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Der zweizeitige Endoprothesenwechsel gilt als Goldstandard der Therapie periprothetischer Gelenkinfektionen. Ein sicherer Ausschluss einer Infektpersistenz ist für den Therapieerfolg essentiel. Es wurde der diagnostische Nutzen synovialer Marker zum Ausschluss einer Infektpersistenz bei einliegendem Kniegelenksspacer untersucht. Weder mikrobiologische noch zytologische Synovia-Analysen sind zum Ausschluss einer Infektpersistenz im Rahmen des zweizeitigen Knieendoprothesenwechsels geeignet.
Recent progress in nanotechnology has attracted interest to a biomedical application of the carbon nanoparticle C60 fullerene (C60) due to its unique structure and versatile biological activity. In the current study the dual functionality of C60 as a photosensitizer and a drug nanocarrier was exploited to improve the efficiency of chemotherapeutic drugs towards human leukemic cells.
Pristine C60 demonstrated time-dependent accumulation with predominant mitochondrial localization in leukemic cells. C60’s effects on leukemic cells irradiated with high power single chip LEDs of different wavelengths were assessed to find out the most effective photoexcitation conditions. A C60-based noncovalent nanosized system as a carrier for an optimized drug delivery to the cells was evaluated in accordance to its physicochemical properties and toxic effects. Finally, nanomolar amounts of C60-drug nanocomplexes in 1:1 and 2:1 molar ratios were explored to improve the efficiency of cell treatment, complementing it with photodynamic approach.
A proposed treatment strategy was developed for C60 nanocomplexes with the common chemotherapeutic drug Doxorubicin, whose intracellular accumulation and localization, cytotoxicity and mechanism of action were investigated. The developed strategy was revealed to be transferable to an alternative potent anticancer drug – the herbal alkaloid Berberine.
Hereafter, a strong synergy of treatments arising from the combination of C60-mediated drug delivery and C60 photoexcitation was revealed. Presented data indicate that a combination of chemo- and photodynamic treatments with C60-drug nanoformulations could provide a promising synergetic approach for cancer treatment.
Peptide receptor radionuclide therapy (PRRT) is a molecular targeted radiation therapy involving the systemic administration of radiolabeled somatostatin receptor binding peptides designed to target with high affinity and specificity receptors overexpressed on tumors. Peptides are applied which either target as agonist (with internalization) or antagonist (little to no internalization). Recently, two novel antagonistic agents have been developed for clinical use: OPS202 and OPS201. 68Ga-labelled OPS202 is used for diagnostic purposes with positron emission tomography and 177Lu-labelled OPS201 is used for the therapy in patients with neuroendocrine tumors (NETs). Both agents are presently under clinical evaluation. Despite the very low internalization rate, the use of somatostatin receptor antagonists which target more binding sites on receptors are expected to result in higher specificity, more favorable pharmacokinetics and higher tumor retention and better visualization than the agonists. The main goal of this thesis was analyzing the biodistribution, biokinetics and internal dosimetry of the recently developed somatostatin receptor antagonists (OPS201 and OPS202) for therapeutic and diagnostic purposes in different species (mice, pigs and patients). In addition, an analysis of the influence of image quantification and the integration of time activity curves on kidney dosimetry in a pig model was carried out. Furthermore, extrapolation methods, which are used for predicting organ absorbed doses for humans based on preclinical animal models, were systematically compared for blood, liver, and kidneys of OPS201 injected species. Based on the OPS202 injected patients’ investigations, 68Ga-OPS202 shows promising biodistribution and imaging properties with tumor contrast which is optimal one hour after injection of the radiotracer. OPS202 is well tolerated and delivers absorbed doses to organs that are lower than those by 18F-FDG and similar to other 68Ga-labeled somatostatin receptor ligands. As a result of 68Ga OPS202 injection, the highest absorbed doses were observed in the urinary bladder (0.10 mGy/MBq) and kidneys (0.84 mGy/MBq). The calculated mean effective dose coefficient of 68Ga-OPS202 injected patients was 0.024 mSv/MBq (3.6 mSv for 150 MBq 68Ga-OPS202 injection) which is similar to other 68Ga-labeled compounds. Based on the OPS201 biokinetics and dosimetry investigations, after the injection of 177Lu-OPS201, a fast blood clearance of the compound is observed in the first phase (half-life: 1.83 h) for each species. 