thickness for the onset of the metallic phase than the bare and therefore over-oxidized thin films.
For LaTiO\(_3\) thin films, the tendency to over-oxidize is even stronger. An uncontrolled oxygen diffusion from the substrate into the film is found to corrupt the electronic properties of LaTiO\(_3\) layers grown on SrTiO\(_3\). The Mott insulating phase is only detected in stoichiometric films fabricated on more suitable DyScO\(_3\) substrates. In turn, it is demonstrated that a \(controlled\) incorporation of excess oxygen ions by increasing the oxygen growth pressure is an effective way of \(p\) doping the material which is used to drive the band filling induced Mott transition.
Gaining control of the oxygen stoichiometry in both materials allows for a systematic investigation of correlation effects in general and of the Mott transition in particular. The investigations are realized by various photoelectron spectroscopy techniques that provide a deep insight into the electronic structure. Resonant photoemission not only gives access to the titanium and vanadium related partial density of states of the valence band features, but also shows how the corresponding signal is enhanced by tuning the photon energy to the \(L\) absorption threshold. The enhanced intensity turns out to be very helpful for probing the Fermi surface topology and band dispersions by means of angular-resolved photoemission. The resulting momentum resolved electronic structure verifies central points of the theoretical description of the Mott transition, viz. the renormalization of the band width and a constant Luttinger volume in a correlated metal as the Mott phase is approached.
In an Arrow-Debreu world of unrestricted access to perfect and competitive financial markets, there is no need for accounting information about the financial situation of a firm. Because information is costless, share- and stakeholders are then indifferent in deposits and securities (e.g., Holthausen & Watts 2001; Freixas & Rochet 2008). How-ever, several reasons exist indicating a rejection of the assumptions for an Arrow-Debreu world, hence there is no perfect costless information. Moreover, the distribu-tion of information is asymmetric, causing follow-through multi-level agency prob-lems, which are the main reasoning for the variety of financial and non-financial ac-counting standards, regulatory and advisory entities and the auditing and rating agency profession. Likewise, these agency problems have been at the heart of the accounting literature and raised the question of whether and how accounting information can help resolve these problems. ...
Errors in Prospective Memory
(2019)
Prospective memory is the ability to implement intentions at a later point in time in response to a specified cue. Such prospective memory tasks often occur in daily living and workplace situations. However, in contrast to retrospective memory there has been relatively little research on prospective memory. The studies by Harris (1984) and Einstein and MacDaniel (1990) served as a starting point for a now steadily growing area of research. Based on this emerging field of study this dissertation presents and connects and five journal articles, which further explore prospective memory by focusing on its potential errors.
The first article addresses the question if additional cognitive resources are needed after a prospective memory cue occurs to keep the intention active until it is implemented. The theory by Einstein, McDaniel, Williford, Pagan and Dismukes (2003), which suggested this active maintenance, could not be replicated. The second article demonstrated that interruptions between cue and the window of opportunity to implement the intention reduce prospective memory performance, especially if the interruption is tied with a change of context. Article three to five were focused on the erroneous implementation of a no longer active prospective memory task, so called commission errors. The suggested mechanism for their occurrence, the dual-mechanism account (Bugg, Scullin, & Rauvola, 2016), was not suited to explain the present results. A modification for the dual-mechanism account was formulated, which can account for prior work, as well as for the present data.
The results of all five articles also indicate that the moment of cue retrieval is even more relevant for prospective memory and its errors than previously accounted for.
The expression of genetic information into proteins is a key aspect of life. The efficient and exact regulation of this process is essential for the cell to produce the correct amounts of these effector molecules to a given situation. For this purpose, eukaryotic cells have developed many different levels of transcriptional and posttranscriptional gene regulation. These mechanisms themselves heavily rely on interactions of proteins with associated nucleic acids. In the case of posttranscriptional gene regulation an orchestrated interplay between RNA-binding proteins, messenger RNAs (mRNA), and non-coding RNAs is compulsory to achieve this important function.
A pivotal factor hereby are RNA secondary structures. One of the most stable and diverse representatives is the G-quadruplex structure (G4) implicated in many cellular mechanisms, such as mRNA processing and translation. In protein biosynthesis, G4s often act as obstacles but can also assist in this process. However, their presence has to be tightly regulated, a task which is often fulfilled by helicases.
One of the best characterized G4-resolving factors is the DEAH-box protein DHX36. The in vitro function of this helicase is extensively described and individual reports aimed to address diverse cellular functions as well. Nevertheless, a comprehensive and systems-wide study on the function of this specific helicase was missing, so far.
The here-presented doctoral thesis provides a detailed view on the global cellular function of DHX36. The binding sites of this helicase were defined in a transcriptome-wide manner, a consensus binding motif was deviated, and RNA targets as well as the effect this helicase exerts on them were examined. In human embryonic kidney cells, DHX36 is a mainly cytoplasmic protein preferentially binding to G-rich and G4-forming sequence motifs on more than 4,500 mRNAs. Loss of DHX36 leads to increased target mRNA levels whereas ribosome occupancy on and protein output of these transcripts are reduced. Furthermore, DHX36 knockout leads to higher RNA G4 levels and concomitant stress reactions in the cell. I hypothesize that, upon loss of this helicase, translationally-incompetent structured DHX36 target mRNAs, prone to localize in stress granules, accumulate in the cell. The cell reacts with basal stress to avoid cytotoxic effects produced by these mis-regulated and structured transcripts.
Statistical Procedures for modelling a random phenomenon heavily depend on the choice of a certain family of probability distributions. Frequently, this choice is governed by a good mathematical feasibility, but disregards that some distribution properties may contradict reality. At most, the choosen distribution may be considered as an approximation. The present thesis starts with a construction of distributions, which uses solely available information and yields distributions having greatest uncertainty in the sense of the maximum entropy principle. One of such distributions is the monotonic distribution, which is solely determined by its support and the mean. Although classical frequentist statistics provides estimation procedures which may incorporate prior information, such procedures are rarely considered. A general frequentist scheme for the construction of shortest confidence intervals for distribution parameters under prior information is presented. In particular, the scheme is used for establishing confidence intervals for the mean of the monotonic distribution and compared to classical procedures. Additionally, an approximative procedure for the upper bound of the support of the monotonic distribution is proposed. A core purpose of auditing sampling is the determination of confidence intervals for the mean of zero-inflated populations. The monotonic distribution is used for modelling such a population and is utilised for the procedure of a confidence interval under prior information for the mean. The results are compared to two-sided intervals of Stringer-type.
The skeletal system forms the mechanical structure of the body and consists of bone, which is hard connective tissue. The tasks the skeleton and bones take over are of mechanical, metabolic and synthetic nature. Lastly, bones enable the production of blood cells by housing the bone marrow. Bone has a scarless self-healing capacity to a certain degree. Injuries exceeding this capacity caused by trauma, surgical removal of infected or tumoral bone or as a result from treatment-related osteonecrosis, will not heal. Critical size bone defects that will not heal by themselves are still object of comprehensive clinical investigation. The conventional treatments often result in therapies including burdening methods as for example the harvesting of autologous bone material. The aim of this thesis was the creation of a prevascularized bone implant employing minimally invasive methods in order to minimize inconvenience for patients and surgical site morbidity. The basis for the implant was a decellularized, naturally derived vascular scaffold (BioVaSc-TERM®) providing functional vessel structures after reseeding with autologous endothelial cells. The bone compartment was built by the combination of the aforementioned scaffold with synthetic β-tricalcium phosphate. In vitro culture for tissue maturation was performed using bioreactor technology before the testing of the regenerative potential of the implant in large animal experiments in sheep. A tibia defect was treated without the anastomosis of the implant’s innate vasculature to the host’s circulatory system and in a second study, with anastomosis of the vessel system in a mandibular defect. While the non-anastomosed implant revealed a mostly osteoconductive effect, the implants that were anastomosed achieved formation of bony islands evenly distributed over the defect.
In order to prepare preconditions for a rapid approval of an implant making use of this vascularization strategy, the manufacturing of the BioVaSc-TERM® as vascularizing scaffold was adjusted to GMP requirements.
Synthetic bone replacement materials have their application in non-load bearing defects with the function of (re-)construction or substitution of bone. This tissue itself represents a biological composite material based on mineralized collagen fibrils and combines the mechanical strength of the mineral with the ductility of the organic matrix. By mimicking these outstanding properties with polymer-cement-composites, an imitation of bone is feasible. A promising approach for such replacement materials are dual setting systems, which are generated by dissolution-precipitation reaction with cement setting in parallel to polymerization and gelation of the organic phase forming a coherent hydrogel network. Hereby, the high brittleness of the pure inorganic network was shifted to a more ductile and elastic behavior.
The aim of this thesis was focused on the development of different dual setting systems to modify pure calcium phosphate cements’ (CPCs’) mechanical performance by incorporation of a hydrogel matrix.
A dual setting system based on hydroxyapatite (HA) and cross-linked 2-hydroxyethyl methacrylate (HEMA) via radical polymerization was advanced by homogenous incorporation of a degradable cross-linker composed of poly(ethylene glycol) (PEG) as well as poly(lactic acid) (PLA) with reactive terminal methacrylate functionalities (PEG-PLLA-DMA). By integration of this high molecular weight structure in the HEMA-hydrogel network, a significant increase in energy absorption (toughness) under 4-point bending testing was observed. An addition of only 10 wt% hydrogel precursor (referred to the liquid phase) resulted in a duplication of stress over a period of 8 days. Additionally, the calculated elasticity was positively affected and up to six times higher compared to pure HA. With a constantly applied force during compressive strength testing, a deformation and thus strain levels of about 10 % were reached immediately after preparation.
For higher degradability, the system was modified in a second approach regarding organic as well as inorganic phase. The latter component was changed by brushite forming cement that is resorbable in vivo due to solubility processes. This CPC was combined with a hydrogel based on PEG-PLLA-DMA and other dimethacrylated PEGs with different molecular weights and concentrations. Hereby, new reaction conditions were created including a shift to acidic conditions. On this ground, the challenge was to find a new radical initiator system. Suitable candidates were ascorbic acid and hydrogen peroxide. that started the polymerization and successful gelation in this environment. These highly flexible dual set composites showed a very high ductility with an overall low strength compared to HA-based models. After removal of the applied force during compressive strength testing, a complete shape recovery was observed for the samples containing the highest polymeric amount (50 wt%) of PEG-PLLA-DMA.
Regarding phase distribution in the constructs, a homogenously incorporated hydrogel network was demonstrated in a decalcifying study with ethylenediaminetetraacetic acid. Intact, coherent hydrogels remained after dissolution of the inorganic phase via calcium ion complexation.
In a third approach, the synthetic hydrogel matrix of the previously described system was replaced by the natural biopolymer gelatin. Simultaneously to brushite formation, physical as well as chemical cross-linking by the compound genipin was performed in the dual setting materials. Thanks to the incorporation of gelatin, elasticity increased significantly, in which concentrations up to 10.0 w/v% resulted in a certain cohesion of samples after compressive strength testing. They did not dissociate in little pieces but remained intact cuboid specimens though having cracks or fissures. Furthermore, the drug release of two active pharmaceutical ingredients (vancomycin and rifampicin) was investigated over a time frame of 5 weeks. The release exponent was determined according to Korsmeyer-Peppas with n = 0.5 which corresponds to the drug liberation model of Higuchi. A sustained release was observed for the antibiotic vancomycin encapsulated in composites with a gelatin concentration of 10.0 w/v% and a powder-to-liquid ratio of 2.5 g/mL.
With respect to these developments of different dual setting systems, three novel approaches were successfully established by polymerization of monomers and cross-linking of precursors forming an incorporated, homogenous hydrogel matrix in a calcium phosphate network. All studies showed an essential transfer of mechanical performance in direction of flexibility and bendability.
Immunotherapy with engineered T cells expressing a tumor-specific chimeric antigen receptor (CAR) is under intense preclinical and clinical investigation. This involves a rapidly increasing portfolio of novel target antigens and CAR designs that need to be tested in time- and work-intensive screening campaigns in primary T cells. Therefore, we anticipated that a standardized screening platform, similar as in pharmaceutical small molecule and antibody discovery, would facilitate the analysis of CARs by pre-selecting lead candidates from a large pool of constructs that differ in their extracellular and intracellular modules. Because CARs integrate structural elements of the T cell receptor (TCR) complex and engage TCR-associated signaling molecules upon stimulation, we reasoned that the transcription factors nuclear factor-κB (NF-κB) and nuclear factor of activated T cells (NFAT) could serve as surrogate markers for primary T cell function. The nuclear translocation of both transcription factors in primary T cells, which we observed following CAR stimulation, supported our rationale to use NF-κB and NFAT as indicators of CAR-mediated activation in a screening platform.
To enable standardized and convenient analyses, we have established a CAR-screening platform based on the human T cell lymphoma line Jurkat that has been modified to provide rapid detection of NF-κB and NFAT activation. For this purpose, Jurkat cells contained NF-κB and NFAT-inducible reporter genes that generate a duplex output of cyan fluorescent protein (CFP) and green fluorescent protein (GFP), respectively. Upon stimulation of NF-κB/NFAT reporter cells, the expression of both fluorophores could be readily quantified in high-throughput screening campaigns by flow cytometry.
We modified the reporter cells with CD19-specific and ROR1-specific CARs, and we co-cultured them with antigen-positive stimulator cells to analyze NF-κB and NFAT activation. CAR-induced reporter signals could already be detected after 6 hours. The optimal readout window with high-level reporter activation was set to 24 hours, allowing the CAR-screening platform to deliver results in a rapid turnaround time. A reporter cell-screening campaign of a spacer library with CARs comprising a short, intermediate or long IgG4-Fc domain allowed distinguishing functional from non-functional constructs. Similarly, reporter cell-based analyses identified a ROR1-CAR with 4-1BB domain from a library with different intracellular signal modules due to its ability to confer high NF-κB activation, consistent with data from in vitro and in vivo studies with primary T cells. The results of both CAR screening campaigns were highly reproducible, and the time required for completing each testing campaign was substantially shorter with reporter cells (6 days) compared to primary T cells (21 days). We further challenged the reporter cells in a large-scale screening campaign with a ROR1 CAR library comprising mutations in the VH CDR3 sequence of the R11 scFv. This region is crucial for binding the R11 epitope of ROR1, and we anticipated that mutations here would cause a loss of specificity and affinity for most of the CAR variants. This provided the opportunity to determine whether the CAR screening platform was able to retrieve functional constructs from a large pool of CAR variants. Indeed, using a customized pre enrichment and screening strategy, the reporter cells identified a functional CAR variant that was present with a frequency of only 6 in 1.05x10^6.
As our CAR-screening platform enabled the analysis of activating signal modules, it encouraged us to also evaluate inhibitory signal modules that change the CAR mode of action. Such an inhibitory CAR (iCAR) can be used in logic gates with an activating CAR to interfere with T cell stimulation. By selecting appropriate target antigens for iCAR and CAR, this novel application aims to improve the selectivity towards tumor cells, and it could readily be studied using our screening platform. Accordingly, we tested CD19-specific iCARs with inhibitory PD-1 signal module for their suppressive effect on reporter gene activation. In logic gates with CAR or TCR stimulation, a decrease of NF-κB and NFAT signals was only observed when activating and inhibitory receptors were forced into spatial proximity. These results were further verified by experiments with primary T cells.
In conclusion, our reporter cell system is attractive as a platform technology because it is independent of testing in primary T cells, exportable between laboratories, and scalable to enable small- to large-scale screening campaigns of CAR libraries. The pre-selection of appropriate lead candidates with optimal extracellular and intracellular modules can reduce the number of CAR constructs to be investigated in further in vitro and in vivo studies with primary T cells. We are therefore confident that our CAR-screening platform based on NF-κB/NFAT reporter cells will be useful to accelerate translational research by facilitating the evaluation of CARs with novel design parameters.
Social attention is a ubiquitous, but also enigmatic and sometimes elusive phenomenon.
We direct our gaze at other human beings to see what they are doing
and to guess their intentions, but we may also absorb social events en passant as
they unfold in the corner of the eye. We use our gaze as a discrete communication
channel, sometimes conveying pieces of information which would be difficult
to explicate, but we may also find ourselves avoiding eye-contact with others in
moments when self-disclosure is fear-laden. We experience our gaze as the most
genuine expression of our will, but research also suggests considerable levels of
predictability and automaticity in our gaze behavior. The phenomenon’s complexity
has hindered researchers from developing a unified framework which can
conclusively accommodate all of its aspects, or from even agreeing on the most
promising research methodologies.
The present work follows a multi-methods approach, taking on several aspects
of the phenomenon from various directions. Participants in study 1 viewed dynamic
social scenes on a computer screen. Here, low-level physical saliency (i.e.
color, contrast, or motion) and human heads both attracted gaze to a similar extent,
providing a comparison of two vastly different classes of gaze predictors in
direct juxtaposition. In study 2, participants with varying degrees of social anxiety
walked in a public train station while their eye movements were tracked. With
increasing levels of social anxiety, participants showed a relative avoidance of gaze
at near compared to distant people. When replicating the experiment in a laboratory
situation with a matched participant group, social anxiety did not modulate
gaze behavior, fueling the debate around appropriate experimental designs in the
field. Study 3 employed virtual reality (VR) to investigate social gaze in a complex
and immersive, but still highly controlled situation. In this situation, participants
exhibited a gaze behavior which may be more typical for real-life compared to laboratory situations as they avoided gaze contact with a virtual conspecific unless
she gazed at them. This study provided important insights into gaze behavior in
virtual social situations, helping to better estimate the possible benefits of this
new research approach. Throughout all three experiments, participants showed
consistent inter-individual differences in their gaze behavior. However, the present
work could not resolve if these differences are linked to psychologically meaningful
traits or if they instead have an epiphenomenal character.
A fundamental question in current biology concerns the translational mechanisms leading from genetic variability to phenotypes. Technologies have evolved to the extent that they can efficiently and economically determine an individual’s genomic composition, while at the same time big data on clinical profiles and diagnostics have substantially accumulated. Genome-wide association studies linking genomic loci to certain traits, however, remain limited in their capacity to explain the cellular mechanisms that underlie the given association. For most associations, gene expression has been blamed; yet given that transcript and protein abundance oftentimes do not correlate, that finding does not necessarily decrypt the underlying mechanism. Thus, the integration of further information is crucial to establish a model that could prove more accurate in predicting genotypic effects on the human organism.
In this work we describe the so-called proteotype as a feature of the cell that could provide a substantial link between genotype and phenotype. Rather than looking at the proteome as a set of independent molecules, we demonstrate a consistent modular architecture of the proteome that is driven by molecular cooperativity. Functional modules, especially protein complexes, can be further interrogated for differences between individuals and tackled as imprints of genetic and environmental variability. We also show that subtle stoichiometric changes of protein modules could have broader effects on the cellular system, such as the transport of specific molecular cargos.
The presented work also delineates to what extent temporal events and processes influence the stoichiometry of protein complexes and functional modules. The re-wiring of the glycolytic pathway for example is illustrated as a potential cause for an increased Warburg effect during the ageing of the human bone marrow. On top of analyzing protein abundances we also interrogate proteome dynamics in terms of stability and solubility transitions during the short temporal progression of the cell cycle. One of our main observations in the thesis encompass the delineation of protein complexes into respective sub-complexes according to distinct stability patterns during the cell cycle. This has never been demonstrated before, and is functionally relevant for our understanding of the dis- and assembly of large protein modules.
The insights presented in this work imply that the proteome is more than the sum of its parts, and primarily driven by variability in entire protein ensembles and their cooperative nature. Analyzing protein complexes and functional modules as molecular reflections of genetic and environmental variations could indeed prove to be a stepping stone in closing the gap between genotype and phenotype and customizing clinical treatments in the future.
In this thesis, the photophysics and spin chemistry of donor-photosensitizer-acceptor triads were investigated. While all investigated triads comprised a TAA as an electron donor and a NDI as an electron acceptor, the central photosensitizers (PS) were different chromophores based on the dipyrrin-motif. The purity and identity of all target compounds could be confirmed by NMR spectroscopy, mass spectrometry and elemental analysis.
The first part of the work dealt with dipyrrinato-complexes of cyclometalated heavy transition metals. The successful synthesis of novel triads based on Ir(III), Pt(II) and Pd(II) was presented. The optical and electrochemical properties indicated charge separation (CS), which was confirmed by transient absorption (TA) spectroscopy. TA-spectroscopy also revealed that the process of CS is significantly slower and less efficient for the triads based on Pt(II) and Pd(II) than for the analogous Ir(III) triads. This is mostly due to a much more convoluted reaction pathway, comprising several intermediate states before the formation of the final charge separated state (CSS2). On the other hand, CSS2 exhibits long lifetimes which are dependent on the central metal ion. While the Ir(III) triads show lifetimes of about 0.5 µs in MeCN, the Pt(II) and Pd(II) analogues show lifetimes of 1.5 µs. The magnetic field effect on the charge recombination (CR) kinetics of CSS2 was investigated by magnetic field dependent ns-TA spectroscopy and could be rationalized based on a classical kinetic scheme comprising only one magnetic field dependent rate constant k±. The behavior of k± shows a clear separation of the coherent and incoherent spin interconversion mechanisms. While the coherent spin evolution is due to the isotropic hyperfine coupling with the magnetic nuclei of the radical centers, the incoherent spin relaxation is due to a rotational modulation of the anisotropic hyperfine coupling tensor and is strongly dependent on the viscosity of the solvent. This dependence could be used to measure the nanoviscosity of the oligomeric solvent pTHF, which was found to be distinctly different from its macroviscosity.
