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Plexus injury often occurs after motor vehicle accidents and results in lifelong disability with severe neuropathic pain. Surgical treatment can partially restore motor functions, but sensory loss and neuropathic pain persist. Regenerative medicine concepts, such as cell replacement therapies for restoring dorsal root ganglia (DRG) function, set high expectations. However, up to now, it is unclear which DRG cell types are affected by nerve injury and can be targeted in regenerative medicine approaches.
This study followed the hypothesis that satellite glial cells (SGCs) might be a suitable endogenous cell source for regenerative medicine concepts in the DRG. SGCs originate from the same neural crest-derived cell lineage as sensory neurons, making them attractive for neural repair strategies in the peripheral nervous system. Our hypothesis was investigated on three levels of experimentation. First, we asked whether adult SGCs have the potential of sensory neuron precursors and can be reprogrammed into sensory neurons in vitro. We found that adult mouse DRG harbor SGC-like cells that can still dedifferentiate into progenitor-like cells. Surprisingly, expression of the early developmental transcription factors Neurog1 and Neurog2 was sufficient to induce neuronal and glial cell phenotypes. In the presence of nerve growth factor, induced neurons developed a nociceptor-like phenotype expressing functional nociceptor markers, such as the ion channels TrpA1, TrpV1 and NaV1.9. In a second set of experiments, we used a rat model for peripheral nerve injury to look for changes in the DRG cell composition. Using an unbiased deep learning-based approach for cell analysis, we found that cellular plasticity responses after nerve injury activate SGCs in the whole DRG. However, neither injury-induced neuronal death nor gliosis was observed. Finally, we asked whether a severe nerve injury changed the cell composition in the human DRG. For this, a cohort of 13 patients with brachial plexus injury was investigated. Surprisingly, in about half of all patients, the injury-affected DRG showed no characteristic DRG tissue. The complete entity of neurons, satellite cells, and axons was lost and fully replaced by mesodermal/connective tissue. In the other half of the patients, the basic cellular entity of the DRG was well preserved. Objective deep learning-based analysis of large-scale bioimages of the “intact” DRG showed no loss of neurons and no signs of gliosis.
This study suggests that concepts for regenerative medicine for restoring DRG function need at least two translational research directions: reafferentation of existing DRG units or full replacement of the entire multicellular DRG structure. For DRG replacement, SGCs of the adult DRG are an attractive endogenous cell source, as the multicellular DRG units could possibly be rebuilt by transdifferentiating neural crest-derived sensory progenitor cells into peripheral sensory neurons and glial cells using Neurog1 and Neurog2.
A closer look at long-established drugs: enantioselective protein binding and stability studies
(2023)
The aim of this work was to investigate older, established drugs. The extent of the protein binding of chiral ephedra alkaloids to AGP and of ketamine to albumin was determined. Since enantiomers of these drugs are individual available, the focus was on possible enantioselective binding and structural moieties involved in the binding.
Previously published work suggested that ephedrine and pseudoephedrine can bind stereoselectively to proteins other than albumin in serum. For the determination of the extent of protein binding, the established ultrafiltration with subsequent chiral CE analysis was used. To determine the influence of basicity on binding, the drugs methylephedrine and norephedrine were also analyzed. Drug binding to AGP increased with increasing basicity as follows: norephedrine < methylephedrine < ephedrine < pseudoephedrine. pKaff was determined both graphically using the Klotz plot and mathematical indicating a low affinity of the ephedra alkaloids to AGP. Using STD-NMR spectroscopy experiments the aromatic protons and the C-CH3 side chain were shown to be most strongly involved in binding, which could be confirmed by molecular docking experiments in more detail. For all drugs, van der Waals-, π π , cationic interactions, hydrogen bonds, and a formation of a salt bridge were observed. The individual enantiomers showed no significant differences and thus the binding of ephedra alkaloids to AGP is not significant.
In contrast to the ephedra alkaloids, the possible enantioselective binding to albumin was investigated for R and S ketamine. Again, ultrafiltration followed by CE analysis was performed. The binding of ketamine to one main binding site could be identified. A non-linear fit was used for the determination of pKaff. Using the NMR methods STD-NMR, waterLOGSY-NMR, and CPMG-NMRspectroscopy: the aromatic protons as well as the protons of the NCH3 methyl group showed the largest signal intensity changes, while the cyclohexanone protons showed the smallest changes. pKaff was also determined by the change in the chemical shift at different drug-protein ratios. These obtained values confirm the values obtained from ultrafiltration. Based on this, ketamine is classified as a low-affinity ligand to albumin. There were no significant differences between the individual enantiomers and thus the binding of ketamine to albumin is not a stereoselective process.
Using statistical design of experiments an efficient chiral CE method for determining the extent of protein binding of R and S ketamine to albumin was developed and validated according to ICH Q2 (R1) guideline.
The stability of ketamine was also investigated because a yellowish discoloration of an aqueous solution of ketamine developed under heat. XRPD investigations showed the same crystal structure for all batches examined. An untargeted screening using LC HRMS as well as LC UV measurements showed no degradation of ketamine or the presence of impurities in stress and non-stressed ketamine solutions, confirming the stability of ketamine under the stress conditions investigated. The lower the quality of the water used in the stress tests, the more intense the yellow discoloration occurred. The impurity or the mechanism that causes the yellow discoloration could not be identified.
This work deals with the acceleration of cardiovascular MRI for the assessment
of functional information in steady-state contrast and for viability assessment
during the inversion recovery of the magnetization. Two approaches
are introduced and discussed in detail. MOCO-MAP uses an exponential
model to recover dynamic image data, IR-CRISPI, with its low-rank plus
sparse reconstruction, is related to compressed sensing.
MOCO-MAP is a successor to model-based acceleration of parametermapping
(MAP) for the application in the myocardial region. To this end, it
was augmented with a motion correction (MOCO) step to allow exponential
fitting the signal of a still object in temporal direction. Iteratively, this
introduction of prior physical knowledge together with the enforcement of
consistency with the measured data can be used to reconstruct an image
series from distinctly shorter sampling time than the standard exam (< 3 s
opposed to about 10 s). Results show feasibility of the method as well as
detectability of delayed enhancement in the myocardium, but also significant
discrepancies when imaging cardiac function and artifacts caused already by
minor inaccuracy of the motion correction.
IR-CRISPI was developed from CRISPI, which is a real-time protocol
specifically designed for functional evaluation of image data in steady-state
contrast. With a reconstruction based on the separate calculation of low-rank
and sparse part, it employs a softer constraint than the strict exponential
model, which was possible due to sufficient temporal sampling density via
spiral acquisition. The low-rank plus sparse reconstruction is fit for the use on
dynamic and on inversion recovery data. Thus, motion correction is rendered
unnecessary with it.
IR-CRISPI was equipped with noise suppression via spatial wavelet filtering.
A study comprising 10 patients with cardiac disease show medical
applicability. A comparison with performed traditional reference exams offer
insight into diagnostic benefits. Especially regarding patients with difficulty
to hold their breath, the real-time manner of the IR-CRISPI acquisition provides
a valuable alternative and an increase in robustness.
In conclusion, especially with IR-CRISPI in free breathing, a major acceleration
of the cardiovascular MR exam could be realized. In an acquisition
of less than 100 s, it not only includes the information of two traditional
protocols (cine and LGE), which take up more than 9.6 min, but also allows
adjustment of TI in retrospect and yields lower artifact level with similar
image quality.
Mammalian embryonic development is subject to complex biological relationships that need to be understood. However, before the whole structure of development can be put together, the individual building blocks must first be understood in more detail. One of these building blocks is the second cell fate decision and describes the differentiation of cells of the inner cell mass of the embryo into epiblast and primitive endoderm cells. These cells then spatially segregate and form the subsequent bases for the embryo and yolk sac, respectively. In organoids of the inner cell mass, these two types of progenitor cells are also observed to form, and to some extent to spatially separate. This work has been devoted to these phenomena over the past three years. Plenty of studies already provide some insights into the basic mechanics of this cell differentiation, such that the first signs of epiblast and primitive endoderm differentiation, are the expression levels of transcription factors NANOG and GATA6. Here, cells with low expression of GATA6 and high expression of NANOG adopt the epiblast fate. If the expressions are reversed, a primitive endoderm cell is formed. Regarding the spatial segregation of the two cell types, it is not yet clear what mechanism leads to this. A common hypothesis suggests the differential adhesion of cell as the cause for the spatial rearrangement of cells. In this thesis however, the possibility of a global cell-cell communication is investigated. The approach chosen to study these phenomena follows the motto "mathematics is biology's next microscope". Mathematical modeling is used to transform the central gene regulatory network at the heart of this work into a system of equations that allows us to describe the temporal evolution of NANOG and GATA6 under the influence of an external signal. Special attention is paid to the derivation of new models using methods of statistical mechanics, as well as the comparison with existing models. After a detailed stability analysis the advantages of the derived model become clear by the fact that an exact relationship of the model parameters and the formation of heterogeneous mixtures of two cell types was found. Thus, the model can be easily controlled and the proportions of the resulting cell types can be estimated in advance. This mathematical model is also combined with a mechanism for global cell-cell communication, as well as a model for the growth of an organoid. It is shown that the global cell-cell communication is able to unify the formation of checkerboard patterns as well as engulfing patterns based on differently propagating signals. In addition, the influence of cell division and thus organoid growth on pattern formation is studied in detail. It is shown that this is able to contribute to the formation of clusters and, as a consequence, to breathe some randomness into otherwise perfectly sorted patterns.
Aging is known to be a risk factor for structural abnormalities and functional decline in the nervous system. Characterizing age-related changes is important to identify putative pathways to overcome deleterious effects and improve life quality for the elderly. In this study, the peripheral nervous system of 24-month-old aged C57BL/6 mice has been investigated and compared to 12-month-old adult mice. Aged mice showed pathological alterations in their peripheral nerves similar to nerve biopsies from elderly human individuals, with nerve fibers showing demyelination and axonal damage. Such changes were lacking in nerves of adult 12-month-old mice and adult, non-aged humans. Moreover, neuromuscular junctions of 24-month-old mice showed increased denervation compared to adult mice. These alterations were accompanied by elevated numbers of macrophages in the peripheral nerves of aged mice. The neuroinflammatory conditions were associated with impaired myelin integrity and with a decline of nerve conduction properties and muscle strength in aged mice.
To determine the pathological impact of macrophages in the aging mice, macrophage depletion was performed in mice by oral administration of CSF-1R specific kinase (c-FMS) inhibitor PLX5622 (300 mg/kg body weight), which reduced the number of macrophages in the peripheral nerves by 70%. The treated mice showed attenuated demyelination, less muscle denervation and preserved muscle strength. This indicates that macrophage-driven inflammation in the peripheral nerves is partially responsible for the age-related neuropathy in mice.
Based on previous observations that systemic inflammation can accelerate disease progression in mouse models of neurodegenerative diseases, it was hypothesized that systemic inflammation can exacerbate the peripheral neuropathy found in aged mice. To investigate this hypothesis, aged C57BL/6 mice were intraperitoneally injected with a single dose of lipopolysaccharide (LPS; 500 μg/kg body weight) to induce systemic inflammation by mimicking bacterial infection, mostly via activation of Toll-like receptors (TLRs). Altered endoneurial macrophage activation, highlighted by Trem2 downregulation, was found in LPS injected aged mice one month after injection. This was accompanied by a so far rarely observed form of axonal perturbation, i.e., the occurrence of “dark axons” characterized by a damaged cytoskeleton and an increased overall electron density of the axoplasm. At the same time, however, LPS injection reduced demyelination and muscle denervation in aged mice. Interestingly, TREM2 deficiency in aged mice led to similar changes to LPS injection. This suggests that LPS injection likely mitigates aging-related demyelination and muscle denervation via Trem2 downregulation.
Taken together, this study reveals the role of macrophage-driven inflammation as a pathogenic mediator in age-related peripheral neuropathy, and that targeting macrophages might be an option to mitigate peripheral neuropathies in aging individuals. Furthermore, this study shows that systemic inflammation may be an ambivalent modifier of age-related nerve damage, leading to a distinct type of axonal perturbation, but in addition to functionally counteracting, dampened demyelination and muscle denervation. Translationally, it is plausible to assume that tipping the balance of macrophage polarization to one direction or the other may determine the functional outcome in the aging peripheral nervous system of the elderly.
Recent computing advances are driving the integration of artificial intelligence (AI)-based systems into nearly every facet of our daily lives. To this end, AI is becoming a frontier for enabling algorithmic decision-making by mimicking or even surpassing human intelligence. Thereupon, these AI-based systems can function as decision support systems (DSSs) that assist experts in high-stakes use cases where human lives are at risk. All that glitters is not gold, due to the accompanying complexity of the underlying machine learning (ML) models, which apply mathematical and statistical algorithms to autonomously derive nonlinear decision knowledge. One particular subclass of ML models, called deep learning models, accomplishes unsurpassed performance, with the drawback that these models are no longer explainable to humans. This divergence may result in an end-user’s unwillingness to utilize this type of AI-based DSS, thus diminishing the end-user’s system acceptance.
Hence, the explainable AI (XAI) research stream has gained momentum, as it develops techniques to unravel this black-box while maintaining system performance. Non-surprisingly, these XAI techniques become necessary for justifying, evaluating, improving, or managing the utilization of AI-based DSSs. This yields a plethora of explanation techniques, creating an XAI jungle from which end-users must choose. In turn, these techniques are preliminarily engineered by developers for developers without ensuring an actual end-user fit. Thus, it renders unknown how an end-user’s mental model behaves when encountering such explanation techniques.
For this purpose, this cumulative thesis seeks to address this research deficiency by investigating end-user perceptions when encountering intrinsic ML and post-hoc XAI explanations. Drawing on this, the findings are synthesized into design knowledge to enable the deployment of XAI-based DSSs in practice. To this end, this thesis comprises six research contributions that follow the iterative and alternating interplay between behavioral science and design science research employed in information systems (IS) research and thus contribute to the overall research objectives as follows: First, an in-depth study of the impact of transparency and (initial) trust on end-user acceptance is conducted by extending and validating the unified theory of acceptance and use of technology model. This study indicates both factors’ strong but indirect effects on system acceptance, validating further research incentives. In particular, this thesis focuses on the overarching concept of transparency. Herein, a systematization in the form of a taxonomy and pattern analysis of existing user-centered XAI studies is derived to structure and guide future research endeavors, which enables the empirical investigation of the theoretical trade-off between performance and explainability in intrinsic ML algorithms, yielding a less gradual trade-off, fragmented into three explainability groups. This includes an empirical investigation on end-users’ perceived explainability of post-hoc explanation types, with local explanation types performing best. Furthermore, an empirical investigation emphasizes the correlation between comprehensibility and explainability, indicating almost significant (with outliers) results for the assumed correlation. The final empirical investigation aims at researching XAI explanation types on end-user cognitive load and the effect of cognitive load on end-user task performance and task time, which also positions local explanation types as best and demonstrates the correlations between cognitive load and task performance and, moreover, between cognitive load and task time. Finally, the last research paper utilizes i.a. the obtained knowledge and derives a nascent design theory for XAI-based DSSs. This design theory encompasses (meta-) design requirements, design principles, and design features in a domain-independent and interdisciplinary fashion, including end-users and developers as potential user groups. This design theory is ultimately tested through a real-world instantiation in a high-stakes maintenance scenario.
From an IS research perspective, this cumulative thesis addresses the lack of research on perception and design knowledge for an ensured utilization of XAI-based DSS. This lays the foundation for future research to obtain a holistic understanding of end-users’ heuristic behaviors during decision-making to facilitate the acceptance of XAI-based DSSs in operational practice.
Glioblastoma (GB) is the most aggressive malignant adult brain tumour with a median survival rate of only 15 months. GB tumours are characterized by necrotic and hypoxic core, which leads to nutrient deficient areas contributing to invasive, diffuseinfiltrative and angiogenic nature of these tumours. Cells exposed to nutrient deficient conditions and are known to reprogram their metabolism to produce or procure macro molecules from their environment. This makes cancer cells uniquely dependent on transcriptional regulators and a window of opportunity to target them. Sterol regulatory element binding protein 1 (SREBP1) is a transcriptional regulator of de-novo fatty acid synthesis in cells. The aim of this thesis was to investigate if SREBP1 was involved in restructuring the transcriptional regulation of genes involved in fatty acid biosynthesis upon low serum condition, in mediating interaction with other cell types in the tumour bulk such as endothelial cells, in regulating cancer stem like cells and finally to study its upstream regulation in GB. Global transcriptional analysis on GB cells exposed to low serum conditions revealed that SREBP1 regulated several fatty acid biosynthesis and phospholipid metabolic processes. PLA2G3 was identified as a novel target of SREBP1 in GB that was uniquely regulated in low serum condition. Analysis of total fatty acid and lipid species revealed that loss of SREBP1 in low serum condition changes the proportion of saturated, MUFAs and PUFAs. These changes were not specific to loss of PLA2G3 but as a result of downregulation of many genes regulated by SREBP1 in the fatty acid biosynthetic pathway. Next, treatment of HUVEC’s (endothelial cells) with condition medium from SREBP1-silenced U87 cells inhibited sprouting and tube formation capacity compared to the control condition, emphasizing the role of SREBP1 in angiogenesis and release of signalling mediators. Further, SREBP1 was shown to be important for proliferation of patient derived stem like cells and becomes indispensable for forming neurospheres in long term cultures, indicating its role in maintaining stemness. Also, inhibition of SREBP function by blocking the esterification of cholesterol using inhibitors targeting SOAT1 showed impairment in the viability of GB cells exposed to serum-depleted condition. Overall, SREBP1 plays an important role in maintaining tumour growth in nutrient deficient conditions and help in interaction with tumour microenvironment contributing to the aggressiveness of this tumour and poses itself as an attractive and unique target for GB treatment
In all the projects presented, it is evident that the selection of suitable separation conditions is only one side of the coin. Equally crucial in the development of methods for the quality assessment of APIs/drugs is the right detection system.
The application of CAD as an alternative to UV detection at low wavelength of the two weak chromophore main degradation products of the very polar, zwitterionic API carbocisteine requires the volatility of the mobile phase. Therefore, as a substitute for the non-volatile ion pairing reagent tetrabutylammonium hydroxide (TBAOH), six different volatile alkylamines as well as a RP/SAX mixed-mode column were evaluated. The best selectivity and separation performance comparable to TBAOH was achieved with the RP/SAX column and a mixture of formic acid and trifluoroacetic acid. For the simultaneous optimisation of the evaporation temperature of the CAD as a function of two chromatographic parameters, a central composite design was chosen and the “desirability function” was subsequently applied for modelling. In addition, column bleeding was investigated with a second RP/SAX column (different batch) with the result that the acetonitrile percentage had to be adjusted and preconditioning by injection of concentrated samples is essential. The final mixed-mode method was finally validated with both columns according to the ICH Q2 (R1) guideline.
Based on this, an MS-compatible method was developed with little effort using an identical RP/SAX column in UPLC dimension for the untargeted analysis by HRMS of two carbocisteine-containing prototype syrup formulations. For a comprehensive characterisation, HRMS and MS/HRMS data were recorded simultaneously by information dependent acquisition mode. Based on the exact masses, isotope patterns and an in silico plausibility check of the fragment spectra, the prediction of the structures of the unknown impurities was possible. In both syrup samples, which had been stored for nine months at 40 °C and 75 % r.h., two additional impurities of carbocisteine (i.e. lactam of the sulfoxides and disulphide between cysteine and thioglycolic acid) were identified by comparison with the corresponding prototype placebo samples using general unknown comparative screening. In addition, the formation of Maillard products by binary mixtures with 13C-labelled sugars was revealed in the sucrose-containing formulation.
For the promising hyphenation of the UV detector with the CAD for the simultaneous detection of all UV-active impurities of the cholesterol-lowering drug simvastatin and the only weak chromophore dihydrosimvastatin, the Ph. Eur. method had to be adapted. Besides replacing phosphoric acid with trifluoroacetic acid, the gradient also had to be adjusted and a third critical peak pair was observed. Based on validation experiments (according to the ICH Q2 (R1) guideline), the suitability of the CAD for sensitive detection (LOQ = 0.0175 % m/m) was proven.
To further investigate the robustness of the adapted method and CAD, a Plackett-Burman design was chosen. None of the factors had a statistically significant effect on the S/N of the CAD in the ranges tested. Regarding the three critical peak pairs, on the other hand, the factors to be controlled were statistically established, so that a targeted correction is possible if the system suitability test is not passed. The idea of employing a hyphenated UV-CAD system was finally applied to the structurally closely related lovastatin and its specified impurity dihydrolovastatin. Here, the CAD showed a significantly better S/N compared to the compendial UV detection at 200 nm.
The suitability of CAD for the analysis of non-volatile fatty acids in polysorbate 80 (PS80) as favourable alternative to the Ph. Eur. GC method (no time-consuming, error-prone and toxic derivatisation) has already been demonstrated. The aim of this project was therefore to develop a robust method with a focus on the AQbD principles, which can be used for the analysis of other excipients with similar fatty acid composition. After the definition of the analytical target profile and a risk assessment by means of an Ishikawa diagram, a suitable C18 column and the chromatographic framework conditions (formic acid concentration and initial/final gradient conditions) were selected after only few preliminary runs. The remaining critical method parameters were then investigated with the help of DoE and RSM. Using the obtained model equations, Monte Carlo simulations were performed to create the method operable design region as a region of theoretical robustness. After validation according to ICH Q2 (R1), the fatty acid composition of a magnesium stearate batch was successfully analysed as a further application example in addition to PS80.
The CAD was able to prove its potential in all the issues investigated in the context of this doctoral thesis. As a cost-effective alternative compared to MS instruments, it thus closes a gap in the quality assessment of APIs or excipients without a suitable chromophore. The easy method transfer to (HR)MS instruments also allows for a unique degree of sample characterisation through untargeted approaches in case of new impurities. For resource- and time-efficient work, the possibilities and limitations of software tools for method development and data evaluation as well as the application of risk-based approaches such as AQbD should also be considered.