10 min after injection, less than 5% of the injected activity per milliliter of blood circulates in pigs and humans. The analysis of the mice, pig and preliminary patient data provides evidence that, patients enrolled in a phase 1 177Lu-OPS201 trial would not be at risk of overexposure. Based on our results, for 177Lu labelled studies, late time points after 72 h have a great impact on absorbed dose calculations. That is why follow-up times especially at late time points (more than 72 h) are required for the time-integrated activity coefficient (TIAC) calculations in order to represent the area under the curve appropriately and to analyze both biokinetics and dosimetry accurately. In addition, to find the most adequate extrapolation methods that minimize the interspecies differences of dosimetry data, several extrapolation methods from animal to human have been tested. For OPS201 time scaling or combination of relative mass and time scaling results in most similar TIAC values, if the organ mass ratios between the species are high. In time scaling, the scan/sampling time is scaled by using the ratio of the whole body masses of the respective species. In relative mass scaling, the TIACs are scaled based on the ratio of the whole body and organ mass of respective species. Other methods tested showed higher deviations. For the study on the influence of image quantification and the choice of the optimal scanning time points, a study in a pig model, which was performed in collaboration with Aalborg University and Octreopharm Sciences GmbH, was reanalyzed. As kidneys are organs-at-risk in PRRT with 177Lu labelled peptides, several quantification methods, based on 2D and 3D quantitative imaging were chosen. For this purpose, a 3D printed pig kidney phantom was prepared and measured with/without background activities representing the activities in the pig SPECT/CT scans. The phantom dosimetry data based on multiple SPECT/CT images and based on multiple planar images in combination with one SPECT/CT scan (MP1S Imaging) were compared to the pig dosimetry. The calculated TIACs of the phantom with background based on multiple SPECT/CT and MP1S imaging were quite similar to the multiple SPECT/CT based pig TIAC. In addition, in order to investigate the effect of late time points on dosimetry and absorbed dose values in 177Lu therapies, the difference, associated with eliminating the late two scan time points, on the TIACs was analyzed. When the TIACs (including all time points) of the pig based on multiple SPECT/CT and MP1S imaging were investigated, the use of MP1S imaging results in considerably lower TIAC values to the kidney (by a factor of 1.4). With eliminating late time points from the created time activity curve, the factor increases up to 2.4 times with a corresponding increase in TIAC uncertainties. As a consequence, further evaluation of 68Ga-OPS202 for PET/CT imaging and 177Lu-OPS201 for the treatments of NET patients is necessary. In particular, a head-to-head comparison of agonists and OPS peptides with respect to biokinetics, biodistribution and dosimetry would be helpful. In addition, the influence of the late scan time points on dosimetry needs further attention in particular for kidney dosimetry
In dieser Dissertation wird der MEK5/ERK5- Signalweg als möglicher Angriffspunkt in der zielgerichteten Melanomtherapie identifiziert. Die Adressierung von ERK5 bietet eine Alternative, um einer Resistenzentwicklung gegenüber Inhibitoren des MAPK- Signalwegs entgegenzuwirken. Das maligne Melanom ist ein hochaggressiver Tumor mit steigender Inzidenz. Zunehmende Sonnenstunden im Rahmen des Klimawandels mit erhöhter Belastung der Haut durch UV-Strahlung werden die Problematik des malignen Melanoms für den Menschen in den nächsten Jahren weiter zunehmen lassen.
Die Aktivierung des MEK5/ERK5- Signalwegs scheint eine Reaktion von Tumorzellen auf Therapiestress zu sein. Diese Aktivierung liefert den Melanomzellen einen Überlebensvorteil und verhindert ein langfristiges Therapieansprechen. ERK5 beeinflusst den Zellzyklus von Melanomzellen und ist somit möglicherweise von wichtiger Bedeutung in der Tumorgenese des malignen Melanoms.
Patienten mit NRAS- Mutation profitieren auffallend weniger von einer gezielten MEKi-Therapie als solche mit BRAF Mutation. Für ersteres Patientenkollektiv steht aktuell lediglich die Immuntherapie zur Verfügung, wodurch oft nur ein kurzes, progressionsfreies Intervall erreicht werden kann und die Patienten häufig unter schweren Nebenwirkungen leiden. Grund für die problematische Behandlung könnte das häufige Auftreten einer basalen ERK5- Aktivierung in NRAS- mutierten Melanomen sein. Diese Arbeit liefert eine positive Prognose über den Nutzen einer ERK5- Inhibition als Erweiterung des Therapieschemas. Diese These gilt auch für Melanompatienten mit einer BRAF- Mutation. Patienten, die an einem malignen Melanom erkrankt sind, weisen zu 80% eine Mutation in einem dieser beschriebenen Onkogene auf. Die Arbeit lässt darauf schließen, dass eine ERK5- Inhibition in der Therapie von beiden Gruppen erfolgreich sein könnte und somit das Leben nahezu aller Melanompatienten betrifft.
This work revealed spin states that are involved in the light generation of organic light-emitting diodes (OLEDs) that are based on thermally activated delayed fluorescence (TADF). First, several donor:acceptor-based TADF systems forming exciplex states were investigated. Afterwards, a TADF emitter that shows intramolecular charge transfer states but also forms exciplex states with a proper donor molecule was studied. The primary experimental technique was electron paramagnetic resonance (EPR), in particular the advanced methods electroluminescence detected magnetic resonance (ELDMR), photoluminescence detected magnetic resonance (PLDMR) and electrically detected magnetic resonance (EDMR). Additional information was gathered from time-resolved and continuous wave photoluminescence measurements.