The second part of the work dealt with bisdipyrrinato complexes and their bridged porphodimethenato (PDM) analogues. Initially, the suitability of the different chromophores for the use as PS in donor-acceptor substituted triads was tested by a systematic investigation of their steady state and transient properties. While the PDM-complex of Zn(II) and Pd(II) exhibited promising characteristics such as a high exited state lifetime and relatively intense emission, the purely organic parent PDM and the non-bridged bisdipyrrinato-Pd(II) complex were less suitable. The difference between the two Pd(II) complexes could be explained by a structural rearrangement of the non-bridged complex which results in a non-emissive metal centered triplet state with disphenoidal geometry. This rearrangement is prevented by the dimethylmethylene-bridges in the bridged analogue resulting in higher phosphorescence quantum yields and excited state lifetimes.
With the exception of the Zn(II)PDM-complex, the synthesis of novel donor acceptor substituted triads could be realized for all desired central chromophores. They were investigated equivalently to the cyclometalated triads described in the first part. The steady state properties indicate a stronger electronic coupling between the subunits due to the lack of unsaturated bridges between the donor and the central chromophore. Photoinduced CS occurs in all investigated triads. Due to the low exited state lifetimes of the central chromophores, CSS is formed less efficiently for the triads based on the unbridged Pd(II)-complex as well as the purely organic PDM. In the triad based on the bridged Pd(II) complex, the CR of CSS2 is faster than its formation resulting in low intermediate concentrations. For its elongated analogue, this is not the case and CSS2 can be observed clearly. Although the spin-chemistry of the triads based on bisdipyrrinato-Pd(II) and porphodimethenato-Pd(II) is less well understood, first interpretations of the magnetic field dependent decay kinetics gave results approximately equivalent to those obtained for the cyclometalated triads. Furthermore, the MFE was shown to be useful for the investigation of the quantum yield of CS and the identity of the observed CSSs.
In both parts of this work, the influence of the central photosensitizer on the photophysics and the spin chemistry of the triads could be shown. While the process of CS is directly dependent on the PS, the PS usually is not directly involved in the final CSSs. None the less, it can still indirectly affect the CR and spin chemistry of the CSS since it influences the electronic coupling between donor and acceptor, as well as the geometry of the triads.
Sensitivity and selectivity remain the central technical requirement for analytical devices, detectors and sensors. Especially in the gas phase, concentrations of threat substances can be very low (e.g. explosives) or have severe effects on health even at low concentrations (e.g. benzene) while it contains many potential interferents. Preconcentration, facilitated by active or passive sampling of air by an adsorbent, followed by thermal desorption, results in these substances being released in a smaller volume, effectively increasing their concentration.
Traditionally, a wide range of adsorbents, such as active carbons or porous polymers, are used for preconcentration. However, many adsorbents either show chemical reactions due to active surfaces, serious water retention or high background emission due to thermal instability. Metal-organic frameworks (MOFs) are a hybrid substance class, composed inorganic and organic building blocks, being a special case of coordination polymers containing pores. They can be tailored for specific applications such as gas storage, separation, catalysis, sensors or drug delivery.
This thesis is focused on investigating MOFs for their use in thermal preconcentration for airborne detection systems. A pre-screening method for MOF-adsorbate interactions was developed and applied, namely inverse gas chromatography (iGC). Using this pulse chromatographic method, the interaction of MOFs and molecules from the class of explosives and volatile organic compounds was studied at different temperatures and compared to thermal desorption results.
In the first part, it is shown that archetype MOFs (HKUST-1, MIL-53 and Fe-BTC) outperformed the state-of-the-art polymeric adsorbent Tenax® TA in nitromethane preconcentration for a 1000 (later 1) ppm nitromethane source. For HKUST-1, a factor of more than 2000 per g of adsorbent was achieved, about 100 times higher than for Tenax. Thereby, a nitromethane concentration of 1 ppb could be increased to 2 ppm. High enrichment is addressed to the specific interaction of the nitro group as by iGC, which was determined by comparing nitromethane’s free enthalpy of adsorption with the respective saturated alkane. Also, HKUST-1 shows a similar mode of sorption (enthalpy-entropy compensation) for nitro and saturated alkanes.
In the second part, benzene of 1 ppm of concentration was enriched with a similar setup, using 2nd generation MOFs, primarily UiO-66 and UiO-67, under dry and humid (50 %rH) conditions using constant sampling times. Not any MOF within the study did surpass the polymeric Tenax in benzene preconcentration. This is most certainly due to low sampling times – while Tenax may be highly saturated after 600 s, MOFs are not. For regular UiO-66, four differently synthesized samples showed a strongly varying behavior for dry and humid enrichment which cannot be completely explained. iGC investigations with regular alkanes and BTEX compounds revealed that confinement factors and dispersive surface energy were different for all UiO-66 samples. Using physicochemical parameters from iGC, no unified hypothesis explaining all variances could be developed.
Altogether, it was shown that MOFs can replace or add to state-of-the-art adsorbents for the enrichment of specific analytes with preconcentration being a universal sensitivity-boosting concept for detectors and sensors. Especially with iGC as a powerful screening tool, most suitable MOFs for the respective target analyte can be evaluated. iGC can be used for determining “single point” retention volumes, which translate into partition coefficients for a specific MOF × analyte × temperature combination.
GPCRs, particularly muscarinic receptors (mAChRs), are significant therapeutic targets in many physiological conditions. The significance of dualsteric hybrids selectively targeting mAChR subtypes is their great advantage in avoiding undesired side effects. This is attained by exploitation of the high affinity of ligand-binding to the orthosteric site and the structural diversity of the allosteric site to target an individual mAChR subtype, as well as offering signal bias to avoiding undesired transduction pathways. Furthermore, dualsteric targeting of mAChR subtypes helps in the elucidation of the physiological role of each individual mAChR subtype.
The first project was the attempt of synthesis of the M2-preferring ligand AFDX-384. AFDX-384 is known to preferentially bind to the M2 receptor subtype as an orthosteric antagonist, with partial interaction with residues in the allosteric site. This project aimed to re-trace the synthesis route of AFDX-384, to open the door to its upscaling and the future synthesis of AFDX-type dualsteric ligands. The multi-step synthesis of AFDX-384 is achieved through the synthesis of its 2 precursors, the chloro acyl derivative VIII and the piperidinyl derivative IV. Upscaled synthesis of the piperidinyl derivative IV was attained. Synthesis of the chloro acyl compound VIII was attempted. Several trials to synthesize the benzopyridodiazepine nucleus as well as its chloro-acylation resulted in the production of the novel crystal structures V and VI. X-ray crystallography was also done for crystallized molecules of the closed-ring benzopyridodiazepine VII that was previously synthesized. Chloro-acylation reactions of compound VII using phosgene seem to be attainable when done using reflux overnight. However, the use of methanol to aid in elution during silica gel column chromatography converted the expected product to the carbamate analogue IX. Hence, further attempts in purification should refrain from the use of methanol. The use of triphosgene instead of phosgene demonstrates a cleaner route for further upscaled synthesis.
The second project was the synthesis of dualsteric ligands involving variable orthosteric and allosteric moieties. Four different types of hybrids have been created over multiple steps. Dualsteric ligands have been synthesized using either a phthalimido- or 1,8-naphthalimidopropylamino moiety as the allosteric-binding group, coupled to either N-desmethyl pirenzepine or N-desmethyl clozapine using variable chain lengths. Furthermore, the synthesis of the dualsteric ligands involving N-desmethyl clozapine linked to either the super-agonist iperoxo or acetylcholine, and being connected using variable alkane chain lengths. Several reaction conditions have been investigated throughout the analysis of the optimal condition to conduct the critical final step of synthesis of these dualsteric hybrids, which involves the linking of the two segments of the hybrid together. The optimal method, which produced the least side products and highest yield, was to connect the two intermediates of the compound in absence of base, catalyst or microwaves while stirring at 35 °C for several days using acetonitrile as solvent (silica gel TLC monitoring, 0.2 M aqueous KNO3/MeOH 2:3). The ideal purification methods for the final compounds were found to be either crystallization from the reaction medium or using C18 reverse phase silica gel flash chromatography (using H2O/MeOH solvent system). All the hybrids will be subjected to pharmacological testing using the appropriate FRET assays.
The quest for finding a unifying theory for both quantum theory and gravity lies at the heart of much of the research in high energy physics. Although recent years have witnessed spectacular experimental confirmation of our expectations from Quantum Field Theory and General Relativity, the question of unification remains as a major open problem. In this context, the perturbative aspects of quantum black holes represent arguably the best of our knowledge of how to proceed in this pursue.
In this thesis we investigate certain aspects of quantum gravity in 2 + 1 dimensional anti-de Sitter space (AdS3), and its connection to Conformal field theories in 1 + 1 dimensions (CFT2), via the AdS/CFT correspondence.
We study the thermodynamics properties of higher spin black holes. By focusing on the spin-4 case, we show that black holes carrying higher spin charges display a rich phase diagram in the grand canonical ensemble, including phase transitions of the Hawking-Page type, first order inter-black hole transitions, and a second order critical point.
We investigate recent proposals on the connection between bulk codimension-1 volumes and computational complexity in the CFT. Using Tensor Networks we provide concrete evidence of why these bulk volumes are related to the number of gates in a quantum circuit, and exhibit their topological properties. We provide a novel formula to compute this complexity directly in terms of entanglement entropies, using techniques from Kinematic space.
We then move in a slightly different direction, and study the quantum properties of black holes via de Functional Renormalisation Group prescription coming from Asymptotic safety. We avoid the arbitrary scale setting by restricting to a narrower window in parameter space, where only Newton’s coupling and the cosmological constant are allowed to vary. By one assumption on the properties of Newton’s coupling, we find black hole solutions explicitly. We explore their thermodynamical properties, and discover that very large black holes exhibit very unusual features.
In situations of real threat, showing a fear reaction makes sense, thus, increasing the chance to survive. The question is, how could anybody differentiate between a real and an apparent threat? Here, the slogan counts “better safe than sorry”, meaning that it is better to shy away once too often from nothing than once too little from a real threat. Furthermore, in a complex environment it is adaptive to generalize from one threatening situation or stimulus to another similar situation/stimulus. But, the danger hereby is to generalize in a maladaptive manner involving as it is to strong and/or fear too often “harmless” (safety) situations/stimuli, as it is known to be a criterion of anxiety disorders (AD). Fear conditioning and fear generalization paradigms are well suited to investigate fear learning processes. It is remarkable that despite increasing interest in this topic there is only little research on fear generalization. Especially, most research on human fear conditioning and its generalization has focused on adults, whereas only little is known about these processes in children, even though AD is typically developing during childhood. To address this knowledge gap, four experiments were conducted, in which a discriminative fear conditioning and generalization paradigm was used.
In the first two experiments, developmental aspects of fear learning and generalization were of special interest. Therefore, in the first experiment 267 children and 285 adults were compared in the differential fear conditioning paradigm and generalization test. Skin conductance responses (SCRs) and ratings of valence and arousal were obtained to indicate fear learning. Both groups displayed robust and similar differential conditioning on subjective and physiological levels. However, children showed heightened fear generalization compared to adults as indexed by higher arousal ratings and SCRs to the generalization stimuli. Results indicate overgeneralization of conditioned fear as a developmental correlate of fear learning. The developmental change from a shallow to a steeper generalization gradient is likely related to the maturation of brain structures that modulate efficient discrimination between threatening and (ambiguous) safety cues. The question hereby is, at which developmental stage fear generalization gradients of children adapt to the gradients of adults. Following up on this question, in a second experiment, developmental changes in fear conditioning and fear generalization between children and adolescents were investigated. According to experiment 1 and previous studies in children, which showed changes in fear learning with increasing age, it was assumed that older children were better at discriminating threat and safety stimuli. Therefore, 396 healthy participants (aged 8 to 12 years) were examined with the fear conditioning and generalization paradigm. Again, ratings of valence, arousal, and SCRs were obtained. SCRs indicated differences in fear generalization with best fear discrimination in 12-year-old children suggesting that the age of 12 years seems to play an important role, since generalization gradients were similar to that of adults. These age differences were seen in boys and girls, but best discrimination was found in 12-year-old boys, indicating different development of generalization gradients according to sex. This result fits nicely with the fact that the prevalence of AD is higher in women than in men.
In a third study, it was supposed that the developmental trajectory from increased trait anxiety in childhood to manifest AD could be mediated by abnormal fear conditioning and generalization processes. To this end, 394 children aged 8 to 12 years with different scores in trait anxiety were compared with each other. Results provided evidence that children with high trait anxiety showed stronger responses to threat cues and impaired safety signal learning contingent on awareness as indicated by arousal at acquisition. Furthermore, analyses revealed that children with high trait anxiety showed overall higher arousal ratings at generalization. Contrary to what was expected, high trait anxious children did not show significantly more fear generalization than children with low trait anxiety. However, high-trait-anxious (HA) participants showed a trend for a more linear gradient, whereas moderate-trait-anxious (MA) and low-trait-anxious (LA) participants showed more quadratic gradients according to arousal. Additionally, after controlling for age, sex and negative life experience, SCR to the safety stimulus predicted the trait anxiety level of children suggesting that impaired safety signal learning may be a risk factor for the development of AD.
Results provide hints that frontal maturation could develop differently according to trait anxiety resulting in different stimuli discrimination. Thus, in a fourth experiment, 40 typically developing volunteers aged 10 to 18 years were screened for trait anxiety and investigated with the differential fear conditioning and generalization paradigm in the scanner. Functional magnetic resonance imaging (fMRI) were used to identify the neural mechanisms of fear learning and fear generalization investigating differences in this neural mechanism according to trait anxiety, developmental aspects and sex. At acquisition, HA participants showed reduced activation in frontal brain regions, but at generalization, HA participants showed an increase in these frontal regions with stronger linear increase in activation with similarity to CS+ in HA when compared to LA participants. This indicates that there is a hyper-regulation in adolescents to compensate the higher difficulties at generalization in form of a compensatory mechanism, which decompensates with adulthood and/or may be collapsed in manifest AD. Additionally, significant developmental effects were found: the older the subjects the stronger the hippocampus and frontal activation with resemblance to CS+, which could explain the overgeneralization of younger children. Furthermore, there were differences according to sex: males showed stronger activation with resemblance to CS+ in the hippocampus and frontal regions when compared to females fitting again nicely with the observation that prevalence rates for AD are higher for females than males.
In sum, the studies suggest that investigating developmental aspects of (maladaptive) overgeneralization may lead to better understanding of the mechanisms of manifest anxiety disorders, which could result in development and provision of prevention strategies. Although, there is need for further investigations, the present work gives some first hints for such approaches.
The number of active pharmaceutical ingredients (APIs) exhibiting a low solubility in aqueous media or a slow dissolution rate kept rising over the past years urging formulation scientists to explore new ways to tackle poor solubility and to enable oral absorption from such compounds. Bioavailability of poorly water-soluble compounds can be improved by increasing the dissolution rate and/or by increasing the gastro intestinal concentration through transient supersaturation. The dissolution rate of the API can be typically modified by the choice of the physical form, the polymorphic form, the powder surface area, and the local pH, while a transient supersaturation can be extended mainly by nucleation or crystallization inhibiting effects. In the present thesis, three strategies were explored to tailor the dissolution rate, the supersaturation and the hydrotropic solubilization of APIs, weak bases, respectively.
The first part of this thesis followed a bioinspired approach to extend the kinetic solubility of salts and co-crystals. API salts and co-crystals are high energy forms that can generate supersaturated solutions with respect to any more stable form, typically the most stable API form in physiological environment. The transient kinetic stabilization of supersaturated states, also termed “parachute effect”, is considered to improve bioavailability and is one aspect of the formulation that can be tailored. Inspiration from plants, which store high concentrations of aromatic bases in their vacuoles via complexation with polyphenols, sparked the evaluation to use hydroxybenzoic acid derivatives for salt or co-crystal engineering. Imatinib was chosen as the model compound for this investigation as its aromaticity and flat molecular architecture could favor interactions with hydroxybenzoic acid derivatives. One 1:1 Imatinib syringate co-crystal (I-SYA (1:1)) and one 1:2 Imatinib syringate co-crystal salt (I-SYA (1:2)) were obtained. Their dissolution assays in simulated intestinal fluid (SIF; a 50 mM phosphate buffer of pH 6.8) revealed that they formed stable solutions for several hours and days, respectively, in contrast to the marketed Imatinib mesylate salt (approx. 1h). This kinetic stability in solution was linked to the nucleation inhibition of the less soluble Imatinib hydrate by syringic acid (SYA). In solution 1H-NMR studies evidenced the aggregation of Imatinib and SYA. The amphiphilic nature of both Imatinib and SYA is considered to drive their association in solution, additionally, multiple intermolecular interactions such as hydrogen bonds and π-π stacking are likely to contribute. The association in solution enabled a phase of extended supersaturation, i.e., a parachute against desupersaturation, while no negative impact of aggregation on the permeability of both Imatinib and SYA was observed.
A prerequisite to reach supersaturation is a rapid dissolution and release of the API from the formulation. Accordingly, the second and third part of this thesis is focused on the so-called “spring effect” of amorphous solid dispersions (ASDs). The addition of a hydrotropic agent, meaning a molecule that can solubilize poorly water-soluble APIs in aqueous solutions (well-known examples of hydrotropes are benzoic acid and nicotinamide) into an amorphous Ciprofloxacin-polymer matrix led to ternary systems with a significantly faster release and higher concentration of the API in SIF as compared to binary ASDs consisting of Ciprofloxacin (CPX) and polymer only. The stronger spring could be rationalized by an improved wetting of the ASD, or/and by a hydrotropic solubilization effect, although these hypotheses need further investigation. Marked differences in the dissolution profiles of binary ASDs were observed in biorelevant fasted simulated intestinal fluid (FaSSIF; a medium containing Na taurocholate (3 mM) and lecithin (0.75 mM) at pH 6.5) as compared to SIF. In FaSSIF, API release from binary polymeric ASDs was largely improved, and the duration of supersaturation was extended. This suggests that the bile salt Na taurocholate and lecithin present in FaSSIF do improve both dissolution rate and supersaturation of ASDs, the two pillars of ASDs as oral enabling formulations. Indeed, bile salts are endogenous surfactants which, together with phospholipids, play an important role in the wetting, solubilization, and absorption of lipophilic compounds.
The aim of the third part of the present thesis was to study ASDs as formulation principles reducing the strong positive food effect of Compound A. By inclusion of Na taurocholate (NaTC) within the matrix of polymeric ASDs a significant improvement of the dissolution rate and the kinetic solubility in SIF were achieved. Transient supersaturated states of up to four orders of magnitude over the equilibrium solubility were obtained. Two ASDs were selected for further in vivo evaluation in dog. The first was a NaTC/Eudragit E based ASD meant to dissolve and release Compound A in the acidic environment of the stomach, where its solubility is the highest. The second relied on the release of Compound A in the neutral environment of the duodenum and jejunum by using an enterically dissolving polymer, HPMC-P. Releasing the API at the site of its putative absorption was an attempt to control supersaturation levels in the duodenum and to prevent portioning and thus dilution effects during transfer from the stomach. In fasted dogs, exposure from the NaTC/HPMC-P ASD was close to that of the reference Compound A formulation under fed conditions, which suggests an improved dissolution rate and kinetic solubility under fasted conditions (historical data). The exposure from the NaTC/Eudragit E ASD was twice as low as from the NaTC/HPMC-P ASD, and also lower compared to Compound A reference formulation, whereas in vitro the parachute effect of the NaTC/Eudragit E ASD was largely superior to that of the NaTC/HPMC-P ASD. A difference in the extend of the parachute could be related to differences in the thermodynamic activity of dissolved molecules from the two ASDs. Indeed, the high instability of the NaTC/HPMC-P ASD could stem from a high thermodynamic activity driving diffusion through membranes, whereas less instable solutions of NaTC/Eudragit E could indicate solubilization effects which often translate into a lower flux through the biological membrane. Additionally, the pH of the environment where dissolution takes place might be an important factor for absorption, and could also account for the difference in exposure from the two ASDs.