Dietary fatty acids serve as objective biomarkers for the estimation of habitual diet mainly because biomarkers are free of memory bias or inaccuracies of food databases. The aim of the present work encompassed the implementation of a gas chromatographical method coupled with a mass spectrometrical and flame-ionization detector for analysis of fatty acid biomarkers in human biospecimens, their analytical determination and statistical evaluation in two different study populations and different biospecimens as well as the elaboration of adverse reactions to food ingredients with special focus on food allergies and food intolerances in the context of a possible implementation into an application for consumer health. The first aim was the identification of potential influence of fatty acid biomarkers on desaturase and elongase indexes (Δ9DI, Δ6DI, Δ5DI and ELOVLI5), which are factors in type 2 diabetes risk, in breast adipose tissue from healthy women. Influence of further variables on respective indexes was also investigated. 40 samples were investigated and potential variables were either collected by questionnaire or determined. Principle component analysis was applied for fatty acid biomarkers (PCdiet1, PCdiet2 and PCdiet3 representative for the dietary intake of vegetable oils/nuts, fish and partially hydrogenated vegetable oils), endogenous estrogens (PCE1) and oxysterols (PCOxy1). Multiple linear regression models were applied. Δ9DI and Δ6DI were influenced non-significantly and significantly negatively by PCdiet2 supporting a putative beneficial effect of vegetable oils and nuts on type 2 diabetes risk factors. ELOVLI5 and Δ5DI were influenced significantly and non-significantly positively by PCdiet1 supporting a putative beneficial effect of fish consumption on type 2 diabetes risk factors. On the other hand, PCdiet1 also significantly and non-significantly positively influenced Δ9DI and Δ6DI supporting a putative adverse effect of fish biomarkers on type 2 diabetes risk factors. The opposing influences of PCdiet1 suggesting an ambivalent role of dietary intake of fish on investigated indexes. Δ6DI was significantly positively influenced by PCdiet3 and number of pregnancies supporting a putative adverse effect of partially hydrogenated vegetable oils and pregnancies on type 2 diabetes risk factors. Lifestyle factors like smoking significantly and non-significantly influenced Δ9DI and Δ6DI putatively adversely. Δ5DI was influenced significantly positively by estrogen active drugs suggesting a putative beneficial effect on type 2 diabetes risk factors. It must be considered that a variation coefficient of up to 0.44 only explained 44% of variance of the respective indexes, suggesting other influencing factors might play a role. The second aim was the implementation of a gas chromatographical method coupled with a mass spectrometrical and flame-ionization detector for analysis of fatty acid biomarkers in human biospecimens. The method was optimized for separation and detection of 40 fatty acids. Mean recovery for tridecanoic acid was x(tridecanoic acid) = 90.51% and for nonadecanoic acid x(nonadecanoic acid) = 96.21%. Thus, there was no significant loss of fatty acids with shorter and longer carbon chains over the extraction process to be expected. Limit of detections were calculated in adipose tissue samples and ranged from 0.007 to 0.077% of the proportion of the respective fatty acid to total fatty acids. The third aim was the investigation if differentiation between breast glandular and adipose tissue had a relevant impact on the analysis of dietary fatty acid biomarkers or if contamination of breast glandular with breast adipose tissue and vice versa was neglectable for the analysis of dietary fatty acid biomarkers. No statistical significant differences were observed for all investigated fatty acid biomarkers (pentadecanoic-, heptadecanoic-, trans palmitoleic-, eicosapentaenoic-, docosahexaenoic-, linoleic and α-linolenic acid) between breast glandular and adipose tissue. Thus, differentiation between breast glandular and adipose tissue seems not to be necessary for the analysis of fatty acids serving as biomarkers for the intake of specific food groups. Potential influence of mixed breast tissue on fatty acid biomarkers analysis seems to be neglectable. The fourth aim was the determination of fatty acid biomarkers in adipose tissue in another study population from healthy participants. 27 adipose tissue samples were analyzed. Milk and ruminant fat biomarkers exhibited proportions of 0.47% for pentadecanoic acid, 0.34% for heptadecanoic acid and 0.25% for trans palmitoleic acid. Fish fatty acid biomarkers revealed proportions of 0.034% for eicosapentaenoic acid and 0.061% for docosahexaenoic acid. The mean proportion of vegetable oils and nuts biomarkers were 9.58% for linoleic acid and 0.48% for α-linolenic acid in all adipose tissues. Principle component analysis was applied for the fatty acid biomarkers to provide objective markers of habitual diet for this study population. PCdiet1 was mainly characterized by pentadecanoic acid, heptadecanoic acid and trans palmitoleic acid and therefore served as a principle component for the dietary intake of milk and ruminant fat. PCdiet2 and PCdiet3 only exhibited pattern for ω3 and ω6 fatty acids but not for dietary intake of specific food groups and could therefore not used as objective marker. PCdiet1, 2 and 3 explained 82.76% of variance. The last aim of this thesis was the elaboration of adverse reactions to food ingredients with special focus on food allergies and food intolerances in the context of a possible implementation into an application for consumer health. Scientific information on adverse reactions to food ingredients and trigger substances was provided in this thesis and possible implementation strategies were evaluated. For food allergens, which have regulatory requirements in the context of labelling, a strategy was elaborated, where it is necessary to provide information on the list of ingredients, the nexus ’contain’ and the respective food allergen as well as information on the name of the product. For food intolerances, which do not have regulatory requirements, limits were shown in the context of the application. If the elaborated food intolerances shall be implemented into the application, a professional dietary concept has to be developed for every food intolerance because of the complexity of the implementation.
In this thesis, we are interested in numerically preserving stationary solutions of balance laws. We start by developing finite volume well-balanced schemes for the system of Euler equations and the system of MHD equations with gravitational source term. Since fluid models and kinetic models are related, this leads us to investigate AP schemes for kinetic equations and their ability to preserve stationary solutions. Kinetic models typically have a stiff term, thus AP schemes are needed to capture good solutions of the model. For such kinetic models, equilibrium solutions are reached after large time. Thus we need a new technique to numerically preserve stationary solutions for AP schemes. We find a criterion for SP schemes for kinetic equations which states, that AP schemes under a particular discretization are also SP. In an attempt to mimic our result for kinetic equations in the context of fluid models, for the isentropic Euler equations we developed an AP scheme in the limit of the Mach number going to zero. Our AP scheme is proven to have a SP property under the condition that the pressure is a function of the density and the latter is obtained as a solution of an elliptic equation. The properties of the schemes we developed and its criteria are validated numerically by various test cases from the literature.
This thesis, first, is devoted to the theoretical and numerical investigation of an augmented Lagrangian method for the solution of optimization problems with geometric constraints, subsequently, as well as constrained structured optimization problems featuring a composite objective function and set-membership constraints. It is then concerned to convergence and rate-of-convergence analysis of proximal gradient methods for the composite optimization problems in the presence of the Kurdyka--{\L}ojasiewicz property without global Lipschitz assumption.
This dissertation presents a comprehensive exploration of the bamboo branch song (zhuzhici 竹枝詞), a classical Chinese poetry genre. One of the defining features of the bamboo branch song genre is its emphasis on all aspects of local culture. As a result, these poems typically have a specific focus on a particular place. This dissertation takes the bamboo branch songs of Shandong Province as its primary subject. The dissertation is divided into two parts. The first section focuses on a cultural study of the bamboo branch song genre. By examining the genre, this dissertation concludes that the bamboo branch song is a genre of vernacular poetry in imperial China. The language has a vernacular style, and the content has a clear focus on local affairs. The subsequent section delves into the Bamboo Branch Songs of Shandong Province, with almost 2,000 poems collected from different sources. From everyday routines to customs, travel culture, and historical episodes, the poems cover a wide range of topics, offering a detailed glimpse into the various facets of the region's society. Women play a significant role in the poems about social life in Bamboo Branch Songs of Shandong Province. They were often the central figures in the ceremonies of festivals, and their behaviour was given special attention. The bamboo branch song genre has an internal character as a form of travel writing. The poems were usually written by authors who had made observations on their journeys. This dissertation delves into the travel culture of the capital Ji'nan, through the lens of bamboo branch songs, providing valuable insights into the region. Another common motif of bamboo branch songs is history. Some nostalgic poems deal with local historical sites, events, legends and personalities. This dissertation finds that these poems contain unique historical information with a microcosmic and individual perspective.
In this in-vitro study, teeth were imaged using photoacoustic tomography (PAT), cone-beam computed tomography (CBCT), and micro-computed tomography (µ-CT). The study had aim: to identify the best wavelength for PAT images to determine the accuracy of the three imaging methods, and to determine whether PAT images of teeth can achieve acceptable reconstruction quality.
Attention-deficit/hyperactivity disorder (ADHD) is the most prevalent neurodevelopmental disorder described in psychiatry today. ADHD arises during early childhood and is characterized by an age-inappropriate level of inattention, hyperactivity, impulsivity, and partially emotional dysregulation. Besides, substantial psychiatric comorbidity further broadens the symptomatic spectrum. Despite advances in ADHD research by genetic- and imaging studies, the etiopathogenesis of ADHD remains largely unclear. Twin studies suggest a heritability of 70-80 % that, based on genome-wide investigations, is assumed to be polygenic and a mixed composite of small and large, common and rare genetic variants. In recent years the number of genetic risk candidates is continuously increased. However, for most, a biological link to neuropathology and symptomatology of the patient is still missing. Uncovering this link is vital for a better understanding of the disorder, the identification of new treatment targets, and therefore the development of a more targeted and possibly personalized therapy.
The present thesis addresses the issue for the ADHD risk candidates GRM8, FOXP2, and GAD1. By establishing loss of function zebrafish models, using CRISPR/Cas9 derived mutagenesis and antisense oligonucleotides, and studying them for morphological, functional, and behavioral alterations, it provides novel insights into the candidate's contribution to neuropathology and ADHD associated phenotypes. Using locomotor activity as behavioral read-out, the present work identified a genetic and functional implication of Grm8a, Grm8b, Foxp2, and Gad1b in ADHD associated hyperactivity. Further, it provides substantial evidence that the function of Grm8a, Grm8b, Foxp2, and Gad1b in activity regulation involves GABAergic signaling. Preliminary indications suggest that the three candidates interfere with GABAergic signaling in the ventral forebrain/striatum. However, according to present and previous data, via different biological mechanisms such as GABA synthesis, transmitter release regulation, synapse formation and/or transcriptional regulation of synaptic components. Intriguingly, this work further demonstrates that the activity regulating circuit, affected upon Foxp2 and Gad1b loss of function, is involved in the therapeutic effect mechanism of methylphenidate. Altogether, the present thesis identified altered GABAergic signaling in activity regulating circuits in, presumably, the ventral forebrain as neuropathological underpinning of ADHD associated hyperactivity. Further, it demonstrates altered GABAergic signaling as mechanistic link between the genetic disruption of Grm8a, Grm8b, Foxp2, and Gad1b and ADHD symptomatology like hyperactivity. Thus, this thesis highlights GABAergic signaling in activity regulating circuits and, in this context, Grm8a, Grm8b, Foxp2, and Gad1b as exciting targets for future investigations on ADHD etiopathogenesis and the development of novel therapeutic interventions for ADHD related hyperactivity. Additionally, thigmotaxis measurements suggest Grm8a, Grm8b, and Gad1b as interesting candidates for prospective studies on comorbid anxiety in ADHD. Furthermore, expression analysis in foxp2 mutants demonstrates Foxp2 as regulator of ADHD associated gene sets and neurodevelopmental disorder (NDD) overarching genetic and functional networks with possible implications for ADHD polygenicity and comorbidity. Finally, with the characterization of gene expression patterns and the generation and validation of genetic zebrafish models for Grm8a, Grm8b, Foxp2, and Gad1b, the present thesis laid the groundwork for future research efforts, for instance, the identification of the functional circuit(s) and biological mechanism(s) by which Grm8a, Grm8b, Foxp2, and Gad1b loss of function interfere with GABAergic signaling and ultimately induce hyperactivity.
Regional climate models (RCMs) are tools used to project future climate change at a regional scale. Despite their high horizontal resolution, RCMs are characterized by systematic biases relative to observations, which can result in unrealistic interpretations of future climate change signals. On the other hand, bias correction (BC) is a popular statistical post-processing technique applied to improve the usability of output from climate models. Like every other statistical technique, BC has its strengths and weaknesses. Hence, within the regional context of Germany, and for temperature and precipitation, this study is dedicated to the assessment of the impact of different BC techniques on the RCM output. The focuses are on the impact of BC on the RCM’s statistical characterization, and physical consistency defined as the spatiotemporal consistency between the bias-corrected variable and the simulated physical mechanisms governing the variable, as well as the correlations between the bias-corrected variable and other (simulated) climate variables. Five BC techniques were applied in adjusting the systematic biases in temperature and precipitation RCM outputs. The BC techniques are linear scaling, empirical quantile mapping, univariate quantile delta mapping, multivariate quantile delta mapping that considers inter-site dependencies, and multivariate quantile delta mapping that considers inter-variable dependencies (MBCn). The results show that each BC technique adds value in reducing the biases in the statistics of the RCM output, though the added value depends on several factors such as the temporal resolution of the data, choice of RCM, climate variable, region, and the metric used in evaluating the BC technique. Further, the raw RCMs reproduced portions of the observed modes of atmospheric circulation in Western Europe, and the observed temperature, and precipitation meteorological patterns in Germany. After the BC, generally, the spatiotemporal configurations of the simulated meteorological patterns as well as the governing large-scale mechanisms were reproduced.
However, at a more localized spatial scale for the individual meteorological patterns, the BC changed the simulated co-variability of some grids, especially for precipitation. Concerning the co-variability among the variables, a physically interpretable positive correlation was found between temperature and precipitation during boreal winter in both models and observations. For most grid boxes in the study domain and on average, the BC techniques that do not adjust inter-variable dependency did not notably change the simulated correlations between the climate variables. However, depending on the grid box, the (univariate) BC techniques tend to degrade the simulated temporal correlations between temperature and precipitation. Further, MBCn which adjusts biases in inter-variable dependency has the skill to improve the correlations between the simulated variables towards observations.
RNA helicases are key players in the regulation of gene expression. They act by remodeling local RNA secondary structures as well as RNA-protein interactions to enable the dynamic association of RNA binding proteins to their targets. The putative RNA helicase DHX30 is a member of the family of DEAH-box helicases with a putative role in the ATP-dependent unwinding of RNA secondary structures. Mutations in the DHX30 gene causes the autosomal dominant neuronal disease “Neurodevelopmental Disorder with severe Motor Impairment and Absent Language” (NEDMIAL;OMIM#617804). In this thesis, a strategy was established that enabled the large-scale purification of enzymatically active DHX30. Through enzymatic studies performed in vitro, DHX30 was shown to act as an ATP-dependent 3’ → 5’ RNA helicase that catalyzes the unwinding of RNA:RNA and RNA:DNA substrates. Using recombinant DHX30, it could be shown that disease-causing missense mutations in the conserved helicase core caused the disruption of its ATPase and helicase activity. The protein interactome of DHX30 however, was unchanged indicating that the pathogenic missense-mutations do not cause misfolding of DHX30, but rather specifically affect its catalytic activity. DHX30 localizes predominantly in the cytoplasm where it forms a complex with ribosomes and polysomes. Using a cross-linking mass spectrometry approach, a direct interaction of the N-terminal double strand RNA binding domain of DHX30 with sites next to the ribosome’s mRNA entry channel and the subunit interface was uncovered. RNA sequencing of DHX30 knockout cells revealed a strong de-regulation of mRNAs involved in neurogenesis and nervous system development, which is in line with the NEDMIAL disease phenotype. The knockdown of DHX30 results in a decreased 80S peak in polysome gradients, indicating that DHX30 has an effect on the translation machinery. Sequencing of the pool of active translating mRNAs revealed that upon DHX30 knockout mainly 5’TOP mRNAs are downregulated. These mRNAs are coding for proteins of the translational machinery and translation initiation factors. This study identified DHX30 as a factor of the translation machinery that selectively impacts the expression of a subset of proteins and provides insight on the etiology of NEDMIAL.
Biological Substrates of Waiting Impulsivity in Children and Adolescents with and without ADHD
(2023)
Focus of the present work were the questions whether and how the concept of waiting impulsivity (WI), defined as the ability to regulate a response in anticipation of reward and measured by the 4-choice serial reaction time task (4-CSRTT), may contribute to our understanding of Attention-Deficit/Hyperactivity Disorder (ADHD) and its neurobiological underpinnings.
To address this topic, two studies were conducted: in a first study, the relationship be-tween 4-CSRTT behavioral measures, neural correlates and ADHD symptom domains, i.e. inattention (IA) and hyperactivity/impulsivity (H/I) was explored in a pooled sample of 90 children and adolescents with (n=44) and without (n=46) ADHD diagnosis. As ex-pected, IA was associated with dorsolateral prefrontal brain regions linked with executive functions and attentional control, which was evident on the structural and the functional level. Higher levels of both IA and H/I covaried with decreased activity in the right ven-trolateral prefrontal cortex (PFC), a central structure for response inhibition. Moderation analyses revealed that H/I-related decreased activation in this region did not map linearly on difficulties on the behavioral level: brain activation was a significant predictor of task accuracy only, when H/I symptoms were low/absent but not for clinically relevant ADHD symptoms. Further, H/I was implicated in dysfunctional top-down control of reward eval-uation. Both symptom domains correlated positively with hippocampus (HC) activity in anticipation of reward. In addition, for high H/I symptoms, greater activation in the HC was found to correlate with higher motivation on the behavioral level, indicating that rein-forcement-learning and/or contingency awareness may contribute to altered reward pro-cessing in ADHD patients.
In a second study, the possible serotonergic modulation of WI and the ADHD-WI relation-ship was addressed in a sub-sample comprising 86 children and adolescents of study I. The effects of a functional variant in the gene coding for the rate-limiting enzyme in the synthesis of brain serotonin on behavior and structure or function of the WI-network was investigated. Moderation analyses revealed that on the behavioral level, a negative corre-lation between accuracy and IA was found only in GG-homozygotes, whereas no signifi-cant relationship emerged for carriers of the T-allele. This is in line with previous reports of differential effects of serotonergic modulation on attentional performance depending on the presence of ADHD symptoms. A trend-wise interaction effect of genotype and IA for regional volume of the right middle frontal gyrus was interpreted as a hint towards an involvement of the PFC in this relationship, although a more complex mechanism includ-ing developmental effects can be assumed. In addition, interaction effects of genotype and IA were found for brain activation in the amygdala (AMY) und HC during perfor-mance of the 4-CSRTT, while another interaction was found for H/I symptoms and geno-type for right AMY volume. These findings indicate a serotonergic modulation of coding of the emotional value of reward during performance of the 4-CSRTT that varies de-pending on the extent of psychopathology-associated traits.
Taken together, it was shown that the 4-CSRTT taps distinct domains of impulsivity with relevance to ADHD symptomatology: (proactive) response inhibition difficulties in relation with anticipation of reward. Furthermore, the two symptom domains, IA and H/I, contrib-ute differently to WI, which emphasizes the need to distinguish both in the research of ADHD. The results of study II emphasized the relevance of serotonergic transmission especially for attentional control and emotional processing. Although the present findings need replication and further refinement in more homogenous age groups, the use of the 4-CSRTT with a dimensional approach is a very promising strategy, which will hopefully extend our understanding of impulsivity-related mental disorders in the future.
Mineral biocements are brittle materials, which usually results in catastrophic failure during mechanical loading. Here, previous works demonstrated the feasibility of reducing brittleness by a dual-setting approach, in which a silica sol was simultaneously gelled during the setting of a brushite forming cement. The current thesis aimed at further improving this concept by both using a novel silicate based cement matrix for an enhanced bonding between cement and silica matrix as well as multifunctional silica precursors to increase the network density of the gel. Due to its well-known biocompatibility and osteogenic regeneration capacity, baghdadite was chosen as mineral component of such composites. This required in a first approach the conversion of baghdadite ceramics into self-setting cement formulations. This was investigated initially by using baghdadite as reactive filler in a brushite forming cement (Chapter 4). Here, the ß-TCP component in a equimolar mixture of ß-TCP and acidic monocalcium phosphate anhydrous was subsequently replaced by baghdadite at various concentrations (0, 5, 10, 20, 30, 50, and 100 wt%) to study the influence on physicochemical cement properties such as mechanical performance, radiopacity, phase composition and microstructure. X-ray diffraction profiles demonstrated the dissolution of baghdadite during the cement reaction without affecting the crystal structure of the precipitated brushite phase. In addition, EDX analysis showed that calcium is homogeneously distributed in the cement matrix, while zirconium and silicon form cluster-like aggregates ranging in size from a few micrometers to more than 50 µm. X-ray images and µ-CT analyses indicate improved X-ray visibility with increased incorporation of baghdadite in brushite cement, with an aluminum equivalent thickness nearly doubling at a baghdadite content of 50 wt%. At the same time, the compressive strength of brushite cement increased from 12.9 ± 3.1 MPa to 21.1 ± 4.1 MPa at a baghdadite content of 10 wt%. Cell culture medium conditioned with powdered brushite cement approached physiological pH values when increasing amounts of baghdadite were added to the cement (pH = 6.47 for pure brushite, pH = 7.02 for brushite with 20 wt% baghdadite substitution). Baghdadite substitution also affected the ion content in the culture medium and thus the proliferation activity of primary human osteoblasts in vitro. The results demonstrated for the first time the suitability of baghdadite as a reactive cement additive for improving the radiopacity, mechanical performance, and cytocompatibility of brushite cements.
A second approach (Chapter 5) aimed to produce single component baghdadite cements by an increase of baghdadite solubility to initiate a self-setting cement reaction. For this, the material was mechanically activated by longer grinding times of up to 24h leading to both a decrease in particle and crystallite size as well as a partial amorphization of baghdadite. Baghdadite cements were formed by adding water at a powder to liquid ratio of 2.0 g/ml. Maximum compressive strengths were determined to be ~2 MPa after 3 days of setting for a 24-hour ground material. Inductively coupled plasma mass spectrometry (ICP-MS) measurements showed an incongruent dissolution profile of the set cements, with preferential dissolution of calcium and only minor release of zirconium ions. Cement formation occurs under alkaline conditions, with the unground raw powder resulting in a pH of 11.9 during setting, while prolonged grinding increases the pH to about 12.3.