The first Borono-Strecker reaction has been developed to synthesize α-aminoboronates via a multicomponent reaction of readily available carbonyl compounds (aldehydes and ketones), amines and B2pin2. The preparation of α-amino cyclic boronates can be achieved via multicomponent coupling of salicylaldehydes, amines, and B2(OH)4. In addition, the diazaborole-based PBP pincer palladium chloride and the diazaborole-based PBP pincer palladium trifluoromethanesulfonate complexes were synthesized and fully characterized for the first time, and used as catalysts for Suzuki-Miyaura cross-coupling reactions.
The quantum Hall (QH) effect, which can be induced in a two-dimensional (2D) electron gas by an external magnetic field, paved the way for topological concepts in condensed matter physics. While the QH effect can for that reason not exist without Landau levels, there is a plethora of topological phases of matter that can exist even in the absence of a magnetic field. For instance, the quantum spin Hall (QSH), the quantum anomalous Hall (QAH), and the three-dimensional (3D) topological insulator (TI) phase are insulating phases of matter that owe their nontrivial topology to an inverted band structure. The latter results from a strong spin-orbit interaction or, generally, from strong relativistic corrections. The main objective of this thesis is to explore the fate of these preexisting topological states of matter, when they are subjected to an external magnetic field, and analyze their connection to quantum anomalies. In particular, the realization of the parity anomaly in solid state systems is discussed. Furthermore, band structure engineering, i.e., changing the quantum well thickness, the strain, and the material composition, is employed to manipulate and investigate various topological properties of the prototype TI HgTe.
Like the QH phase, the QAH phase exhibits unidirectionally propagating metallic edge channels. But in contrast to the QH phase, it can exist without Landau levels. As such, the QAH phase is a condensed matter analog of the parity anomaly. We demonstrate that this connection facilitates a distinction between QH and QAH states in the presence of a magnetic field. We debunk therefore the widespread belief that these two topological phases of matter cannot be distinguished, since they are both described by a $\mathbb{Z}$ topological invariant. To be more precise, we demonstrate that the QAH topology remains encoded in a peculiar topological quantity, the spectral asymmetry, which quantifies the differences in the number of states between the conduction and valence band. Deriving the effective action of QAH insulators in magnetic fields, we show that the spectral asymmetry is thereby linked to a unique Chern-Simons term which contains the information about the QAH edge states. As a consequence, we reveal that counterpropagating QH and QAH edge states can emerge when a QAH insulator is subjected to an external magnetic field. These helical-like states exhibit exotic properties which make it possible to disentangle QH and QAH phases. Our findings are of particular importance for paramagnetic TIs in which an external magnetic field is required to induce the QAH phase.
A byproduct of the band inversion is the formation of additional extrema in the valence band dispersion at large momenta (the `camelback'). We develop a numerical implementation of the $8 \times 8$ Kane model to investigate signatures of the camelback in (Hg,Mn)Te quantum wells. Varying the quantum well thickness, as well as the Mn-concentration, we show that the class of topologically nontrivial quantum wells can be subdivided into direct gap and indirect gap TIs. In direct gap TIs, we show that, in the bulk $p$-regime, pinning of the chemical potential to the camelback can cause an onset to QH plateaus at exceptionally low magnetic fields (tens of mT). In contrast, in indirect gap TIs, the camelback prevents the observation of QH plateaus in the bulk $p$-regime up to large magnetic fields (a few tesla). These findings allowed us to attribute recent experimental observations in (Hg,Mn)Te quantum wells to the camelback. Although our discussion focuses on (Hg,Mn)Te, our model should likewise apply to other topological materials which exhibit a camelback feature in their valence band dispersion.
Furthermore, we employ the numerical implementation of the $8\times 8$ Kane model to explore the crossover from a 2D QSH to a 3D TI phase in strained HgTe quantum wells. The latter exhibit 2D topological surface states at their interfaces which, as we demonstrate, are very sensitive to the local symmetry of the crystal lattice and electrostatic gating. We determine the classical cyclotron frequency of surface electrons and compare our findings with experiments on strained HgTe.
DD is a cardiac disturbance, which has gained increasing importance in recent years due to its important role in different cardiac disease and cardiomyopathies including ischemic cardiomyopathy, arterial hypertension and diabetic cardiomyopathy.
ECG-gated 18F-FDG PET is an imaging technique, that can distinguish between districts of myocardial viability and myocardial scars and further provides information of great interest on the efficacy of experimental approaches designed to improve the cardiac function and/or myocardial metabolism in experimental small animal models. However, ECG-gated 18F-FDG PET is a technique whose feasibility in the assessment of the LV diastolic function in small animals has not been a subject of study.
In this thesis, the ability of the ECG-gated 18F-FDG PET for the assessment of both the systolic and diastolic function in eight control rats and in seven ZDF rats, which are an experimental animal model mimicking T2DM conditions and diabetic related complications in humans including DCM, has been investigated The ECG-gated 18F-FDG PET imaging was performed under hyperinsulinemic-euglycemic clamping and the data were stored in list mode files and retrospectively reconstructed. The systolic and diastolic parameters were achieved from the time/volume and the time/filling curve calculated from the software HFV. Additionally, the influence of the number of gates per cardiac cycle on the LV volumes and function parameters has been studied.