The aim of this thesis was to explore how the intimate environment of weak, poorly soluble bases could be functionalized to improve dissolution rate and kinetic solubility. The investigations highlighted that the performance of enabling oral delivery formulations of weak bases in aqueous media can be enhanced at different levels. At one end initial dissolution rate of ASDs can be tailored by introducing hydrotropes or/and bile salts within the polymeric matrix of ASDs. Bile salts, when combined with appropriate polymers, had also a precipitation inhibition effect enabling the maintenance of supersaturation for a bio-relevant period of time. These results set the ground for further investigations to comprehend specific interactions between bile salts and APIs, and potentially polymers at the molecular level. It will be interesting to explore how such complex systems can be exploited in the formulation design of poorly water-soluble APIs. In addition, it was observed that the duration of supersaturation generated by salts/co-crystals can be extended by the pertinent selection of counterions or coformers. The in vivo relevance of these tunings remains to be evaluated, as translation from closed, in vitro systems to the highly dynamic gastrointestinal environment is not straightforward. A better understanding of the contribution of each kinetic stage (dissolution, supersaturation, and precipitation) and their interplay with physiological factors impacting absorption is essential to facilitate the design of formulations with improved pharmacokinetics.
Assay and impurity profiling of the pharmaceuticals are the key routine quality control methods employed worldwide for which High Performance Liquid Chromatography (HPLC) is the most widely used technique. The ability to carry out these routine laboratory procedures in low- and middle- income countries (LMICs) need the methods to be based upon simple instruments manageable with moderate levels of personnel skill and costs involved.
Simple, convenient, and cost effective reverse phase HPLC methods were developed using phosphate buffer and methanol as mobile phase with C18 column as stationary phase for the impurity profiling and assay of beta lactam antibiotics. Isocratic elution and UV detection was employed in these methods. Impurity profiling method was developed for coamoxiclav tablets and ceftriaxone bulk drug. The method for ceftriaxone included a supplementary method to quantify one of its known impurity (Impurity D of ceftriaxone). This method involved use of acetonitrile where as the two main methods were achieved on the targeted method design, described above. With the exception of impurity A of ceftriaxone, the methods developed can successfully quantify impurities to the concentration as low as ≤0.05%, which is in accordance with the current guidelines for the impurity profiling of antibiotics issued by European Medicines Agency.
As ensuring cost reduction was one of the key objectives of carrying out the method development exercise, in situ methods for the preparation of impurities were also identified and some new methods were introduced. The stability of beta lactam antibiotics and the choice of solvent were given due attention during the process of method development revealing information on the presence of new impurities. Deacetyl cefotaxime and 2-mercaptobenzathiazole were identified in this process as new impurities of ceftriaxone currently not listed under known impurities by United States Pharmacopoeia and European Pharmacopoeia. However, deacetyl cefotaxime is a known impurity of cefotaxime whereas the latter molecule is a degradation product of one of the synthesis impurities of ceftriaxone. This substance is reported to be carcinogenic and is resolved using the supplementary method developed for ceftriaxone, hence making its detection and quantification possible. A known inactive impurity of ceftriaxone (Impurity A, E-isomer of ceftriaxone) was` also shown to be produced by exposure to day light, thus warranting the light protection of the ceftriaxone solution, an information that is of critical importance in the clinical settings.
A series of experimentation was carried out on the finished products of beta lactam antibiotics sampled from Pakistan and few other countries, to identify key quality issues in the samples. Though the limited sample size and convenient sampling did not provide results that could yield a decisive figure for the country status for prevalence of substandard and falsified medical products, but the experiments have clearly indicated that the problems in drug quality do exist and beta lactam antibiotics form a class of high-risk medicine with respect to surveillance for poor-quality medicines. Isolation of unknown impurities was also carried out along with the introduction of new and modified methods for preparation of impurities of beta-lactam antibiotics.
In addition, detailed literature survey was carried out for understanding the complex problem of the poor-quality medicine, impact of poor quality antimicrobials on health care system and the magnitude of the problem at the global level. The country status of Pakistan regarding quality of medicines was recorded based upon the available documentary evidence. The current technologies and strategic options available for low- and middle-income countries in aiding fight for combating poor quality medicines was also laid down to design recommendations for Pakistan. A comprehensive review of the information technology tools used for identification and control of substandard and falsified medicines was also conducted.
In addition to bradykinesia and tremor, patients with Parkinson’s disease (PD) are known to exhibit non-motor symptoms such as apathy and hypomimia but also impulsivity in response to dopaminergic replacement therapy. Moreover, a plethora of studies observe differences in electrocortical and autonomic responses to both visual and acoustic affective stimuli in PD subjects compared to healthy controls. This suggests that the basal ganglia (BG), as well as the hyperdirect pathway and BG thalamocortical circuits, are involved in affective processing. Recent studies have shown valence and dopamine-dependent changes in synchronization in the subthalamic nucleus (STN) in PD patients during affective tasks. This thesis investigates the role of dopamine, valence, and laterality in STN electrophysiology by analyzing event-related potentials (ERP), synchronization, and inter-hemispheric STN connectivity. STN recordings were obtained from PD patients with chronically implanted electrodes for deep brain stimulation during a passive affective picture presentation task. The STN exhibited valence-dependent ERP latencies and lateralized ‘high beta’ (28–40 Hz) event-related desynchronization. This thesis also examines the role of dopamine, valence, and laterality on STN functional connectivity with the anterior cingulate cortex (ACC) and the amygdala. The activity of these limbic structures was reconstructed using simultaneously recorded electroencephalographic signals. While the STN was found to establish early coupling with both structures, STN-ACC coupling in the ‘alpha’ range (7–11 Hz) and uncoupling in the ‘low beta’ range (14–21 Hz) were lateralized. Lateralization was also observed at the level of synchrony in both reconstructed sources and for ACC ERP amplitude, whereas dopamine modulated ERP latency in the amygdala. These results may deepen our current understanding of the STN as a limbic node within larger emotional-motor networks in the brain.
This work deals with a class of nonlinear dynamical systems exhibiting both continuous and discrete dynamics, which is called as hybrid dynamical system.
We provide a broader framework of generalized hybrid dynamical systems allowing us to handle issues on modeling, stability and interconnections.
Various sufficient stability conditions are proposed by extensions of direct Lyapunov method.
We also explicitly show Lyapunov formulations of the nonlinear small-gain theorems for interconnected input-to-state stable hybrid dynamical systems.
Applications on modeling and stability of hybrid dynamical systems are given by effective strategies of vaccination programs to control a spread of disease in epidemic systems.
Besides a growing tendency for delayed parenthood, sedentary lifestyle coupled with overnutrition has dramatically increased worldwide over the last few decades. Epigenetic mechanisms can help us understand the epidemics and heritability of complex traits like obesity to a significant extent. Majority of the research till now has focused on determining the impact of maternal factors on health and disease risk in the offspring(s).
This doctoral thesis is focused on deciphering the potential effects of male aging and obesity on sperm methylome, and consequences/transmission via germline to the next generation. In humans, this was assessed in a unique cohort of ~300 sperm samples, collected after in vitro fertilization/intracytoplasmic sperm injection, as well as in conceived fetal cord blood samples of the children. Furthermore, aging effect on sperm samples derived from a bovine cohort was analyzed.
The study identified that human male aging significantly increased the DNA methylation levels of the promoter, the upstream core element, the 18S, and the 28S regions of ribosomal DNA (rDNA) in sperm. Prediction models were developed to anticipate an individual’s age based on the methylation status of rDNA regions in his sperm. Hypermethylation of alpha satellite and LINE1 repeats in human sperm was also observed with aging. Epimutations, which are aberrantly methylated CpG sites, were significantly higher in sperm of older males compared to the younger ones. These effects on the male germline had a negative impact on embryo quality of the next generation. Consistent with these results, DNA methylation of rDNA regions, bovine alpha satellite, and testis satellite repeats displayed a significant positive correlation with aging sperm samples within the same individual and across different age-grouped bulls.
A positive association between human male obesity/body mass index (BMI) and DNA methylation of the imprinted MEG3 gene and the obesity-related HIF3A gene was detected in sperm. These BMI-induced sperm DNA methylation signatures were transmitted to next generation fetal cord blood (FCB) samples in a gender-specific manner. Males, but not female offsprings exhibited a significant positive correlation between father’s BMI and FCB DNA methylation in the two above-mentioned amplicons. Additionally, hypomethylation of IGF2 with increased paternal BMI was observed in female FCB samples. Parental allele-specific in-depth methylation analysis of imprinted genes using next generation sequencing technology also revealed significant correlations between paternal factors like age and BMI, and the corresponding father’s allele DNA methylation in FCB samples.
Deep bisulphite sequencing of imprinted genes in diploid somatic cord blood cells of offspring detected that the levels of DNA methylation signatures largely depended on the underlying genetic variant, i.e. sequence haplotypes. Allele-specific epimutations were observed in PEG1, PEG5, MEG3, H19, and IGF2 amplicons. For the former three genes, the non-imprinted unmethylated allele displayed more epimutations than the imprinted methylated allele. On the other hand, for the latter two genes, the imprinted allele exhibited higher epimutation rate than that of the non-imprinted allele.
In summary, the present study proved that male aging and obesity impacts the DNA methylome of repetitive elements and imprinted genes respectively in sperm, and also has considerable consequences on the next generation. Nevertheless, longitudinal follow-up studies are highly encouraged to elucidate if these effects can influence the risk of developing abnormal phenotype in the offspring during adulthood.
The work at hand discusses various universality results for locally univalent and conformal metrics.
In Chapter 2 several interesting approximation results are discussed. Runge-type Theorems for holomorphic and meromorphic locally univalent functions are shown. A well-known local approximation theorem for harmonic functions due to Keldysh is generalized to solutions of the curvature equation.
In Chapter 3 and 4 these approximation theorems are used to establish universality results for locally univalent functions and conformal metrics. In particular locally univalent analogues for well-known universality results due Birkhoff, Seidel & Walsh and Heins are shown.
It is the aim of this thesis to present a visual body weight estimation, which is suitable for medical applications. A typical scenario where the estimation of the body weight is essential, is the emergency treatment of stroke patients: In case of an ischemic stroke, the patient has to receive a body weight adapted drug, to solve a blood clot in a vessel. The accuracy of the estimated weight influences the outcome of the therapy directly. However, the treatment has to start as early as possible after the arrival at a trauma room, to provide sufficient treatment. Weighing a patient takes time, and the patient has to be moved. Furthermore, patients are often not able to communicate a value for their body weight due to their stroke symptoms. Therefore, it is state of the art that physicians guess the body weight. A patient receiving a too low dose has an increased risk that the blood clot does not dissolve and brain tissue is permanently damaged. Today, about one-third gets an insufficient dosage. In contrast to that, an overdose can cause bleedings and further complications. Physicians are aware of this issue, but a reliable alternative is missing.
The thesis presents state-of-the-art principles and devices for the measurement and estimation of body weight in the context of medical applications. While scales are common and available at a hospital, the process of weighing takes too long and can hardly be integrated into the process of stroke treatment. Sensor systems and algorithms are presented in the section for related work and provide an overview of different approaches.
The here presented system -- called Libra3D -- consists of a computer installed in a real trauma room, as well as visual sensors integrated into the ceiling. For the estimation of the body weight, the patient is on a stretcher which is placed in the field of view of the sensors. The three sensors -- two RGB-D and a thermal camera -- are calibrated intrinsically and extrinsically. Also, algorithms for sensor fusion are presented to align the data from all sensors which is the base for a reliable segmentation of the patient.
A combination of state-of-the-art image and point cloud algorithms is used to localize the patient on the stretcher. The challenges in the scenario with the patient on the bed is the dynamic environment, including other people or medical devices in the field of view.
After the successful segmentation, a set of hand-crafted features is extracted from the patient's point cloud. These features rely on geometric and statistical values and provide a robust input to a subsequent machine learning approach. The final estimation is done with a previously trained artificial neural network.
The experiment section offers different configurations of the previously extracted feature vector. Additionally, the here presented approach is compared to state-of-the-art methods; the patient's own assessment, the physician's guess, and an anthropometric estimation. Besides the patient's own estimation, Libra3D outperforms all state-of-the-art estimation methods: 95 percent of all patients are estimated with a relative error of less than 10 percent to ground truth body weight. It takes only a minimal amount of time for the measurement, and the approach can easily be integrated into the treatment of stroke patients, while physicians are not hindered.
Furthermore, the section for experiments demonstrates two additional applications: The extracted features can also be used to estimate the body weight of people standing, or even walking in front of a 3D camera. Also, it is possible to determine or classify the BMI of a subject on a stretcher. A potential application for this approach is the reduction of the radiation dose of patients being exposed to X-rays during a CT examination.
During the time of this thesis, several data sets were recorded. These data sets contain the ground truth body weight, as well as the data from the sensors. They are available for the collaboration in the field of body weight estimation for medical applications.
Maps are the main tool to represent geographical information. Users often zoom in and out to access maps at different scales. Continuous map generalization tries to make the changes between different scales smooth, which is essential to provide users with comfortable zooming experience.
In order to achieve continuous map generalization with high quality, we optimize some important aspects of maps. In this book, we have used optimization in the generalization of land-cover areas, administrative boundaries, buildings, and coastlines. According to our experiments, continuous map generalization indeed benefits from optimization.
Viral infections induce a significant impact on various functional categories of biological processes in the host. The understanding of this complex modification of the infected host immune system requires a global and detailed overview on the infection process. Therefore it is essential to apply a powerful approach which identifies the involved components conferring the capacity to recognize and respond to specific pathogens, which in general are defeated in so-called compatible virus-plant infections. Comparative and integrated systems biology of plant-virus interaction progression may open a novel framework for a systemic picture on the modulation of plant immunity during different infections and understanding pathogenesis mechanisms. In this thesis these approaches were applied to study plant-virus infections during two main viral pathogens of cassava: Cassava brown streak virus and African cassava mosaic virus.
Here, the infection process was reconstructed by a combination of omics data-based analyses and metabolic network modelling, to understand the major metabolic pathways and elements underlying viral infection responses in different time series, as well as the flux activity distribution to gain more insights into the metabolic flow and mechanism of regulation; this resulted in simultaneous investigations on a broad spectrum of changes in several levels including the gene expression, primary metabolites, and enzymatic flux associated with the characteristic disease development process induced in Nicotiana benthamiana plants due to infection with CBSV or ACMV.
Firstly, the transcriptome dynamics of the infected plant was analysed by using mRNA-sequencing, in order to investigate the differential expression profile according the symptom developmental stage. The spreading pattern and different levels of biological functions of these genes were analysed associated with the infection stage and virus entity. A next step was the Real-Time expression modification of selected key pathway genes followed by their linear regression model. Subsequently, the functional loss of regulatory genes which trigger R-mediated resistance was observed. Substantial differences were observed between infected mutants/transgenic lines and wild-types and characterized in detail. In addition, we detected a massive localized accumulation of ROS and quantified the scavenging genes expression in the infected wild-type plants relative to mock infected controls.
Moreover, we found coordinated regulated metabolites in response to viral infection measured by using LC-MS/MS and HPLC-UV-MS. This includes the profile of the phytohormones, carbohydrates, amino acids, and phenolics at different time points of infection with the RNA and DNA viruses. This was influenced by differentially regulated enzymatic activities along the salicylate, jasmonate, and chorismate biosynthesis, glycolysis, tricarboxylic acid cycle, and pentose phosphate pathways, as well as photosynthesis, photorespiration, transporting, amino acid and fatty acid biosynthesis. We calculated the flux redistribution considering a gradient of modulation for enzymes along different infection stages, ranging from pre-symptoms towards infection stability.
Collectively, our reverse-engineering study consisting of the generation of experimental data and modelling supports the general insight with comparative and integrated systems biology into a model plant-virus interaction system. We refine the cross talk between transcriptome modification, metabolites modulation and enzymatic flux redistribution during compatible infection progression. The results highlight the global alteration in a susceptible host, correlation between symptoms severity and the alteration level. In addition we identify the detailed corresponding general and specific responses to RNA and DNA viruses at different stages of infection. To sum up, all the findings in this study strengthen the necessity of considering the timing of treatment, which greatly affects plant defence against viral infection, and might result in more efficient or combined targeting of a wider range of plant pathogens.
This dissertation employs gauge/gravity duality to investigate features
of ( 2 + 1 ) -dimensional quantum gravity in Anti-de Sitter space (AdS)
and its relation to conformal field theory (CFT) in 1 + 1 dimensions.
Concretely, we contribute to research on the frontier of gauge/gravity
with condensed matter as well as the frontier with quantum informa-
tion.
The first research topic of this thesis is motivated by the Kondo
model, which describes the screening of magnetic impurities in metals
by conduction electrons at low temperatures. This process has a de-
scription in the language of string theory via fluctuating surfaces in
spacetime, called branes. At high temperatures the unscreened Kondo
impurity is modelled by a stack of pointlike branes. At low tempera-
tures this stack condenses into a single spherical, two-dimensional brane
which embodies the screened impurity.
This thesis demonstrates how this condensation process is naturally
reinvoked in the holographic D1/D5 system. We find brane configu-
rations mimicking the Kondo impurities at high and low energies and
establish the corresponding brane condensation, where the brane grows
two additional dimensions. We construct supergravity solutions, which
fully take into account the effect of the brane on its surrounding space-
time before and after the condensation takes place. This enables us
to compute the full impurity entropies through which we confirm the
validity of the g-theorem.
The second research topic is rooted in the connection of geometry
with quantum information. The motivation stems from the “complexity
equals volume” proposal, which relates the volume of wormholes to
the cicruit complexity of a thermal quantum state. We approach this
proposal from a pragmatic point of view by studying the properties of
certain volumes in gravity and their description in the CFT.
We study subregion complexities, which are the volumes of the re-
gions subtended by Ryu-Takayanagi (RT) geodesics. On the gravity
side we reveal their topological properties in the vacuum and in ther-
mal states, where they turn out to be temperature independent. On the
field theory side we develop and proof a formula using kinematic space
which computes subregion complexities without referencing the bulk.
We apply our formula to global AdS 3 , the conical defect and a black
hole. While entanglement, i.e. minimal boundary anchored geodesics,
suffices to produce vacuum geometries, for the conical defect we also
need geodesics windings non-trivially around the singularity. The black
hole geometry requires additional thermal contributions.
This thesis elucidates patterns and drivers of invertebrate herbivory, herbivore diversity, and community-level biomass along elevational and land use gradients at Mt. Kilimanjaro, Tanzania.
Chapter I provides background information on the response and predictor variables, study system, and the study design. First, I give an overview of the elevational patterns of species diversity/richness and herbivory published in the literature. The overview illuminates existing debates on elevational patterns of species diversity/richness and herbivory. In connection to these patterns, I also introduce several hypotheses and mechanisms put forward to explain macroecological patterns of species richness. Furthermore, I explain the main variables used to test hypotheses. Finally, I describe the study system and the study design used.
Chapter II explores the patterns of invertebrate herbivory and their underlying drivers along extensive elevational and land use gradients on the southern slopes of Mt. Kilimanjaro. I recorded standing leaf herbivory from leaf chewers, leaf miners and gall-inducing insects on 55 study sites located in natural and anthropogenic habitats distributed from 866 to 3060 meters above sea level (m asl) on Mt. Kilimanjaro. Standing leaf herbivory was related to climatic variables [mean annual temperature - (MAT) and mean annual precipitation - (MAP)], net primary productivity (NPP) and plant functional traits (leaf traits) [specific leaf area (SLA), carbon to nitrogen ratio (CN), and nitrogen to phosphorous ratio (NP)]. Results revealed an unimodal pattern of total leaf herbivory along the elevation gradient in natural habitats. Findings also revealed differences in the levels and patterns of herbivory among feeding guilds and between anthropogenic and natural habitats. Changes in NP and CN ratios which were closely linked to NPP were the strongest predictors of leaf herbivory. Our study uncovers the role of leaf nutrient stoichiometry and its linkages to climate in explaining the variation in leaf herbivory along climatic gradients.
Chapter III presents patterns and unravels direct and indirect effects of resource (food) abundance (NPP), resource (food) diversity [Functional Dispersion (FDis)], resource quality (SLA, NP, and CN rations), and climate variables (MAT and MAP) on species diversity of phytophagous beetles. Data were collected from 65 study sites located in natural and anthropogenic habitats distributed from 866 to 4550 m asl on the southern slopes of Mt. Kilimanjaro. Sweep net and beating methods were used to collect a total of 3,186 phytophagous beetles representing 21 families and 304 morphospecies. Two groups, weevils (Curculionidae) and leaf beetles (Chrysomelidae) were the largest and most diverse families represented with 898 and 1566 individuals, respectively. Results revealed complex (bimodal) and dissimilar patterns of Chao1-estimated species richness (hereafter referred to as species diversity) along elevation and land use gradients. Results from path analysis showed that temperature and climate-mediated changes in NPP had a significant positive direct and indirect effect on species diversity of phytophagous beetles, respectively. The results also revealed that the effect of NPP (via beetles abundance and diversity of food resources) on species diversity is stronger than that of temperature. Since we found that factors affecting species diversity were intimately linked to climate, I concluded that predicted climatic changes over the coming decades will likely alter the species diversity patterns which we observe today.