Finally, mechanically activated baghdadite cements were combined with inorganic silica networks (Chapter 6) to create dual-setting cements with a further improvement of mechanical performance. While a modification of the cement pastes with a TEOS derived sol was already thought to improve strength, it was hypothesized that using multi-arm silica precursors can further enhance their mechanical performance due to a higher network density. In addition, this should also reduce pore size of both gels and cement and hence will be able to adjust the release kinetics of incorporated drugs. For this, multi-armed silica precursors were synthesized by the reaction of various multivalent alcohols (ethylene glycol, glycerine, pentaerythrit) with an isocyanate modified silica precursor. After hydrolysis under acidic conditions, the sols were mixed with baghdadite cement powders in order to allow a simultaneous gel formation and cement setting. Since the silica monomers have a high degree of linkage sites, this resulted in a branched network that interpenetrated with the growing cement crystals. In addition to minor changes in the crystalline phase composition as determined by X-ray diffraction, the novel composites exhibited improved mechanical properties with up to 20 times higher compressive strength and further benefit from an about 50% lower overall porosity than the reference pure baghdadite cement. In addition, the initial burst release of the model drug vancomycin was completely inhibited by the added silica matrix. This observation was verified by testing for the antimicrobial activity with Staphylococcus aureus by measuring the inhibition zones of selected samples after 24 h and 48 h, whereas the antimicrobial effectiveness of a constant vancomycin release could be demonstrated.
The current thesis clearly demonstrated the high potential of baghdadite as a cement formulation for medical application. The initially poor mechanical properties of such cements can be overcome by special processing techniques or by combination with silica networks. The achieved mechanical performance is > 10 MPa and hence suitable for bone replacement under non-load bearing conditions. The high intrinsic radiopacity as well as the alkaline pH during setting may open the way ahead to further dental applications, e.g. as root canal sealers or filler in dental composites. Here, the high pH is thought to lead to antimicrobial properties of such materials similar to commonly applied calcium hydroxide or calcium silicates, however combined with an intrinsic radiopacity for X-ray imaging. This would simplify such formulations to single component materials which are less susceptible to demixing processes during transport, storage or processing.
Molecular imaging of rats is of great importance for basic and translational research. As a powerful tool in nuclear medicine, SPECT can be used to visualize specific functional processes in the body, such as myocardial perfusion or bone metabolism. Typical applications in laboratory animals are imaging diagnostics or the development of new tracers for clinical use. Innovations have enabled resolutions of up to a quarter of a millimeter with acceptable sensitivity. These advances have recently led to significantly more interest in SPECT both clinically and preclinically.
The objective of this thesis was to evaluate the performance of the new U-SPECT5/CT E-Class by MILabs with a dedicated ultra-high resolution multi-pinhole collimator for rats and its potential for in vivo imaging of rats. The unique features of the U-SPECT are the large stationary detectors and the new iterative reconstruction algorithm. In addition, compared to the conventional system, the "E-Class" uses only two detectors instead of three.
First, the sensitivity, maximum resolution, and uniformity were determined as performance parameters. Thereafter, CNRs for different activity levels comparable to those of typical in vivo activities were examined. Finally, two example protocols were carried out for imaging with 99mTc-MIBI and 99mTc-HMDP in healthy rats to evaluate the in vivo capabilities. For this purpose, CNR calculations and an image quality assessment were performed. The focus was on image quality as a function of scan time and post-reconstruction filter across a wide range of realistically achievable in vivo conditions.
Performance was reasonable compared to other systems in the literature, with a sensitivity of 567 cps/MBq, a maximum resolution of 1.20 mm, and a uniformity of 55.5%. At the lower activities, resolution in phantom studies decreased to ≥1.80 mm while maintaining good image quality. High-quality bone and myocardial perfusion SPECTs were obtained in rats with a resolution of ≥1.80 mm and ≥2.20 mm, respectively. Although limited sensitivity remains a weakness of SPECT, the U-SPECT5/CT E-Class with the UHR-RM collimator can achieve in vivo results of the highest standard despite the missing third detector. Currently, it is one of the best options for high-resolution radionuclide imaging in rats.
Cardiovascular disease and the acute consequence of myocardial infarc- tion remain one of the most important causes of morbidity and mortality in all western societies. While much progress has been made in mitigating the acute, life-threatening ischemia caused by infarction, heart failure of the damaged my- ocardium remains prevalent. There is mounting evidence for the role of T cells in the healing process after myocardial infarction, but relevant autoantigens, which might trigger and regulate adaptive immune involvement have not been discov- ered in patients.
In this work, we discovered an autoantigenic epitope in the adrenergic receptor beta 1, which is highly expressed in the heart. This autoantigenic epitope causes a pro-inflammatory immune reaction in T cells isolated from pa- tients after myocardial infarction (MI) but not in control patients. This immune reaction was only observed in a subset of MI patients, which carry at least one allele of the HLA-DRB1*13 family. Interestingly, HLA-DRB1*13 was more com- monly expressed in patients in the MI group than in the control group.
Taken together, our data suggests antigen-specific priming of T cells in MI patients, which leads to a pro-inflammatory phenotype. The primed T cells react to a cardiac derived autoantigen ex vivo and are likely to exhibit a similar phenotype in vivo. This immune phenotype was only observed in a certain sub- set of patients sharing a common HLA-allele, which was more commonly ex- pressed in MI patients, suggesting a possible role as a risk factor for cardiovas- cular disease.
While our results are observational and do not have enough power to show strong clinical associations, our discoveries provide an essential tool to further our understanding of involvement of the immune system in cardiovascu- lar disease. We describe the first cardiac autoantigen in the clinical context of MI and provide an important basis for further translational and clinical research in cardiac autoimmunity.
Various types of cancer involve aberrant cell cycle regulation. Among the pathways responsible for tumor growth, the YAP oncogene, a key downstream effector of the Hippo pathway, is responsible for oncogenic processes including cell proliferation, and metastasis by controlling the expression of cell cycle genes. In turn, the MMB multiprotein complex (which is formed when B-MYB binds to the MuvB core) is a master regulator of mitotic gene expression, which has also been associated with cancer. Previously, our laboratory identified a novel crosstalk between the MMB-complex and YAP. By binding to enhancers of MMB target genes and promoting B-MYB binding to promoters, YAP and MMB co-regulate a set of mitotic and cytokinetic target genes which promote cell proliferation. This doctoral thesis addresses the mechanisms of YAP and MMB mediated transcription, and it characterizes the role of YAP regulated enhancers in transcription of cell cycle genes.
The results reported in this thesis indicate that expression of constitutively active, oncogenic YAP5SA leads to widespread changes in chromatin accessibility in untransformed human MCF10A cells. ATAC-seq identified that newly accessible and active regions include YAP-bound enhancers, while the MMB-bound promoters were found to be already accessible and remain open during YAP induction. By means of CRISPR-interference (CRISPRi) and chromatin immuniprecipitation (ChIP), we identified a role of YAP-bound enhancers in recruitment of CDK7 to MMB-regulated promoters and in RNA Pol II driven transcriptional initiation and elongation of G2/M genes. Moreover, by interfering with the YAP-B-MYB protein interaction, we can show that binding of YAP to B-MYB is also critical for the initiation of transcription at MMB-regulated genes. Unexpectedly, overexpression of YAP5SA also leads to less accessible chromatin regions or chromatin closing. Motif analysis revealed that the newly closed regions contain binding motifs for the p53 family of transcription factors. Interestingly, chromatin closing by YAP is linked to the reduced expression and loss of chromatin-binding of the p53 family member Np63. Furthermore, I demonstrate that downregulation of Np63 following expression of YAP is a key step in driving cellular migration.
Together, the findings of this thesis provide insights into the role of YAP in the chromatin changes that contribute to the oncogenic activities of YAP. The overexpression of YAP5SA not only leads to the opening of chromatin at YAP-bound enhancers which together with the MMB complex stimulate the expression of G2/M genes, but also promotes the closing of chromatin at ∆Np63 -bound regions in order to lead to cell migration.
This work developed during the first funding period of the subproject B05 in the framework of the interdisciplinary research consortium TRR 225 ‘From the Fundamentals of Biofabrication toward functional Tissue Models’ and was part of a cooperation between the Orthopedic Department represented by Prof. Dr. Regina Ebert and the Institute of Organic Chemistry represented by Prof. Dr. Jürgen Seibel.
This project dealed with cellular behavior during the bioprinting process and how to influence it by modifying the cell glycocalyx with functional target molecules. The focus was on the impact of potential shear stress, that cells experience when they get processed in thermoresponsive bioinks, and a way to increase the cell stiffness via metabolic glycoengineering to attenuate shear forces. For the characterization of the metabolic glycoengineering, four different peracetylated and four non-acetylated modified monosaccharides (two mannose and two sialic acid sugars) were tested in primary human mesenchymal stromal cells (hMSC) and telomerase-immortalized hMSC (hMSC-TERT). Viability results demonstrated a dose-dependent correlation for all sugars, at which hMSC-TERT seemed to be more susceptible leading to lower viability rates. The assessment of the incorporation efficiencies was performed by click chemistry using fluorescent dyes and revealed also a dose-dependent correlation for all mannose and sialic acid sugars, while glucose and galactose variants were not detected in the glycocalyx. However, incorporation efficiencies were highest when using mannose sugars in the primary hMSC. A subsequent analysis of the temporal retention of the incorporated monosaccharides showed a constant declining fluorescence signal up to 6 d for azido mannose in hMSC-TERT, whereas no signal could be detected for alkyne mannose after 2 d. Investigation of the differentiation potential and expression of different target genes revealed no impairment after incubation with mannose sugars, indicating a normal phenotype for hMSC-TERT. Following the successful establishment of the method, either a coumarin derivative or an artificial galectin 1 ligand were incorporated into the cell glycocalyx of hMSC-TERT as functional target molecule. The biophysical analysis via shear flow deformation cytometry revealed a slightly increased cell stiffness and lowered fluidity for both molecules. A further part of this project aimed to control lectin-mediated cell adhesion by artificial galectin 1 ligands. As that hypothesis was settled in the work group of Prof. Dr. Jürgen Seibel, this work supported with an initial characterization of galectin 1 as part of the hMSC biology. A stable galectin 1 expression at gene and protein level in both hMSC and hMSC-TERT could be confirmed, at which immunocytochemical stainings could detect the protein only in the glycocalyx. The treatment of hMSC-TERT with a galectin 1 ligand in different concentrations did not show an altered gene expression of galectin 1. However, these first data in addition to the investigation of stiffness confirmed the applicability of specific and artificial
IV
galectin 1 ligands in biofabrication approaches to alter cell properties of hMSC. To conclude, metabolic glycoengineering has been successfully implemented in hMSC and hMSC-TERT to introduce glycocalyx modifications which reside there for several days. A proof of concept was carried out by the increase of cell stiffness and fluidity by the incorporation of a coumarin derivative or an artificial galectin 1 ligand.
For the characterization of shear stress impact on cells after printing in thermoresponsive bioinks, the processing of hMSC-TERT (mixing or additionally printing) with Pluronic F127 or Polyoxazoline-Polyoxazine (POx-POzi) polymer solution was investigated. While there were no changes in viability when using POx-POzi bioink, processing with Pluronic F127 indicated slightly lower viability and increased apoptosis activity. Assessment of cellular responses to potential shear stress showed no reorganization of the cytoskeleton independent of the bioink, but highly increased expression of the mechanoresponsive proto-oncogene c Fos which was more pronounced when using Pluronic F127 and just mixed with the bioinks. Interestingly, processing of the mechanoresponsive reporter cell line hMSC-TERT-AP1 revealed slightly elevated mechanotransduction activity when using POx-POzi polymer and just mixed with the bioinks as well. In conclusion, hMSC-TERT embedded in thermoresponsive bioinks might shortly experience shear stress during the printing process, but that did not lead to remarkable cell damage likely due to the rheological properties of the bioinks. Furthermore, the printing experiments also suggested that cells do not sense more shear stress when additionally printed.
The present cumulative dissertation summarizes three clinical studies, which examine
subgroups of patients within the fibromyalgia syndrome (FMS). FMS entails chronic pain and
associated symptoms, and its pathophysiology is incompletely understood (1). Previous studies
show that there is a subgroup of patients with FMS with objective histological pathology of the
small nerve fibers of the peripheral nervous system (PNS). Another subgroup of FMS patients
does not show any signs of pathological changes of the small nerve fibers. The aim of this
dissertation was to compare FMS patients with healthy controls, and these two FMS subgroups
for differences in the central nervous system (CNS) in order to explore possible interactions
between PNS and the CNS. Regarding the CNS, differences of FMS patients with healthy
controls have already been found in studies with small sample sizes, but no subgroups have yet
been identified. Another aim of this thesis was to test whether the subgroups show a different
response to different classes of pain medication. The methods used in this thesis are structural
and functional magnetic resonance imaging (MRI), magnetic resonance diffusion imaging and
magnetic resonance spectroscopy. For the evaluation of clinical symptoms, we used
standardized questionnaires. The subgroups with and without pathologies of the PNS were
determined by skin biopsies of the right thigh and lower leg based on the intraepidermal nerve
fiber density (IENFD) of the small nerve fibers.
1) In the first MRI study, 43 female patients with the diagnosis of FMS and 40 healthy
control subjects, matched in age and body mass index, were examined with different MRI
sequences. Cortical thickness was investigated by structural T1 imaging, white matter integrity
by diffusion tensor imaging and functional connectivity within neuronal networks by functional
resting state MRI. Compared to the controls, FMS patients had a lower cortical volume in
bilateral frontotemporoparietal regions and the left insula, but a higher cortical volume in the
left pericalcarine cortex. Compared to the subgroup without PNS pathology, the subgroup with
PNS pathology had lower cortical volume in both pericalcarine cortices. Diffusion tensor
imaging revealed an increased fractional anisotropy (FA) of FMS patients in corticospinal
pathways such as the corona radiata, but also in regions of the limbic systems such as the fornix
and cingulum. Subgroup comparison again revealed lower mean FA values of the posterior
thalamic radiation and the posterior limb of the left internal capsule in the subgroup with PNS
pathology. In the functional connectivity analysis FMS patients, compared to controls, showed
a hypoconnectivity between the right median frontal gyrus and the posterior cerebellum and
the right crus cerebellum, respectively. In the subgroup comparisons, the subgroup with PNS
pathology showed a hyperconnectivity between both inferior frontal gyri, the right posterior
parietal cortex and the right angular gyrus. In summary, these results show that differences in
brain morphology and functional connectivity exist between FMS patients with and without
PNS pathology. These differences were not associated with symptom duration or severity and,
in some cases, have not yet been described in the context of FMS. The differences in brain
morphology and connectivity between subgroups could also lead to a differential response to
treatment with centrally acting drugs. Further imaging studies with FMS patients should take
into account this heterogeneity of FMS patient cohorts.
2) Following the results from the first MRI study, drug therapies of FMS patients and
their treatment response were compared between PNS subgroups. As there is no licensed drug
for FMS in Europe, the German S3 guideline recommends amitriptyline, duloxetine and
pregabalin for temporary use. In order to examine the current drug use in FMS patients in
Germany on a cross-sectional basis, 156 patients with FMS were systematically interviewed.
The drugs most frequently used to treat pain in FMS were non-steroidal anti-inflammatory
drugs (NSAIDs) (28.9%), metamizole (15.4%) and amitriptyline (8.8%). Pain relief assessed by
patients on a numerical rating scale from 0-10 averaged 2.2 points for NSAIDs, 2.0 for
metamizole and 1.5 for amitriptyline. Drugs that were discontinued for lack of efficacy and not
for side effects were acetaminophen (100%), flupirtine (91.7%), selective serotonin reuptake
inhibitors (81.8%), NSAIDs (83.7%) and weak opioids (74.1%). Patients were divided into
subgroups with and without PNS pathology as determined by skin biopsies. We found no
differences in drug use and effect between the subgroups. Taken together, these results show
that many FMS patients take medication that is not in accordance with the guidelines. The
reduction of symptoms was best achieved with metamizole and NSAIDs. Further longitudinal
studies on medication in FMS are necessary to obtain clearer treatment recommendations.
3) Derived from previous pharmacological and imaging studies (with smaller case
numbers), there is a hypothesis in the FMS literature that hyperreactivity of the insular cortex
may have an impact on FMS. The hyperreactivity seems to be due to an increased concentration
of the excitatory neurotransmitter glutamate in the insular cortex of FMS patients. The
hypothesis is supported by magnetic resonance spectroscopy studies with small number of
cases, as well as results from pharmacological studies with glutamate-inhibiting medication.
Studies from animal models have also shown that an artificially induced increase in glutamate
in the insular cortex can lead to reduced skin innervation. Therefore, the aim of this study was
to compare glutamate and GABA concentrations in the insular cortex of FMS patients with
those of healthy controls using magnetic resonance imaging. There was no significant
difference of both neurotransmitters between the groups. In addition, there was no correlation
between the neurotransmitter concentrations and the severity of clinical symptoms. There
were also no differences in neurotransmitter concentrations between the subgroups with and
without PNS pathology. In conclusion, our study could not show any evidence of a correlation
of glutamate and GABA concentrations with the symptoms of FMS or the pathogenesis of
subgroups with PNS pathologies.
The human African trypanosomiasis is a neglected tropical disease, which is caused by the protozoan Trypanosoma brucei and transmitted by the bite of the tsetse fly. An untreated infection leads to death. However, only a few drugs with significant drawbacks are currently available for treatment. In this thesis, quinolone amides with an antitrypanosomal activity were synthesized and their biological and physicochemical properties were measured. New structure-activity relationships and a promising lead structure were discovered.
The goal of this thesis was the development and application of higher-order spectroscopic techniques. In contrast to ordinary pump–probe (PP) and two-dimensional (2D) spectroscopy, higher-order coherently detected spectroscopic methods measure a polarization that has an order of nonlinearity higher than three. The key idea of the techniques in this thesis is to isolate the higher-order signals from the lower-order signals either by their excitation frequency or by their excitation intensity dependence. Due to the increased number of interactions in higher-order spectroscopy, highly excited states can be probed. For excitonic systems such as aggregates and polymers, the fifth-order signal allows one to directly measure exciton–exciton annihilation (EEA). In polymers and aggregates, the exciton transport is not connected to a change of the absorption and can therefore not be investigated with conventional third-order techniques. In contrast, EEA can be used as a probe to study exciton diffusion in these isonergetic systems. As a part of this thesis, anisotropy in fifth-order 2D spectroscopy was investigated and was used to study geometric properties in polymers.
In 2D spectroscopy, the multi-quantum signals are separated from each other by their spectral position along the excitation axis. This concept can be extended systematically to higher signals. Another approach to isolate multi-quantum signals in PP spectroscopy utilizes the excitation intensity. The PP signal is measured at specific excitation intensities and linear combinations of these measurements result in different signal contributions. However, these signals do not correspond to clean nonlinear signals because the higher-order signals contaminate the lower-order multi-quantum signals. In this thesis, a correction protocol was derived that uses the isolated multiquantum signals, both from 2D spectroscopy and from PP spectroscopy, to remove the contamination of higher-order signals resulting in clean nonlinear signals. Using the correction on the third-order signal allows one to obtain annihilation-free signals at high excitation intensities, i.e., with high signal-to-noise ratio. Isolation and correction in PP and 2D spectroscopy were directly compared by measuring the clean third-order signals of squaraine oligomers at high excitation intensities. Furthermore, higher-order PP spectroscopy was used to isolate up to the 13th nonlinear order of squaraine polymers.
The demonstrated spectroscopic techniques represent general procedures to isolate clean signals in terms of perturbation theory. The technique of higher-order PP spectroscopy needs only small modifications of ordinary PP setups which opens the field of higher-order spectroscopy to the broad scientific community. The technique to obtain clean nonlinear signals allows one to systematically increase the number of interacting (quasi)particles in a system and to characterize their interaction energies and dynamics.
Cancer is one of the leading causes of death worldwide, with currently assessed chances to develop at least one cancer in a lifetime for about 20%. High cases rates and mortality require the development of new anticancer therapies and treatment strategies. Another important concern is toxicity normally associated with conventional therapy methods, such as chemo- and radiotherapy. Among many proposed antitumoral agents, oncolytic viruses are still one of the promising and fast-developing fields of research with almost a hundred studies published data on over 3000 patients since the beginning of the new millennia.
Among all oncolytic viruses, the Vaccinia virus is arguably one of the safest, with an extremely long and prominent history of use, since it was the one and only vaccine used in the Smallpox Eradication Program in the 1970s. Interestingly enough, it was the first oncolytic virus proven to have tumor tropism in vitro and in vivo in laboratory settings, and this year we can celebrate an unofficial 100th anniversary since the publication of the fact. While being highly immunogenic, Vaccinia virus DNA replication takes place in the cytoplasm of the infected cell, and virus genes never integrate into the host genome. Another advantage of using Vaccinia as an oncolytic agent is its high genome capacity, which allows inserting up to 25 kbps of exogenous genes, thus allowing to additionally arm the virus against the tumor.
Oncolytic virus action consists of two major parts: direct oncolysis and immune activation against the tumor, with the latter being the key to successful treatment. To this moment, preclinical research data are mostly generated in immunocompromised xenograft models, which have hurdles to be properly translated for clinical use. In the first part of the current study, fourteen different recombinant Vaccinia virus strains were tested in two different murine tumor cell lines and corresponding immunocompetent animal models. We found, that Copenhagen backbone Vaccinia viruses while being extremely effective in cell culture, do not show significant oncolytic efficacy in animals. In contrast, several of the LIVP backbone viruses tested (specifically, IL-2 expressing ones) have little replication ability when compared to the Copenhagen strain, but are able to significantly delay tumor growth and prolong survival of the treated animals. We have also noted cytokine related toxicity of the animals to be mouse strain specific.