Hyperinsulinemic-euglycemic clamp procedure and blood glucose measurement did confirm the development of a manifest diabetes in the ZDF rats at the timepoint of the experiments.
Regarding the systolic parameters, no significant difference could be detected between the ZDF and ZL rats. The values for the CO were similar in both groups, which demonstrates a similar LV systolic function in the ZDF and the ZL rats at the age of 13 weeks. Values for the systolic parameters are in good line with previous PET, MRI and cardiac catheterization-based studies in diabetic rats.
The main finding of this study was that by using in vivo ECG-gated 18F-FDG PET and the software HFV, reliable diastolic parameters could be calculated. Moreover, it was possible to detect the presence of a mild impaired diastolic filling in the ZDF rats in absence of any systolic alteration. This impaired diastolic function in an early stage of diabetes could also be detected by other investigators, who used echocardiography or cardiac catheterization. Therefore, this is the first study showing, that the assessment of the diastolic function in rats can be carried out by ECG-gated 18F-FDG PET imaging.
In conclusion, additionally to calculating LV volumes and LV EF, ECG-gated 18F-FDG PET can evaluate the diastolic function of healthy and diabetic rats and is able to detect a DD in ZDF rats.
Remdesivir is the only FDA-approved drug for the treatment of COVID-19 patients. The active form of remdesivir acts as a nucleoside analog and inhibits the RNA-dependent RNA polymerase (RdRp) of coronaviruses including SARS-CoV-2. Remdesivir is incorporated by the RdRp into the growing RNA product and allows for addition of three more nucleotides before RNA synthesis stalls. Here we use synthetic RNA chemistry, biochemistry and cryoelectron microscopy to establish the molecular mechanism of remdesivir-induced RdRp stalling. We show that addition of the fourth nucleotide following remdesivir incorporation into the RNA product is impaired by a barrier to further RNA translocation. This translocation barrier causes retention of the RNA 3ʹ-nucleotide in the substrate-binding site of the RdRp and interferes with entry of the next nucleoside triphosphate, thereby stalling RdRp. In the structure of the remdesivir-stalled state, the 3ʹ-nucleotide of the RNA product is matched and located with the template base in the active center, and this may impair proofreading by the viral 3ʹ-exonuclease. These mechanistic insights should facilitate the quest for improved antivirals that target coronavirus replication.
Im Zeitraum von 2004 bis 2016 erhielten an der Neurologischen Universitätsklinik Würzburg Patienten mit einer chronisch progredienten Multiplen Sklerose insgesamt 595 Injektionen von intrathekalem Triamcinolonacetonid. Diese Arbeit befasst sich mit Sicherheit, Nebenwirkungen und Wirksamkeit der intrathekalen Therapieform.
Bei der Autoimmunerkrankung Pemphigus vulgaris führen Antikörper zur charakteristischen suprabasalen Akantholyse und Blasenbildung der Epidermis, indem sie an spezifische Antigene, Dsg3 (Desmoglein 3) und Dsg1 (Desmoglein 1), auf der Zelloberfläche der Keratinozyten binden. Die Art und Weise, wie die multiplen zellulären Pathomechanismen zusammenwirken und das potenziell tödliche Krankheitsbild hervorrufen, ist jedoch bislang noch weitgehend unklar. In der vorliegenden Arbeit wurden entscheidende, durch die Autoantikörper hervorgerufene, pathologische intrazelluläre Prozesse genauer untersucht und deren Stellenwert beleuchtet.
Constraining graph layouts - that is, restricting the placement of vertices and the routing of edges to obey certain constraints - is common practice in graph drawing.
In this book, we discuss algorithmic results on two different restriction types:
placing vertices on the outer face and on the integer grid.
For the first type, we look into the outer k-planar and outer k-quasi-planar graphs, as well as giving a linear-time algorithm to recognize full and closed outer k-planar graphs Monadic Second-order Logic.
For the second type, we consider the problem of transferring a given planar drawing onto the integer grid while perserving the original drawings topology;
we also generalize a variant of Cauchy's rigidity theorem for orthogonal polyhedra of genus 0 to those of arbitrary genus.