Chapter IV presents patterns and unravels the direct and indirect effects of climate, NPP and anthropogenic disturbances on species richness and community-level biomass of wild large mammals which represent endothermic organisms and the most important group of vertebrate herbivores. Data were collected from 66 study sites located in natural and anthropogenic habitats distributed from 870 to 4550 m asl on the southern slopes of Mt. Kilimanjaro. Mammals were collected using camera traps and used path analysis to disentangle the direct and indirect effects of climatic variables, NPP, land use, land area, levels of habitat protection and occurrence of domesticated mammals on the patterns of richness and community-level biomass of wild mammals, respectively. Results showed unimodal patterns for species richness and community-level biomass of wild mammals along elevation gradients and that the patterns differed depending on the type of feeding guild. Findings from path analysis showed that net primary productivity and levels of habitat protection had a strong direct effect on species richness and community-level biomass of wild mammals whereas temperature had an insignificant direct effect. Findings show the importance of climate-mediated food resources in determining patterns of species richness of large mammals. While temperature is among key predictors of species richness in several ectotherms, its direct influence in determining species richness of wild mammals was insignificant. Findings show the sensitivity of wild mammals to anthropogenic influences and underscore the importance of protected areas in conserving biodiversity.
In conclusion, despite a multitude of data sets on species diversity and ecosystem functions along broad climatic gradients, there is little mechanistic understanding of the underlying causes. Findings obtained in the three studies illustrate their contribution to the scientific debates on the mechanisms underlying patterns of herbivory and diversity along elevation gradients. Results present strong evidence that plant functional traits play a key role in determining invertebrate herbivory and species diversity along elevation gradients and that, their strong interdependence with climate and anthropogenic activities will shape these patterns in future. Additionally, findings from path analysis demonstrated that herbivore diversity, community-level biomass, and herbivory are strongly influenced by climate (either directly or indirectly). Therefore, the predicted climatic changes are expected to dictate ecological patterns, biotic interactions, and energy and nutrient fluxes in terrestrial ecosystems in the coming decades with stronger impacts probably occurring in natural ecosystems. Furthermore, findings demonstrated the significance of land use effects in shaping ecological patterns. As anthropogenic pressure is advancing towards more pristine higher elevations, I advocate conservation measures which are responsive to and incorporate human dimensions to curb the situation. Although our findings emanate from observational studies which have to take several confounding factors into account, we have managed to demonstrate global change responses in real ecosystems and fully established organisms with a wide range of interactions which are unlikely to be captured in artificial experiments. Nonetheless, I recommend additional experimental studies addressing the effect of top-down control by natural enemies on herbivore diversity and invertebrate herbivory in order to deepen our understanding of the mechanisms driving macroecological patterns along elevation gradients.
Making machines understand natural language is a dream of mankind that existed
since a very long time. Early attempts at programming machines to converse with
humans in a supposedly intelligent way with humans relied on phrase lists and simple
keyword matching. However, such approaches cannot provide semantically adequate
answers, as they do not consider the specific meaning of the conversation. Thus, if we
want to enable machines to actually understand language, we need to be able to access
semantically relevant background knowledge. For this, it is possible to query so-called
ontologies, which are large networks containing knowledge about real-world entities
and their semantic relations. However, creating such ontologies is a tedious task, as often
extensive expert knowledge is required. Thus, we need to find ways to automatically
construct and update ontologies that fit human intuition of semantics and semantic
relations. More specifically, we need to determine semantic entities and find relations
between them. While this is usually done on large corpora of unstructured text, previous
work has shown that we can at least facilitate the first issue of extracting entities by
considering special data such as tagging data or human navigational paths. Here, we do
not need to detect the actual semantic entities, as they are already provided because of
the way those data are collected. Thus we can mainly focus on the problem of assessing
the degree of semantic relatedness between tags or web pages. However, there exist
several issues which need to be overcome, if we want to approximate human intuition of
semantic relatedness. For this, it is necessary to represent words and concepts in a way
that allows easy and highly precise semantic characterization. This also largely depends
on the quality of data from which these representations are constructed.
In this thesis, we extract semantic information from both tagging data created by users
of social tagging systems and human navigation data in different semantic-driven social
web systems. Our main goal is to construct high quality and robust vector representations
of words which can the be used to measure the relatedness of semantic concepts.
First, we show that navigation in the social media systems Wikipedia and BibSonomy is
driven by a semantic component. After this, we discuss and extend methods to model
the semantic information in tagging data as low-dimensional vectors. Furthermore, we
show that tagging pragmatics influences different facets of tagging semantics. We then
investigate the usefulness of human navigational paths in several different settings on
Wikipedia and BibSonomy for measuring semantic relatedness. Finally, we propose
a metric-learning based algorithm in adapt pre-trained word embeddings to datasets
containing human judgment of semantic relatedness.
This work contributes to the field of studying semantic relatedness between words
by proposing methods to extract semantic relatedness from web navigation, learn highquality
and low-dimensional word representations from tagging data, and to learn
semantic relatedness from any kind of vector representation by exploiting human
feedback. Applications first and foremest lie in ontology learning for the Semantic Web,
but also semantic search or query expansion.
G protein-coupled receptors of the Adhesion family (aGPCRs) comprise the second largest group within the GPCR realm with over 30 mammalian homologs. They contain a unique structure with unusually large extracellular domains (ECDs) holding many structural folds known to mediate cell-cell and cell-matrix interactions. Furthermore, aGPCRs undergo autoproteolytic cleavage at the GPCR proteolysis site (GPS), an integral portion of the GPCR autoproteolysis inducing (GAIN) domain. Thus far, it is largely unknown if and how self-cleavage affects aGPCR activation and signaling and how these signals may shape the physiological function of cells.
Latrophilin, alternatively termed the calcium-independent receptor of α-latrotoxin (CIRL) constitutes a highly conserved, prototypic aGPCR and has been assigned roles in various biological processes such as synaptic development and maturation or the regulation of neurotransmitter release. The Drosophila melanogaster homolog dCIRL is found in numerous sensory neurons including the mechanosensory larval pentascolopidial chordotonal organs (CHOs), which rely on dCIRL function in order to sense mechanical cues and to modulate the mechanogating properties of present ionotropic receptors.
This study reveals further insight into the broad distribution of dCirl expression throughout the larval central nervous system, at the neuromuscular junction (NMJ), as well as subcellular localization of dCIRL in distal dendrites and cilia of chordotonal neurons. Furthermore, targeted mutagenesis which disabled GPS cleavage of dCIRL left intracellular trafficking in larval CHOs unaffected and proved autoproteolysis is not required for dCIRL function in vivo. However, substitution of a threonine residue, intrinsic to a putative tethered agonist called Stachel that has previously been documented for several other aGPCRs, abrogated receptor function. Conclusively, while this uncovered the presence of Stachel in dCIRL, it leaves the question about the biological relevance of the predetermined breaking point at the GPS unanswered. In an independent approach, the structure of the “Inter-RBL-HRM” (IRH) region, the region linking the N-terminal Rhamnose-binding lectin-like (RBL) and the hormone receptor motif (HRM) domains of dCIRL, was analyzed. Results suggest random protein folding, excessive glycosylation, and a drastic expansion of the size of IRH. Therefore, the IRH might represent a molecular spacer ensuring a certain ECD dimension, which in turn may be a prerequisite for proper receptor function.
Taken together, the results of this study are consistent with dCIRL’s mechanoceptive faculty and its role as a molecular sensor that translates mechanical cues into metabotropic signals through a yet undefined Stachel-dependent mechanism.
Summary
Introduction. Rapid and uncontrolled industrialisation and urbanisation in most developing countries are resulting in land, air and water pollution at rates that the natural environment cannot fully renew. These contemporary environmental issues have attracted local, national and international attention. The problem of urban garbage management is associated with rapid population growth in developing countries. These are pertinent environmental crises of sustainability and sanitation in Sub-Saharan Africa and other Third World countries. Despite efforts of the various tiers of government (the case of Nigeria with three tiers: Federal, State and Local governments) in managing solid waste in urban centres, it is still overflowing open dumpsites, litters streets and encroaches into water bodies. These affect the quality of urban living conditions and the natural environment.
Sub-Saharan and other developing countries are experiencing an upsurge in the accumulation and the diversity of waste including E-waste, waste agricultural biomass and waste plastics. The need for effective, sustainable and efficient management of waste through the application of 3Rs principle (Reduce, Reuse, and Recycle) is an essential element for promoting sustainable patterns of consumption and production. This study examined waste management in Imo State, Nigeria as an aspect correlated to the sustainability of its environment.
Materials and methods. To analyse waste management as a correlate of environmental sustainability in Sub-Saharan Africa, Imo State, in eastern Nigeria was chosen as a study area. Issues about waste handling and its impact on the environment in Imo have been reported since its creation in 1976; passing through the State with the cleanest State capital in 1980 to a ‘dunghill’ in 2013 and a ‘garbage capital’ on October 1, 2016. Within this State, three study sites were selected – Owerri metropolis (the State capital) Orlu and Okigwe towns. At these sites, households, commercial areas, accommodation and recreational establishments and schools, as well as dumpsites were investigated to ascertain the composition, quantity, distribution, handling patterns of waste in relation to the sustainability of the State’s environment. This was done conveniently but randomly through questionnaires, interviews, focus group discussions and non-participant observation; these were all heralded by a detailed deskwork. Data were entered using Microsoft Office Excel and were explored and analysed using the Statistical Package for Social Sciences - SPSS.
Data were made essentially of categorical variables and were analysed using descriptive statistics. The association between categorical variables was measured using Cramer’s V the Chi-Square that makes the power and the reliability of the test. Cramer’s V is a measure of association tests directly integrated with cross-tabulation. The Chi-Square test of equal proportions was used to compare proportions for significant differences at 0.05 levels. The statistical package - the Epi Info 6.04d was also used since a contingency table had to be created from several sub-outputs and determine the extent of association between the row and column categories.
The scale variable ‘quantity of waste generated’ was described using measures of central tendency. It was screened for normality using the Kolmogorov-Smirnov and Shapiro-Wilk tests for normality; in all context, the normality assumption was violated (P<0.05). Five null hypotheses were tested using Logistic Regression model. The explanatory power of individual conceptual component was calculated using the Cox & Snell R2 and that of individual indicators was also appraised using the Likelihood Ratio test.
In the context of this work, the significance of the variability explained by the model (baseline model) was appraised using the Omnibus Tests of Model Coefficients, the magnitude of this variability explained by the model using the Cox & Snell R2 and the effects of individual predictors using the Likelihood Ratio test.
Qualitatively, data from open-ended items, observations and interviews were analysed using the process of thematic analysis whereby concepts or ideas were grouped under umbrella terms or keywords. The results were presented using tables, charts, graphs, photos and maps.
Findings and discussions. The total findings and analyses indicated that proper waste handling in Imo State, Nigeria has a positive impact on the environment. This was assessed by the community’s awareness of waste management via sources like the radio and the TV, their education on waste management and schools’ integration of environmental education in their program. Although most community members perceived the State’s environment as compared to it about 10 years’ back has worsened, where they were conscious of proper waste handling measures, the environment was described to be better. This influence of environmental awareness and education on environmental sustainability appraised using Logistic Regression Model, portrayed a significant variability (Omnibus Tests of Model Coefficients: χ2=42.742; P=0.014), inferring that environmental awareness and education significantly predict environmental sustainability.
The findings also revealed that organic waste generation spearheaded amongst other waste types like paper, plastic, E-waste, metal, textile and glass. While waste pickers always sorted paper, plastics, aluminium and metal, some of them also sorted out textile and glass. Statistically (P<0.05), in situations where waste was least generated (i.e., 1-2kg per day), community members maintained that the environmental quality was better in comparison to 10 years’ back. Waste items like broken glass and textile as well as the remains of E-waste after the extraction of copper and brass were not sorted for and these contributed more to environmental degradation.
Similarly, the influence of wealth on environmental sustainability was appraised using Logistic Regression Model including development index related indicators like education, occupation, income and the ability to pay for waste disposal. Harmonising the outcome, farmers, who were mostly the least educated claimed to notice more environmental improvement. In addition, those who did not agree to pay for waste disposal who were mostly those with low income (less than 200,000 Naira, i.e. about 620 Euros monthly) perceived environmental improvement more than those with income above 200,000 Naira. This irony can be attributed to the fact that those with low educational backing lack the capacity to appreciate environmental sustainability pointers well as compared to those with a broader educational background with critical thinking.
The employment and poverty reduction opportunities pertaining to waste management on environmental sustainability was appraised using qualitative thematic analysis. All community members involved in sorting, buying and selling of waste items had no second job. They attested that the money earned from their activities sustained their livelihood and families. Some expressed love for the job, especially as they were their own masters. Waste picking and trading in waste items are offering employment opportunities to many communities around the world. For instance, in the waste recycling, waste composting, waste-to-energy plants and die Stadtreiniger in Würzburg city. The workers in these enterprises have jobs as a result of waste.
Waste disposal influence on environmental sustainability was appraised using the Binary Logistic Regression Model and the variability explained by the model was significant. The validity was also supported by the Wald statistics (P<0.05), which indicates the effect of the predictors is significant. Environmental sustainability was greatly reliant on indicators like the frequency at which community members emptied their waste containers; how/where waste is disposed of, availability of disposal site or public bin near the house, etc. Imolites who asserted to have public waste bins or disposal sites near their houses maintained that the quality of the State’s environment had worsened as such containers/disposal sites were always stinking as well as had animals and smoke around them. Imolites around disposal sites complained of traits like diarrhoea, catarrh, insect bites, malaria, smoke and polluted air.
Conclusions. The liaison between poor waste management strategies and the sustainability of the Imo State environment was considered likely as statistically significant ineffectiveness, lack of awareness, poverty, insufficient and unrealistic waste management measures were found in this study area. In these situations, the environment was said to have not improved. Such inadequacies in the handling of generated waste did not only expose the citizenry to health dangers but also gave rise to streets and roads characterized by filth and many unattended disposal sites unleashing horrible odour to the environment and attracting wild animals. This situation is not only prevalent in Imo State, Nigeria but in many Sub-Saharan cities.
Future Perspectives. To improve the environment in Sub-Saharan Africa, it is imperative to practice an inclusive and integrated sustainable waste management system. The waste quantity in this region is fast growing, especially food/organic waste. The region should aim at waste management laws and waste reduction strategies, which will help save and produce more food that it really needs. Waste management should be dissociated from epidemic outbreaks like cholera, typhoid, Lassa fever and malaria, whose vectors thrive in filthy environments. Water channels and water bodies should not be waste disposal channels or waste disposal sites.
Breast cancer is the most common cancer among women worldwide and the second most common cause of cancer death in the developed countries. As the current state of the art in first-line drug screenings is highly ineffective, there is an urgent need for novel test systems that allow for reliable predictions of drug sensitivity.
In this study, a tissue engineering approach was used to successfully establish and standardize a 3-dimensional (3D) mamma carcinoma test system that was optimized for the testing of anti-tumour therapies as well as for the investigation of tumour biological issues. This 3D test system is based on the decellularised scaffold of a porcine small intestinal segment and represents the three molecular subsets of oestrogen receptor-positive, HER2/Neu-overexpressing and triple negative breast cancer (TNBC). The characterization of the test system with respect to morphology as well as the expression of markers for epithelial-mesenchymal transition (EMT) and differentiation indicate that the 3D tumour models cultured under static and dynamic conditions reflect tumour relevant features and have a good correlation with in vivo tumour tissue from the corresponding xenograft models. In this respect, the dynamic culture in a flow bioreactor resulted in the generation of tumour models that exhibited best reflection of the morphology of the xenograft material. Furthermore, the proliferation indices of 3D models were significantly reduced compared to 2-dimensional (2D) cell culture and therefore better reflect the in vivo situation. As this more physiological proliferation index prevents an overestimation of the therapeutic effect of cytostatic compounds, this is a crucial advantage of the test system compared to 2D culture. Moreover, it could be shown that the 3D models can recapitulate different tumour stages with respect to tumour cell invasion. The scaffold SISmuc with the preserved basement membrane structure allowed the investigation of invasion over this barrier which tumour cells of epithelial origin have to cross in in vivo conditions during the process of metastasis formation. Additionally, the data obtained from ultrastructural analysis and in situ zymography indicate that the invasion observed is connected to a tumour cell-associated change in the basement membrane in which matrix metalloproteinases (MMPs) are also involved. This features of the model in combination with the mentioned methods of analysis could be used in the future to mechanistically investigate invasive processes and to test anti-metastatic therapy strategies.
The validation of the 3D models as a test system with respect to the predictability of therapeutic effects was achieved by the clinically relevant targeted therapy with the monoclonal antibody trastuzumab which induces therapeutic response only in patients with HER2/Neu-overexpressing mamma carcinomas due to its specificity for HER2. While neither in 2D nor in 3D models of all molecular subsets a clear reduction of cell viability or an increase in apoptosis could be observed, a distinct increase in antibody-dependent cell-mediated cytotoxicity (ADCC) was detected only in the HER2/NEU-overexpressing 3D model with the help of an ADCC reporter gene assay that had been adapted for the application in the 3D model in the here presented work. This correlates with the clinical observations and underlines the relevance of ADCC as a mechanism of action (MOA) of trastuzumab. In order to measure the effects of ADCC on the tumour cells in a direct way without the indirect measurement via a reporter gene, the introduction of an immunological component into the models was required. This was achieved by the integration of peripheral blood mononuclear cells (PBMCs), thereby allowing the measurement of the induction of tumour cell apoptosis in the HER2/Neu-overexpressing model. Hence, in this study an immunocompetent model could be established that holds the potential for further testing of therapies from the emergent field of cancer immunotherapies.
Subsequently, the established test system was used for the investigation of scientific issues from different areas of application. By the comparison of the sensitivity of the 2D and 3D model of TNBC towards the water-insoluble compound curcumin that was applied in a novel nanoformulation or in a DMSO-based formulation, the 3D test system was successfully applied for the evaluation of an innovative formulation strategy for poorly soluble drugs in order to achieve cancer therapy-relevant concentrations. Moreover, due to the lack of targeted therapies for TNBC, the TNBC model was applied for testing novel treatment strategies. On the one hand, therapy with the WEE1 kinase inhibitor MK 1775 was evaluated as a single agent as well as in combination with the chemotherapeutic agent doxorubicin. This therapy approach did not reveal any distinct benefits in the 3D test system in contrast to testing in 2D culture. On the other hand, a novel therapy approach from the field of cellular immunotherapies was successfully applied in the TNBC 3D model. The treatment with T cells that express a chimeric antigen receptor (CAR) against ROR1 revealed in the static as well as in the dynamic model a migration of T cells into the tumour tissue, an enhanced proliferation of T cells as well as an efficient lysis of the tumour cells via apoptosis and therefore a specific anti-cancer effect of CAR-transduced T cells compared to control T cells. These results illustrate that the therapeutic application of CAR T cells is a promising strategy for the treatment of solid tumours like TNBC and that the here presented 3D models are suitable for the evaluation and optimization of cellular immunotherapies.
In the last part of this work, the 3D models were expanded by components of the tumour stroma for future applications. By coculture with fibroblasts, the natural structures of the intestinal scaffold comprising crypts and villi were remodelled and the tumour cells formed tumour-like structures together with the fibroblasts. This tissue model displayed a strong correlation with xenograft models with respect to morphology, marker expression as well as the activation of dermal fibroblasts towards a cancer-associated fibroblast (CAF) phenotype. For the integration of adipocytes which are an essential component of the breast stroma, a coculture with human adipose-derived stromal/stem cells (hASCs) which could be successfully differentiated along the adipose lineage in 3D static as well as dynamic models was established. These models are suitable especially for the mechanistic analysis of the reciprocal interaction between tumour cells and adipocytes due to the complex differentiation process.
Taken together, in this study a human 3D mamma carcinoma test system for application in the preclinical development and testing of anti-tumour therapies as well as in basic research in the field of tumour biology was successfully established. With the help of this modular test system, relevant data can be obtained concerning the efficacy of therapies in tumours of different molecular subsets and different tumour stages as well as for the optimization of novel therapy strategies like immunotherapies. In the future this can contribute to improve the preclinical screening and thereby to reduce the high attrition rates in pharmaceutical industry as well as the amount of animal experiments.
In the „Position Paper of the Division of Clinical Pharmacy of the German Pharmaceutical Society (DPhG)” clinical pharmacy is defined as the science and practice of the rational use of drugs1, which includes the individualization of drug therapy. Clinical pharmacists therefore need a profound knowledge of the pharmacokinetic properties of relevant drugs, and clinical factors that are influencing these properties.
Against the background of individualizing drug therapy, pharmacokinetic and clinical factors are studied in this thesis.
In order to obtain an overview of the existing data on the pharmacokinetics of imipenem / cilastatin and meropenem in critically ill patients, a literature review for each of these carbapenem antibiotics was performed. These reviews included studies in critically ill patients as well as studies in healthy volunteers. While the reported results of studies in healthy volunteers had a small variability, studies in critically ill patients show significant differences in the resulting pharmacokinetics. These differences were not only between, but also within these studies, resulting in a high variability of the pharmacokinetic parameters of the carbapenems in critically ill patients. Furthermore, the results of studies in critically ill patients indicate that clinical factors and in particular renal function have different effects on the pharmacokinetics of imipenem and cilastatin.