We have also tested the virus with the highest therapeutic benefit in combination with romidepsin and cyclophosphamide. While the combination with histone deacetylase inhibitor romidepsin did not result in therapeutic benefit in our settings, the addition of cyclophosphamide significantly improved the efficacy of the treatment, at the same time reducing cytokine-associated toxicity of the IL-2 expressing virus.
In the second part of the work, we analyzed the ability of adipose-derived mesenchymal stem cells to serve as a carrier for the oncolytic Vaccinia virus. We showed for the first time that the cells can be infected with the virus and can generate virus progeny. They are also able to survive for a substantially long time and, when injected into the bloodstream of tumor-bearing animals, produce the virus that is colonizing the tumor. Analysis of the systemic distribution of the cells after injection revealed that infected and uninfected cells are not distributed in the same manner, possibly suggesting that infected cells are getting recognized and cleared by an impaired immune system of athymic mice faster than non-infected cells. Despite this, injection of virus-loaded adipose-derived mesenchymal stem cells to human A549 tumor-bearing xenograft mice resulted in rapid tumor regression and reduced virus-related side effects of the treatment when compared to injection of the naked virus.
In conclusion, we have tested two different approaches to augmenting oncolytic Vaccinia virus therapy. First, the combination of recombinant Vaccinia virus expressing IL-2 and cyclophosphamide showed promising results in a syngeneic mouse model, despite the low permissivity of murine cells to the virus. Second, we loaded the oncolytic Vaccinia virus into mesenchymal stem cells and have proven that they can potentially serve as a vehicle for the virus.
Pulmonary artery embolism (PE) is a common condition and an even more common clinical suspect. The computed tomography pulmonary angiogram (CTPA) is the main medical imaging tool used to diagnose a suspected case of PE. To gain a better impression of the effects of a PE on the perfusion and hence the gas exchange, a functional imaging method is beneficial. One approach for functional imaging using radiation exposure is the generation of color-coded iodine perfusion maps acquired by Dual-Energy Computed Tomography (DECT), which enable the detection of perfusion defects in the pulmonary parenchyma. In contrast to the existing approach of DECT with iodine color-coded maps, the SElf-gated Non-Contrast-Enhanced FUnctional Lung (SENCEFUL) MRI technique offers the possibility to interpret perfusion maps without any radiation exposure or application of contrast agents. The measurement in SENCEFUL MRI can be performed during conditions of free breathing and without electrocardiogram triggering.
The purpose of this study was to determine whether PE can be diagnosed on the basis of visible perfusion defects in the perfusion maps of SENCEFUL MRI and in the iodine-coded maps of DECT and to compare the diagnostic performance of these methods. Both SENCEFUL-MRI and iodine distribution maps from DECT have been compared with the CTPA of ten patients with PE. Additionally, the functional images were compared with each other on a per-patient basis.
The iodine perfusion maps of DECT had a sensitivity of 84.2 % and specificity of 65.2 % for the diagnosis of PE. The SENCEFUL technique in MRI showed a sensitivity of 78.9 % and a specificity of 26.1 %. When comparing the whole lung depicted in both series of functional images, the main perfusion defect location matched in four of ten patients (40 %).
In conclusion, this work found that DECT iodine maps have higher sensitivity and specificity in the diagnosis of pulmonary embolism compared with SENCEFUL MRI.
This work presents excited state investigations on several systems with respect to experimental
spectroscopic work. The majority of projects covers the temporal evolution of
excitations in thin films of organic semiconductor materials. In the first chapters, thinfilm
and interface systems are build from diindeno[1,2,3-cd:1’,2’,3’-lm]perylene (DIP)
and N,N’-bis-(2-ethylhexyl)-dicyanoperylene-3,4:9,10-bis(dicarboximide) (PDIR-CN2)
layers, in the third chapter bulk systems consist of 4,4’,4”-tris[(3-methylphenyl)phenylamino]
triphenylamine (m-MTDATA), 4,7-diphenyl-1,10-phenanthroline (BPhen) and
tris-(2,4,6-trimethyl-3-(pyridin-3-yl)phenyl)borane (3TPYMB). These were investigated
by aggregate-based calculations. Careful selection of methods and incorporation
of geometrical relaxation and environmental effects allows for a precise energetical assignment
of excitations. The biggest issue was a proper description of charge-transfer
excitations, which was resolved by the application of ionization potential tuning on
aggregates. Subsequent characterization of excitations and their interplay condenses
the picture. Therefore, we could assign important features of the experimental spectroscopic
data and explain differences between systems.
The last chapter in this work covers the analysis of single molecule spectroscopy on
methylbismut. This poses different challenges for computations, such as multi-reference
character of low-lying excitations and an intrinsic need for a relativistic description.
We resolved this by combining complete active space self-consistent field based methods
with scalarrelativistic density-functional theory. Thus we were able to confidently
assign the spectroscopic features and explain underlying processes.
To study coisotropic reduction in the context of deformation quantization we introduce constraint manifolds and constraint algebras as the basic objects encoding the additional information needed to define a reduction. General properties of various categories of constraint objects and their compatiblity with reduction are examined. A constraint Serre-Swan theorem, identifying constraint vector bundles with certain finitely generated projective constraint modules, as well as a constraint symbol calculus are proved. After developing the general deformation theory of constraint algebras, including constraint Hochschild cohomology and constraint differential graded Lie algebras, the second constraint Hochschild cohomology for the constraint algebra of functions on a constraint flat space is computed.
The last years have witnessed an exciting scientific quest for intriguing topological phenomena in time-dependent quantum systems. A key to many manifestations of topology in dynamical systems relies on the effective dimensional extension by time-periodic drives. An archetypal example is provided by the Thouless pump in one spatial dimension, where a robust and quantized charge transport can be described in terms of an integer quantum Hall effect upon interpreting time as an extra dimension. Generalizing this fundamental concept to multifrequency driving, a variety of higher-dimensional topological models can be engineered in dynamical synthetic dimensions, where the underlying topological classification leads to quantized pumping effects in the associated lower-dimensional time-dependent systems.
In this Thesis, we explore how correlations profoundly impact the topological features of dynamical synthetic quantum materials. More precisely, we demonstrate that the interplay of interaction and dynamical synthetic dimension gives rise to striking topological phenomena that go beyond noninteracting implementations. As a starting point, we exploit the Floquet counterpart of an integer quantum Hall scenario, namely a two-level system driven by two incommensurate frequencies. In this model, the topologically quantized response translates into a process in which photons of different frequencies are exchanged between the external modes, referred to as topological frequency conversion. We extend this prototypical setup to an interacting version, focusing on the minimal case of two correlated spins equally exposed to the external drives. We show that the topological invariant determining the frequency conversion can be changed by odd integers, something explicitly forbidden in the noninteracting limit of two identical spins. This correlated topological feature may, in turn, result in an enhancement of the quantized response.
Robust response signals, such as those predicted for the topological frequency converter, are of fundamental interest for potential technological applications of topological quantum matter. Based on an open quantum system implementation of the frequency converter, we propose a novel mechanism of topological quantization coined ''topological burning glass effect''. Remarkably, this mechanism amplifies the local response of the driven two-level system by an integer that is proportional to the number of environmental degrees of freedom to which the system is strongly coupled. Specifically, our findings are illustrated by the extension of the frequency converter to a central spin model. There, the local energy transfer mediated exclusively by the central spin is significantly enhanced by the collective motion of the surrounding spins. In this sense, the central spin adopts the topological nature of the total system in its non-unitary dynamics, taking into account the correlations with the environment.
This thesis aimed the development of a correlated device which combines FluidFM® with Fluorescence Microscopy (FL) (FL-FluidFM®) and enables the simultaneous quantification of adhesion forces and fluorescent visualization of mature cells. The implementation of a PIFOC was crucial to achieve a high-resolution as well as a stable but dynamic focus level. The functionality of SCFS after hardware modification was verified by comparing two force-curves, both showing the typical force progression and measured with the optimized and conventional hardware, respectively. Then, the integration of FL was examined by detaching fluorescently labeled REF52 cells. The fluorescence illumination of the cytoskeleton showed the expected characteristic force profile and no evidence of interference effects. Afterwards a corresponding correlative data analysis was addressed including manual force step fitting, the identification of visualized cellular unbinding, and a time-dependent correlation. This procedure revealed a link between the area of cytoskeletal unbinding and force-jumps. This was followed by a comparison of the detachment characteristics of intercellular connected HUVECs and individual REF52 cells. HUVECs showed maximum detachment forces in the same order of magnitude as the ones of single REF52 cells. This contrasted with the expected strong cohesiveness of endothelial cells and indicated a lack of cell-cell contact formation. The latter was confirmed by a comparison of HUVECs, primary HBMVECs, and immortalized EA.hy926 cells fluorescently labeled for two marker proteins of intercellular junctions. This unveiled that both the previous cultivation duration and the cell type have a major impact on the development of intercellular junctions. In summary, the correlative FL FluidFM® represents a powerful novel approach, which enables a truly contemporaneous performance and, thus, has the potential to reveal new insights into the mechanobiological properties of cell adhesion.
Forkhead box O transcription factors are a family of proteins involved in cellular processes downstream of the Insulin-PI3K-PKB pathway. In response to extra- or intracellular stresses, for example starvation or oxidative stress, FoxOs are required to direct cell cycle progression and apoptosis. In endothelial cells, they induce apoptosis, and their deregulation is linked to diseases involving the insulin pathway, such as diabetes. FoxOs also exhibit a complex role in tumour transformation: here their main function is to suppress tumorigenesis. In both physiological and cancer contexts, FoxO activation leads to the transcription of some general targets, such as p27kip1 or IGFBP1. The FoxOs can also induce tissue-specific genes, as ANGPT2 and BIM in the endothelium.
In endothelial cells, another pathway with a pivotal function is the MEK5/ERK5 MAPK signalling way. Its activation promotes cell survival and proliferation in stressful conditions, e.g., when blood vessels are exposed to the shear forces exerted by the blood stream. Furthermore, recent data described ERK5 as a kinase directing tumour resistance upon therapy-induced stress.
Comparing their reported roles in various tumours and in the endothelium, FoxO proteins and the MEK5/ERK5 MAPK cascade appear to exert opposite functions. First non-published data confirmed the hypothesis that FoxO factors are subject to a negative modulation by the MEK5/ERK5 pathway. Hence, one goal of this PhD project was to further characterise this crosstalk at molecular level. The major mechanism of FoxO regulation is the balance among several post translational modifications, such as phosphorylation, acetylation, and ubiquitination. Most importantly, the PKB dependent phosphorylation of FoxOs negatively controls their activity, and it is critical for their subcellular localization. Therefore, the regulation of FoxO localization as mechanism of ERK5 dependent suppression was studied, but the results presented in this thesis argue against this hypothesis. However, additional experiments are required to explore the impact of ERK5 activity on FoxO post-translational modifications.
FoxO activity can also be modulated by the interaction with other proteins, which in turn could explain general- and tissue-specific gene expression. Thus, another objective of this work was to investigate FoxO3-interactome in endothelial cells and the impact of MEK5/ERK5 activation on it. As published in (Fusi et al. 2022) and presented here, this analysis unveiled TRRAP as new FoxO bound protein in several cell types. Moreover, the interaction did not rely on the capacity of the FoxOs to bind their consensus DNA sequences at the promoter of target genes. Functional data demonstrated that TRRAP is required for FoxO-dependent gene transcription in endothelial and osteosarcoma cells. In addition, TRRAP expression in the endothelium is important for FoxO induced apoptosis. In summary, the interaction between FoxO factors and TRRAP revealed a new regulatory mechanism of FoxO-dependent gene transcription. It remains to be analysed whether the MEK5/ERK5 cascade may exert its suppressive effect on FoxO activity by interfering with their binding to TRRAP and whether such a mechanism may be relevant for tumorigenesis.
Environmental issues have emerged especially since humans burned fossil fuels, which led to air pollution and climate change that harm the environment. These issues’ substantial consequences evoked strong efforts towards assessing the state of our environment.
Various environmental machine learning (ML) tasks aid these efforts. These tasks concern environmental data but are common ML tasks otherwise, i.e., datasets are split (training, validatition, test), hyperparameters are optimized on validation data, and test set metrics measure a model’s generalizability. This work focuses on the following environmental ML tasks: Regarding air pollution, land use regression (LUR) estimates air pollutant concentrations at locations where no measurements are available based on measured locations and each location’s land use (e.g., industry, streets). For LUR, this work uses data from London (modeled) and Zurich (measured). Concerning climate change, a common ML task is model output statistics (MOS), where a climate model’s output for a study area is altered to better fit Earth observations and provide more accurate climate data. This work uses the regional climate model (RCM) REMO and Earth observations from the E-OBS dataset for MOS. Another task regarding climate is grain size distribution interpolation where soil properties at locations without measurements are estimated based on the few measured locations. This can provide climate models with soil information, that is important for hydrology. For this task, data from Lower Franconia is used.
Such environmental ML tasks commonly have a number of properties: (i) geospatiality, i.e., their data refers to locations relative to the Earth’s surface. (ii) The environmental variables to estimate or predict are usually continuous. (iii) Data can be imbalanced due to relatively rare extreme events (e.g., extreme precipitation). (iv) Multiple related potential target variables can be available per location, since measurement devices often contain different sensors. (v) Labels are spatially often only sparsely available since conducting measurements at all locations of interest is usually infeasible. These properties present challenges but also opportunities when designing ML methods for such tasks.
In the past, environmental ML tasks have been tackled with conventional ML methods, such as linear regression or random forests (RFs). However, the field of ML has made tremendous leaps beyond these classic models through deep learning (DL). In DL, models use multiple layers of neurons, producing increasingly higher-level feature representations with growing layer depth. DL has made previously infeasible ML tasks feasible, improved the performance for many tasks in comparison to existing ML models significantly, and eliminated the need for manual feature engineering in some domains due to its ability to learn features from raw data. To harness these advantages for environmental domains it is promising to develop novel DL methods for environmental ML tasks.
This thesis presents methods for dealing with special challenges and exploiting opportunities inherent to environmental ML tasks in conjunction with DL. To this end, the proposed methods explore the following techniques: (i) Convolutions as in convolutional neural networks (CNNs) to exploit reoccurring spatial patterns in geospatial data. (ii) Posing the problems as regression tasks to estimate the continuous variables. (iii) Density-based weighting to improve estimation performance for rare and extreme events. (iv) Multi-task learning to make use of multiple related target variables. (v) Semi–supervised learning to cope with label sparsity. Using these techniques, this thesis considers four research questions: (i) Can air pollution be estimated without manual feature engineering? This is answered positively by the introduction of the CNN-based LUR model MapLUR as well as the off-the-shelf LUR solution OpenLUR. (ii) Can colocated pollution data improve spatial air pollution models? Multi-task learning for LUR is developed for this, showing potential for improvements with colocated data. (iii) Can DL models improve the quality of climate model outputs? The proposed DL climate MOS architecture ConvMOS demonstrates this. Additionally, semi-supervised training of multilayer perceptrons (MLPs) for grain size distribution interpolation is presented, which can provide improved input data. (iv) Can DL models be taught to better estimate climate extremes? To this end, density-based weighting for imbalanced regression (DenseLoss) is proposed and applied to the DL architecture ConvMOS, improving climate extremes estimation. These methods show how especially DL techniques can be developed for environmental ML tasks with their special characteristics in mind. This allows for better models than previously possible with conventional ML, leading to more accurate assessment and better understanding of the state of our environment.
The landscape of today’s programming languages is manifold. With the diversity of applications, the difficulty of adequately addressing and specifying the used programs increases. This often leads to newly designed and implemented domain-specific languages. They enable domain experts to express knowledge in their preferred format, resulting in more readable and concise programs. Due to its flexible and declarative syntax without reserved keywords, the logic programming language Prolog is particularly suitable for defining and embedding domain-specific languages.
This thesis addresses the questions and challenges that arise when integrating domain-specific languages into Prolog. We compare the two approaches to define them either externally or internally, and provide assisting tools for each. The grammar of a formal language is usually defined in the extended Backus–Naur form. In this work, we handle this formalism as a domain-specific language in Prolog, and define term expansions that allow to translate it into equivalent definite clause grammars. We present the package library(dcg4pt) for SWI-Prolog, which enriches them by an additional argument to automatically process the term’s corresponding parse tree. To simplify the work with definite clause grammars, we visualise their application by a web-based tracer.
The external integration of domain-specific languages requires the programmer to keep the grammar, parser, and interpreter in sync. In many cases, domain-specific languages can instead be directly embedded into Prolog by providing appropriate operator definitions. In addition, we propose syntactic extensions for Prolog to expand its expressiveness, for instance to state logic formulas with their connectives verbatim. This allows to use all tools that were originally written for Prolog, for instance code linters and editors with syntax highlighting. We present the package library(plammar), a standard-compliant parser for Prolog source code, written in Prolog. It is able to automatically infer from example sentences the required operator definitions with their classes and precedences as well as the required Prolog language extensions. As a result, we can automatically answer the question: Is it possible to model these example sentences as valid Prolog clauses, and how?
We discuss and apply the two approaches to internal and external integrations for several domain-specific languages, namely the extended Backus–Naur form, GraphQL, XPath, and a controlled natural language to represent expert rules in if-then form. The created toolchain with library(dcg4pt) and library(plammar) yields new application opportunities for static Prolog source code analysis, which we also present.
Current therapeutic strategies efficiently improve survival in patients after myocardial infarction (MI). Nevertheless, long-term consequences such as heart failure development, are still one of the leading causes of death worldwide. Inflammation is critically involved in the cardiac healing process after MI and has a dual role, contributing to both tissue healing and tissue damage. In the last decade, a lot of attention was given to targeting inflammation as a potential therapeutic approach in MI, but the poor understanding of inflammatory cell heterogeneity and function is a limit to the development of immune modulatory strategies. The recent development of tools to profile immune cells with high resolution has provided a unique opportunity to better understand immune cell heterogeneity and dynamics in the ischemic heart.
In this thesis, we employed single-cell RNA-sequencing combined with detection of epitopes by sequencing (CITE-seq) to refine our understanding of neutrophils and monocytes/macrophages heterogeneity and dynamic after experimental myocardial infarction.
Neutrophils rapidly invade the infarcted heart shortly after ischemic damage and have previously been proposed to display time-dependent functional heterogeneity. At the single-cell level, we observed dynamic transcriptional heterogeneity in neutrophil populations during the acute post-MI phase and defined previously unknown cardiac neutrophil states. In particular, we identified a locally acquired SiglecFhi neutrophil state that displayed higher ROS production and phagocytic ability compared to newly recruited neutrophils, suggesting the acquisition of specific function in the infarcted heart. These findings highlight the importance of the tissue microenvironment in shaping neutrophil response.
From the macrophage perspective, we characterized MI-associated monocyte-derived macrophage subsets, two with a pro-inflammatory gene signature (MHCIIhiIl1βhi) and three Trem2hi macrophage populations with a lipid associated macrophage (LAM) signature, also expressing pro-fibrotic and tissue repair genes. Combined analysis of blood monocytes and cardiac monocyte/macrophages indicated that the Trem2hi LAM signature is acquired in the infarcted heart.
We furthermore characterized the role of TREM2, a surface protein expressed mainly in macrophages and involved in macrophage survival and function, in the post-MI macrophage response and cardiac repair. Using TREM2 deficient mice, we demonstrate that acquisition of the LAM signature in cardiac macrophages after MI is partially dependent on TREM2. While their cardiac function was not affected, TREM2 deficient mice showed reduced collagen deposition in the heart after MI. Thus, our data in Trem2-deficient mice highlight the role of TREM2 in promoting a macrophage pro-fibrotic phenotype, in line with the pro-fibrotic/tissue repair gene signature of the Trem2hi LAM-signature genes.
Overall, our data provide a high-resolution characterization of neutrophils and macrophage heterogeneity and dynamics in the ischemic heart and can be used as a valuable resource to investigate how these cells modulate the healing processes after MI. Furthermore, our work identified TREM2 as a regulator of macrophage phenotype in the infarcted heart
The present study investigates the infection rates of parasites, morbidity, and the living conditions of street children and orphans in Mwanza city, northern Tanzania. A high percentage of orphans and street children in Mwanza city is infected with one or more parasites. A significantly higher rate of infections with S. mansoni in street children as compared with orphans could be observed. The prevalence of S. mansoni determined by POC CCA test was 65.9% for orphans and 94.5% for street children. 19.2% of the orphans tested positive for S. mansoni in Kato Katz. Of the street children, 77.1% showed positive test results in Kato-Katz. Only 1.3% of the orphans stated in the questionnaire that they use the lake to wash, whereas 91.1% of the street children named the lake as at least one of their options for washing. Protozoal infections used as a marker for hygiene were at a comparable level for both groups. Microscopy showed positive results for G. intestinalis in 8.2% and for E. histolytica/dispar in 23% of orphans and 8.1% for G. intestinalis, and 23.8% for E. histolytica/dispar in street children. Through ultrasonography, we observed no signs of severe PPF and only a few mild PPF patterns. Most street children use the lake to wash and often do not have access to adequate sanitation. However, everyone in the study group indicated having access to safe drinking water. Overall, we found the general hygienic conditions for both groups to be inadequate. With the help of simple public health measures, like improve sanitation and regular mass drug administration, the overall situation would likely be considerably improved.
Many arthropods such as mosquitoes, ticks, bugs, and flies are vectors for the transmission of pathogenic parasites, bacteria, and viruses. Among these, the unicellular parasite Trypanosoma brucei (T. brucei) causes human and animal African trypanosomiases and is transmitted to the vertebrate host by the tsetse fly. In the fly, the parasite goes through a complex developmental cycle in the alimentary tract and salivary glands ending with the cellular differentiation into the metacyclic life cycle stage. An infection in the mammalian host begins when the fly takes a bloodmeal, thereby depositing the metacyclic form into the dermal skin layer. Within the dermis, the cell cycle-arrested metacyclic forms are activated, re-enter the cell cycle, and differentiate into proliferative trypanosomes, prior to dissemination throughout the host.
Although T. brucei has been studied for decades, very little is known about the early events in the skin prior to systemic dissemination. The precise timing and the mechanisms controlling differentiation of the parasite in the skin continue to be elusive, as does the characterization of the proliferative skin-residing trypanosomes. Understanding the first steps of an infection is crucial for developing novel strategies to prevent disease establishment and its progression.