G-protein-coupled receptors (GPCRs) regulate diverse physiological processes in the human body and represent prime targets in modern drug discovery. Engagement of different ligands to these membrane-embedded proteins evokes distinct receptor conformational rearrangements that facilitate subsequent receptor-mediated signalling and, ultimately, enable cellular adaptation to altered environmental conditions. Since the early 2000s, the technology of resonance energy transfer (RET) has been exploited to assess these conformational receptor dynamics in living cells and real time. However, to date, these conformational GPCR studies are restricted to single-cell microscopic setups, slowing down the discovery of novel GPCR-directed therapeutics. In this work, we present the development of a novel generalizable high-throughput compatible assay for the direct measurement of GPCR activation and deactivation. By screening a variety of energy partners for fluorescence (FRET) and bioluminescence resonance energy transfer (BRET), we identified a highly sensitive design for an α2A-adrenergic receptor conformational biosensor. This biosensor reports the receptor’s conformational change upon ligand binding in a 96-well plate reader format with the highest signal amplitude obtained so far. We demonstrate the capacity of this sensor prototype to faithfully quantify efficacy and potency of GPCR ligands in intact cells and real time. Furthermore, we confirm its universal applicability by cloning and validating five further equivalent GPCR biosensors. To prove the suitability of this new GPCR assay for screening purposes, we measured the well-accepted Z-factor as a parameter for the assay quality. All tested biosensors show excellent Z-factors indicating outstanding assay quality. Furthermore, we demonstrate that this assay provides excellent throughput and presents low rates of erroneous hit identification (false positives and false negatives). Following this phase of assay development, we utilized these biosensors to understand the mechanism and consequences of the postulated modulation of parathyroid hormone receptor 1 (PTHR1) through receptor activity-modifying protein 2 (RAMP2). We found that RAMP2 desensitizes PTHR1, but not the β2-adrenergic receptor (β2AR), for agonist-induced structural changes. This generalizable sensor design offers the first possibility to upscale conformational GPCR studies, which represents the most direct and unbiased approach to monitor receptor activation and deactivation. Therefore, this novel technology provides substantial advantages over currently established methods for GPCR ligand screening. We feel confident that this technology will aid the discovery of novel types of GPCR ligands, help to identify the endogenous ligands of so-called orphan GPCRs and deepen our understanding of the physiological regulation of GPCR function.
Nach Stimulierung mit einem IP3-Rezeptor Agonisten wird die mitochondriale Ca2+-Aufnahme stimuliert. Wenn diese mitochondriale Ca2+-Aufnahme durch Dantrolen oder Ru360 blockiert wird, dann steigt nachfolgend das zytosolische [Ca2+] an. Nach Blockierung des mRyR durch Dantrolen steigt zusätzlich durch die Beeinflussung der passiven Komponente des nukleären Ca2+-Transienten das nukleäre [Ca2+] an. Dieses erhöhte nukleäre [Ca2+] hat letztlich eine Hypertrophie zur Folge. Somit können Mitochondrien, die in ihrer Funktion gestört sind, zur Entwicklung der Hypertrophie beitragen.
These days, we are living in a digitalized world. Both our professional and private lives are pervaded by various IT services, which are typically operated using distributed computing systems (e.g., cloud environments). Due to the high level of digitalization, the operators of such systems are confronted with fast-paced and changing requirements. In particular, cloud environments have to cope with load fluctuations and respective rapid and unexpected changes in the computing resource demands. To face this challenge, so-called auto-scalers, such as the threshold-based mechanism in Amazon Web Services EC2, can be employed to enable elastic scaling of the computing resources. However, despite this opportunity, business-critical applications are still run with highly overprovisioned resources to guarantee a stable and reliable service operation. This strategy is pursued due to the lack of trust in auto-scalers and the concern that inaccurate or delayed adaptations may result in financial losses.
To adapt the resource capacity in time, the future resource demands must be "foreseen", as reacting to changes once they are observed introduces an inherent delay. In other words, accurate forecasting methods are required to adapt systems proactively. A powerful approach in this context is time series forecasting, which is also applied in many other domains. The core idea is to examine past values and predict how these values will evolve as time progresses. According to the "No-Free-Lunch Theorem", there is no algorithm that performs best for all scenarios. Therefore, selecting a suitable forecasting method for a given use case is a crucial task. Simply put, each method has its benefits and drawbacks, depending on the specific use case. The choice of the forecasting method is usually based on expert knowledge, which cannot be fully automated, or on trial-and-error. In both cases, this is expensive and prone to error.
Although auto-scaling and time series forecasting are established research fields, existing approaches cannot fully address the mentioned challenges: (i) In our survey on time series forecasting, we found that publications on time series forecasting typically consider only a small set of (mostly related) methods and evaluate their performance on a small number of time series with only a few error measures while providing no information on the execution time of the studied methods. Therefore, such articles cannot be used to guide the choice of an appropriate method for a particular use case; (ii) Existing open-source hybrid forecasting methods that take advantage of at least two methods to tackle the "No-Free-Lunch Theorem" are computationally intensive, poorly automated, designed for a particular data set, or they lack a predictable time-to-result. Methods exhibiting a high variance in the time-to-result cannot be applied for time-critical scenarios (e.g., auto-scaling), while methods tailored to a specific data set introduce restrictions on the possible use cases (e.g., forecasting only annual time series); (iii) Auto-scalers typically scale an application either proactively or reactively. Even though some hybrid auto-scalers exist, they lack sophisticated solutions to combine reactive and proactive scaling. For instance, resources are only released proactively while resource allocation is entirely done in a reactive manner (inherently delayed); (iv) The majority of existing mechanisms do not take the provider's pricing scheme into account while scaling an application in a public cloud environment, which often results in excessive charged costs. Even though some cost-aware auto-scalers have been proposed, they only consider the current resource demands, neglecting their development over time. For example, resources are often shut down prematurely, even though they might be required again soon.