A therapeutic drug monitoring (TDM) program for antibiotics was initiated in an intensive care unit. The calculation of the pharmacokinetics of imipenem / cilastatin and meropenem was carried out with a population pharmacokinetic approach (POP-PK) and in addition with a non-compartmental approach (NCA).
The POP-PK analysis showed that the pharmacokinetics of imipenem and cilastatin could be described adequately with a 1-compartment model. The resulting mean total body clearance (CL) of imipenem and cilastatin was 11.6 L/h (4.24 to 27.5) and 6.14 L/h (0.520 to 26.6 L/h). The nonrenal clearance was estimated to be 5.30 L / h (24.9% CV) for imipenem and 0.138 L / h (33.3% CV) for cilastatin.
The results of the NCA were in good agreement with the results of the POP-PK approach, as the NCA resulted in an imipenem clearance of 15.5 ± 7.3 L / hr and cilastatin clearance of 10.1 ± 9.9 L / h. The individual clearances resulting from the different pharmacokinetic approaches were in good correlation showing correlation coefficients (r) of 0.882 (p <0.001) and 0.908 (p <0.001) for imipenem and cilastatin.
In summary, this study identified and quantified significant differences between the individual clearance mechanisms of imipenem and cilastatin. This is particularly true for patients with impaired renal function and sepsis. As imipenem / cilastatin is only available in a fixed dose combination, those patients might be treated inadequately with this combination. The great variability in the pharmacokinetics of imipenem and cilastatin in septic patients underscores the importance of a TDM program of both substances.
For meropenem, a PK/PD model was developed that predicts the concentration gradients of meropenem, serum creatinine, C-reactive protein and procalcitonin simultaneously. A non-linear relationship between the clearance of creatinine and meropenem was identified and the resulting equation for the calculation of the total body clearance of meropenem (for a 70 kg patient) was: 0.480 L/h + 9.86 L/h. (CLCR/6L/h)0.593, with 0.480 L/h representing the nonrenal clearance of meropenem.
The resulting mean meropenem clearance of the NCA was 11.9 ± 8.7 L/h. The individual clearances resulting from the different pharmacokinetic approaches were poorly correlated showing a correlation coefficient (r) of 0.502 (p <0.001).
In summary, this study showed a non-linear relationship of meropenem clearance and creatinine clearance. The model shows that the renal function may change rapidly and to a significant extent in patients with sepsis and septic shock, which in turn, underscores that creatinine concentrations are not in steady state in these patients. Conversely, dose adjustment based on creatinine values might lead to inappropriate therapy. This underlines the importance of a TDM program for meropenem in critically ill patients.
The two most important considerations when choosing an antibiotic for the prophylaxis of postoperative bone infections are its activity against the whole spectrum of bacteria, which might be involved in bone infections, and its ability to penetrate bone tissue and thus to achieve concentrations above the minimum inhibitory concentration (MIC) of the corresponding pathogens.
In order to gain information on this data, a study was conducted which investigated the pharmacokinetics of ampicillin / sulbactam in plasma, cortical and cancellous bone. Pharmacokinetic parameters in plasma were determined using NCA. The bone penetration represents the ratio of the concentration in the bone tissue to plasma concentration at the time of bone removal. The resulting half-life of ampicillin and sulbactam in plasma was 1.60 0.37 h and 1.70 0.42 h. The elimination of both substances was in a good correlation with creatinine clearance and resulted in correlation coefficients (r) of 0.729 (p = 0.003) for ampicillin and 0.699 (p = 0.005) for sulbactam. The mean clearance and the mean volume of distribution of ampicillin and sulbactam were 10.7 3.9 and 10.3 3.3 L/h, and 23.9 7.9 and 24.3 6.8 L. The mean concentrations of ampicillin in the cortical and cancellous bone were 6.60 4.22 and 10.15 7.40 µg/g, resulting in bone penetration ratios of 9.1 5.7 and 16.2 16.9 %. For sulbactam the corresponding concentrations were 3.91 2.52 and 5.73 4.20 µg/g, resulting in bone penetration ratios of 10.6 6.3 and 17.5 16.1 %.
In summary, this study shows that the bone penetration of both substances is on average rather unsatisfactory and has a high variability, which can lead to inadequate bone concentrations for the prophylaxis of bone infections. One factor that could be identified for the penetration of both substances into cancellous bone was the period between the application of the drug and the removal of the bone. Therefore, a time interval between the administration of the antibiotic and the incision should be considered.
Immunosuppression is a risk factor for the development of various malignancies, including hematologic diseases. While the relationship between the use of immunosuppressive therapy with methotrexate and the development of an Epstein-Barr virus (EBV) associated lymphoproliferative disease (LPD) has been well established, this connection is less evident for immunosuppressive therapy with azathioprine.
The patient presented by us was immunosuppressed with azathioprine for autoimmune hepatitis. The development of an EBV-associated Hodgkin-like lymphoma under this immunosuppressive therapy and especially the regression of the lymphoma after cessation of azathioprine confirms the relationship between this immunosuppressant, EBV-infection and the development of Hodgkin-like lymphoma. Therefore, albeit in rare cases, azathioprine-related lymphomas may respond to mere cessation of immunosuppressive therapy without need for chemotherapy.
Apart from viral infections, drugs are a major cause of acute liver failure. Due to the lack of specific symptoms or tests, it is difficult to diagnose a drug-induced liver injury. We report a case of a young patient in whom different antibiotics, the analgesic and antipyretic acetaminophen or a combination of these drugs may have led to DILI resulting in life-threatening ALF. Based on this case report, we describe a procedure to exclude non-drug related causes and discuss the hepatotoxic potential of the involved drugs in this case.
Nowadays, the management of infectious diseases is especially threatened by the rapid emergence of drug resistance. It has been suggested that the medicine quality assurance combined with good medication adherence may help to reduce this impendence. Moreover, the search for new antimicrobial agents from medicinal plants is strongly encouraged for the exploration of alternatives to existing therapies. In this context, the present work focused on both the quality evaluation of commercialized antimalarial medicines from the Democratic Republic of the Congo and on the phytochemical investigations of a Congolese Ancistrocladus species.
Introduction: During inflammation, reactive oxygen species (ROS) such as Hydrogen peroxide accumulate at the inflammation site and by oxidizing lipids, they produce metabolites such as 4-hydroxynonenal (4-HNE) and oxidized phospholipids (OxPLs). Transient receptor potential ankyrin 1 (TRPA1) and vanilloid 1 (TRPV1) are ligand gated ion channels that are expressed on nociceptors and their activation elicits pain. Hydrogen peroxide and 4-HNE are endogenous ligands for TRPA1 and their role in inflammatory pain conditions has been shown. OxPLs play a major pro-inflammatory role in many pathologies including atherosclerosis and multiple sclerosis. E06/T15 is a mouse IgM mAb that specifically binds oxidized phosphatidylcholine. D-4F is an apolipoprotein A-I mimetic peptide with a very high affinity for OxPLs and possess anti-inflammatory properties. E06 mAb and D-4F peptide protect against OxPLs-induced damage in atherosclerosis in vivo.
Methods: To investigate the role of ROS and their metabolites in inflammatory pain, I utilized a combination of diverse and complex behavioral pain measurements and binding assays. I examined E06 mAb and D-4F as local treatment options for hypersensitivity evoked by endogenous and exogenous activators of TRPA1 and TRPV1 as well as in inflammatory and OxPL-induced pain models in vivo. 4-HNE, hydrogen peroxide as ROS source and mustard oil (AITC) were used to activate TRPA1, while capsaicin was used to activate TRPV1.
Results: Intraplantar injection of oxidized 1-palmitoyl-2-arachidonoyl-sn-glycero-3-phosphocholine (OxPAPC) into rats’ hind paw elicited thermal and mechanical hypersensitivity. Genetic and pharmacological evidence in vivo confirmed the role of TRPA1 in OxPLs-induced hypersensitivity. OxPLs formation increased in complete Freund’s adjuvant (CFA)-induced inflamed rats’ paw. E06 mAb and D-4F prevented OxPAPC–induced mechanical and thermal hypersensitivity (hyperalgesia) as well as CFA-induced mechanical hypersensitivity. Also, all irritants induced thermal and mechanical hypersensitivity as well as affective-emotional responses and spontaneous nocifensive behaviors. E06 mAb blocked prolonged mechanical hypersensitivity by all but hydrogen peroxide. In parallel, D-4F prevented mechanical hypersensitivity induced by all irritants as well as thermal hypersensitivity induced by capsaicin and 4-HNE. In addition, competitive binding assays showed that all TRPA1/V1 agonists induced prolonged formation of OxPLs in the paw tissue explaining the anti-nociceptive properties of E06 mAb and D-4F. Finally, the potential of gait analysis as a readout for non-provoked pain behavioral measurements were examined.
Conclusion and implications: OxPLs were characterized as novel targets in inflammatory pain. Treatment with the monoclonal antibody E06 or apolipoprotein A-I mimetic peptide D-4F are suggested as potential inflammatory pain medications. OxPLs’ role in neuropathic pain is yet to be investigated.
With the introduction of Software-defined Networking (SDN) in the late 2000s, not only a new research field has been created, but a paradigm shift was initiated in the broad field of networking. The programmable network control by SDN is a big step, but also a stumbling block for many of the established network operators and vendors. As with any new technology the question about the maturity and the productionreadiness of it arises. Therefore, this thesis picks specific features of SDN and analyzes its performance, reliability, and availability in scenarios that can be expected in production deployments.
The first SDN topic is the performance impact of application traffic in the data plane on the control plane. Second, reliability and availability concerns of SDN deployments are exemplary analyzed by evaluating the detection performance of a common SDN controller. Thirdly, the performance of P4, a technology that enhances SDN, or better its impact of certain control operations on the processing performance is evaluated.
Morphological and Functional Ultrashort Echo Time (UTE) Magnetic Resonance Imaging of the Human Lung
(2019)
In this thesis, a 3D Ultrashort echo time (3D-UTE) sequence was introduced in the Self-gated Non-Contrast-Enhanced Functional Lung Imaging (SENCEFUL) framework. The sequence was developed and implemented on a 3 Tesla MR scanner. The 3D-UTE technique consisted of a nonselective RF pulse followed by a koosh ball quasi-random sampling order of the k-space. Measurements in free-breathing and without contrast agent were performed in healthy subjects and a patient with lung cancer.
A gating technique, using a combination of different coils with high signal correlation, was evaluated in-vivo and compared with a manual approach of coil selection. The gating signal offered an estimation of the breathing motion during measurement and was used as a reference to segment the acquired data into different breathing phases.
Gradient delays and trajectory errors were corrected during post-processing using the Gradient Impulse Response Function. Iterative SENSE was then applied to determine the fully sampled data.
In order to eliminate signal changes caused by motion, a 3D image registration was employed, and the results were compared to a 2D image registration method.
Ventilation was assessed in 3D and regionally quantified by monitoring the signal changes in the lung parenchyma. Finally, image quality and quantitative ventilation values were compared to the standard 2D-SENCEFUL technique.
3D-UTE, combined with an automatic gating technique and SENCEFUL MRI, offered ventilation maps with high spatial resolution and SNR. Compared to the 2D method, UTE-SENCEFUL greatly improved the clinical quality of the structural images and the visualization of the lung parenchyma.
Through‐plane motion, partial volume effects and ventilation artifacts were also reduced with a three-dimensional method for image registration.
UTE-SENCEFUL was also able to quantify regional ventilation and presented similar results to previous studies.
Myocardial infarction (MI) is a major cause of health problems and is among the leading deadly ending diseases. Accordingly, regenerating functional myocardial tissue and/or cardiac repair by stem cells is one of the most desired aims worldwide. Indeed, the human heart serves as an ideal target for regenerative intervention, because the capacity of the adult myocardium to restore itself after injury or infarct is limited. Thus, identifying new sources of tissue resident adult stem or progenitor cells with cardiovascular potential would help to establish more sophisticated therapies in order to either prevent cardiac failure or to achieve a functional repair. Ongoing research worldwide in this field is focusing on a) induced pluripotent stem (iPS) cells, b) embryonic stem (ES) cells and c) adult stem cells (e. g. mesenchymal stem cells) as well as cardiac fibroblasts or myofibroblasts. However, thus far, these efforts did not result in therapeutic strategies that were transferable into the clinical management of MI and heart failure. Hence, identifying endogenous and more cardiac-related sources of stem cells capable of differentiating into mature cardiomyocytes would open promising new therapeutic opportunities. The working hypothesis of this thesis is that the vascular wall serves as a niche for cardiogenic stem cells. In recent years, various groups have identified different types of progenitors or mesenchymal stem cell-like cells in the adventitia and sub-endothelial zone of the adult vessel wall, the so called vessel wall-resident stem cells (VW-SCs). Considering the fact that heart muscle tissue contains blood vessels in very high density, the physiological relevance of VW-SCs for the myocardium can as yet only be assumed. The aim of the present work is to study whether a subset of VW-SCs might have the capacity to differentiate into cardiomyocyte-like cells. This assumption was challenged using adult mouse aorta-derived cells cultivated in different media and treated with selected factors. The presented results reveal the generation of spontaneously beating cardiomyocyte-like cells using specific media conditions without any genetic manipulation. The cells reproducibly started beating at culture days 8-10. Further analyses revealed that in contrast to several publications reporting the Sca-1+ cells as cardiac progenitors the Sca-1- fraction of aortic wall-derived VW-SCs reproducibly delivered beating cells in culture. Similar to mature cardiomyocytes the beating cells developed sarcomeric structures indicated by the typical cross striated staining pattern upon immunofluorescence analysis detecting α-sarcomeric actinin (α-SRA) and electron microscopic analysis. These analyses also showed the formation of sarcoplasmic reticulum which serves as calcium store. Correspondingly, the aortic wall-derived beating cardiomyocyte-like cells (Ao-bCMs) exhibited calcium oscillations. This differentiation seems to be dependent on an inflammatory microenvironment since depletion of VW-SC-derived macrophages by treatment with clodronate liposomes in vitro stopped the generation of Ao bCMs. These locally generated F4/80+ macrophages exhibit high levels of VEGF (vascular endothelial growth factor). To a great majority, VW-SCs were found to be positive for VEGFR-2 and blocking this receptor also stopped the generation VW-SC-derived beating cells in vitro. Furthermore, the treatment of aortic wall-derived cells with the ß-receptor agonist isoproterenol or the antagonist propranolol resulted in a significant increase or decrease of beating frequency. Finally, fluorescently labeled aortic wall-derived cells were implanted into the developing chick embryo heart field where they became positive for α-SRA two days after implantation. The current data strongly suggest that VW-SCs resident in the vascular adventitia deliver both progenitors for an inflammatory microenvironment and beating cells. The present study identifies that the Sca-1- rather than Sca-1+ fraction of mouse aortic wall-derived cells harbors VW-SCs differentiating into cardiomyocyte-like cells and reveals an essential role of VW-SCs-derived inflammatory macrophages and VEGF-signaling in this process. Furthermore, this study demonstrates the cardiogenic capacity of aortic VW-SCs in vivo using a chimeric chick embryonic model.
This dissertation consists of three contributions. Each addresses one specific aspect of intergenerational income mobility and is intended to be a stand-alone analysis. All chapters use comparable data for Germany and the United States to conduct country comparisons. As there are usually a large number of studies available for the United States, this approach is useful for comparing the empirical results to the existing literature.
The first part conducts a direct country comparison of the structure and extent of intergenerational income mobility in Germany and the United States. In line with existing results, the estimated intergenerational income mobility of 0.49 in the United States is significantly higher than that of 0.31 in Germany. While the results for the intergenerational rank mobility are relatively similar, the level of intergenerational income share mobility is higher in the United States than in Germany. There are no significant indications of a nonlinear run of intergenerational income elasticity. A final decomposition of intergenerational income inequality shows both greater income mobility and stronger progressive income growth for Germany compared to the United States. Overall, no clear ranking of the two countries can be identified. To conclude, several economic policy recommendations to increase intergenerational income mobility in Germany are discussed.
The second part examines the transmission channels of intergenerational income persistence in Germany and the United States. In principle, there are two ways in which well-off families may influence the adult incomes of their children: first through direct investments in their children's human capital (investment effect ), and second through the indirect transmission of human capital from parents to children (endowment effect ). In order to disentangle these two effects, a descriptive as well as a structural decomposition method are utilized. The results suggest that the investment effect and the endowment effect each account for approximately half of the estimated intergenerational income elasticity in Germany, while the investment effect is substantially more influential in the United States with a share of around 70 percent. With regard to economic policy, these results imply that equality of opportunity for children born to poor parents cannot be reached by the supply of financial means alone. Conversely, an efficient policy must additionally substitute for the missing direct transmission of human capital within socio-economically weak families.
The third part explicitly focuses on the intergenerational income mobility among daughters. The restriction to men is commonly made in the empirical literature due to women‘s lower labor market participation. While most men work full-time, the majority of (married) women still work only part-time or not at all. Especially with the occurrence of assortative mating, daughters from well-off families are likely to marry rich men and might decide to reduce their labor supply as a result. Thus, the individual labor income of a daughter might not be a good indicator for her actual economic status. The baseline regression analysis shows a higher intergenerational income elasticity in Germany and a lower intergenerational income elasticity in the United States for women as compared to men. However, a separation by marital status reveals that in both countries unmarried women exhibit a higher intergenerational income elasticity than unmarried men, while married women feature a lower intergenerational income elasticity than married men. The reason for the lower mobility of unmarried women turns out to be a stronger human capital transmission from fathers to daughters than to sons. The higher mobility of married women is driven by a weaker human capital transmission and a higher labor supply elasticity with respect to spousal income for women as compared to men. In order to further study the effects of assortative mating, the subsample of married children is analyzed by different types of income. It shows that the estimated intergenerational income elasticity of children's household incomes is even higher than that of their individual incomes. This can be seen as an indication for strong assortative mating. If household income is interpreted as a measure of children‘s actual economic welfare, there are barely any differences between sons and daughters. The intergenerational income elasticity of spousal income with respect to parental income is again relatively high, which in turn supports the hypothesis of strong assortative mating. The elasticity of the sons-in-law with respect to their fathers-in-law in Germany is even higher than that of the sons with respect to their own fathers.
Non-steroidal antiinflammatory drugs are most commonly used for inflammatory and postoperative pain. But they lack effectiveness and specificity, leading to severe side effects, like gastric ulcers, asthma and severe bleeding. Oxidized 1-palmitoyl-2-arachinidonoyl-sn-glycero-3-phosphocholine (OxPAPC) plays an important role in inflammatory pain. PAPC is a common phosphatidylcholine of membranes, which can be oxidized by reactive oxygen species. In preliminary experiments, our group found that local injection of OxPAPC in rat paws induces hyperalgesia.
In this study we examined the effect of OxPAPC on transient receptor potential A1 (TRPA1), an ion channel expressed in C-fiber neurons. Furthermore, we investigated if intracellular cysteine residues of TRPA1 were necessary for agonist-channel-interactions and if a subsequent TRPA1 activation could be prevented by OxPAPC scavengers.
To answer these questions, we performed calcium imaging using HEK-293 cells stably expressing hTRPA1, or transiently expressing the triple mutant channel hTRPA1-3C and naïve DRG neurons. Cells were incubated with the ratiometric, fluorescent dye Fura-2/AM and stimulated with OxPAPC. The change of light emission after excitation with 340 and 380 nm wavelengths allowed conclusions regarding changes of intracellular calcium concentrations after TRPA1 activation.
In our investigation we proved evidence that OxPAPC activates TRPA1, which caused a flow of calcium ions into the cytoplasm. The TRPA1-specific channel blocker HC-030031 eliminated this agonist-induced response. TRPA1-3C was not completely sensitive to OxPAPC. The peptide D-4F and the monoclonal antibody E06 neutralized OxPAPC-induced TRPA1 activation.
In this work, the importance of OxPAPC as a key mediator of inflammatory pain and as a promising target for drug design is highlighted. Our results indicate that TRPA1 activation by OxPAPC involves cysteine-dependent mechanisms, but there are other, cysteine-independent activation mechanisms as well. Potential pharmaceuticals for the treatment of inflammatory pain are D-4F and E06, whose efficiency has recently been confirmed in the animal model by our research group.