A major shortcoming in the study of human African trypanosomiasis is the lack of suitable infection models that authentically mimic disease progression. In addition, the production of infectious metacyclic parasites requires tsetse flies, which are challenging to keep. Thus, although animal models - typically murine - have produced many insights into the pathogenicity of trypanosomes in the mammalian host, they were usually infected by needle injection into the peritoneal cavity or tail vein, bypassing the skin as the first entry point. Furthermore, animal models are not always predictive for the infection outcome in human patients. In addition, the relatively small number of metacyclic parasites deposited by the tsetse flies makes them difficult to trace, isolate, and study in animal hosts.
The focus of this thesis was to develop and validate a reconstructed human skin equivalent as an infection model to study the development of naturally-transmitted metacyclic parasites of T. brucei in mammalian skin. The first part of this work describes the development and characterization of a primary human skin equivalent with improved mechanical properties. To achieve this, a computer-assisted compression system was designed and established. This system allowed the improvement of the mechanical stability of twelve collagen-based dermal equivalents in parallel through plastic compression, as evaluated by rheology. The improved dermal equivalents provided the basis for the generation of the skin equivalents and reduced their contraction and weight loss during tissue formation, achieving a high degree of standardization and reproducibility. The skin equivalents were characterized using immunohistochemical and histological techniques and recapitulated key anatomical, cellular, and functional aspects of native human skin. Furthermore, their cellular heterogeneity was examined using single-cell RNA sequencing - an approach which led to the identification of a remarkable repertoire of extracellular matrix-associated genes expressed by different cell subpopulations in the artificial skin. In addition, experimental conditions were established to allow tsetse flies to naturally infect the skin equivalents with trypanosomes.
In the second part of the project, the development of the trypanosomes in the artificial skin was investigated in detail. This included the establishment of methods to successfully isolate skin-dwelling trypanosomes to determine their protein synthesis rate, cell cycle and metabolic status, morphology, and transcriptome. Microscopy techniques to study trypanosome motility and migration in the skin were also optimized. Upon deposition in the artificial skin by feeding tsetse, the metacyclic parasites were rapidly activated and established a proliferative population within one day. This process was accompanied by: (I) reactivation of protein synthesis; (II) re-entry into the cell cycle; (III) change in morphology; (IV) increased motility. Furthermore, these observations were linked to potentially underlying developmental mechanisms by applying single-cell parasite RNA sequencing at five different timepoints post-infection.
After the initial proliferative phase, the tsetse-transmitted trypanosomes appeared to enter a reversible quiescence program in the skin. These quiescent skin-residing trypanosomes were characterized by very slow replication, a strongly reduced metabolism, and a transcriptome markedly different from that of the deposited metacyclic forms and the early proliferative trypanosomes. By mimicking the migration from the skin to the bloodstream, the quiescent phenotype could be reversed and the parasites returned to an active proliferating state. Given that previous work has identified the skin as an anatomical reservoir for T. brucei during disease, it is reasonable to assume that the quiescence program is an authentic facet of the parasite's behavior in an infected host.
In summary, this work demonstrates that primary human skin equivalents offer a new and promising way to study vector-borne parasites under close-to-natural conditions as an alternative to animal experimentation. By choosing the natural transmission route - the bite of an infected tsetse fly - the early events of trypanosome infection have been detailed with unprecedented resolution. In addition, the evidence here for a quiescent, skin-residing trypanosome population may explain the persistence of T. brucei in the skin of aparasitemic and asymptomatic individuals. This could play an important role in maintaining an infection over long time periods.
The 1st chapter provides a detailed review of the development of synthetic approaches to triarylboranes from their first report nearly 135 years ago to the present. In the 2nd chapter, a novel and convenient methodology is reported for the one-pot synthesis of sterically-congested triarylboranes, using bench-stable aryltrifluoroborates as the boron source. The new procedure gives access to symmetrically- and unsymmetrically-substituted triarylboranes. The borylated triarylboranes are suggested as building blocks for the design of functional materials. In the 3rd chapter, four luminescent tetracationic bis-triarylborane DNA and RNA sensors that show high binding affinities, in several cases even in the nM range, are investigated. The molecular structures of two of the neutral precursors reveal some structural flexibility for these compounds in the solid state. The compounds were found to be highly emissive even in water and DNA and RNA binding affinities were found to be dependent on linker length and flexibility. Strong SERS responses for three of the four compounds demonstrate the importance of triple bonds for strong Raman activity in molecules of this compound class. In chapter 4, the compound class of water-soluble tetracationic bis-triarylborane chromophores is extended by EDOT-linked compounds and those are compared to their thiophene-containing analogs. Absorption and emission are significantly red-shifted in these compounds, compared to their thiophene-containing analogs and, due to a large Stokes shift, one of the reported compounds exhibits the most bathochromically shifted emission, observable well into the near infrared region, of all tetracationic water-soluble bis-triarylborane chromophores reported to date. Long-lived excited states, completely quenched by oxygen, were observed for the water-stable compounds of this study via transient absorption spectroscopy and a quantum yield for singlet oxygen formation of 0.6 was determined for one of them.
Abstract:
COVID-19 has impressively shown how quickly an emerging pathogen can have a massive impact on our entire lives and show how infectious diseases spread regardless of national borders and economic stability. We find ourselves in a post-antibiotic era and have rested too long on the laurels of past research, so today more and more people are dying from infections with multi-resistant germs.
Infections are highly plastic and heterogeneous processes that are strongly dependent on the individual, whether on the host or pathogen side.
Improving our understanding of the pathogenicity of microorganisms and finding potential targets for a completely new class of drugs is a declared goal of current basic research. To tackle this challenge, single-cell RNA sequencing (scRNA-seq) is our most accurate tool.
In this thesis we implemented different state of the art scRNA-seq technologies to better understand infectious diseases. Furthermore, we developed a new method which is capable to resolve the transcriptome of a single bacterium. Applying a poly(A)-independent scRNA-seq protocol to three different, infection relevant growth conditions we can report the faithful detection of growth-dependent gene expression patterns in individual Salmonella Typhimurium and Pseudomonas aeruginosa bacteria. The data analysis shows that this method not only allows the differentiation of various culture conditions but can also capture transcripts across different RNA species.
Furthermore, using state of the art imaging and single-cell RNA sequencing technologies, we comprehensively characterized a human intestinal tissue model which in further course of the project was used as a Salmonella enterica serovar Typhimurium infection model. While most infection studies are conducted in mice, lacking a human intestinal physiology, the in vitro human tissue model allows us to directly infer in vivo pathogenesis. Combining immunofluorescent imaging, deep single-cell RNA sequencing and HCR-FISH, applied in time course experiments, allows an unseen resolution for studying heterogeneity and the dynamics of Salmonella infection which reveals details of pathogenicity contrary to the general scientific opinion.
Infectious diseases caused by pathogenic microorganisms are one of the largest socioeconomic burdens today. Although infectious diseases have been studied for decades, in numerous cases, the precise mechanisms involved in the multifaceted interaction between pathogen and host continue to be elusive. Thus, it still remains a challenge for researchers worldwide to develop novel strategies to investigate the molecular context of infectious diseases in order to devise preventive or at least anti-infective measures. One of the major drawbacks in trying to obtain in-depth knowledge of how bacterial pathogens elicit disease is the lack of suitable infection models to authentically mimic the disease progression in humans. Numerous studies rely on animal models to emulate the complex temporal interactions between host and pathogen occurring in humans. While they have greatly contributed to shed light on these interactions, they require high maintenance costs, are afflicted with ethical drawbacks, and are not always predictive for the infection outcome in human patients. Alternatively, in-vitro two-dimensional (2D) cell culture systems have served for decades as representatives of human host environments to study infectious diseases. These cell line-based models have been essential in uncovering virulence-determining factors of diverse pathogens as well as host defense mechanisms upon infection. However, they lack the morphological and cellular complexity of intact human tissues, limiting the insights than can be gained from studying host-pathogen interactions in these systems.
The focus of this thesis was to establish and innovate intestinal human cell culture models to obtain in-vitro reconstructed three-dimensional (3D) tissue that can faithfully mimic pathogenesis-determining processes of the zoonotic bacterium Campylobacter jejuni (C. jejuni). Generally employed for reconstructive medicine, the field of tissue engineering provides excellent tools to generate organ-specific cell culture models in vitro, realistically recapitulating the distinctive architecture of human tissues. The models employed in this thesis are based on decellularized extracellular matrix (ECM) scaffolds of porcine intestinal origin. Reseeded with intestinal human cells, application of dynamic culture conditions promoted the formation of a highly polarized mucosal epithelium maintained by functional tight and adherens junctions. While most other in-vitro infection systems are limited to a flat monolayer, the tissue models developed in this thesis can display the characteristic 3D villi and crypt structure of human small intestine.
First, experimental conditions were established for infection of a previously developed, statically cultivated intestinal tissue model with C. jejuni. This included successful isolation of bacterial colony forming units (CFUs), measurement of epithelial barrier function, as well as immunohistochemical and histological staining techniques. In this way, it became possible to follow the number of viable bacteria during the infection process as well as their translocation over the polarized epithelium of the tissue model. Upon infection with C. jejuni, disruption of tight and adherens junctions could be observed via confocal microscopy and permeability measurements of the epithelial barrier. Moreover, C. jejuni wildtype-specific colonization and barrier disruption became apparent in addition to niche-dependent bacterial localization within the 3D microarchitecture of the tissue model. Pathogenesis-related phenotypes of C. jejuni mutant strains in the 3D host environment deviated from those obtained with conventional in-vitro 2D monolayers but mimicked observations made in vivo. Furthermore, a genome-wide screen of a C. jejuni mutant library revealed significant differences for bacterial factors required or dispensable for interactions with unpolarized host cells or the highly prismatic epithelium provided by the intestinal tissue model. Elucidating the role of several previously uncharacterized factors specifically important for efficient colonization of a 3D human environment, promises to be an intriguing task for future research.
At the frontline of the defense against invading pathogens is the protective, viscoelastic mucus layer overlying mucosal surfaces along the human gastrointestinal tract (GIT). The development of a mucus-producing 3D tissue model in this thesis was a vital step towards gaining a deeper understanding of the interdependency between bacterial pathogens and host-site specific mucins. The presence of a mucus layer conferred C. jejuni wildtype-specific protection against epithelial barrier disruption by the pathogen and prevented a high bacterial burden during the course of infection. Moreover, results obtained in this thesis provide evidence in vitro that the characteristic corkscrew morphology of C. jejuni indeed grants a distinct advantage in colonizing mucous surfaces.
Overall, the results obtained within this thesis highlight the strength of the tissue models to combine crucial features of native human intestine into accessible in-vitro infection models. Translation of these systems into infection research demonstrated their ability to expose in-vivo like infection outcomes. While displaying complex organotypic architecture and highly prismatic cellular morphology, these tissue models still represent an imperfect reflection of human tissue. Future advancements towards inclusion of human primary and immune cells will strive for even more comprehensive model systems exhibiting intricate multicellular networks of in-vivo tissue. Nevertheless, the work presented in this thesis emphasizes the necessity to investigate host-pathogen interactions in infection models authentically mimicking the natural host environment, as they remain among the most vital parts in understanding and counteracting infectious diseases.
Development, Simulation and Evaluation of Mobile Wireless Networks in Industrial Applications
(2023)
Manyindustrialautomationsolutionsusewirelesscommunicationandrelyontheavail-
ability and quality of the wireless channel. At the same time the wireless medium is
highly congested and guaranteeing the availability of wireless channels is becoming
increasingly difficult. In this work we show, that ad-hoc networking solutions can be
used to provide new communication channels and improve the performance of mobile
automation systems. These ad-hoc networking solutions describe different communi-
cation strategies, but avoid relying on network infrastructure by utilizing the Peer-to-
Peer (P2P) channel between communicating entities.
This work is a step towards the effective implementation of low-range communication
technologies(e.g. VisibleLightCommunication(VLC), radarcommunication, mmWave
communication) to the industrial application. Implementing infrastructure networks
with these technologies is unrealistic, since the low communication range would neces-
sitate a high number of Access Points (APs) to yield full coverage. However, ad-hoc
networks do not require any network infrastructure. In this work different ad-hoc net-
working solutions for the industrial use case are presented and tools and models for
their examination are proposed.
The main use case investigated in this work are Automated Guided Vehicles (AGVs)
for industrial applications. These mobile devices drive throughout the factory trans-
porting crates, goods or tools or assisting workers. In most implementations they must
exchange data with a Central Control Unit (CCU) and between one another. Predicting
if a certain communication technology is suitable for an application is very challenging
since the applications and the resulting requirements are very heterogeneous.
The proposed models and simulation tools enable the simulation of the complex inter-
action of mobile robotic clients and a wireless communication network. The goal is to
predict the characteristics of a networked AGV fleet.
Theproposedtoolswereusedtoimplement, testandexaminedifferentad-hocnetwork-
ing solutions for industrial applications using AGVs. These communication solutions
handle time-critical and delay-tolerant communication. Additionally a control method
for the AGVs is proposed, which optimizes the communication and in turn increases the
transport performance of the AGV fleet. Therefore, this work provides not only tools
for the further research of industrial ad-hoc system, but also first implementations of
ad-hoc systems which address many of the most pressing issues in industrial applica-
tions.
To reach their target site, systemic pesticides must enter the plant from a spray droplet applied in the field. The uptake of an active ingredient (AI) takes place via the barrier-forming cuticular membrane, which is the outermost layer of the plant, separating it from the surrounding environment. Formulations are usually used which, in addition to the AI, also contain stabilizers and adjuvants. Adjuvants can either have surface-active properties or they act directly as barrier-modifying agents. The latter are grouped in the class of accelerating adjuvants, whereby individual variants may also have surface-active properties. The uptake of a pesticide from a spray droplet depends essentially on its permeability through the cuticular barrier. Permeability defines a combined parameter, which is the product of AI mobility and AI solubility within the cuticle. In recent decades, several tools have been developed that allowed the determination of individual parameters of organic compound penetration across the cuticular membrane. Nevertheless, earlier studies showed that mainly cuticular waxes are the barrier-determining component of the cuticular membrane and additionally, it was shown that mainly the very-long-chain aliphatic compounds (VLCAs) are responsible for establishing an effective barrier. However, the barrier-determining role of the individual VLCAs, being classified according to their respective functional groups, is still unknown.
Therefore, the following objectives were pursued and achieved in this work: (1) A new ATR-FTIR-based approach was developed to measure the temperature-dependent real-time diffusion kinetics of organic models for active ingredients (AIs) in paraffin wax, exclusively consisting of very-long chain alkanes. (2) The developed ATR-FTIR approach was applied to determine the diffusion kinetics of self-accelerating adjuvants in cuticular model waxes of different VLCA composition. At the same time, wax-specific changes were recorded in the respective IR spectra, which provided information about the respective wax modification. (3) The ATR-FTIR method was used to characterize the diffusion kinetics, as well as to determine the wax-specific sorption capacities for an AI-modeling organic compound and water in cuticular model waxes after adjuvant treatment. Regarding the individual chemical compositions and structures, conclusions were drawn about the adjuvant-specific modes of action (MoA).
In the first chapter, the ATR-FTIR based approach to determine organic compound diffusion kinetics in paraffin wax was successfully established. The diffusion kinetics of the AI modelling organic compounds heptyl parabene (HPB) and 4-cyanophenol (CNP) were recorded, comprising different lipophilicities and molecular volumes typical for AIs used in pesticide formulations. Derived diffusion coefficients ranged within 10-15 m2 s-1, thus being thoroughly higher than those obtained from previous experiments using an approach solely investigating desorption kinetics in reconstituted cuticular waxes. An ln-linear dependence between the diffusion coefficients and the applied diffusion temperature was demonstrated for the first time in cuticular model wax, from which activation energies were derived. The determined activation energies were 66.2 ± 7.4 kJ mol-1 and 56.4 ± 9.8 kJ mol-1, being in the expected range of already well-founded activation energies required for organic compound diffusion across cuticular membranes, which again confirmed the significant contribution of waxes to the cuticular barrier. Deviations from the assumed Fickian diffusion were attributed to co-occurring water diffusion and apparatus-specific properties.
In the second and third chapter, mainly the diffusion kinetics of accelerating adjuvants in the cuticular model waxes candelilla wax and carnauba wax were investigated, and simultaneously recorded changes in the wax-specific portion of the IR spectrum were interpreted as indications of plasticization. For this purpose, the oil derivative methyl oleate, as well as the organophosphate ester TEHP and three non-ionic monodisperse alcohol ethoxylates (AEs) C12E2, C12E4 and C12E6 were selected. Strong dependence of diffusion on the respective principal components of the mainly aliphatic waxes was demonstrated. The diffusion kinetics of the investigated adjuvants were faster in the n-alkane dominated candelilla wax than in the alkyl ester dominated carnauba wax. Furthermore, the equilibrium absorptions, indicating equilibrium concentrations, were also higher in candelilla wax than in carnauba wax. It was concluded that alkyl ester dominated waxes feature higher resistance to diffusion of accelerating adjuvants than alkane dominated waxes with shorter average chain lengths due to their structural integrity. This was also found either concerning candelilla/policosanol (n-alcohol) or candelilla/rice bran wax (alkyl-esters) blends: with increasing alcohol concentration, the barrier function was decreased, whereas it was increased with increasing alkyl ester concentration. However, due to the high variability of the individual diffusion curves, only a trend could be assumed here, but significant differences were not shown. The variability itself was described in terms of fluctuating crystalline arrangements and partial phase separation of the respective wax mixtures, which had inevitable effects on the adjuvant diffusion. However, diffusion kinetics also strongly depended on the studied adjuvants. Significantly slower methyl oleate diffusion accompanied by a less pronounced reduction in orthorhombic crystallinity was found in carnauba wax than in candelilla wax, whereas TEHP diffusion was significantly less dependent on the respective wax structure and therefore induced considerable plasticization in both waxes. Of particular interest was the AE diffusion into both waxes. Differences in diffusion kinetics were also found here between candelilla blends and carnauba wax. However, these depended equally on the degree of ethoxylation of the respective AEs. The lipophilic C12E2 showed approximately Fickian diffusion kinetics in both waxes, accompanied by a drastic reduction in orthorhombic crystallinity, especially in candelilla wax, whereas the more hydrophilic C12E6 showed significantly retarded diffusion kinetics associated with a smaller effect on orthorhombic crystallinity. The individual diffusion kinetics of the investigated adjuvants sometimes showed drastic deviations from the Fickian diffusion model, indicating a self-accelerating effect. Hence, adjuvant diffusion kinetics were accompanied by a distinct initial lag phase, indicating a critical concentration in the wax necessary for effective penetration, leading to sigmoidal rather than to exponential diffusion kinetics.
The last chapter dealt with the adjuvant-affected diffusion of the AI modelling CNP in candelilla and carnauba wax. Using ATR-FTIR, diffusion kinetics were recorded after adjuvant treatment, all of which were fully explicable based on the Fickian model, with high diffusion coefficients ranging from 10-14 to 10-13 m2 s-1. It is obvious that the diffusion coefficients presented in this work consistently demonstrated plasticization induced accelerated CNP mobilities. Furthermore, CNP equilibrium concentrations were derived, from which partition- and permeability coefficients could be determined. Significant differences between diffusion coefficients (mobility) and partition coefficients (solubility) were found on the one hand depending on the respective waxes, and on the other hand depending on treatment with respective adjuvants. Mobility was higher in candelilla wax than in carnauba wax only after methyl oleate treatment. Treatment with TEHP and AEs resulted in higher CNP mobility in the more polar alkyl ester dominated carnauba wax. The partition coefficients, on the other hand, were significantly lower after methyl oleate treatment in both candelilla and carnauba wax as followed by TEHP or AE treatment. Models were designed for the CNP penetration mode considering the respective adjuvants in both investigated waxes. Co-penetrating water, which is the main ingredient of spray formulations applied in the field, was likely the reason for the drastic differences in adjuvant efficacy. Especially the investigated AEs favored an enormous water uptake in both waxes with increasing ethoxylation level. Surprisingly, this effect was also found for the lipophilic TEHP in both waxes. This led to the assumption that the AI permeability is not exclusively determined by adjuvant induced plasticization, but also depends on a “secondary plasticization”, induced by adjuvant-attracted co-penetrating water, consequently leading to swelling and drastic destabilization of the crystalline wax structure.
The successful establishment of the presented ATR-FTIR method represents a milestone for the study of adjuvant and AI diffusion kinetics in cuticular waxes. In particular, the simultaneously detectable wax modification and, moreover, the determinable water uptake form a perfect basis to establish the ATR-FTIR system as a universal screening tool for wax-adjuvants-AI-water interaction in crop protection science.
Disentangling the Formation of PAHs in Extreme Environments by IR/UV Double Resonance Spectroscopy
(2023)
Polycyclic Aromatic Hydrocarbons (PAHs) are considered as key building blocks in the formation of carbonaceous particles such as soot. In our immediate surroundings, they are mainly generated in incomplete combustion processes and are further considered as carriers of the Unidentified Infrared Bands which are detected in a wide variety of astrophysical envelopes in the interstellar medium. Currently, astrochemical as well as combustion related models favour small resonance stabilized radicals (RSR) as major contributors to PAHs in sequential reactions. Therefore, we generated two RSR under well-defined conditions to investigate their contribution to PAH formation in a pyrolysis microreactor. The various reaction products were identified by IR/UV ion dip spectroscopy which combines the mass-selectivity of UV light with the structural sensitivity of IR radiation. Finally, we investigated the intermolecular interactions in azaphenanthrene dimers in combination with high-level theoretical calculations and found a preferential formation of pi-stacked van der Waals cluster in a molecular jet expansion.
The recent pandemic has reminded the public that basic research in virology is pivotal for human health. Understanding the mechanisms of successful viral replication and the role of host factors can help to combat viral infections and prevent future pandemics.