To address the mentioned challenges and the shortcomings of existing work, this thesis presents three contributions: (i) The first contribution-a forecasting benchmark-addresses the problem of limited comparability between existing forecasting methods; (ii) The second contribution-Telescope-provides an automated hybrid time series forecasting method addressing the challenge posed by the "No-Free-Lunch Theorem"; (iii) The third contribution-Chamulteon-provides a novel hybrid auto-scaler for coordinated scaling of applications comprising multiple services, leveraging Telescope to forecast the workload intensity as a basis for proactive resource provisioning. In the following, the three contributions of the thesis are summarized:
Contribution I - Forecasting Benchmark
To establish a level playing field for evaluating the performance of forecasting methods in a broad setting, we propose a novel benchmark that automatically evaluates and ranks forecasting methods based on their performance in a diverse set of evaluation scenarios. The benchmark comprises four different use cases, each covering 100 heterogeneous time series taken from different domains. The data set was assembled from publicly available time series and was designed to exhibit much higher diversity than existing forecasting competitions. Besides proposing a new data set, we introduce two new measures that describe different aspects of a forecast. We applied the developed benchmark to evaluate Telescope.
Contribution II - Telescope
To provide a generic forecasting method, we introduce a novel machine learning-based forecasting approach that automatically retrieves relevant information from a given time series. More precisely, Telescope automatically extracts intrinsic time series features and then decomposes the time series into components, building a forecasting model for each of them. Each component is forecast by applying a different method and then the final forecast is assembled from the forecast components by employing a regression-based machine learning algorithm. In more than 1300 hours of experiments benchmarking 15 competing methods (including approaches from Uber and Facebook) on 400 time series, Telescope outperformed all methods, exhibiting the best forecast accuracy coupled with a low and reliable time-to-result. Compared to the competing methods that exhibited, on average, a forecast error (more precisely, the symmetric mean absolute forecast error) of 29%, Telescope exhibited an error of 20% while being 2556 times faster. In particular, the methods from Uber and Facebook exhibited an error of 48% and 36%, and were 7334 and 19 times slower than Telescope, respectively.
Contribution III - Chamulteon
To enable reliable auto-scaling, we present a hybrid auto-scaler that combines proactive and reactive techniques to scale distributed cloud applications comprising multiple services in a coordinated and cost-effective manner. More precisely, proactive adaptations are planned based on forecasts of Telescope, while reactive adaptations are triggered based on actual observations of the monitored load intensity. To solve occurring conflicts between reactive and proactive adaptations, a complex conflict resolution algorithm is implemented. Moreover, when deployed in public cloud environments, Chamulteon reviews adaptations with respect to the cloud provider's pricing scheme in order to minimize the charged costs. In more than 400 hours of experiments evaluating five competing auto-scaling mechanisms in scenarios covering five different workloads, four different applications, and three different cloud environments, Chamulteon exhibited the best auto-scaling performance and reliability while at the same time reducing the charged costs. The competing methods provided insufficient resources for (on average) 31% of the experimental time; in contrast, Chamulteon cut this time to 8% and the SLO (service level objective) violations from 18% to 6% while using up to 15% less resources and reducing the charged costs by up to 45%.
The contributions of this thesis can be seen as major milestones in the domain of time series forecasting and cloud resource management. (i) This thesis is the first to present a forecasting benchmark that covers a variety of different domains with a high diversity between the analyzed time series. Based on the provided data set and the automatic evaluation procedure, the proposed benchmark contributes to enhance the comparability of forecasting methods. The benchmarking results for different forecasting methods enable the selection of the most appropriate forecasting method for a given use case. (ii) Telescope provides the first generic and fully automated time series forecasting approach that delivers both accurate and reliable forecasts while making no assumptions about the analyzed time series. Hence, it eliminates the need for expensive, time-consuming, and error-prone procedures, such as trial-and-error searches or consulting an expert. This opens up new possibilities especially in time-critical scenarios, where Telescope can provide accurate forecasts with a short and reliable time-to-result.
Although Telescope was applied for this thesis in the field of cloud computing, there is absolutely no limitation regarding the applicability of Telescope in other domains, as demonstrated in the evaluation. Moreover, Telescope, which was made available on GitHub, is already used in a number of interdisciplinary data science projects, for instance, predictive maintenance in an Industry 4.0 context, heart failure prediction in medicine, or as a component of predictive models of beehive development. (iii) In the context of cloud resource management, Chamulteon is a major milestone for increasing the trust in cloud auto-scalers. The complex resolution algorithm enables reliable and accurate scaling behavior that reduces losses caused by excessive resource allocation or SLO violations. In other words, Chamulteon provides reliable online adaptations minimizing charged costs while at the same time maximizing user experience.
In der vorliegenden klinischen retrospektiven Studie wurden 147 Goldteilkronen und 149 Keramikteilkronen an 296 Patienten nachuntersucht. Der Beobachtungszeitraum umfasste 9-25 Jahre nach Insertion (M = 14,28, SD = 3,59).