Protein kinase D1 deletion in adipocytes enhances energy dissipation and protects against adiposity
(2019)
Adaptation to alterations in nutrient availability ensures the survival of organisms. In vertebrates, adipocytes play a decisive role in this process due to their ability to store large amounts of excess nutrients and release them in times of food deprivation. In todays western world, a rather unlimited excess of nutrients leads to high-caloric food consumption in humans. Nutrient overload together with a decreased energy dissipation result in obesity as well as associated diseases such as insulin resistance, diabetes, and liver steatosis. Obesity causes a hormonal imbalance, which in combination with altered nutrient levels can aberrantly activate G-protein coupled receptors utilizing diacylglycerol (DAG) as secondary messenger. Protein kinase D (PKD) 1 is a DAG effector integrating multiple hormonal and nutritional inputs. Nevertheless, its physiological role in adipocytes has not been investigated so far. In this thesis, evidence is provided that the deletion of PKD1 in adipocytes suppresses lipogenesis as well as the accumulation of triglycerides. Furthermore, PKD1 depletion results in increased mitochondrial biogenesis as well as decoupling activity. Moreover, PKD1 deletion promotes the expression of the β3-adrenergic receptor (ADRB3) in a CCAAT/enhancer-binding protein (C/EBP)-α and δ-dependent manner. This results in elevated expression levels of beige markers in adipocytes in the presence of a β-agonist. Contrarily, adipocytes expressing a constitutive active form of PKD1 present a reversed phenotype. Additionally, PKD1 regulates adipocyte metabolism in an AMP-activated protein kinase (AMPK)-dependent manner by suppressing its activity through phosphorylation of AMPK α1/α2 subunits. Thus, PKD1 deletion results in an enhanced activity of the AMPK complex. Consistent with the in vitro findings, mice lacking PKD1 in adipocytes demonstrate a resistance to high-fat diet-induced obesity due to an elevated energy expenditure caused by trans-differentiation of white into beige adipocytes. Moreover, deletion of PKD1 in murine adipocytes improves systemic insulin sensitivity and ameliorates liver steatosis. Finally, PKD1 levels positively correlate with HOMA-IR as well as insulin levels in human subjects. Furthermore, inhibition of PKD1 in human adipocytes leads to metabolic alterations, which are comparable to the alterations seen in their murine counterparts. Taken together, these data demonstrate that PKD1 suppresses energy dissipation, drives lipogenesis, and adiposity. Therefore, increased energy dissipation induced by several complementary mechanisms upon PKD1 deletion might represent an attractive strategy to treat obesity and its related complications.
Behavioral adaptation to environmental changes is crucial for animals’ survival. The prediction of the outcome of one owns action, like finding reward or avoiding punishment, requires recollection of past experiences and comparison with current situation, and adjustment of behavioral responses. The process of memory acquisition is called learning, and the Drosophila larva came up to be an excellent model organism for studying the neural mechanisms of memory formation. In Drosophila, associative memories are formed, stored and expressed in the mushroom bodies. In the last years, great progress has been made in uncovering the anatomical architecture of these brain structures, however there is still a lack of knowledge about the functional connectivity.
Dopamine plays essential roles in learning processes, as dopaminergic neurons mediate information about the presence of rewarding and punishing stimuli to the mushroom bodies. In the following work, the function of a newly identified anatomical connection from the mushroom bodies to rewarding dopaminergic neurons was dissected. A recurrent feedback signaling within the neuronal network was analyzed by simultaneous genetic manipulation of the mushroom body Kenyon cells and dopaminergic neurons from the primary protocerebral anterior (pPAM) cluster, and learning assays were performed in order to unravel the impact of the Kenyon cells-to-pPAM neurons feedback loop on larval memory formation.
In a substitution learning assay, simultaneous odor exposure paired with optogenetic activation of Kenyon cells in fruit fly larvae in absence of a rewarding stimulus resulted in formation of an appetitive memory, whereas no learning behavior was observed when pPAM neurons were ablated in addition to the KC activation. I argue that the activation of Kenyon cells may induce an internal signal that mimics reward exposure by feedback activation of the rewarding dopaminergic neurons. My data further suggests that the Kenyon cells-to-pPAM communication relies on peptidergic signaling via short neuropeptide F and underlies memory stabilization.
This publication is dedicated to investigate strong light-matter coupling with excitons in 2D materials. This work starts with an introduction to the fundamentals of excitons in 2D materials, microcavities and strong coupling in chapter 2. The experimental methods used in this work are explained in detail in chapter 3. Chapter 4 covers basic investigations that help to select appropriate materials and cavities for the following experiments. In chapter 5, results on the formation of exciton-polaritons in various materials and cavity designs are presented. Chapter 6 covers studies on the spin-valley properties of exciton-polaritons including effects such as valley polarization, valley coherence and valley-dependent polariton propagation. Finally, the formation of hybrid-polaritons and their condensation are presented in chapter 7.
Motivated by the great potential which is offered by the combination of additive manufacturing and tissue engineering, a novel polymeric bioink platform based on poly(2 oxazoline)s was developed which might help to further advance the young and upcoming field of biofabrication. In the present thesis, the synthesis as well as the characteristics of several diblock copolymers consisting of POx and POzi have been investigated with a special focus on their suitability as bioinks.
In general, the copolymerization of 2-oxazolines and 2-oxazines bearing different alkyl side chains was demonstrated to yield polymers in good agreement with the degree of polymerization aimed for and moderate to low dispersities.
For every diblock copolymer synthesized during the present study, a more or less pronounced dependency of the dynamic viscosity on temperature could be demonstrated. Diblock copolymers comprising a hydrophilic PMeOx block and a thermoresponsive PnPrOzi block showed temperature induced gelation above a degree of polymerization of 50 and a polymer concentration of 20 wt%. Such a behavior has never been described before for copolymers solely consisting of poly(cyclic imino ether)s.
Physically cross linked hydrogels based on POx b POzi copolymers exhibit reverse thermal gelation properties like described for solutions of PNiPAAm and Pluronic F127. However, by applying SANS, DLS, and SLS it could be demonstrated that the underlying gel formation mechanism is different for POx b POzi based hydrogels. It appears that polymersomes with low polydispersity are formed already at very low polymer concentrations of 6 mg/L. Increasing the polymer concentration resulted in the formation of a bicontinuous sponge like structure which might be formed due to the merger of several vesicles. For longer polymer chains a phase transition into a gyroid structure was postulated and corresponds well with the observed rheological data.
Stable hydrogels with an unusually high mechanical strength (G’ ~ 4 kPa) have been formed above TGel which could be adjusted over a range of 20 °C by changing the degree of polymerization if maintaining the symmetric polymer architecture. Variations of the chain ends revealed only a minor influence on TGel whereas the influence of the solvent should not be neglected as shown by a comparison of cell culture medium and MilliQ water.
Rotationally as well as oscillatory rheological measurements revealed a high suitability for printing as POx b POzi based hydrogels exhibit strong shear thinning behavior in combination with outstanding recovery properties after high shear stress.
Cell viability assays (WST-1) of PMeOx b PnPrOzi copolymers against NIH 3T3 fibroblasts and HaCat cells indicated that the polymers were well tolerated by the cells as no dose-dependent cytotoxicity could be observed after 24 h at non-gelling concentrations up to 100 g/L.
In summary, copolymers consisting of POx and POzi significantly increased the accessible range of properties of POx based materials. In particular thermogelation of aqueous solutions of diblock copolymers comprising PMeOx and PnPrOzi was never described before for any copolymer consisting solely of POx or POzi. In combination with other characteristics, e.g. very good cytocompatibility at high polymer concentrations and comparably high mechanical strength, the formed hydrogels could be successfully used for 3D bioprinting. Although the results appear promising and the developed hydrogel is a serious bioink candidate, competition is tough and it remains an open question which system or systems will be used in the future.
The aim of this thesis was to develop new automatic enhanced sampling methods by extending the idea of Parrinello’s metadynamics to multistate problems and by introducing new quantum-mechanical electronic collective variables. These methods open up a rich perspective for applications to the photophysical processes in complex molecular systems, which play a major role in many natural processes such as vision and photosynthesis, but also in the development of new materials for organic electronics, whose function depends on specific electronic properties such as biradicalicity.
The plasma membrane is one of the most thoroughly studied and at the same time most complex, diverse, and least understood cellular structures. Its function is determined by the molecular composition as well as the spatial arrangement of its components. Even after decades of extensive membrane research and the proposal of dozens of models and theories, the structural organization of plasma membranes remains largely unknown. Modern imaging tools such as super-resolution fluorescence microscopy are one of the most efficient techniques in life sciences and are widely used to study the spatial arrangement and quantitative behavior of biomolecules in fixed and living cells. In this work, direct stochastic optical reconstruction microscopy (dSTORM) was used to investigate the structural distribution of mem-brane components with virtually molecular resolution. Key issues are different preparation and staining strategies for membrane imaging as well as localization-based quantitative analyses of membrane molecules.
An essential precondition for the spatial and quantitative analysis of membrane components is the prevention of photoswitching artifacts in reconstructed localization microscopy images. Therefore, the impact of irradiation intensity, label density and photoswitching behavior on the distribution of plasma membrane and mitochondrial membrane proteins in dSTORM images was investigated. It is demonstrated that the combination of densely labeled plasma membranes and inappropriate photoswitching rates induces artificial membrane clusters. Moreover, inhomogeneous localization distributions induced by projections of three-dimensional membrane structures such as microvilli and vesicles are prone to generate artifacts in images of biological membranes. Alternative imaging techniques and ways to prevent artifacts in single-molecule localization microscopy are presented and extensively discussed.
Another central topic addresses the spatial organization of glycosylated components covering the cell membrane. It is shown that a bioorthogonal chemical reporter system consisting of modified monosaccharide precursors and organic fluorophores can be used for specific labeling of membrane-associated glycoproteins and –lipids. The distribution of glycans was visualized by dSTORM showing a homogeneous molecule distribution on different mammalian cell lines without the presence of clusters. An absolute number of around five million glycans per cell was estimated and the results show that the combination of metabolic labeling, click chemistry, and single-molecule localization microscopy can be efficiently used to study cell surface glycoconjugates.
In a third project, dSTORM was performed to investigate low-expressing receptors on cancer cells which can act as targets in personalized immunotherapy. Primary multiple myeloma cells derived from the bone marrow of several patients were analyzed for CD19 expression as potential target for chimeric antigen receptor (CAR)-modified T cells. Depending on the patient, 60–1,600 CD19 molecules per cell were quantified and functional in vitro tests demonstrate that the threshold for CD19 CAR T recognition is below 100 CD19 molecules per target cell. Results are compared with flow cytometry data, and the important roles of efficient labeling and appropriate control experiments are discussed.
The Software Defined Networking (SDN) paradigm offers network operators numerous improvements in terms of flexibility, scalability, as well as cost efficiency and vendor independence. However, in order to maximize the benefit from these features, several new challenges in areas such as management and orchestration need to be addressed. This dissertation makes contributions towards three key topics from these areas.
Firstly, we design, implement, and evaluate two multi-objective heuristics for the SDN controller placement problem. Secondly, we develop and apply mechanisms for automated decision making based on the Pareto frontiers that are returned by the multi-objective optimizers. Finally, we investigate and quantify the performance benefits for the SDN control plane that can be achieved by integrating information from external entities such as Network Management Systems (NMSs) into the control loop. Our evaluation results demonstrate the impact of optimizing various parameters of softwarized networks at different levels and are used to derive guidelines for an efficient operation.
In this work, we elucidated recombination kinetics in organic and hybrid semiconductors by steady-state and time-resolved PL spectroscopy. Using these simple and very flexible experimental techniques, we probed the infrared emission from recombining free charge carriers in metal–halide perovskites, as well as the deep blue luminescence from intramolecular charge-transfer states in novel OLED emitters. We showed that similar state diagrams and kinetic models accurately describe the dynamics of excited species in these very different material systems.
In Chapters 4 and 5, we focused on lead iodide perovskites (MAPI and FAPI), whose comparatively developed deposition techniques suited the systematic material research. In MAPI, we harnessed the anomalous dependence of transient PL on the laser repetition rate in order to investigate the role of interfaces with the commonly used charge-selective layers: PC60BM, spiro-MeOTAD, and P3HT. The film was deposited on a large precut substrate and separated into several parts, which were then covered with the charge-selective layers. Thereby, the same bulk perovskite structure was maintained for all samples. Consequently, we were able to isolate interface-affected and bulk carrier recombination. The first one dominated the fast component of PL decay up to 300 ns, whereas the last was assigned to the remaining slow component. The laser repetition rate significantly prolonged PL decay in MAPI with additional interfaces while shortening the charge carrier lifetime in the pristine film. We qualitatively explained this effect by a kinetic model that included radiative electron–hole recombination and nonradiative trap-assisted recombination. All in all, we showed that the apparent PL lifetime in MAPI is to large extend defined by the laser repetition rate and by the adjacent interfaces.
Further, we studied photon recycling in MAPI and FAPI. We monitored how the microscopic PL transforms while propagating through the thin perovskite film. The emission was recorded within 5orders of magnitude in intensity up to 70μm away from the excitation spot. The Beer–Lambert law previously failed to describe the complex interplay of the intrinsic PL spectrum and the additional red-shifted peak. Therefore, we developed a general numerical model that accounts for self-absorption and diffusion of the secondary charge carriers. A simulation based on this model showed excellent agreement with the experimental spatially resolved PL maps. The proposed model can be applied to any perovskite film, because it uses easily measurable intrinsic PL spectrum and macroscopic absorption coefficient as seeding parameters.
In Chapter 6, we conducted an extensive photophysical study of a novel compact deep blue OLED emitter, SBABz4, containing spiro-biacridine and benzonitrile units. We also considered its single-donor monomer counterpart, DMABz4, in order to highlight the structure–property relationships. Both compounds exhibited thermally activated delayed fluorescence (TADF), which was independently proven by oxygen quenching and temperature-dependent transient PL measurements. The spiro-linkage in the double-donor core of SBABz4 rendered its luminescence pure blue compared to the blue-green emission from the single-donor DMABz4. Thus, the core-donor provided desirable color tuning in the deep blue region, as opposed to the common TADF molecular design with core-acceptor. Using PL lifetimes and efficiencies, we predicted EQEmax = 7.1% for SBABz4-based OLED, whereas a real test device showed EQEmax = 6.8%. Transient PL was recorded from the solutions and solid films in the unprecedentedly broad dynamic range covering up to 6orders of magnitude in time and 8orders of magnitude in intensity. The stretched exponent was shown to fit the transient PL in the films very well, whereas PL decay in dilute solution was found purely exponential. When the emitter was embedded in the host matrix that prevented aggregation, its TADF properties were superior in comparison with the pure SBABz4 film. Finally, using temperature-dependent transient PL data, we calculated the TADF activation energy of 70 meV.
To sum up, this Thesis contributes to the two fascinating topics of the last decade’s material research: perovskite absorbers for photovoltaics and TADF emitters for OLEDs. We were lucky to work with the emerging systems and tailor for them new models out of the well-known physical concepts. This was both exciting and challenging. In the end, science of novel materials is always a mess. We hope that we brought there a bit of clarity and light.
Articular cartilage lesions that occur upon intensive sport, trauma or degenerative disease represent a severe therapeutic problem. At present, osteoarthritis is the most common joint disease worldwide, affecting around 10% of men and 18% of women over 60 years of age (302). The poor self-regeneration capacity of cartilage and the lack of efficient therapeutic treatment options to regenerate durable articular cartilage tissue, provide the rationale for the development of new treatment options based on cartilage tissue engineering approaches (281). The integrated use of cells, biomaterials and growth factors to guide tissue development has the potential to provide functional substitutes of lost or damaged tissues (2,3). For the regeneration of cartilage, the availability of mesenchymal stromal cells (MSCs) or their recruitment into the defect site is fundamental (281). Due to their high proliferation capacity, the possibility to differentiate into chondrocytes and their potential to attract other progenitor cells into the defect site, bone marrow-derived mesenchymal stromal cells (BMSCs) are still regarded as an attractive cell source for cartilage tissue engineering (80). However, in order to successfully engineer cartilage tissue, a better understanding of basic principles of developmental processes and microenvironmental cues that guide chondrogenesis is required.
Wilms tumor (WT) is the most common kidney cancer in childhood. It is a genetically heterogeneous tumor and several genetic alterations have been identified in WT patients. Recurrent mutations were found in the homeo-domain of SIX1 and SIX2 in high proliferative tumors (18.1% of the blastemal-type tumors) as well as in the microprocessor genes DROSHA and DGCR8 (18.2% of the blastemal-type tumors), indicating a critical role of the SIX-SALL pathway and aberrant miRNA processing in WT formation. Underlined by the fact that a significant overlap between mutations in DROSHA and SIX1 was found, indicating a synergistic effect.
To characterize the in vivo role of DROSHA and SIX mutations during kidney development and their oncogenic potential, I analyzed mouse lines with either a targeted deletion of Drosha or an inducible expression of human DROSHA or SIX1 carrying a tumor-specific E1147K or Q177R mutation, respectively.
The DROSHA mutation E1147K was predicted to act in a dominant negative manner. Six2-cre mediated deletion of Drosha in nephron progenitors led to a lethal phenotype with apoptotic loss of progenitor cells and early termination of nephrogenesis. Mosaic deletions via Wt1-creERT2 resulted in a milder phenotype with viable offspring that developed proteinuria after 2-4 weeks, but no evidence of tumor formation. Activation of the DROSHA-E1147K transgene via Six2-cre, on the other hand, induced a more severe phenotype with apoptosis of progenitor cells, proteinuria and glomerular sclerosis. The severely growth-retarded mice died within the first two months. This strong phenotype was consistent with the predicted dominant-negative effect of DROSHA-E1147K.
Analysis of the SIX1-Q177R mutation suggested that the mutation leads to a shift in DNA binding specificity instead of a complete loss of DNA binding. This may end up in subtle changes of the gene regulatory capacity of SIX1. Six2-cre mediated activation of SIX1-Q177R lead to a viable phenotype with no alterations or shortened life span. Yet a global activation of SIX1-Q177R mediated by Zp3-cre resulted in bilateral hydronephrosis and juvenile death of the mice.
To mimic the synergistic effect of DROSHA and SIX1 mutations, I generated compound mutants in two combinations: A homozygous deletion of Drosha combined with an activation of SIX1-Q177R and a compound mutant with activation of DROSHA-E1147K and SIX1-Q177R. Each mouse model variant displayed new phenotypical alterations. Mice with Six2-cre mediated homozygous deletion of Drosha and activation of SIX1-Q177R were not viable, yet heterozygous deletion of Drosha and activation of SIX1-Q177R led to hydronephrosis, proteinuria and an early death around stage P28. Combined activation of DROSHA-E1147K and SIX1-Q177R under Six2-cre resulted in proteinuria, glomerulosclerosis and lesions inside the kidney. These mice also suffered from juvenile death. Both mouse models could confirm the predicted synergistic effect.
While these results underscore the importance of a viable self-renewing progenitor pool for kidney development, there was no evidence of tumor formation. This suggests that either additional alterations in mitogenic or antiapoptotic pathways are needed for malignant transformation, or premature loss of a susceptible target cell population and early lethality prevent WT formation.
Development and proof of concept of a biological vascularized cell‐based drug delivery system
(2019)
A major therapeutic challenge is the increasing incidence of chronic disorders.
The persistent impairment or loss of tissue function requires constitutive on‐demand
drug availability optimally achieved by a drug delivery system ideally directly connected
to the blood circulation of the patient. However, despite the efforts and achievements in
cell‐based therapies and the generation of complex and customized cell‐specific
microenvironments, the generation of functional tissue is still unaccomplished.
This study demonstrates the capability to generate a vascularized platform technology to
potentially overcome the supply restraints for graft development and clinical application
with immediate anastomosis to the blood circulation.
The ability to decellularize segments of the rat intestine while preserving the ECM for
subsequent reendothelialization was proven. The reestablishment of a functional
arteriovenous perfusion circuit enabled the supply of co‐cultured cells capable to replace
the function of damaged tissue or to serve as a drug delivery system. During in vitro
studies, the applicability of the developed miniaturized biological vascularized scaffold
(mBioVaSc‐TERM®) was demonstrated. While indicating promising results in short term
in vivo studies, long term implantations revealed current limitations for the translation
into clinical application. The gained insights will impact further improvements of quality
and performance of this promising platform technology for future regenerative therapies.