Our lab has published the first SARS-CoV-2 RNA-protein interaction atlas, laying the foundation to investigate the interplay between viral RNA and host RNA binding proteins (RBP). Based on this, my project created the largest collection of binding profiles of host and viral RBPs on SARS-CoV-2 RNA to date. This revealed the host protein SND1 as the first human RBP that specifically binds negative sense viral RNA at the 5´ end, a region associated with viral transcription initiation. The binding profile shares similarities with the viral RBP nsp9, which binds the 5´ ends of positive and negative sense SARS-CoV-2 RNA. Depletion of SND1 shows reduced levels of viral RNA revealing it as a proviral host factor. To decode the underlying molecular mechanism, I characterized the protein-protein interactions of SND1 in SARS-CoV-2 infected and uninfected cells. Infection remodels the protein interactors of SND1 from general RNA biology to membrane association and viral RNA synthesis. Upon infection, SND1 specifically interacts with nsp9, the RBP that shares the same binding region on the negative strand of SARS-CoV-2 RNA. Recent work demonstrates that nsp9 is NMPylated in vitro suggesting a functional role of nsp9 in priming of viral RNA synthesis. I was able to show that nsp9 is covalently linked to the 5´ ends of SARS-CoV-2 RNA during infection of human cells. Analysing the covalent bond of nsp9 with the viral RNA on nucleotide level shows close proximity to the initiation sites of viral RNA synthesis, suggesting that nsp9 acts as a protein-primer of SARS-CoV-2 RNA synthesis. SND1 modulates the distribution of nsp9 on the viral RNA, since depletion of SND1 results in imbalanced occupancy of nsp9 at the 5´ends of viral RNA.
This study is the first to provide evidence for the priming mechanism of SARS-CoV-2 in authentic viral replication and further reveals how this mechanism is modulated by the host RBP SND1. Detailed knowledge about priming of viral RNA synthesis can help to find targeted antivirals that could be used to fight coronaviral infections.
Calcium ion (Ca2+) and protons (H+) are both regarded as second messengers, participating in plant growth and stress mechanisms. However, H+ signals in plant physiology are less well investigated compared to Ca2+ signals. If interconnections between these two second messengers exist remains to be uncovered because appropriate imaging tools to monitor Ca2+ and H+ simultaneously in the same cell as well as accurate bioinformatics analysis remain to be developed. To overcome this problem and unravel the role and possible interconnection of Ca2+ and H+ in plants, a new biosensor named CapHensor was developed and optimized to visualize intracellular Ca2+ and H+ changes simultaneously and ratiometrically in the same cell. The CapHensor consisted of an optimized green fluorescent pH sensor (PRpHluorin) and an established red fluorescent Ca2+ sensor (R-GECO1) that were combined in one construct via a P2A sequence. A P2A self-cleavage site between the two sensors allowed to express equal amounts but spatially separated sensors, which enabled artifact-free and ratiometric imaging of cellular Ca2+ and pH side-by-side. The function of the CapHensor was verified in pollen tubes, since they possess standing Ca2+ and pH gradients. We found better imaging quality and the signal-to-noise ratio to be enhanced in live-cell imaging when two R-GECO1 proteins were fused in tandem within the CapHensor construct. To guarantee exclusive subcellular localization and avoid mixed signals from different compartments, Nuclear Export Sequence (NES) and Nuclear Localization Sequence (NLS) were used to target PRpHluorin and R-GECO1 to distinct compartments. After optimization and verification its function, CapHensor was successfully expressed in different cell types to investigate the role of Ca2+ and H+ signals to control polar growth of pollen tube, stomatal movement or leaf defense signaling. Results obtained in the past indicated both Ca2+ gradients and pH gradients in pollen tubes play roles in polar growth. However, the role and temporal relationship between the growth process and changes in Ca2+ and pH have not been conclusively resolved. Using CapHensor, I found cytosolic acidification at the tip could promote and alkalization to suppress growth velocity in N. tabacum pollen tubes, indicating that cytosolic H+ concentrations ([H+]cyt) play an important role in regulation pollen tubes growth despite the accompanied changes in cytosolic Ca2+ concentrations ([Ca2+]cyt). Moreover, growth correlated much better with the tip [H+]cyt regime than with the course of the tip [Ca2+]cyt regime. However, surprisingly, tip-focused [Ca2+]cyt andII [H+]cyt oscillations both lagged behind growth oscillations approximately 33 s and 18 s, respectively, asking for a re-evaluation of the role that tip [Ca2+]cyt may play in pollen tube growth. Live-cell CapHensor imaging combined with electrophysiology uncovered that oscillatory membrane depolarization correlated better with tip [H+]cyt oscillations than with tip [Ca2+]cyt oscillations, indicative for a prominent role of [H+]cyt to also control electrogenic membrane transport. Using CapHensor, reading out cellular movement at the same time enabled to provide a precise temporal and spatial resolution of ion signaling events, pointing out a prominent role of [H+]cyt in pollen tube tip growth. For leaf cells, a special CapHensor construct design had to be developed, containing additional NES localization sequences to avoid overlapping of fluorescense signals from the nucleus and the cytosol. Once this was achieved, the role of Ca2+ and pH changes in guard cells, another typical single-cell system was investigated. Cytosolic pH changes have been described in stomatal movement, but the physiological role of pH and the interaction with changing Ca2+ signals were still unexplored. Combining CapHensor with the here developed technique to monitor stomatal movement in parallel, the role of Ca2+ and H+ in stomatal movement was studied in detail and novel aspects were identified. The phytohormone ABA and the bacterial elicitor flagellin (flg22) are typical abiotic and biotic stresses, respectively, to trigger stomatal closure. What kind of Ca2+ and H+ signals by ABA and flg22 are set-off in guard cells and what their temporal relationship and role for stomatal movement is were unknown. Similar [Ca2+]cyt increases were observed upon ABA and flg22 triggered stomatal closure, but [H+]cyt dynamics differed fundamentally. ABA triggered pronounced cytosolic alkalization preceded the [Ca2+]cyt responses significantly by 57 s while stomata started to close ca. 205 s after phytohormone application. With flg22, stomatal closure was accompanied only with a mild cytosolic alkalization but the [Ca2+]cyt response was much more pronounced compared to the ABA effects. Where the cytosolic alkalization originates from was unclear but the vacuole was speculated to contribute in the past. In this thesis, vacuolar pH changes were visualized by the dye BCECF over time, basically displaying exactly the opposite course of the concentration shift in the vacuole than observed in the cytosol. This is indicative for the vacuolar pH dynamics to be coupled strongly to the cytosolic pH changes. In stomatal closure signalling, reactive oxygen species (ROS) were proposed to play a major role, however, only very high concentration of H2O2 (> 200 µM), which resulted in the loss of membrane integrity, induced stomatal closure. Unexpectedly, physiological concentrations of ROS led to cytosolic acidificationIII which was associated with stomatal opening, but not stomatal closure. To study the role of [H+]cyt to steer stomatal movement in detail, extracellular and intracellular pH variations were evoked in N. tabacum guard cells and their behaviour was followed. The results demonstrated cytosolic acidification stimulated stomatal opening while cytosolic alkalization triggered stomatal closure accompanied by [Ca2+]cyt elevations. This demonstrated pH regulation to be an important aspect in stomatal movement and to feed-back on the Ca2+-dynamics. It was remarkable that cytosolic alkalization but not [Ca2+]cyt increase seemed to play a crucial role in stomatal closure, because more pronounced cytosolic alkalization, evoked stronger stomatal closure despite similar [Ca2+]cyt increases. Increases in [Ca2+]cyt, which are discussed as an early stomatal closure signal in the past, could not trigger stomatal closure alone in my experiments, even when extremely strong [Ca2+]cyt signals were triggered. Regarding the interaction between the two second messengers, [Ca2+]cyt and [H+]cyt were negatively correlated most of the times, which was different from pollen tubes showing positive correlation of [Ca2+]cyt and [H+]cyt regimes. [Ca2+]cyt elevations were always associated with a cytosolic alkalization and this relationship could be blocked by the presence of vanadate, a plasma membrane H+-pump blocker, indicating plasma membrane H+-ATPases to contribute to the negative correlation of [Ca2+]cyt and [H+]cyt. To compare with guard cells, cytosolic and nuclear versions of CapHensor were expressed in N. benthamiana mesophyll cells, a multicellular system I investigated. Mesophyll cell responses to the same stimuli as tested in guard cells demonstrated that ABA and H2O2 did not induce any [Ca2+]cyt and [H+]cyt changes while flg22 induced an increase in [Ca2+]cyt and [H+]cyt, which is different from the response in guard cells. I could thus unequivocally demonstrate that guard cells and mesophyll cells do respond differently with [Ca2+]cyt and [H+]cyt changes to the same stimuli, a concept that has been proposed before, but never demonstrated in such detail for plants. Spontaneous Ca2+ oscillations have been observed for a long time in guard cells, but the function or cause is still poorly understood. Two populations of oscillatory guard cells were identified according to their [Ca2+]cyt and [H+]cyt phase relationship in my study. In approximately half of the oscillatory cells, [H+]cyt oscillations preceded [Ca2+]cyt oscillations whereas [Ca2+]cyt was the leading signal in the other half of the guard cells population. Strikingly, natural [H+]cyt oscillations were dampened by ABA but not by flg22. This effect could be well explained by dampening of vacuolar H+ oscillations in the presence of ABA, but not through flg22. Vacuolar pH contributes to spontaneous [H+]cyt oscillations and ABA but not flg22 can block the interdependence of naturalIV [Ca2+]cyt and [H+]cyt signals. To study the role of [Ca2+]cyt oscillations in stomatal movement, solutions containing high and low KCl concentrations were applied aiming to trigger [Ca2+]cyt oscillations. The triggering of [Ca2+]cyt oscillations by this method was established two decades ago leading to the dogma that [Ca2+]cyt increases are the crucial signal for stomatal closure. However, I found stomatal movement by this method was mainly due to osmotic effects rather than [Ca2+]cyt increases. Fortunately, through this methodology, I found a strong correlation between cytosolic pH and the transport of potassium across the plasma membrane and vacuole existed. The plasma membrane H+-ATPases and H+-coupled K+ transporters were identified as the cause of [H+]cyt changes, both very important aspects in stomata physiology that were not visualized experimentally before. Na+ transport is also important for stomatal regulation and leaves generally since salt can be transported from the root to the shoot. Unlike well-described Ca2+- dependent mechanisms in roots, how leaves process salt stress is not at all understood. I applied salt on protoplasts from leaves, mesophyll cells and guard cells and combined live-cell imaging with Vm recordings to understand the transport and signaling for leaf cells to cope with salt stress. In both, mesophyll and guard cells, NaCl did not trigger Ca2+-signals as described for roots but rather triggered Ca2+ peaks when washing salt out. However, membrane depolarization and pronounced alkalinization were very reliably triggered by NaCl, which could presumably act as a signal for detoxification of high salt concentrations. In line with this, I found the vacuolar cation/H+ antiporter NHX1 to play a role in sodium transport, [H+]cyt homeostasis and the control of membrane potential. Overexpression of AtNHX1 enabled to diminish [H+]cyt changes and resulted in a smaller depolarization responses druing NaCl stress. My results thus demonstrated in contrast to roots, leaf cells do not use Ca2+-dependent signalling cascades to deal with salt stress. I could show Na+ and K+ induced [H+]cyt and Vm responses and Cl- transport to only have a minor impact. Summing all my results up briefly, I uncovered pH signals to play important roles to control pollen tube growth, stomatal movement and leaf detoxification upon salt. My results strongly suggested pH changes might be a more important signal than previously thought to steer diverse processes in plants. Using CapHensor in combination with electrophysiology and bioinformatics tools, I discovered distinct interconnections between [Ca2+]cyt and [H+]cyt in different cell types and distinct [Ca2+]cyt and [H+]cyt signals are initiated through diverse stimuli and environmental cues. The CapHensor will be very useful in the future to further investigate the coordinated role of Ca2+ and pH changes in controlling plant physiology.
In highly polarized neurons, endoplasmic reticulum (ER) forms a dynamic and continuous network in axons that plays important roles in lipid synthesis, Ca2+ homeostasis and the maintenance of synapses. However, the mechanisms underlying the regulation of axonal ER dynamics and its function in regulation of local translation still remain elusive. In the course of my thesis, I investigated the fast dynamic movements of ER and ribosomes in the growth cone of wildtype motoneurons as well as motoneurons from a mouse model of Spinal Muscular Atrophy (SMA), in response to Brain-derived neurotrophic factor (BDNF) stimulation. Live cell imaging data show that ER extends into axonal growth cone filopodia along actin filaments and disruption of actin cytoskeleton by cytochalasin D treatment impairs the dynamic movement of ER in the axonal filopodia. In contrast to filopodia, ER movements in the growth cone core seem to depend on coordinated actions of the actin and microtubule cytoskeleton. Myosin VI is especially required for ER movements into filopodia and drebrin A mediates actin/microtubule coordinated ER dynamics. Furthermore, we found that BDNF/TrkB signaling induces assembly of 80S ribosomes in growth cones on a time scale of seconds. Activated ribosomes relocate to the presynaptic ER and undergo local translation. These findings describe the dynamic interaction between ER and ribosomes during local translation and identify a novel potential function for the presynaptic ER in intra-axonal synthesis of transmembrane proteins such as the α-1β subunit of N-type Ca2+ channels in motoneurons. In addition, we demonstrate that in Smn-deficient motoneurons, ER dynamic movements are impaired in axonal growth cones that seems to be due to impaired actin cytoskeleton. Interestingly, ribosomes fail to undergo rapid structural changes in Smn-deficient growth cones and do not associate to ER in response to BDNF. Thus, aberrant ER dynamics and ribosome response to extracellular stimuli could affect axonal growth and presynaptic function and maintenance, thereby contributing to the pathology of SMA.
Grasslands shape many landscapes of the earth as they cover about one-third of its surface. They are home and provide livelihood for billions of people and are mainly used as source of forage for animals. However, grasslands fulfill many additional ecosystem functions next to fodder production, such as storage of carbon, water filtration, provision of habitats and cultural values. They play a role in climate change (mitigation) and in preserving biodiversity and ecosystem functions on a global scale. The degree to what these ecosystem functions are present within grassland ecosystems is largely determined by the management. Individual management practices and the use intensity influence the species composition as well as functions, like carbon storage, while higher use intensities (e.g. high mowing frequencies) usually show a negative impact. Especially in Central European countries, like in Germany, the determining influence of grassland management on its physiognomy and ecosystem functions leads to a large variability and small-scale alternations of grassland parcels. Large-scale information on the management and use intensity of grasslands is not available. Consequently, estimations of grassland ecosystem functions are challenging which, however, would be required for large-scale assessments of the status of grassland ecosystems and optimized management plans for the future. The topic of this thesis tackles this gap by investigating the major grassland management practice in Germany, which is mowing, for multiple years, in high spatial resolution
and on a national scale.
Earth Observation (EO) has the advantage of providing information of the earth’s surface on multi-temporal time steps. An extensive literature review on the use of EO for grassland management and production analyses, which was part of this thesis, showed that in particular research on grasslands consisting of small parcels with a large variety of management and use intensity, like common in Central Europe, is underrepresented. Especially
the launch of the Sentinel satellites in the recent past now enables the analyses of such grasslands due to their high spatial and temporal resolution. The literature review specifically on the investigation of grassland mowing events revealed that most previous studies focused on small study areas, were exploratory, only used one sensor type and/or lacked a reference data set with a complete range of management options.
Within this thesis a novel framework to detect grassland mowing events over large areas is presented which was applied and validated for the entire area of Germany for multiple years (2018–2021). The potential of both sensor types, optical (Sentinel-2) and Synthetic Aperture Radar (SAR) (Sentinel-1) was investigated regarding grassland mowing event detection. Eight EO parameters were investigated, namely the Enhanced Vegetation Index (EVI), the backscatter intensity and the interferometric (InSAR) temporal coherence for both available polarization modes (VV and VH), and the polarimetric (PolSAR) decomposition parameters Entropy, K0 and K1. An extensive reference data set was generated based on daily images of webcams distributed in Germany which resulted in mowing information
for grasslands with the entire possible range of mowing frequencies – from one to six in Germany – and in 1475 reference mowing events for the four years of interest.
For the first time a observation-driven mowing detection approach including data from Sentinel-2 and Sentinel-1 and combining the two was developed, applied and validated on large scale. Based on a subset of the reference data (13 grassland parcels with 44 mowing events) from 2019 the EO parameters were investigated and the detection algorithm
developed and parameterized. This analysis showed that a threshold-based change detection approach based on EVI captured grassland mowing events best, which only failed during periods of clouds. All SAR-based parameters showed a less consistent behavior to mowing events, with PolSAR Entropy and InSAR Coherence VH, however, revealing the
highest potential among them. A second, combined approach based on EVI and a SARbased parameter was developed and tested for PolSAR Entropy and InSAR VH. To avoid additional false positive detections during periods in which mowing events are anyhow reliably detected using optical data, the SAR-based mowing detection was only initiated
during long gaps within the optical time series (< 25 days). Application and validation of
these approaches in a focus region revealed that only using EVI leads to the highest accuracies (F1-Score = 0.65) as combining this approach with SAR-based detection led to a strong increase in falsely detected mowing events resulting in a decrease of accuracies (EVI + PolSAR ENT F1-Score = 0.61; EVI + InSAR COH F1-Score = 0.61).
The mowing detection algorithm based on EVI was applied for the entire area of Germany for the years 2018-2021. It was revealed that the largest share of grasslands with high mowing frequencies (at least four mowing events) can be found in southern/south-eastern Germany. Extensively used grassland (mown up to two times) is distributed within the entire country with larger shares in the center and north-eastern parts of Germany. These patterns stay constant in general, but small fluctuations between the years are visible. Early mown grasslands can be found in southern/south-eastern Germany – in line with high mowing frequency areas – but also in central-western parts. The years 2019 and 2020 revealed higher accuracies based on the 1475 mowing events of the multi-annual validation data set
(F1-Scores of 0.64 and 0.63), 2018 and 2021 lower ones (F1-Score of 0.52 and 0.50).
Based on this new, unprecedented data set, potential influencing factors on the mowing dynamics were investigated. Therefore, climate, topography, soil data and information on conservation schemes were related to mowing dynamics for the year 2020, which showed a high number of valid observations and detection accuracy. It was revealed that there are no strong linear relationships between the mowing frequency or the timing of the first mowing event and the investigated variables. However, it was found that for intensive grassland usage certain climatic and topographic conditions have to be fulfilled, while extensive grasslands appear on the entire spectrum of these variables. Further, higher mowing frequencies occur on soils with influence of ground water and lower mowing frequencies in protected areas. These results show the complex interplay between grassland mowing dynamics and external influences and highlight the challenges of policies aiming to protect grassland ecosystem functions and their need to be adapted to regional circumstances.
Effect of Tjap1 knock-down on blood-brain barrier properties under normal and hypoxic conditions
(2023)
Stroke is one of the leading causes of mortality and disability worldwide. The blood-brain barrier (BBB) plays an important role in maintaining brain homeostasis by tightly regulating the exchange of substances between circulating blood and brain parenchyma. BBB disruption is a common pathologic feature of stroke and traumatic brain injury. Understanding the cellular and molecular events that affect the BBB after ischaemic brain injury is important to improve patient prognosis.
We have previously shown that microRNA-212/132 is elevated in hypoxic brain microvascular endothelial cells and acts through suppressing the expression of direct microRNA-212/132 target genes with function at the BBB: claudin-1, junctional adhesion molecule 3 (Jam3) and tight-junction associated protein 1 (Tjap1). While the role of claudin-1 and Jam3 at the BBB is well known, the role of Tjap1 is still unclear. The aim of this work was therefore to characterize the role of Tjap1 in brain endothelial cells using a knock-down (KD) approach in established murine in vitro BBB models cEND and cerebEND. Tjap1 KD was established by stable transfection of a plasmid expressing shRNA against Tjap1. The successful downregulation of Tjap1 mRNA and protein was demonstrated by qPCR and Western blot. Tjap1 KD resulted in impaired barrier properties of endothelial cells as shown by lower TEER values and higher paracellular permeability. Interestingly, the Tjap1 KD cells showed lower cell viability and proliferation but migrated faster in a wound healing assay. In the tube formation assay, Tjap1 KD cell lines showed a lower angiogenic potential due to a significantly lower tube length and number as well as a lower amount of branching points in formed capillaries. Tjap1 KD cells showed changes in gene and protein expression. The TJ proteins claudin-5, Jam3 and ZO-1 were significantly increased in Tjap1 KD cell lines, while occludin was strongly decreased. In addition, efflux pump P-glycoprotein was downregulated in Tjap1 KD cells. Oxygen-glucose deprivation (OGD) is a method to mimic stroke in vitro. Brain endothelial cell lines treated with OGD showed lower barrier properties compared to cells cultured under normal condition. These effects were more severe in Tjap1 KD cells, indicating active Tjap1 involvement in the OGD response in brain microvascular endothelial cells.
We thus have shown that Tjap1 contributes to a tight barrier of the BBB, regulates cell viability and proliferation of endothelial cells, suppresses their migration and promotes new vessel formation. This means that Tjap1 function is important for mature BBB structure in health and disease.
The main objective of this study was to test whether subjects with different degrees of bruxism differ regarding EMG parameters and whether CES intervention affects those parameters. The hypothesis was that CES influences EMG parameters and after its’ cessation, all EMG parameters return to baseline (exposure–response relationship).
For this purpose, forty subjects were examined, 16 men and 24 women, matched for age and gender and assigned randomly in the intervention (N=20) and control group (N=20). The procedure was as follows: 1-week inactive GC (N=40), 2 weeks inactive/active GC (N=20/N=20), 2 weeks inactive GC (N=40). Each interval was followed by a surface EMG recording from eight muscle parts (right and left anterior -, medial -, and posterior masseter and right and left anterior temporalis) under force-controlled feedback (BiteFork®) with three submaximal bite forces. The resulting EMG activity is expressed as RMS % MVC and RMS at MVC. The statistics is performed with t-test, one-way rmANOVA, and Friedman rmANOVA on ranks, according to the distribution of the data. The significance level was set at p≤0.05.