Die systematische Bewertung der Restaurationsqualität beruhte auf modifizierten USPHS-Kriterien, klinischen Parametern sowie einer röntgenologischen Beurteilung anhand eines Zahnfilms.
Die Goldteilkronen waren zu 68% (n = 100), Keramikteilkronen zu 75,2% (n = 112) in einem exzellenten bis akzeptablen Zustand. Eine Reparatur unter Erhalt der Restauration war bei 25,9% (n = 38) der Gold- und 20,8% (n = 31) der Keramikrestaurationen notwendig. Goldrestaurationen konnten in 6,1% der Fälle (n = 9) nicht erhalten werden, Keramikrestaurationen in 4% der Fälle (n = 6).
Die Qualität der Keramikrestaurationen war hinsichtlich der Kriterien Randverfärbung, Oberflächendefekte/Retention, Randqualität und Karies niedriger als die der hochgold-haltigen Restaurationen. Die Gesamtqualität wies keine signifikanten Unterschiede zwischen den Restaurationsgruppen auf. Vorhandene Plaqueakkumulation, erhöhtes Kariesrisiko und steigendes Patientenalter wirkten sich qualitätsmindernd auf die indirekten Restaurationen aus.
Gold- und Keramikteilkronen wiesen zufriedenstellende klinische Ergebnisse auf und können gleichermaßen als langfristige, hochqualitative Versorgung für ausgedehnte Defekte im Seitenzahnbereich angesehen werden.
Ziel der prospektiven, klinischen und multizentrischen Kohortenstudie war die Untersuchung des Einflusses demographischer (Alter, SÖS), psychologischer (KIDSCREEN-10, RSES, SDQ) und kieferorthopädischer Parameter auf die Mundgesundheitsbezogene Lebensqualität (COHIP-G19) von Kindern und Jugendlichen. Hierzu wurden 250 kieferorthopädische Patienten akquiriert. Die Ergebnisse zeigten signifikante Zusammenhänge zwischen der Mundgesundheitsbezogenen Lebensqualität und: (1) dem Alter, (2) der gesundheitsbezogenen Lebensqualität, (3) dem Selbstwertgefühl, (4) Verhaltensauffälligkeiten, (5) dem objektiven kieferorthopädischen Behandlungsbedarf, (6) spezifischen kieferorthopädischen Befunden.
Rezeptor-vermittelte Chemotherapie von ovarialen Karzinomzellen mit Disorazol-GnRH-Konjugaten
(2021)
Das Ovarialkarzinom stellt einen häufigen maligen Tumor der Frau dar, der meist spät diagnostiziert wird. Therapeutische Optionen sind nur eingeschränkt verfügbar und nebenwirkungsbehaftet. In der modernen Tumortherapie sind zielgerichtete medikamentöse Ansätze von immer größer Bedeutung und sind bei verschiedenen Entitäten bereits zugelassen. Da Ovarialkarzinome häufig GnRH-Rezeptoren exprimieren, stellt dies einen guten Angriffspunkt für mögliche Therapeutika dar.
In dieser Arbeit wurde die Wirkung von Disorazol, einem potenten Zytotoxin, in Kopplung an GnRH auf Ovarialkarzinom-Zellen untersucht. Unter anderem wurden hierbei RT-PCR, Kristallviolettversuche, WST-Versuche und FACS-Analysen durchgeführt.
Molekularbiologisch war eine deutliche Expression von GnRH-Rezeptoren auf ovarialen Karzinomzellen zu sehen. Es zeigte sich eine spezifische Toxizität von GnRH-Disorazol-Konjugaten auf Ovarialkarzinom-Zelllinien und andere GnRH-tragende Zellen. Lymphozyten aus dem peripheren Blut waren nicht im besonderen Maße anfällig für Disorazol. Verapamil konnte in einzelnen Zelllinien die Toxizität des Konjugats verstärken, eine Cisplatin-Resistenz hatte jedoch keinen Einfluss darauf. Apoptose-inhibierende Substanzen wie zVAD verminderten den Anteil an toten Zellen, Necrostatin war dazu nicht in der Lage.
Die spezifische Wirksamkeit von GnrH gekoppeltem Disorazol auf Ovarialkarzinomzellen bestätigt das ursprüngliche Therapiekonzept. Eine ausgeprägtere Hämatotoxizität konnte nicht nachgewiesen werden, was im Hinblick auf den klinischen Einsatz eine bedeutende Rolle spielt. Da einige weitere Entitäten wie das triple-negative Mamma-Karzinom GnRH-Rezeptor-exprimierende Zellen aufweisen, ist ein Einsatz auch in diesen Krankheitsbildern denkbar.