Active Galactic Nuclei (AGNs) are among the most powerful and most intensively studied objects in the Universe. AGNs harbor a mass accreting supermassive black hole (SMBH) in their center and emit radiation throughout the entire electromagnetic spectrum. About 10% show relativistic particle outflows, perpendicular to the so-called accretion disk, which are known as jets. Blazars, a subclass of AGN with jet orientations close to the line-of-sight of the observer, are highly variable sources from radio to TeV energies and dominate the γ- ray sky. The overall observed broadband emission of blazars is characterized by two distinct emission humps. While the low-energy hump is well described by synchrotron radiation of relativistic electrons, both leptonic processes such as inverse Compton scattering and hadronic processes such as pion-photoproduction can explain the radiation measured in the high-energy hump. Neutrinos, neutral, nearly massless particles, which only couple to the weak force 1 are exclusively produced in hadronic interactions of protons accelerated to relativistic energies. The detection of a high-energy neutrino from an AGN would provide an irrefutable proof of hadronic processes happening in jets. Recently, the IceCube neutrino observatory, located at the South Pole with a total instrumented volume of about one km 3 , provided evidence for a diffuse high-energy neutrino flux. Since the atmospheric neutrino spectrum falls steeply with energy, individual events with the clearest signature of coming from an extraterrestrial origin are those at the highest energies. These events are uniformly distributed over the entire sky and are therefore most likely of extragalactic nature. While the neutrino event (known as “BigBird”) with a reconstructed energy of ∼ 2 PeV has already been detected in temporal and spatial agreement with a single blazar in an active phase, still, the chance coincidence for such an association is only on the order of ∼ 5%. The neutrino flux at these high energies is low, so that even the brightest blazars only yield a Poisson probability clearly below unity. Such a small probability is in agreement with the observed all-sky neutrino flux otherwise, the sky would already be populated with numerous confirmed neutrino point sources. In neutrino detectors, events are typically detected in two different signatures 2 . So-called shower-like electron neutrino events produce a large particle cascade, which leads to a pre- cise energy measurement, but causes a large angular uncertainty. Track-like muon neutrino events, however, only produce a single trace in the detector, leading to a precise localization but poor energy reconstruction. The “BigBird” event was a shower-like neutrino event, tem- porally coincident with an activity phase of the blazar PKS 1424−418, lasting several months. Shower-like neutrino events typically lead to an angular resolution of ∼ 10 ◦ , while track-like events show a localization uncertainty of only ∼ 1 ◦ . Considering the potential detection of a track-like neutrino event in agreement with an activity phase of a single blazar lasting only days would significantly decrease the chance coincidence of such an association. In this thesis, a sample of bright blazars, continuously monitored by Fermi/LAT in the MeV to GeV regime, is considered as potential neutrino candidates. I studied the maximum possible neutrino ex- pectation of short-term blazar flares with durations of days to weeks, based on a calorimetric argumentation. I found that the calorimetric neutrino output of most short-term blazar flares is too small to lead to a substantial neutrino detection. However, for the most extreme flares, Poisson probabilities of up to ∼ 2% are reached, so that the possibility of associated neutrino detections in future data unblindings of IceCube and KM3NeT seems reasonable. On 22 September 2017, IceCube detected the first track-like neutrino event (named IceCube- 170922A) coincident with a single blazar in an active phase. From that time on, the BL Lac object TXS 0506+056 was subject of an enormous multiwavelength campaign, revealing an en- hanced flux state at the time of the neutrino arrival throughout several different wavelengths. In this thesis, I first studied the long-term flaring behavior of TXS 0506+056, using more than nine years of Fermi/LAT data. I found that the activity phase in the MeV to GeV regime already started in early 2017, months before the arrival of IceCube-170922A. I performed a calorimetric analysis on a 3-day period around the neutrino arrival time and found no sub- stantial neutrino expectation from such a short time range. By computing the calorimetric neutrino prediction for the entire activity phase of TXS 0506+056 since early 2017, a possible association seems much more likely. However, the post-trial corrected chance coincidence for a long-term association between IceCube-170922A and the blazar TXS 0506+056 is on the level of ∼ 3.5 σ, establishing TXS 0506+056 as the most promising neutrino point source candidate in the scientific community. Another way to explain a high-energy neutrino signal without an observed astronomical counterpart, would be the consideration of blazars at large cosmological distances. These high-redshift blazars are capable of generating the observed high-energy neutrino flux, while their γ-ray emission would be efficiently downscattered by Extragalactic Background Light (EBL), making them almost undetectable to Fermi/LAT. High-redshift blazars are impor- tant targets, as they serve as cosmological probes and represent one of the most powerful classes of γ-ray sources in the Universe. Unfortunately, only a small number of such objects could be detected with Fermi/LAT so far. In this thesis, I perform a systematic search for flaring events in high-redshift γ-ray blazars, which long-term flux is just below the sensitiv- ity limit of Fermi/LAT. By considering a sample of 176 radio detected high-redshift blazars, undetected at γ-ray energies, I was able to increase the number of previously unknown γ-ray blazars by a total of seven sources. Especially the blazar 5BZQ J2219−2719, at a distance of z = 3.63 was found to be the most distant new γ-ray source identified within this thesis. In the final part of this thesis, I studied the flaring behavior of bright blazars, previously considered as potential neutrino candidates. While the occurrence of flaring intervals in blazars is of purely statistical nature, I found potential differences in the observed flaring behavior of different blazar types. Blazars can be subdivided into BL Lac (BLL) objects, Flat-Spectrum Radio Quasar (FSRQ) and Blazars Candidates of Uncertain type (BCU). FSRQs are typ- ically brighter than BL Lac or BCU type blazars, thus longer flares and more complicated substructures can be resolved. Although BL Lacs and BCUs are capable of generating signifi- cant flaring episodes, they are often identified close to the detection threshold of Fermi/LAT. Long-term outburst periods are exclusively observed in FSRQs, while BCUs can still con- tribute with flare durations of up to ten days. BL Lacs, however, are only detected in flaring states of less than four days. FSRQs are bright enough to be detected multiple times with time gaps between two subsequent flaring intervals ranging between days and months. While BL Lacs can show time gaps of more than 100 days, BCUs are only observed with gaps up to 20 days, indicating that these objects are detected only once in the considered time range of six years. The newly introduced parameter “Boxyness” describes the averaged flux in an identified flaring state and does highly depend on the shape of the considered flare. While perfectly box-like flares (flares which show a constant flux level over the entire time range) correspond to an averaged flux which is equal the maximum flare amplitude, irregular shaped flares generate a smaller averaged flux. While all blazar types show perfectly box-shaped daily flares, BL Lacs and BCUs are typically not bright enough to be resolved for multiple days. The work presented in this thesis illustrates the challenging state of multimessenger neu- trino astronomy and the demanding hunt for the first extragalactic neutrino point sources. In this context, this work discusses the multiwavelength emission behavior of blazars as a promising class of neutrino point sources and allows for predictions of current and future source associations
The knee joint is a complex composite joint containing the C-shaped wedge-like menisci composed of fibrocartilage. Due to their complex composition and structure, they provide mechanical resilience to the knee joint protecting the articular cartilage. Because of the limited repair potential, meniscal injuries do not only affect the meniscus itself but also lead to altered joint homeostasis and inevitably to secondary osteoarthritis.
The meniscus was characterized focusing on its anatomy, structure and meniscal markers such as aggrecan, collagen type I (Col I) and Col II. The components relevant for meniscus tissue engineering, namely cells, Col I scaffolds, biochemical and biomechanical stimuli were studied. Meniscal cells (MCs) were isolated from meniscus, mesenchymal stem cells (MSCs) from bone marrow and dermal microvascular endothelial cells (d-mvECs) from foreskin biopsies. For the human (h) meniscus model, wedge-shape compression of a hMSC-laden Col I gel was successfully established. During three weeks of static culture, the biochemical stimulus transforming growth factor beta-3 (TGF beta-3) led to a compact collagen structure. On day 21, this meniscus model showed high metabolic activity and matrix remodeling as confirmed by matrix metalloproteinases detection. The fibrochondrogenic properties were illustrated by immunohistochemical detection of meniscal markers, significant GAG/DNA increase and increased compressive properties. For further improvement, biomechanical stimulation systems by compression and hydrostatic pressure were designed. As one vascularization approach, direct stimulation with ciclopirox olamine (CPX) significantly increased sprouting of hd-mvEC spheroids even in absence of auxiliary cells such as MSCs. Second, a cell sheet composed of hMSCs and hd-mvECs was fabricated by temperature triggered cell sheet engineering and transferred onto the wedge-shaped meniscus model. Third, a biological vascularized scaffold (BioVaSc-TERM) was re-endothelialized with hd-mvECs providing a viable vascularized network. The vascularized BioVaSc-TERM was suggested as wrapping scaffold of the meniscus model by using two suture techniques, the all-inside-repair (AIR) for the posterior horn, and the outside-in-refixation (OIR) for the anterior horn and the middle part.
This meniscus model for replacing torn menisci is a promising approach to be further optimized regarding vascularization, biochemical and biomechanical stimuli.
Active galactic nuclei (AGN) are among the brightest and most frequent sources on the extragalactic X-ray and gamma-ray sky. Their central supermassive blackhole generates an enormous luminostiy through accretion of the surrounding gas. A few AGN harbor highly collimated, powerful jets in which are observed across the entire electromagnetic spectrum. If their jet axis is seen in a small angle to our line-of-sight (these objects are then called blazars) jet emission can outshine any other emission component from the system. Synchrotron emission from electrons and positrons clearly prove the existence of a relativistic leptonic component in the jet plasma. But until today, it is still an open question whether heavier particles, especially protons, are accelerated as well. If this is the case, AGN would be prime candidates for extragalactic PeV neutrino sources that are observed on Earth. Characteristic signatures for protons can be hidden in the variable high-energy emission of these objects. In this thesis I investigated the broadband emission, particularly the high-energy X-ray and gamma-ray emission of jetted AGN to address open questions regarding the particle acceleration and particle content of AGN jets, or the evolutionary state of the AGN itself. For this purpose I analyzed various multiwavelength observations from optical to gamma-rays over a period of time using a combination of state-of-the-art spectroscopy and timing analysis. By nature, AGN are highly variable. Time-resolved spectral analysis provided a new dynamic view of these sources which helped to determine distinct emission processes that are difficult to disentangle from spectral or timing methods alone.
Firstly, this thesis tackles the problem of source classification in order to facilitate the search for interesting sources in large data archives and characterize new transient sources. I use spectral and timing analysis methods and supervised machine learning algorithms to design an automated source classification pipeline. The test and training sample were based on the third XMM-Newton point source catalog (3XMM-DR6). The set of input features for the machine learning algorithm was derived from an automated spectral modeling of all sources in the 3XMM-DR6, summing up to 137200 individual detections. The spectral features were complemented by results of a basic timing analysis as well as multiwavelength information provided by catalog cross-matches. The training of the algorithm and application to a test sample showed that the definition of the training sample was crucial: Despite oversampling minority source types with synthetic data to balance out the training sample, the algorithm preferably predicted majority source types for unclassified objects. In general, the training process showed that the combination of spectral, timing and multiwavelength features performed best with the lowest misclassification rate of \\sim2.4\\%.
The methods of time-resolved spectroscopy was then used in two studies to investigate the properties of two individual AGN, Mrk 421 and PKS 2004-447, in detail. Both objects belong to the class of gamma-ray emitting AGN. A very elusive sub-class are gamma-ray emitting Narrow Line Seyfert 1 (gNLS1) galaxies. These sources have been discovered as gamma-ray sources only recently in 2010 and a connection to young radio galaxies especially compact steep spectrum (CSS) radio sources has been proposed. The only gNLS1 on the Southern Hemisphere so far is PKS2004-447 which lies at the lower end of the luminosity distribution of gNLS1. The source is part of the TANAMI VLBI program and is regularly monitored at radio frequencies. In this thesis, I presented and analyzed data from a dedicated multiwavelength campaign of PKS 2004-447 which I and my collaborators performed during 2012 and which was complemented by individual observations between 2013 and 2016. I focussed on the detailed analysis of the X-ray emission and a first analysis of its broadband spectrum from radio to gamma-rays. Thanks to the dynamic SED I could show that earlier studies misinterpreted the optical spectrum of the source which had led to an underestimation of the high-energy emission and had ignited a discussion on the source class. I show that the overall spectral properties are consistent with dominating jet emission comprised of synchrotron radiation and inverse Compton scattering from accelerated leptons. The broadband emission is very similar to typical examples of a certain type of blazars (flat-spectrum radio quasars) and does not present any unusual properties in comparison. Interestingly, the VLBI data showed a compact jet structure and a steep radio spectrum consistent with a compact steep spectrum source. This classified PKS 2004-447 as a young radio galaxy, in which the jet is still developing.
The investigation of Mrk 421 introduced the blazar monitoring program which I and collaborator have started in 2014. By observing a blazar simultaneously from optical, X-ray and gamma-ray bands during a VHE outbursts, the program aims at providing extraordinary data sets to allow for the generation of a series of dynamical SEDs of high spectral and temporal resolution. The program makes use of the dense VHE monitoring by the FACT telescope. So far, there are three sources in our sample that we have been monitoring since 2014. I presented the data and the first analysis of one of the brightest and most variable blazar, Mrk 421, which had a moderate outbreak in 2015 and triggered our program for the first time. With spectral timing analysis, I confirmed a tight correlation between the X-ray and TeV energy bands, which indicated that these jet emission components are causally connected. I discovered that the variations of the optical band were both correlated and anti-correlated with the high-energy emission, which suggested an independent emission component. Furthermore, the dynamic SEDs showed two different flaring behaviors, which differed in the presence or lack of a peak shift of the low-energy emission hump. These results further supported the hypothesis that more than one emission region contributed to the broadband emission of Mrk 421 during the observations.
Overall,the studies presented in this thesis demonstrated that time-resolved spectroscopy is a powerful tool to classify both source types and emission processes of astronomical objects, especially relativistic jets in AGN, and thus provide a deeper understanding and new insights of their physics and properties.
Economists (should) care about regions! On the one hand this is true because macroeconomic shocks have vastly different effects across regions. The pressing topics of robotization
and artificial intelligence, Brexit, or U.S. tariffs will affect Würzburg differently than Berlin,
implying varying interests among its population, firms and politicians. On the other hand,
shocks in individual regions, such as inventions, bankruptcies or the attraction of a major
plant can, through trade and input-output linkages, magnify to aggregate effects of macroe-
conomic importance. Yet, regional heterogeneities in Germany and the complicated network
of linkages that connect regions are still not well documented nor understood. A fact that
is especially true for local labor markets that are of core interest to regional policy makers
and that also feature substantial heterogeneity.
This thesis provides a thorough quantification of such heterogeneities and an in-depth analysis of the sources and mechanisms that drive these differences.
Main focus of the present dissertation was to gain new insight about the interaction between magnetic ions and the conduction band of diluted magnetic semiconductors. This interaction in magnetic semiconductors with carrier concentrations near the metal-insulator transition (MIT) in an external magnetic field is barely researched. Hence, n-doped Zn1−xMnxSe:Cl samples were studied.
Resonant Raman spectroscopy was employed at an external magnetic field between 1T and 7T and a temperature of 1.5K.
The resulting magnetization of the material amplifies the splitting of states with opposite spins both in the valence and the conduction band. This is known as the "giant-Zeeman-effect".
In this thesis, the resonance of the electron spin flip process, i.e. the enhancement of the signal depending on the excitation energy, was used as an indicator to determine the density of states of the charge carriers. The measured resonance profiles of each sample showed a structure, which consist of two partially overlapping Gaussian curves. The analysis of the Gaussian curves revealed that their respective maxima are separated independent of the magnetic field strenght by about 5 meV, which matches the binding energy of the donor bound exciton (D0, X).
A widening of the full width at half maximum of the resonance profile was observed with increasing magnetic field. A detailed analysis of this behavior showed that the donor bound exciton spin flip resonance primarily accounts for the widening for all samples with doping concentrations below the metal insulator transition. A model was proposed for the interpretation of this observation.
This is based on the fundamental assumptions of a spatially random distribution of the manganese ions on the group-II sublattice of the ZnSe crystal and the finite extension of the excitons. Thus, each exciton covers an individual quantity of manganese ions, which manifest as a local manganese concentration. This local manganese concentration is normally distributed for a set of excitons and hence, the evaluation of the distribution allows the determination of exciton radii
Two trends were identified for the (D0, X) radii. The radius of the bound exciton decreases with increasing carrier concentration as well as with increasing manganese concentration. The determination of the (D0, X) radii by the use of resonant spin flip Raman spectroscopy and also the observation of the behavior of the (D0, X) radius depending on the carrier concentration, was achieved for the first time.
For all samples with carrier concentrations below the metal-insulator transition, the obtained (X0) radii are up to a factor of 5.9 larger than the respective (D0, X) radii. This observation is explained by the unbound character of the (X0).
For the first time, such an observation could be made by Raman spectroscopy.Beside the resonance studies, the shape of the Raman signal of the electron spin flip was analyzed. Thereby an obvious asymmetry of the signal, with a clear flank to lower Raman shifts, was observed. This asymmetry is most pronounced, when the spin flip process is excited near the (D0, X) resonance.
To explain this observation, a theoretical model was introduced in this thesis. Based on the asymmetry of the resonantly excited spin flip signal, it was possible to estimate the (D0, X) radii, too. At external magnetic fields between 1.25T and 7T, the obtained radii lie between 2.38nm and 2.75nm.
Additionally, the asymmetry of the electron spin flip signal was observed at different excitation energies. Here it is striking that the asymmetry vanishes with increasing excitation energy. At the highest excitation energy, where the electron spin flip was still detectable, the estimated radius of the exciton is 3.92nm.
Beside the observations on the electron spin flip, the resonance behavior of the spin flip processes in the d-shell of the incorporated Mn ions was studied in this thesis. This was performed for the direct Mn spin flip process as well as for the sum process of the longitudinal optical phonon with the Mn spin flip. For the Stokes and anti-Stokes direct spin flip process and for the Stokes sum process, each the resonance curve is described by considering only one resonance mechanism. In contrast, resonance for the sum process in which an anti-Stokes Mn spin flip is involved, consists of two partially overlapping resonances due to different mechanisms. A detailed analysis of this resonance profile showed that for (Zn,Mn)Se at the chosen experimental parameters, an
incoming and outgoing resonance can be achieved, separated by a few meV.
Hereby, at a specific excitation energy range and a high excitation power, it was possible to achieve an inversion of the anti-Stokes to Stokes intensity, because only the anti-Stokes Mn spin flip process was enhanced resonantly.
Neurodevelopmental disorders, including attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) are disorders of mostly unknown etiopathogenesis, for which both genetic and environmental influences are expected to contribute to the phenotype observed in patients. Changes at all levels of brain function, from network connectivity between brain areas, over neuronal survival, synaptic connectivity and axonal growth, down to molecular changes and epigenetic modifications are suspected to play a key roles in these diseases, resulting in life-long behavioural changes.
Genome-wide association as well as copy-number variation studies have linked cadherin-13 (CDH13) as a novel genetic risk factor to neuropsychiatric and neurodevelopmental disorders. CDH13 is highly expressed during embryonic brain development, as well as in the adult brain, where it is present in regions including the hippocampus, striatum and thalamus (among others) and is upregulated in response to chronic stress exposure. It is however unclear how CDH13 interacts with environmentally relevant cues, including stressful triggers, in the formation of long-lasting behavioural and molecular changes. It is currently unknown how the environment influences CDH13 and which long term changes in behaviour and gene expression are caused by their interaction. This work therefore investigates the interaction between CDH13 deficiency and neonatal maternal separation (MS) in mice with the aim to elucidate the function of CDH13 and its role in the response to early-life stress (ELS).
For this purpose, mixed litters of wild-type (Cdh13+/+), heterozygous (Cdh13+/-) and homozygous knockout (Cdh13-/-) mice were maternally separated from postnatal day 1 (PN1) to postnatal day 14 (PN14) for 3 hours each day (180MS; PN1-PN14). In a first series of experiments, these mice were subjected to a battery of behavioural tests starting at 8 weeks of age in order to assess motor activity, memory functions as well as measures of anxiety. Subsequently, expression of RNA in various brain regions was measured using quantitativ real-time polymerase chain reaction (qRT-PCR). A second cohort of mice was exposed to the same MS procedure, but was not behaviourally tested, to assess molecular changes in hippocampus using RNA sequencing.
Behavioural analysis revealed that MS had an overall anxiolytic-like effect, with mice after MS spending more time in the open arms of the elevated-plus-maze (EPM) and the light compartment in the light-dark box (LDB). As a notable exception, Cdh13-/- mice did not show an increase of time spent in the light compartment after MS compared to Cdh13+/+ and Cdh13+/- MS mice. During the Barnes-maze learning task, mice of most groups showed a similar ability in learning the location of the escape hole, both in terms of primary latency and primary errors. Cdh13-/- control (CTRL) mice however committed more primary errors than Cdh13-/- MS mice. In the contextual fear conditioning (cFC) test, Cdh13-/- mice showed more freezing responses during the extinction recall, indicating a reduced extinction of fear memory. In the step-down test, an impulsivity task, Cdh13-/- mice had a tendency to wait longer before stepping down from the platform, indicative of more hesitant behaviour. In the same animals, qRT-PCR of several brain areas revealed changes in the GABAergic and glutamatergic systems, while also highlighting changes in the gatekeeper enzyme Glykogensynthase-Kinase 3 (Gsk3a), both in relation to Cdh13 deficiency and MS. Results from the RNA sequencing study and subsequent gene-set enrichment analysis revealed changes in adhesion and developmental genes due to Cdh13 deficiency, while also highlighting a strong link between CDH13 and endoplasmatic reticulum function. In addition, some results suggest that MS increased pro-survival pathways, while a gene x environment analysis showed alterations in apoptotic pathways and migration, as well as immune factors and membrane metabolism. An analysis of the overlap between gene and environment, as well as their interaction, highlighted an effect on cell adhesion factors, underscoring their importance for adaptation to the environment.