The results generated from the within-groups and between-groups comparison were mostly not statistically significant and could therefore not offer clinically relevant conclu-sions.
However, it cannot be excluded that a higher submaximal bite force and an extended intervention interval would have rendered different outcomes. The insufficient study sample resulted in a low observed power which makes the findings prone to Type II er-ror. It can be concluded that this study did not find any substantiating differences be-tween the EMG values of participants with various bruxism activity and that CES could not influence the studied EMG parameters in the two weeks intervention time.
Our hypothesis which supposes that subjects with high and low bruxism activity differ in RMS % MVC could not be verified. However, with the gained knowledge, it is recom-mended to further elaborate a definite bruxism diagnosis by using portable EMG devices.
Respiratory infections are a significant health concern worldwide, and the airway epithelium plays a crucial role in regulating airway function and modulating inflammatory processes. However, most studies on respiratory infections have used cell lines or animal models, which may not accurately reflect native physiological conditions, especially regarding human pathogens. We generated human nasal mucosa (hNM) and tracheobronchial mucosa (hTM) models to address this issue using primary human airway epithelial cells and fibroblasts. We characterised these human airway tissue models (hAM) using high speed video microscopy, single cell RNA sequencing, immunofluorescence staining,
and ultrastructural analyses that revealed their complexity and cellular heterogeneity. We demonstrated that Bordetella pertussis virulence factor adenylate cyclase toxin (CyaA) elevated the intracellular production of cyclic adenosine monophosphate (cAMP) and secretion of interleukin (IL) 6, IL 8, and human beta defensin 2 (HBD2). In addition, we compared the responses of the tissue models from two different anatomical sites (the upper and lower respiratory mucosa) and are the first to report such differential susceptibility towards CyaA using 3D primary airway cell derivedmodels. The effect of toxin treatment on the epithelial barrier integrity of the tissue models was assessed by measuring the flux of fluorescein isothiocyanate (FITC)-conjugated dextran across the models. Though we observed a cell type specific response with respect to intracellular cAMP production and IL 6, IL 8, and HBD2 secretion in the models treated with CyaA on the apical side, the epithelial membrane barrier integrity was not compromised. In addition to toxin studies, using these characterised models, we established viral infection studies for Influenza A (IAV), Respiratory Syncytial Virus subtype B (RSV), and severe acute respiratory syndrome coronavirus 2. We visualised the morphological consequences of the viral infection using ultrastructural analysis
and immunofluorescence. We verified the effective infection in hAM by measuring the viral RNA using RTqPCR and detected elevated cytokine levels in response to infection using biochemical assays. In contrast to cell lines, studies on viral infection using hAM demonstrated that infected areas were localized to specific regions. This led to the formation of infection hotspots, which were more likely to occur when models derived from different donors were infected separately with all three viruses. IAV infected tissue models replicate the clinical findings of H1N1 infection, such as mucus
hypersecretion, cytokine release, and infection-associated epithelial cell damage.Finally, we paved the steps towards understanding the impact of IAV infection on disease models. We generated hTM from biopsies obtained from chronic obstructive pulmonary disease (COPD) patients. As a model to study the impact of COPD on respiratory infections, considering the increase in COPD cases in the past decade and the continued predicted increase in the future. We established the IAV infection
protocol to capture the early infection signatures in non-COPD and COPD conditions using scRNA-seq. We investigated the infection kinetics of IAV (H1N1-clinical isolate) in hTM and found that viruses were actively released approximately 24 hours post infection. The scRNA-seq data from the hTM derived from non-COPD and COPD patients, revealed lower levels of SCGB1A1 (club cell marker) gene expression in the COPD-control group compared to the non-COPD control group, consistent with previous clinical studies. Furthermore, we observed that IAV infection elevated SCGB1A1 gene expression especially in secretory cells of both the COPD and non COPD groups. This may imply the role of club cells as early responders during IAV infection providing epithelial repair, regeneration, and resistance to spread of infection. This is the first study to address the molecular diversity in COPD and non-COPD disease models infected with IAV investigating the early response (6 h) of specific cell types in the human lower airways towards infection using scRNA-seq. These findings
highlight the potential interplay between COPD, IAV infection, and altered vulnerability to other viral infections and respiratory illnesses making the hAM applicable for addressing more specific research questions and validating potential targets, such as SCGB1A1 targeted therapy for chronic lung diseases. Our findings demonstrate the potential of the hNM and hTM for investigating respiratory infections, innate immune responses, and trained immunity in non-immune cells. Our experiments show that hAM may represent a more accurate representation of the native physiological condition and improve our understanding of the disease mechanisms. Furthermore, these models promote non-animal research as they replicate clinical findings. We can further increase their complexity by incorporating dynamic flow systems and immune cells catered to the research question.
Two-dimensional (2D) topological insulators are a new class of materials with properties that are
promising for potential future applications in quantum computers. For example, stanene represents
a possible candidate for a topological insulator made of Sn atoms arranged in a hexagonal
lattice. However, it has a relatively fragile low-energy spectrum and sensitive topology. Therefore,
to experimentally realize stanene in the topologically non-trivial phase, a suitable substrate
that accommodates stanene without compromising these topological properties must be found.
A heterostructure consisting of a SiC substrate with a buffer layer of adsorbed group-III elements
constitutes a possible solution for this problem. In this work, 2D adatom systems of Al and In
were grown epitaxially on SiC(0001) and then investigated structurally and spectroscopically by
scanning tunneling microscopy (STM) and photoelectron spectroscopy.
Al films in the high coverage regime \( (\Theta_{ML}\approx2\) ML\( ) \) exhibit unusually large, triangular- and
rectangular-shaped surface unit cells. Here, the low-energy electron diffraction (LEED)
pattern is brought into accordance with the surface topography derived from STM. Another Al
reconstruction, the quasi-one-dimensional (1D) Al phase, exhibits a striped surface corrugation,
which could be the result of the strain imprinted by the overlayer-substrate lattice mismatch.
It is suggested that Al atoms in different surface areas can occupy hexagonal close-packed and
face-centered cubic lattice sites, respectively, which in turn lead to close-packed transition regions
forming the stripe-like corrugations. On the basis of the well-known herringbone reconstruction
from Au(111), a first structural model is proposed, which fits well to the structural data from
STM. Ultimately, however, thermal treatments of the sample could not generate lower coverage
phases, i.e. in particular, a buffer layer structure.
Strong metallic signatures are found for In high coverage films \( (\Theta_{ML}\approx3\) to \(2\) ML\() \) by
scanning tunneling spectroscopy (STS) and angle-resolved photoelectron spectroscopy (ARPES),
which form a \( (7\times7) \), \( (6\times4\sqrt{3}) \), and \( (4\sqrt{3}\times4\sqrt{3}) \) surface reconstruction. In all these In phases
electrons follow the nearly-free electron model. Similar to the Al films, thermal treatments could
not obtain the buffer layer system.
Surprisingly, in the course of this investigation a triangular In lattice featuring a \( (1\times1) \)
periodicity is observed to host massive Dirac-like bands at \( K/K^{\prime} \) in ARPES. Based on this
strong electronic similarity with graphene at the Brillouin zone boundary, this new structure is
referred to as \textit{indenene}. An extensive theoretical analysis uncovers the emergence of an electronic
honeycomb network based on triangularly arranged In \textit{p} orbitals. Due to strong atomic spin-orbit
coupling and a comparably small substrate-induced in-plane inversion symmetry breaking this
material system is rendered topologically non-trivial. In indenene, the topology is intimately
linked to a bulk observable, i.e., the energy-dependent charge accumulation sequence within the
surface unit cell, which is experimentally exploited in STS to confirm the non-trivial topological
character. The band gap at \( K/K^{\prime} \), a signature of massive Dirac fermions, is estimated by
ARPES to approximately 125 meV. Further investigations by X-ray standing wave, STM, and
LEED confirm the structural properties of indenene. Thus, this thesis presents the growth and
characterization of the novel quantum spin Hall insulator material indenene.
Platelets play an important role in the body, since they are part of the hemostasis
system, preventing and stopping blood loss. Nevertheless, when platelet or
coagulation system function are impaired, uncontrolled bleedings but also irreversible
vessel occlusion followed by ischemic tissue damage can occur. Therefore,
understanding platelet function and activation, mechanisms which are controlled by a
variety of platelet membrane receptors and other factors is important to advance out
knowledge of hemostasis and platelet malfunction. For a complete picture of platelet
function and their modulating behavior it is desired to be able to quantify receptor
distributions and interactions of these densely packed molecular ensembles in the
membrane. This challenges scientists for several reasons. Most importantly, platelets
are microscopically small objects, challenging the spatial resolution of conventional
light microscopy. Moreover, platelet receptors are highly abundant on the membrane
so even super-resolution microscopy struggles with quantitative receptor imaging on
platelets.
With Expansion microscopy (ExM), a new super-resolution technique was introduced,
allowing resolutions to achieve super-resolution without using a super-resolution
microscope, but by combining a conventional confocal microscopy with a highly
processed sample that has been expanded physically. In this doctoral thesis, I
evaluated the potential of this technique for super-resolution platelet imaging by
optimizing the sample preparation process and establishing an imaging and image
processing pipeline for dual-color 3D images of different membrane receptors. The
analysis of receptor colocalization using ExM demonstrated a clear superiority
compared to conventional microscopy. Furthermore, I identified a library of
fluorescently labeled antibodies against different platelet receptors compatible with
ExM and showed the possibility of staining membrane receptors and parts of the
cytoskeleton at the same time.
Onchocerciasis, the world's second-leading infectious cause of blindness in humans
–prevalent in Sub-Saharan Africa – is caused by Onchocerca volvulus (O. volvulus), an
obligatory human parasitic filarial worm. Commonly known as river blindness,
onchocerciasis is being targeted for elimination through ivermectin-based mass
drug administration programs. However, ivermectin does not kill adult parasites,
which can live and reproduce for more than 15 years within the human host. These
impediments heighten the need for a deeper understanding of parasite biology and
parasite-human host interactions, coupled with research into the development of
new tools – macrofilaricidal drugs, diagnostics, and vaccines. Humans are the only
definitive host for O. volvulus. Hence, no small-animal models exist for propagating
the full life cycle of O. volvulus, so the adult parasites must be obtained surgically
from subcutaneous nodules. A two-dimensional (2D) culture system allows that
O. volvulus larvae develop from the vector-derived infective stage larvae (L3) in vitro
to the early pre-adult L5 stages. As problematic, the in vitro development of
O. volvulus to adult worms has so far proved infeasible. We hypothesized that an
increased biological complexity of a three-dimensional (3D) culture system will
support the development of O. volvulus larvae in vitro. Thus, we aimed to translate
crucial factors of the in vivo environment of the developing worms into a culture
system based on human skin. The proposed tissue model should contain 1. skinspecific
extracellular matrix, 2. skin-specific cells, and 3. enable a direct contact of
larvae and tissue components. For the achievement, a novel adipose tissue model
was developed and integrated to a multilayered skin tissue comprised of epidermis,
dermis and subcutis. Challenges of the direct culture within a 3D tissue model
hindered the application of the three-layered skin tissue. However, the indirect coculture
of larvae and skin models supported the growth of fourth stage (L4) larvae in
vitro. The direct culture of L4 and adipose tissue strongly improved the larvae
survival. Furthermore, the results revealed important cues that might represent the
initial encapsulation of the developing worm within nodular tissue. These results
demonstrate that tissue engineered 3D tissues represent an appropriate in vitro
environment for the maintenance and examination of O. volvulus larvae.
While the healthy brain works through balanced synaptic communication between
glutamatergic and GABAergic neurons to coordinate excitation (E) and inhibition (I), disruption
of E/I balance interferes with synaptic communication, information processing, and ultimately
cognition. Multiple line of evidence indicates that E/I imbalance represents the
pathophysiological basis of a wide spectrum of mental disorders. Genetic screening
approaches have identified Cadherin-13 (CDH13). as a risk gene across neurodevelopmental
and mental disorders. CDH13 regulates several cellular and synaptic processes in brain
development and neuronal plasticity in adulthood. In addition to other functions, it is specifically
localized at inhibitory synapses of parvalbumin- and somatostatin-expressing GABAergic
neurons. In support of CDH13’s function in moderating E/I balance, electrophysiological
recordings of hippocampal slices in a CDH13-deficient mouse model revealed an increase in
basal inhibitory but not excitatory synaptic transmission. Moreover, the search for genetic
variants impacting functional expression of the CDH13 gene identified SNP (single nucleotide
polymorphism)) rs2199430 in intron 1 to be associated with differential mRNA concentrations
in human post-mortem brain across the three genotypes CDH13G/G, CDH13A/G and CDH13A/A
.
This work therefore aimed to further validate these findings in a complementary human model
by using induced pluripotent stem cells (iPSCs). The application of human iPSCs in research
has replaced the use of embryonic cells, resolving the ethical conflict of destructive usage of
human embryos. Investigating CDH13’s mode of action in inhibitory synapses was predicted
to facilitate mechanistic insight into the effects of CDH13 gene variants on E/I network activity,
which can then be targeted to reinstate balance.
Genome-wide association studies have identified rare copy number variants (CNVs) resulting
in a deletion (or duplication) of CDH13. To reduce genetic background variance, a set of
isogenic iPSC lines with a gene dose-dependent deficiency of CDH13 (CDH13-/- and CDH13+/-
) was generated by using the Clustered Regulatory Interspaced Short Palindromic
Repeats/CRISPR-associated protein 9 (CRISPR/Cas9) system. These CRISPRed iPSCs
carrying a single or two allele(s) with CDH13 inactivation facilitate investigation of CDH13
function in cellular processes, at inhibitory synapses and in neuronal network activity. In
addition, iPSCs carrying allelic SNP rs2199430 variants were used to study the effects of
common genetic variation of CDH13. These cell lines were differentiated into pure
glutamatergic and GABAergic neurons and co-cultured to generate neuronal networks allowing
its activity to be measured and correlated with electrophysiological signatures of differential
CDH13 genotypes. The work towards assessment of neuronal network activity of the iPSC
lines was subdivided into three major steps: first, generating rtTA/Ngn2 and rtTA/Ascl1-positive
iPSCs via a lentivirus-mediated approach; second, differentiating pure glutamatergic and
GABAergic neurons from the genetically transduced iPSCs and co-culturing of pure
glutamatergic and GABAergic neurons in a pre-established ratio (65:35) by direct
differentiation upon supplementation with doxycycline and forskolin on a microelectrode array
(MEA) chip; and, finally, recording of neuronal network activity of iPSC lines after 49 days in
vitro, followed by extraction and analyses of multiple MEA parameters.
x
Based on the MEA parameters, it was confirmed that complete CDH13 knockout as well as
heterozygous deficiency influence E/I balance by increasing inhibition. It was further revealed
that common SNP variation alters the signature of neuronal network activity. Specifically,
CDH13 deficiency resulted in a significant reduction in network burst duration (NBD), reduced
number of detected spikes within a network burst and reduction in network burst rate (NBR)
compared to the control (CDH13G/G). CDH13A/G and CDH13A/A showed similarities with the
CRISPRed CDH13-deficient networks by showing a significant reduction in the NBD and a
reduced number of detected spikes within a network compared to CDH13G/G. Strikingly. there
was a significant increase in the NBR of the CDH13A/G and CDH13A/A compared to CDH13G/G
networks. CDH13A/G networks exhibited significant differences in both parameters. At the
cellular level, this indicates that signalling pathways which determine the length and frequency
of network bursts differ among allelic variants of SNP rs2199430, thus confirming functional
relevance of this intronic SNP.
In summary, CDH13-deficient isogenic iPSC lines were generated using CRISPR/Cas9, iPSCs
were genetically transduced via a lentivirus approach, direct differentiation of
glutamatergic/GABAergic neurons derived from transduced iPSCs were used to establish a
scalable co-culture system, and network activity was recorded by MEA using pre-established
parameters to extract and analyze activity information. The results indicate that iPSC-derived
neuronal networks following CRISPR/Cas9-facilitated CDH13 inactivation, as well as networks
with allelic SNP variants of CDH13, moderate E/I balance, thus advancing understanding of
CDH13 function at inhibitory synapses and elucidating the effects of rare and common CDH13
gene variation.
This thesis identifies how the printing conditions for a high-resolution additive manufacturing technique, melt electrowriting (MEW), needs to be adjusted to process electroactive polymers (EAPs) into microfibers. Using EAPs based on poly(vinylidene difluoride) (PVDF), their ability to be MEW-processed is studied and expands the list of processable materials for this technology.
Platelets are anucleated cell fragments derived from megakaryocytes. They play a fundamental role in hemostasis, but there is rising evidence that they are also involved in immunological processes. Despite absence of a nucleus, human platelets are capable of de novo protein synthesis and contain a fully functional proteasome system, which is, in nucleated cells, involved in processes like cell cycle progression or apoptosis by its ability of protein degradation. The physiological significance of the proteasome system in human platelets is not yet fully understood and subject of ongoing research.
Therefore, this study was conducted with the intention to outline the role of the proteasome system for functional characteristics of human platelets. For experimentation, citrated whole blood from healthy donors was obtained and preincubated with proteasome inhibitors. In addition to the commonly used bortezomib, the potent and selective proteasome inhibitor carfilzomib was selected as a second inhibitor to rule out agent-specific effects and to confirm that observed changes are related to proteasome inhibition.
Irreversibly induced platelet activation and aggregation were not affected by proteasome blockade with bortezomib up to 24 hours. Conversely, proteasome inhibition led to enhanced threshold aggregation and agglutination up to 25 %, accompanied by partial alleviation of induced VASP phosphorylation of approximately 10-15 %. Expression of different receptors were almost unaffected. Instead, a significant increase of PP2A activity was observable in platelets after proteasome blockade, accompanied by facilitated platelet adhesion to coated surfaces in static experiments or flow chamber experiments.
Carfilzomib, used for the first time in functional experimentation with human platelets in vitro, led to a dose-dependent decrease of proteasome activity with accumulation of poly ubiquitylated proteins. Like bortezomib, carfilzomib treatment resulted in enhanced threshold aggregation with attenuated VASP phosphorylation.
As the main conclusion of this thesis, proteasome inhibition enhances the responsiveness of human platelets, provided by an alleviation of platelet inhibitory pathways and by an additional increase of PP2A activity, resulting in facilitated platelet adhesion under static and flow conditions. The proteasome system appears to be involved in the promotion of inhibitory counterregulation in platelets. The potential of proteasome inhibitors for triggering thromboembolic adverse events in patients must be clarified in further studies, in addition to their possible use for targeting platelet function to improve the hemostatic reactivity of platelets.
In this thesis, intermolecular acceptor-acceptor interactions in organic solar cells based on new non-fullerene acceptors are addressed. For this purpose, first the reproducibility of organic electronic devices was tested on a new facility for their fabrication. This was followed by the screening for new acceptor materials. Based on this, three molecular systems were investigated with regard to their acceptor-acceptor interactions and their influence on solar cell efficiency.
Facing Enemies. Modulation of Revenge Interactions based on Opponent State Indicators of Suffering
(2023)
Research on revenge often treats vengeful acts as singular one-way experiences, an approach which fails to account for the social nature and functions of revenge. This dissertation aims to integrate emotional punishment reactions into dynamic revenge sequences to investigate the affective and cognitive consequences of revenge within a social interaction.
Exacting revenge can evoke intense affective consequences, from feelings of guilt to the genuine enjoyment of the suffering of others. In Chapter 2, affective responses towards suffering opponents and the regulation of aggression based on the appraisal of distinct suffering indicators were investigated. Results indicate that the observation of opponent pain evokes positive affect (measured via facial muscle contractions during the observation), which is followed by a downregulation of subsequent punishment. Both, positive affective reactions and the downregulation of punishment, were only observed following pain and not sadness expressions. Empathic distress, indexed by negative affective reactions, was only present following the observation of pain in non-provoking opponents. Showcasing the modulation of empathy related processes due to provocation and competition.
In Chapter 3, a significant escalation of punishment, when being confronted with Schadenfreude, was observed. Results are interpreted as supporting the assumption that opponent monitoring processes inform subsequent action selection. The observation of opponent smiles led to imitation behavior (facial mimicry), which was partially attenuated due to previous provocation. The different functions of smile mimicry in the context of the aggressive competitive setting are discussed as containing simulation aspects (to aid in opponent understanding) and as a potential mirroring of dominance gestures, to avoid submission.
In an additional series of studies, which are presented in Chapter 4, changes in memory of opponent faces following vengeful encounters were measured. Based on provocation, and punishment outcomes (pain & anger), face memory was distorted, resulting in more positive representations of opponents that expressed pain. These results are discussed as evidence of the impact of outcome appraisals in the formation of opponent representations and are theorized to aid empathy avoidance in future interactions.
The comparison of desired and observed opponent states, is theorized to result in appraisals of the punishment outcomes, which evoke affective states, inform the action selection of subsequent punishments, and are integrated into the representation of the opponent in memory.
Overall, the results indicate that suffering cues that are congruent with the chosen punishment action are appraised as positive, evoking an increase in positive affect. The emergence of positive affect during the observation of successful aggressive actions supports recent theories about the chronification of aggressive behavior based on reinforcement learning. To allow positive affect to emerge, affective empathic responses, such as distress, are theorized to be suppressed to facilitate the goal attainment process. The suffering of the opponent constitutes the proximate goal during revenge taking, which highlights the importance of a theoretical differentiation of proximate and ultimate goals in revenge to allow for a deeper understanding of the underlying motives of complex revenge behavior.
Fear and anxiety disorders – interaction of AVP and OXT brain systems with the serotonergic system
(2023)
Anxiety disorders pose a great burden onto society and economy and can have devastating consequences for affected individuals. Treatment options are still limited to psychopharmacotherapy originally developed for the treatment of depression and behavioral therapy. A combination of genetic traits together with aversive events is most likely the cause of these diseases. Gene x environment studies are trying to find a link between genetic traits and specific negative circumstances. In a first study, we focused on social anxiety disorder (SAD), which is the second most-common anxiety disorder after specific phobias. We used a social fear conditioning (SFC) paradigm, which is able to mimic the disease in a mouse model. We wanted to investigate protein levels, as well as mRNA expression of immediate early genes (IEGs), to determine brain areas affected by the paradigm. We also included genes of the vasopressin (AVP)-, oxytocin (OXT)-, neuropeptide Y (NPY)-, and the serotonin system, to investigate the effects of SFC on neurotransmitter gene expression levels in brain regions related to social as well as fear-related behavior. AVP and OXT regulate a lot of different social and anxiety-related behaviors, both positive and negative. Finding a link between different neurotransmitter systems in the development of anxiety disorders could help to identify potential targets for new treatment approaches, which are desperately needed, because the rate of patients not responding to available treatment is very high.