Fluorescence microscopy is a form of light microscopy that has developed during the 20th century and is nowadays a standard tool in Molecular and Cell biology for studying the structure and function of biological molecules. High-resolution fluorescence microscopy techniques, such as dSTORM (direct Stochastic Optical Reconstruction Microscopy) allow the visualization of cellular structures at the nanometre scale (10−9 m). This has already made it possible to decipher the composition and function of various biopolymers, such as proteins, lipids and nucleic acids, up to the three-dimensional (3D) structure of entire organelles. In practice, however, it has been shown that these imaging methods and their further developments still face great challenges in order to achieve an effective resolution below ∼ 10 nm. This is mainly due to the nature of labelling biomolecules. For the detection of molecular structures, immunostaining is often performed as a standard method. Antibodies to which fluorescent molecules are coupled, recognize and bind specifcally and with high affnity to the molecular section of the target structure, also called epitope or antigen. The fluorescent molecules serve as reporter molecules which are imaged with the use of a fluorescence microscope. However, the size of these labels with a length of about 10-15 nm in the case of immunoglobulin G (IgG) antibodies, cause a detection of the fluorescent molecules shifted to the real position of the studied antigen. In dense regions where epitopes are located close to each other, steric hindrance between antibodies can also occur and leads to an insuffcient label density. Together with the shifted detection of fluorescent molecules, these factors can limit the achievable resolution of a microscopy technique. Expansion microscopy (ExM) is a recently developed technique that achieves a resolution improvement by physical expansion of an investigated object. Therefore, biological samples such as cultured cells, tissue sections, whole organs or isolated organelles are chemically anchored into a swellable polymer. By absorbing water, this so-called superabsorber increases its own volume and pulls the covalently bound biomolecules isotropically apart. Routinely, this method achieves a magnifcation of the sample by about four times its volume. But protocol variants have already been developed that result in higher expansion factors of up to 50-fold. Since the ExM technique includes in the frst instance only the sample treatment for anchoring and magnifcation of the sample, it can be combined with various standard methods of fluorescence microscopy. In theory, the resolution of the used imaging technique improves linearly with the expansion factor of the ExM treated sample. However, an insuffcient label density and the size of the antibodies can here again impair the effective achievable resolution. The combination of ExM with high-resolution fluorescence microscopy methods represents a promising strategy to increase the resolution of light microscopy. In this thesis, I will present several ExM variants I developed which show the combination of ExM with confocal microscopy, SIM (Structured Illumination Microscopy), STED (STimulated Emission Depletion) and dSTORM. I optimized existing ExM protocols and developed different expansion strategies, which allow the combination with the respective imaging technique. Thereby, I gained new structural insights of isolated centrioles from the green algae Chlamydomonas reinhardtii by combining ExM with STED and confocal microscopy. In another project, I combined 3D-SIM imaging with ExM and investigated the molecular structure of the so-called synaptonemal complex. This structure is formed during meiosis in eukaryotic cells and contributes to the exchange of genetic material between homologous chromosomes. Especially in combination with dSTORM, the ExM method showed its high potential to overcome the limitations of modern fluorescence microscopy techniques. In this project, I expanded microtubules in mammalian cells, a polymer of the cytoskeleton as well as isolated centrioles from C. reinhardtii. By labelling after expansion of the samples, I was able to signifcantly reduce the linkage error of the label and achieve an improved label density. In future, these advantages together with the single molecule sensitivity and high resolution obtained by the dSTORM method could pave the way for achieving molecular resolution in fluorescence microscopy
Strahlentherapie des Zervixkarzinoms untergliedert sich in die Teletherapie von extrakorporal und die Brachytherapie von intrauterin und intravaginal. Während in Bezug auf die Teletherapie international standardisierte Therapieschemata bestehen, fehlen diese bei der Brachytherapie. In Würzburg wurde ein Therapieregime von 3x8,5 Gy gewählt, während in anderen Therapierzentren mit z.B. 4x7 Gy oder 5x6 Gy bestrahlt wurde. Somit wurden in Würzburg deutlich höheren Einzeldosen appliziert.
Ziel der Arbeit war es, das in Würzburg angewandte Fraktionierungsschema auf Verträglichkeit und Effektivität zu überprüfen. In die Studie eingeschlossen wurden 74 Patientinnen, die zwischen Februar 1999 und September 2014 bei gesichertem Zervixkarzinom einer primären Radiochemotherapie unterzogen wurden. In einem medianen Follow-Up von 48 Monaten wurden Nebenwirkungen an Blase und Rektum sowie lokale und regionäre Rezidive und Fernmetastasen erhoben.
Bei neun Patientinnen (12,2%) wurde am Rektum eine Spätnebenwirkung vom Grad III oder IV nach CTCAE festgestellt, an der Blase wurde dies bei drei Patientinnen (4,8%) gefunden. Bei zwei (2,7%) Patientinnen fand sich ein lokaler, bei drei Patientinnen (4%) ein regionärer Progress. 19 Patientinnen (25,66%) entwickelten Fernmetastasen.
Es zeigte sich zusammenfassend, dass es im Rahmen des angewandten Therapieschemas zu einer im internationalen Vergleich sehr guten lokalen Kontrolle kam bei vor allem am Rektum leicht erhöhten höhergradigen Nebenwirkungsraten. Mittels moderner bildgestützter IMRT- und Brachytherapie-Planung werden sich diese Toxizitäten in Zukunft weiter reduzieren lassen.