Overall, the stress model resulted in increased stress resilience in Cdh13+/+ and Cdh13+/- mice, a change absent in Cdh13-/- mice, suggesting a role of CDH13 during programming and adaptation to early-life experiences, that can results in long-lasting consequences on brain functions and associated behaviours. These changes were also visible in the RNA sequencing, where key pathways for cell-cell adhesion, neuronal survival and cell-stress adaptation were altered. In conclusion, these findings further highlight the role of CDH13 during brain development, while also shedding light on its function in the adaptation and response during (early life) environmental challenges.
This thesis describes the growth and characterization of both the all-oxide heterostructure
Fe3O4/ZnO and the spin-orbit coupling driven layered perovskite iridates.
As for Fe3O4/ZnO, the 100% spin-polarized Fe3O4 is a promising spin electrode candidate
for spintronic devices. However, the single crystalline ZnO substrates exhibit different polar surface termination which, together with substrate preparation method, can drastically affect the physical properties of Fe3O4/ZnO heterostructures. In this thesis two different methods of substrate preparation were investigated: a previously used in situ method involving sputtering and annealing treatments and a recent ex situ method containing only the annealing procedure. For the latter, the annealing treatment was performed in dry and humid O2 gas flow for the O- and Zn-terminated substrates, respectively, to produce atomically at surfaces as verified by atomic force microscopy(AFM). With these methods, four different ZnO substrates were fabricated and used further for Fe3O4 film growth. Fe3O4 films of 20 nm thickness were successfully grown by reactive molecular beam epitaxy. AFM measurements reveal a higher film surface roughness for the samples with in situ prepared substrates. Moreover, X-ray photoelectron spectroscopy (XPS) measurements indicate significant Zn substitution within the Fe3O4 film for these samples, whereas the samples with ex situ prepared substrates show stoichiometric Fe3O4 films. X-ray diffraction measurements confirm the observations from XPS, revealing additional peaks due to Zn substitution in Fe3O4 films grown on in situ prepared ZnO substrates. Conductivity, as well as magnetometry, measurements show the presence of Zn-doped ferrites in films grown on in situ prepared substrates. Such unintentionally intercalated Zn-doped ferrites dramatically change the electrical and magnetic properties of the films and, therefore, are not preferred in a high-quality heterostructure.
X-ray reflectivity (XRR) measurements show for the film grown on ex situ prepared Zn-terminated substrate a variation of film density close to the interface which is also confirmed by transmission electron microscopy (TEM). Using polarized neutron reflectometry, magnetic depth profiles of the films grown on ex situ prepared substrates clearly indicate Fe3O4 layers with reduced magnetization at the interfaces. This result is consistent with earlier observations made by resonant magnetic X-ray reflectometry (RMXR), but in contrast to the findings from XRR and TEM of this thesis. A detailed TEM study of all four samples shows that the sample with ex situ prepared O-terminated substrate has the sharpest interface, whereas those with ex situ prepared Zn-terminated as well as in situ prepared substrates indicate rougher interfaces. STEM-EELS composition profiles of the samples reveal the Zn substitution in the films with in situ prepared substrates and therefore confirm the presence of Zn-doped ferrites. Moreover, a change of the Fe oxidation state of the first Fe layer at the interface which was observed in previous studies done by RMXR, was not verified for the samples with in situ prepared substrates thus leaving the question of a possible presence of the magnetically dead layer open. Furthermore, density functional theory calculations were performed to determine the termination dependent layer sequences which are ...-Zn-O-(interface)-[Fe(octa)-O-Fe(tetra)-Fe(octa)-Fe(tetra)-O]-[...]-... and ...-O-Zn-(interface)-[O-Fe(octa)-O-Fe(tetra)-Fe(octa)-Fe(tetra)]-[...]-... for the samples with O- and Zn-terminated substrates, respectively. Spin density calculations show that in case of O-termination the topmost substrate layers imitate the spin polarization of film layers close to the interface. Here, the first O layer is affected much stronger than the first Zn layer. Due to the strong decrease of this effect toward deeper substrate layers, the substrate surface is supposed to be sensitive to the contiguous spin polarization of the film. Thus, the topmost O layer of the O-terminated substrate could play the most essential role for effective spin injection into ZnO.
The 5d transition metal oxides Ba2IrO4 (BIO) and Sr2IrO4 (SIO) are associated with the Ruddlesden-Popper iridate series with phase type "214" (RP{214), and due to the strong spin-orbit coupling belong to the class of Mott insulators. Moreover, they show many similarities of the isostructural high Tc-cuprate superconductors, e.g. crystal structure, magnetism and electronic band structure. Therefore, it is of great interest to activate a potential superconducting phase in (RP{214) iridates. However, only a small number of publications on PLD grown (RP{214) iridates in the literature exists. Furthermore, published data of soft X-ray angle resolved photoemission spectroscopy (SX-ARPES) experiments mainly originate from measurements which were performed on single crystals or MBE grown films of SIO and BIO. In this thesis La-doped SIO films (La0:2Sr1:8IrO4, further referred as LSIO) were used to pursue a potential superconducting phase.
A set of characterization methods was used to analyze the quality of the PLD grown BIO, SIO and LSIO films. AFM measurements demonstrate that thick PLD grown(RP{214) iridate films have rougher surfaces, indicating a transition from a 2D layer-bylayer growth (which is demonstrated by RHEED oscillations) to a 3D island-like growth mode. In addition, chemical depth profiling XPS measurements indicate an increase of the O and Ir relative concentrations in the topmost film layers. Constant energy k-space maps and energy distribution curves (EDCs) measured by SX-ARPES show for every grown film only weak energy band dispersions, which are in strong contrast to the results obtained on the MBE grown films and single crystals from the literature. In this thesis,
a subsequent TEM study reveals missing SrO layers within the grown films which occur mainly in the topmost layers, confirming the results and suggestions from XPS and SX-ARPES data: the PLD grown films have defects and, therefore, incoherently scatter photoelectrons. Nevertheless, the LSIO film shows small additional spectral weight between the highsymmetry M points close to the Fermi level which can be attributed to quasiparticle states which, in turn, indicates the formation of a Fermi-arc. However, neither conductivity measurements nor valence band analysis via XPS confirm an activation of a superconducting phase or presence of spectral weight of quasiparticle states at the Fermi level in this LSIO film.
It is possible that these discovered difficulties in growth are responsible for the low number of SX-ARPES publications on PLD grown (RP{214) iridate films. For further investigations of (RP{214) iridate films by SX-ARPES, their PLD growth recipes have to be improved to create high quality single crystalline films without imperfections.
The present thesis describes the development of a strategy to create discrete finite-sized supramolecular stacks of merocyanine dyes. Thus, bichromophoric stacks of two identical or different chromophores could be realized by folding of bis(merocyanine) dyes and their optical properties were discussed in terms of exciton theory. Quantum chemical calculations revealed strong exciton coupling between the chromophores within the homo- and hetero-π-stacks and the increase of the J-band of the hetero-dimers with increasing energy difference between the excited states of the chromophores could be attributed not only to the different magnitudes of transition dipole moments of the chromophores but also to the increased localization of the excitation in the respective exciton state. Furthermore, careful selection of the length of the spacer unit that defines the interplanar distance between the tethered chromophores directed the self-assembly of the respective bis(merocyanines) into dimers, trimers and tetramers comprising large, structurally precise π-stacks of four, six or eight merocyanine chromophores. It could be demonstrated that the structure of such large supramolecular architectures can be adequately elucidated by commonly accessible analysis tools, in particular NMR techniques in combination with UV/vis measurements and mass spectrometry. Supported by TDDFT calculations, the absorption spectra of the herein investigated aggregates could be explained and a relationship between the absorption properties and the number of stacking chromophores could be established based on exciton theory.
Forward Collision Alarms (FCA) intend to signal hazardous traffic situations and the need for an immediate corrective driver response. However, data of naturalistic driving studies revealed that approximately the half of all alarms activated by conventional FCA systems represented unnecessary alarms. In these situations, the alarm activation was correct according to the implemented algorithm, whereas the alarms led to no or only minimal driver responses. Psychological research can make an important contribution to understand drivers’ needs when interacting with driver assistance systems.
The overarching objective of this thesis was to gain a systematic understanding of psychological factors and processes that influence drivers’ perceived need for assistance in potential collision situations. To elucidate under which conditions drivers perceive alarms as unnecessary, a theoretical framework of drivers’ subjective alarm evaluation was developed. A further goal was to investigate the impact of unnecessary alarms on drivers’ responses and acceptance. Four driving simulator studies were carried out to examine the outlined research questions.
In line with the hypotheses derived from the theoretical framework, the results suggest that drivers’ perceived need for assistance is determined by their retrospective subjective hazard perception. While predictions of conventional FCA systems are exclusively based on physical measurements resulting in a time to collision, human drivers additionally consider their own manoeuvre intentions and those attributed to other road users to anticipate the further course of a potentially critical situation. When drivers anticipate a dissolving outcome of a potential conflict, they perceive the situation as less hazardous than the system. Based on this discrepancy, the system would activate an alarm, while drivers’ perceived need for assistance is low. To sum up, the described factors and processes cause drivers to perceive certain alarms as unnecessary. Although drivers accept unnecessary alarms less than useful alarms, unnecessary alarms do not reduce their overall system acceptance. While unnecessary alarms cause moderate driver responses in the short term, the intensity of responses decrease with multiple exposures to unnecessary alarms. However, overall, effects of unnecessary alarms on drivers’ alarm responses and acceptance seem to be rather uncritical.
This thesis provides insights into human factors that explain when FCAs are perceived as unnecessary. These factors might contribute to design FCA systems tailored to drivers’ needs.
Inefficient vascularisation of solid tumours leads to the formation of oxygen and nutrient gradients. In order to mimic this specific feature of the tumour microenvironment, a multicellular tumour spheroid (SPH) culture system was used. These experiments were implemented in p53 isogenic colon cancer cell lines (HCT116 p53 +/+ and HCT116 p53-/-) since Tp53 has important regulatory functions in tumour metabolism. First, the characteristics of the cells cultured as monolayers and as spheroids were investigated by using RNA sequencing and metabolomics to compare gene expression and metabolic features of cells grown in different conditions. This analysis showed that certain features of gene expression found in tumours are also present in spheroids but not in monolayer cultures, including reduced proliferation and induction of hypoxia related genes. Moreover, comparison between the different genotypes revealed that the expression of genes involved in cholesterol homeostasis is induced in p53 deficient cells compared to p53 wild type cells and this difference was only detected in spheroids and tumour samples but not in monolayer cultures. In addition, it was established that loss of p53 leads to the induction of enzymes of the mevalonate pathway via activation of the transcription factor SREBP2, resulting in a metabolic rewiring that supports the generation of ubiquinone (coenzyme Q10). An adequate supply of ubiquinone was essential to support mitochondrial electron transport and pyrimidine biosynthesis in p53 deficient cancer cells under conditions of metabolic stress. Moreover, inhibition of the mevalonate pathway using statins selectively induced oxidative stress and apoptosis in p53 deficient colon cancer cells exposed to oxygen and nutrient deprivation. This was caused by ubiquinone being required for electron transfer by dihydroorotate dehydrogenase, an essential enzyme of the pyrimidine nucleotide biosynthesis pathway. Supplementation with exogenous nucleosides relieved the demand for electron transfer and restored viability of p53 deficient cancer cells under metabolic stress. Moreover, the mevalonate pathway was also essential for the synthesis of ubiquinone for nucleotide biosynthesis to support growth of intestinal tumour organoids. Together, these findings highlight the importance of the mevalonate pathway in cancer cells and provide molecular evidence for an enhanced sensitivity towards the inhibition of mitochondrial electron transfer in tumour-like metabolic environments.
Supramolecular self-assembly of perylene bisimide (PBI) dyes via non-covalent forces gives rise to a high number of different PBI architectures with unique optical and functional properties. As these properties can be drastically influenced by only slightly structural changes of the formed supramolecular ensembles (Chapter 2.1) the controlled self-assembly of PBI dyes became a central point of current research to design innovative materials with a high potential for different applications as for example in the fields of organic electronics or photovoltaics.
As PBI dyes show a strong tendency to form infinite aggregated structures (Chapter 2.2) the aim of this thesis was to precisely control their self-assembly to create small, structurally well-defined PBI assemblies in solution. Chapter 2.3 provides an overview on literature known strategies that were established to realize this aim. It could be demonstrated that especially backbone-directed intra- and intermolecular self-assembly of covalently linked Bis-PBI dyes evolved as one of the most used strategies to define the number of stacked PBI chromophores by using careful designed spacer units with regard to their length and flexibility.
By using conventional spectroscopic methods like UV/Vis and fluorescence experiments in combination with NMR measurements an in-depth comparison of the molecular and optical properties in solution both in the non-stacked and aggregated state of the target compounds could be elucidated to reveal structure-property relationships of different PBI architectures. Thus, it could be demonstrated, that spacer units that pre-organize two PBI chromophores with an inter-planar distance of r < 7 Å lead to an intramolecular folding, whereas linker moieties with a length between 7 to 11 Å result in an intermolecular self-assembly of the respective Bis-PBIs dyes via dimerization to form well-defined quadruple PBI pi-stacks. Hence, if the used spacer units ensure an inter-planar distance r > 14 Å larger oligomeric PBI pi-stacks are generated.
In Chapter 4 a detailed analysis of the exciton coupling in a highly defined H-aggregate quadruple PBI pi-stack is presented. Therefore, bay-tethered PBI dye Bis-PBI 1 was investigated by concentration-dependent UV/Vis spectroscopy in THF and toluene as well as by 2D-DOSY-NMR spectroscopy, ESI mass spectrometry and AFM measurements confirming that Bis-PBI 1 self-assembles exclusively into dimers with four closely pi-stacked PBI chromophores. Furthermore, with the aid of broadband fluorescence upconversion spectroscopy (FLUPS) ensuring broadband detection range and ultrafast time resolution at once, ultrafast Frenkel exciton relaxation and excimer formation dynamics in the PBI quadruple pi-stack within 1 ps was successfully investigated in cooperation with the group of Dongho Kim. Thus, it was possible to gain for the first time insights into the exciton dynamics within a highly defined synthetic dye aggregate beyond dimers. By analysing the vibronic line shape in the early-time transient fluorescence spectra in detail, it could be demonstrated that the Frenkel exciton is entirely delocalized along the quadruple stack after photoexcitation and immediately loses its coherence followed by the formation of the excimer state.
In Chapter 5 four well-defined Bis-PBI folda-dimers Bis-PBIs 2-4 were introduced, where linker units of different length (r < 7 Å) and steric demand were used to gain distinct PBI dye assemblies in the folded state. Structural elucidation based on in-depth UV/Vis, CD and fluorescence experiments in combination with 1D and 2D NMR studies reveals a stacking of the two PBI chromophores upon folding, where geometry-optimized structures obtained from DFT calculations suggest only slightly different arrangements of the PBI units enforced by the distinct spacer moieties. With the resulting optical signatures of Bis-PBIs 2-4 ranging from conventional Hj-type to monomer like absorption features, the first experimental proof of a PBI-based “null-aggregate” could be presented, in which long- and short-range exciton coupling fully compensate each other. Hence, the insights of this chapter pinpoint the importance of charge-transfer mediated short-range exciton coupling that can significantly influence the properties of pi-stacked PBI chromophores
In the last part of this thesis (Chapter 6), spacer-controlled self-assembly of four bay-linked Bis-PBI dyes Bis-PBIs 5-8 into well-defined supramolecular architectures was investigated, where the final aggregate structures are substantially defined by the nature of the used spacer units. By systematically extending the backbone length from 7 to 15 Å defining the inter-planar distance between the tethered chromophores, different assemblies from defined quadruple PBI pi-stacks to larger oligomeric pi-stacks could be gained upon aggregation.
In conclusion, the synthesis of nine covalently linked PBI dyes in combination with a detailed investigation of their spacer-mediated self-assembly behaviour in solution concerning structure-properties-relationships was presented within this thesis. The results confirm a strong exciton coupling in different types of Bis-PBI architectures e.g. folda-dimers or highly defined quadruple pi-stacks, which significantly influences their optical properties upon self-assembly.
Biofabrication is an advancing new research field that might, one day, lead to complex products like tissue replacements or tissue analogues for drug testing. Although great progress was made during the last years, there are still major hurdles like new types of materials and advanced processing techniques. The main focus of this thesis was to help overcoming this hurdles by challenging and improving existing fabrication processes like extrusion-based bioprinting but also by developing new techniques. Furthermore, this thesis assisted in designing and processing materials from novel building blocks like recombinant spider silk proteins or inks loaded with charged nanoparticles.
A novel 3D printing technique called Melt Electrospinning Writing (MEW) was used in Chapter 3 to create tubular constructs from thin polymer fibers (roughly 12 μm in diameter) by collecting the fibers onto rotating and translating cylinders. The main focus was put on the influence of the collector diameter and its rotation and translation on the morphology of the constructs generated by this approach. In a first step, the collector was not moving and the pattern generated by these settings was analyzed. It could be shown that the diameter of the stationary collectors had a big impact on the morphology of the constructs. The bigger the diameter of the mandrel (smallest collector diameters 0.5 mm, biggest 4.8 mm) got, the more the shape of the generated footprint converged into a circular one known from flat collectors. In a second set of experiments the mandrels were only rotated. Increasing the rotational velocity from 4.2 to 42.0 rpm transformed the morphology of the constructs from a figure-of-eight pattern to a sinusoidal and ultimately to a straight fiber morphology. It was possible to prove that the transformation of the pattern was comparable to what was known from increasing the speed using flat collectors and that at a critical speed, the so called critical translation speed, straight fibers would appear that were precisely stacking on top of each other. By combining rotation and translation of the mandrel, it was possible to print tubular constructs with defined winding angles. Using collections speeds close to the critical translation speed enabled higher control of fiber positioning and it was possible to generate precisely stacked constructs with winding angles between 5 and 60°.
In Chapter 4 a different approach was followed. It was based on extrusion-based bioprinting in combination with a hydrogel ink system. The ink was loaded with nanoparticles and the nanoparticle release was analyzed. In other words, two systems, a printable polyglycidol/hyaluronic acid ink and mesoporous silica nanoparticles (MSN), were combined to analyze charge driven release mechanism that could be fine-tuned using bioprinting. Thorough rheological evaluations proved that the charged nanoparticles, both negatively charged MSN-COOH and positively charged MSN-NH2, did not alter the shear thinning properties of the ink that revealed a negative base charge due to hyaluronic acid as one of its main components. Furthermore, it could be shown that the particles did also not have a negative effect on the recovery properties of the material after exposure to high shear. During printing, the observations made via rheological testing were supported by the fact that all materials could be printed at the same settings of the bioprinter. Using theses inks, it was possible to make constructs as big as 12x12x3 mm3 composed of 16 layers. The fiber diameters produced were about 627±31 μm and two-component constructs could be realized utilizing the two hydrogel print heads of the printer to fabricate one hybrid construct. The particle distribution within those constructs was homogeneous, both from a microscopic and a macroscopic point of view. Particle release from printed constructs was tracked over 6 weeks and revealed that the print geometry had an influence on the particle release. Printed in a geometry with direct contact between the strands containing different MSN, the positively charged particles quickly migrated into the strand previously containing only negatively charged MSN-COOH. The MSN-COOH seemed to be rather released into the surrounding liquid and also after 6 weeks no MSN-COOH signal could be detected in the strand previously only containing MSN-NH2. In case of a geometry without direct contact between the strands, the migration of the positively charged nanoparticles into the MSN-COOH containing strand was strongly delayed. This proved that the architecture of the printed construct can be used to fine-tune the particle release from nanoparticle containing printable hydrogel ink systems.
Chapter 5 discusses an approach using hydrogel inks based on recombinant spider silk proteins processed via extrusion-based bioprinting. The ink could be applied for printing at protein concentrations of 3 % w/v without the addition of thickeners or any post process crosslinking. Both, the recombinant protein eADF4(C16) and a modification introducing a RGD-sequence to the protein (eADF4(C16)-RGD), could be printed revealing a very good print fidelity. The RGD modification had positive effect on the adhesion of cells seeded onto printed constructs. Furthermore, human fibroblasts encapsulated in the ink at concentrations of 1.2 million cells per mL did not alter the print fidelity and did not interfere with the crosslinking mechanism of the ink. This enabled printing cell laden constructs with a cell survival rate of 70.1±7.6 %. Although the cell survival rate needs to be improved in further trials, the approach shown is one of the first leading towards the shift of the window of biofabrication because it is based on a new material that does not need potentially harmful post-process crosslinking and allows the direct encapsulation of cells staying viable throughout the print process.
Abscission marks the last step of cytokinesis and gives rise to two physically separated daughter cells and a midbody remnant. This work studies abscission by examining the extent of the abscission failure in C. elegans septin and ESCRT mutants with the help of the ZF1-degradation technique. The ZF1 technique is also applied to discern a possible role for PI3K during abscission. Lastly, we test the role of proteins required for macroautophagy but not for LC3-associated phagocytosis (LAP) and show that after release into the extracellular space, the midbody is resolved via LAP.