We were able to show altered gene expression of the IEGs cFos and Fosl2, as well as a change in number and density of cFOS-positive cells in the dorsal hippocampus, indicating an influence of SFC on neuronal activity. Our results reveal a possible involvement of anterior dentate gyrus (DG), as well as cornu ammonis area 1 (CA1) and CA3 in the dorsal hippocampus during the expression of social fear. Contrary to our hypothesis, we were not able to see changes in neuronal activity through expression changes of IEGs in the amygdala. Significant higher IEG immunoreactivity and gene expression in the dorsal hippocampus of animals without fear conditioning (SFC-), compared to animals with fear conditioning (SFC+), indicate an involvement of different hippocampal regions in two possible scenarios. Either as elevated gene expression in SFC- animals compared to SFC+ animals or as reduction in SFC+ animals compared to SFC- animals. However, this question cannot be answered without an additional control of basal IEG-activity without social interaction. The NPY system in general and the neuropeptide y receptor type 2 in particular seem to be involved in regulating the response to social fear, mostly through the septum region. In addition to that, a possible role for the induction of social fear response could be identified in the serotonergic system and especially the serotonin receptor 2a of the PVN.
In a second study we focused on changes in the serotonergic system. A polymorphism in the human serotonin transporter (5-HTT) gene is associated with higher risks for the development of anxiety disorders. This makes the 5-HTT a widely used target to study possible causes and the development of anxiety disorders. In mice, a genetically induced knockout of the 5-Htt gene is associated with increased anxiety-like behavior. High amounts of stress during pregnancy, also known as prenatal stress, significantly increase the risk to develop psychiatric disorders for the unborn child. We utilized a prenatal stress paradigm in mice heterozygous for the 5-Htt gene. Some of the animals which had been subjected to prenatal stress showed noticeably “unsocial” interaction behavior towards conspecifics. Again, we were searching for links between the serotonergic system and AVP- and OXT systems. Through quantitative gene expression analysis, we were able to show that both AVP and OXT neuromodulator systems are affected through prenatal stress in female mice, but not in male mice. The 5-Htt genotype seems to be only slightly influential to AVP, OXT or any other neurotransmitter system investigated. Gene expression of AVP and OXT brain systems is highly influenced through the estrous cycle stages of female mice. Additionally, we analyzed the AVP and OXT neuropeptide levels of mice with different 5-Htt genotypes and in both sexes, in order to see whether the production of AVP and OXT is influenced by 5-Htt genotype. On neuropeptide level, we were able to identify a sex difference for vasopressin-immunoreactive (ir) cells in the PVN, with male mice harboring significantly more positive cells than female mice.
Emotional-associative learning processes such as fear conditioning and extinction are highly relevant to not only the development and maintenance of anxiety disorders (ADs), but also to their treatment. Extinction, as the laboratory analogue to behavioral exposure, is assumed a core process underlying the treatment of ADs. Although exposure-based treatments are highly effective for the average patient suffering from an AD, there remains a gap in treatment efficacy with over one third of patients failing to achieve clinically significant symptom relief. There is ergo a pressing need for intensified research regarding the underlying neural mechanisms of aberrant emotional-associative learning processes and the neurobiological moderators of treatment (non-)response in ADs.
The current thesis focuses on different applications of the fundamental principles of fear conditioning and extinction by using two example cases of ADs from two different multicenter trials. First, we targeted alterations in fear acquisition, extinction, and its recall as a function of psychopathology in panic disorder (PD) patients compared to healthy subjects using fMRI. Second, exposure-based therapy and pre-treatment patient characteristics exerting a moderating influence on this essential learning process later on (i.e. treatment outcome) were examined using multimodal functional and structural neuroimaging in spider phobia.
We observed aberrations in emotional-associative learning processes in PD patients compared to healthy subjects indicated by an accelerated fear acquisition and an attenuated extinction recall. Furthermore, pre-treatment differences related to defensive, regulatory, attentional, and perceptual processes may exert a moderating influence on treatment outcome to behavioral exposure in spider phobia. Although the current results need further replication, on an integrative meta level, results point to a hyperactive defensive network system and deficient emotion regulation processes (including extinction processes) and top-down control in ADs. This speaks in favor of transdiagnostic deficits in important functional domains in ADs.
Deficits in transdiagnostic domains such as emotion regulation processes could be targeted by enhancing extinction learning or by means of promising tools like neurofeedback. The detection of pre-treatment clinical response moderators, for instance via machine learning frameworks, may help in supporting clinical decision making on individually tailored treatment approaches or, respectively, to avoid ineffective treatment and its related financial costs. In the long run, the identification of neurobiological markers which are capable of detecting non-responders a priori represents an ultimate goal.
Social contact is an integral part of daily life. Its health-enhancing effects include reduced negative affective experiences of fear and anxiety, a phenomenon called social buffering. This dissertation studied different forms of social contact and their anxiety-buffering effects with diverse methodologies.
The laboratory-based first study investigated minimal social contact in the context of pain relief learning. Results showed that the observed decreased autonomic and increased subjective fear responses following pain relief learning were independent of social influence. The minimalistic and controlled social setting may have prevented social buffering. Study 2 targeted social buffering in daily life using Ecological Momentary Assessment. We repeatedly assessed individuals’ state anxiety, related cardiovascular responses, and aspects of social interactions with smartphones and portable sensors on five days. Analyses of over 1,500 social contacts revealed gender-specific effects, e.g., heart rate-reducing effects of familiarity in women, but not men. Study 3 examined anxiety, loneliness, and related social factors in the absence of social contact due to social distancing. We constructed and validated a scale measuring state and trait loneliness and isolation, and analysed its link to mental health. Results include a social buffering-like relation of lower anxiety with more trait sociability and sense of belonging.
In sum, the studies showed no fear reduction by minimal social contact, but buffering effects relating to social and personal factors in more complex social situations. Anxiety responses during daily social contacts were lower with more familiar or opposite-gender interaction partners. During limited social contact, lower anxiety related to inter-individual differences in sociability, social belonging, and loneliness. By taking research from lab to life, this dissertation underlined the diverse nature of social contact and its relevance to mental health.
Despite accounting for only a small proportion of all skin cancers, malignant melanoma
displays a serious health risk with increasing incidence and high mortality rate. Fortunately,
advances in the treatment of malignant melanoma now prolong survival and enhance response
and treatment efficacy. Established biomarkers help evaluate disease progression and
facilitate choosing appropriate and individual treatment options. However, the need for easily
accessible and reliable biomarkers is rising to predict patient-specific clinical outcome.
Eosinophil infiltration into the tumor and high peripheral eosinophil counts prior and during
treatment have been associated with better response in patients for various cancer entities,
including melanoma. An analysis of a heterogeneous study cohort reported high serum ECP
levels in non-responders. Hence, eosinophil frequency and serum ECP as a soluble
eosinophil-secreted mediator were suggested as prognostic biomarkers in melanoma. We
examined whether melanoma patients treated with first-line targeted therapy could also benefit
from the effects of eosinophils. In total, 243 blood and serum samples from patients with
advanced melanoma were prospectively and retrospectively collected before and after drug
initiation. To link eosinophil function to improved clinical outcome, soluble serum markers and
peripheral blood counts were used for correlative studies using a homogeneous study cohort.
In addition, functional and phenotypical characterizations provided insights into the expression
profile and activity of freshly isolated eosinophils, including comparisons between patients and
healthy donors.
Our data showed a significant correlation between high pre-treatment blood eosinophil counts
and improved response to targeted therapy and by trend to combinatorial immunotherapy in
patients with metastatic melanoma. In accordance with previous studies our results links
eosinophil blood counts to better response in melanoma patients. High pre-treatment ECP
serum concentration correlated with response to immunotherapy but not to targeted therapy.
Eosinophils from healthy donors and patients showed functional and phenotypical similarities.
Functional assays revealed a strong cytotoxic potential of blood eosinophils towards
melanoma cells in vitro, inducing apoptosis and necrosis. In addition, in vitro cytotoxicity was
an active process of peripheral eosinophils and melanoma cells with bidirectional features and
required close cell-cell interaction. The extent of cytotoxicity was dose-dependent and showed
susceptibility to changes in physical factors like adherence. Importantly, we provide evidence
of an additive tumoricidal function of eosinophils and combinatorial targeted therapy in vitro. In
summary, we give valuable insights into the complex and treatment-dependent role of
eosinophils in melanoma. As a result, our data support the suggestion of eosinophils and their
secreted mediators as potential prognostic biomarkers. It will take additional studies to
examine the molecular mechanisms that underlie our findings.
Short functional peptidic probes can maximize the potential of high-end microscopy techniques and multiplex imaging assays and provide new insights into normal and aberrant molecular, cellular and tissue function. Particularly, the visualization of inhibitory synapses requires protocol tailoring for different sample types and imaging techniques and relies either on genetic manipulation or on antibodies that underperform in tissue immunofluorescence. Starting from an endogenous activity-related ligand of gephyrin, a universal marker of the inhibitory post-synapse, I developed a short peptidic multivalent binder with exceptional affinity and selectivity to gephyrin. By tailoring fluorophores to the binder, I have obtained Sylite, a probe for the visualization of inhibitory synapses, with an outstanding signal-to-background ratio, that bests the “gold standard” gephyrin antibodies both in selectivity and in tissue immunofluorescence. In tissue Sylite benefits from simplified handling, provides robust synaptic labeling in record-short time and, unlike antibodies, is not affected by staining artefacts. In super-resolution microscopy Sylite precisely localizes the post-synapse and enables accurate pre- to post-synapse measurements. Combined with complimentary tracing techniques Sylite reveals inhibitory connectivity and profiles inhibitory inputs and synapse sizes of excitatory and inhibitory neurons in the periaqueductal gray brain region. Lastly, upon probe optimization for live cell application and with the help of novel thiol-reactive cell penetrating peptide I have visualized inhibitory synapses in living neurons. Taken together, my work provided a versatile probe for conventional and super-resolution microscopy and a workflow for the development and application of similar compact functional synthetic probes.
The aim of this study was to determine the potential of some Ghanaian underutilized legumes in helping to reduce the problems of poverty, hunger and malnutrition among the vulnerable group of the Ghanaian population. The study looked into the functional properties, fat and fatty acid distribution, raffinose, sucrose, glucose, fructose, calcium, magnesium, sodium, potassium, iron, copper, manganese, zinc, cyanide and isoflavone contents of raw and processed seed flours of Cajanus cajan, Canavalia ensiformis, Canavalia gladiata, Mucuna pruriens, Parkia biglobosa, Phaseolus lunatus and Vigna subterranea. The parameters mentioned above were also determined for raw fruit flour of Dialium guineense. In addition to these, the study also looked into the crude protein and starch contents of the raw and processed seed flours of Canavalia gladiata, Parkia biglobosa and Vigna subterranea. The obtained results suggest that the legumes may have untapped potential, which may be exploited to help assist in reducing hunger, malnutrition and poverty in Ghana. Results of the functional properties reveal that the legumes may serve useful roles in various food products. For instance, velvet tamarind (Dialium guineense) flour may be useful in infant food formulations because of it high solubility and low bulk density. African Locust bean (Parkia biglobosa) flour had the highest fat content among the studied flours, recording a fat content of approximately 14%. It may therefore be economical to express the oil and use the oil as an edible oil or for industrial applications for products such as soaps, shampoos, paints, etc. This means the properties of the oil of African Locust bean flour need to be studied to know the uses of the oil. Unsaturated fatty acids in the cis configuration formed more than 50% of the fatty acids in all the legumes. This observation coupled with the low sodium content of all the legumes suggest that these legumes may be suitable for consumption to prevent cardiovascular diseases. The daily nutrient needs of individuals can be met by the consumption of the appropriate amounts of these legumes. For example, 375.25 g of processed velvet beans (Mucuna pruriens) flour may be able to meet the adequate intake (AI) of 350 mg/day magnesium for adult males.
The light-gated cation channel Channelrhodopsin-2 was discovered and characterized in 2003. Already in 2005/2006 five independent groups demonstrated that heterologous expression of Channelrhodopsin-2 is a highly useful and simply applicable method for depolarizing and thereby activating nerve cells. The application of Channelrhodopsin-2 revolutionized neuroscience research and the method was then called optogenetics. In recent years more and more light-sensitive proteins were successfully introduced as “optogenetic tools”, not only in neuroscience. Optogenetic tools for neuronal excitation are well developed with many different cation-conducting wildtype and mutated channelrhodopsins, whereas for inhibition of neurons in the beginning (2007) only hyperpolarizing ion pumps were available. The later discovered light-activated anion channels (anion channelrhodopsins) can be useful hyperpolarizers, but only at low cytoplasmic anion concentration. For this thesis, I optimized CsR, a proton-pumping rhodopsin from Coccomyxa subellipsoidea, which naturally shows a robust expression in Xenopus laevis oocytes and plant leaves. I improved the expression and therefore the photocurrent of CsR about two-fold by N-terminal modification to the improved version CsR2.0, without altering the proton pump function and the action spectrum. A light pulse hyperpolarised the mesophyll cells of CsR2.0-expressing transgenic tobacco plants (N. tabacum) by up to 20 mV from the resting membrane potential of -150 to -200 mV. The robust heterologous expression makes CsR2.0 a promising optogenetic tool for hyperpolarization in other organisms as well. A single R83H point-mutation converted CsR2.0 into a light-activated (passive) proton channel with a reversal potential close to the Nernst potential for intra-/extra-cellular H+ concentration. This light-gated proton channel is expected to become a further useful optogenetic tool, e.g. for analysis of pH-regulation in cells or the intercellular space. Ion pumps as optogenetic tools require high expression levels and high light intensity for efficient pump currents, whereas long-term illumination may cause unwanted heating effects. Although anion channelrhodopsins are effective hyperpolarizing tools in some cases, their effect on neuronal activity is dependent on the cytoplasmic chloride concentration which can vary among neurons. In nerve cells, increased conductance for potassium terminates the action potential and K+ conductance underlies the resting membrane potential in excitable cells. Therefore, several groups attempted to synthesize artificial light-gated potassium channels but 2 all of these published innovations showed serious drawbacks, ranging from poor expression over lacking reversibility to poor temporal precision. A highly potassium selective light-sensitive silencer of action potentials is needed. To achieve this, I engineered a light-activated potassium channel by the genetic fusion of a photoactivated adenylyl cyclase, bPAC, and a cAMP-gated potassium channel, SthK. Illumination activates bPAC to produce cAMP and the elevated cAMP level opens SthK. The slow diffusion and degradation of cAMP makes this construct a very light-sensitive, long-lasting inhibitor. I have successfully developed four variants with EC50 to cAMP ranging from 7 over 10, 21, to 29 μM. Together with the original fusion construct (EC50 to cAMP is 3 μm), there are five different light- (or cAMP-) sensitive potassium channels for researchersto choose, depending on their cell type and light intensity needs.
Cellular growth and proliferation are among the most important processes for cells and
organisms. One of the major determinants of these processes is the amount of proteins
and consequently also the amount of ribosomes. Their synthesis involves several hundred
proteins and four different ribosomal RNA species, is highly coordinated and very
energy-demanding. However, the molecular mechanims of transcriptional regulation of
the protein-coding genes involved, is only poorly understood in mammals.
In this thesis, unbiased genome-wide knockout reporter screens were performed, aiming
to identify previously unknown transcriptional regulators of ribosome biogenesis
factors (RiBis), which are important for the assembly and maturation of ribosomes,
and ribosomal proteins (RPs), which are ribosomal components themself. With that
approach and follow-up (validation) experiments, ALDOA and RBM8A among others,
could be identified as regulators of ribosome biogenesis.
Depletion of the glycolytic enzyme ALDOA led to a downregulation of RiBi- and RPpromoter
driven reporters on protein and transcript level, as well as to a downregulation
of ribosome biogenesis gene transcripts and of mRNAs of other genes important for
proliferation.
Reducing the amount of the exon junction complex protein RBM8A, led to a more prominent
downregulation of one of the fluorescent reporters, but this regulation was independent
of the promoter driving the expression of the reporter. However, acute protein
depletion experiments in combination with nascent RNA sequencing (4sU-Seq)
revealed, that mainly cytosolic ribosomal proteins (CRPs) were downregulated upon
acute RBM8A withdrawal. ChIP experiments showed RBM8A binding to promoters of
RP genes, but also to other chromatin regions. Total POL II or elongating and initiating
POL II levels were not altered upon acute RBM8A depletion.
These data provide a starting point for further research on the mechanisms of transcriptional
regulation of RP and RiBi genes in mammals.
Coxiella burnetii, a Gram negative obligate intracellular bacterium, is the causative
agent of Q fever. It has a world wide distribution and has been documented to
be capable of causing infections in several domestic animals, livestock species,
and human beings. Outbreaks of Q fever are still being observed in livestock
across animal farms in Europe, and primary transmission to humans still oc-
curs especially in animal handlers. Public health authorities in some countries
like Germany are required by law to report human acute cases denoting the
significance of the challenge posed by C. burnetii to public health.
In this thesis, I have developed a platform alongside methods to address the
challenges of genomic analyses of C. burnetii for typing purposes. Identification
of C. burnetii isolates is an important task in the laboratory as well as in the
clinics and genotyping is a reliable method to identify and characterize known
and novel isolates. Therefore, I designed and implemented several methods
to facilitate the genotyping analyses of C. burnetii genomes in silico via a web
platform. As genotyping is a data intensive process, I also included additional
features such as visualization methods and databases for interpretation and
storage of obtained results. I also developed a method to profile the resistome
of C. burnetii isolates using a machine learning approach. Data about antibiotic
resistance in C. burnetii are scarce majorly due to its lifestyle and the difficulty
of cultivation in laboratory media. Alternative methods that rely on homology
identification of resistance genes are also inefficient in C. burnetii, hence, I
opted for a novel approach that has been shown to be promising in other
bacteria species. The applied method relied on an artificial neural network as
well as amino acid composition of position specific scoring matrix profile for
feature extraction. The resulting model achieved an accuracy of ≈ 0.96 on test
data and the overall performance was significantly higher in comparison to
existing models. Finally, I analyzed two new C. burnetii isolates obtained from
an outbreak in Germany, I compared the genome to the RSA 493 reference
isolate and found extensive deletions across the genome landscape.
This work has provided a new digital infrastructure to analyze and character-
ize C. burnetii genomes that was not in existence before and it has also made a
significant contribution to the existing information about antibiotic resistance
genes in C. burnetii.
This work in the field of digital literary stylistics and computational literary studies is concerned with theoretical concerns of literary genre, with the design of a corpus of nineteenth-century Spanish-American novels, and with its empirical analysis in terms of subgenres of the novel. The digital text corpus consists of 256 Argentine, Cuban, and Mexican novels from the period between 1830 and 1910. It has been created with the goal to analyze thematic subgenres and literary currents that were represented in numerous novels in the nineteenth century by means of computational text categorization methods. The texts have been gathered from different sources, encoded in the standard of the Text Encoding Initiative (TEI), and enriched with detailed bibliographic and subgenre-related metadata, as well as with structural information.
To categorize the texts, statistical classification and a family resemblance analysis relying on network analysis are used with the aim to examine how the subgenres, which are understood as communicative, conventional phenomena, can be captured on the stylistic, textual level of the novels that participate in them. The result is that both thematic subgenres and literary currents are textually coherent to degrees of 70–90 %, depending on the individual subgenre constellation, meaning that the communicatively established subgenre classifications can be accurately captured to this extent in terms of textually defined classes.
Besides the empirical focus, the dissertation also aims to relate literary theoretical genre concepts to the ones used in digital genre stylistics and computational literary studies as subfields of digital humanities. It is argued that literary text types, conventional literary genres, and textual literary genres should be distinguished on a theoretical level to improve the conceptualization of genre for digital text analysis.
The Seville Strategy spurred a signifi cant paradigm shift in UNESCO’s MAB Programme, re-conceptualising the research programme as a modern tool for the dual mandate of nature conservation and sustainable development. However, many biosphere reserves failed to comply with the new regulations and in 2013 the ‘Exit Strategy’ was announced to improve the quality of the global network.
This study presents a global assessment of the implementation of the quality enhancement strategies, highlighting signifi cant differences worldwide through 20 country-specifi c case studies. It concludes that the strategies have been fundamental in improving the credibility and coherence of the MAB Programme. Challenges in the implementation were not unique to individual countries but were common to all Member States with pre-Seville sites, and in many states the process has led to a rejuvenation of national biosphere reserve networks.
In this work, dRNA-seq (differential RNA sequencing) and RNAtag-seq were applied to first define the global transcriptome architecture of C. difficile, followed by Hfq RIP-seq (RNA immunoprecipitation followed by RNA-seq) and RIL-seq (RNA interaction by ligation and sequencing) to characterize the Hfq-mediated sRNA interactome on a transcriptome-wide scale. These approaches resulted in the annotation of > 60 novel sRNAs. Notably, it not only revealed 50 Hfq-bound sRNAs, but also > 1000 mRNA-sRNA interactions, confirming Hfq as a global RNA matchmaker in C. difficile. Similar to its function in Gram-negative species, deletion of Hfq resulted in decreased sRNA half-lives, providing evidence that Hfq affects sRNA stability in C. difficile. Finally, several sRNAs and their function in various infection relevant conditions were characterized. The sRNA nc085 directly interacts with the two-component response regulator eutV, resulting in regulation of ethanolamine utilization, an abundant intestinal carbon and nitrogen source known to impact C. difficile pathogenicity. Meanwhile, SpoY and SpoX regulate translation of the master regulator of sporulation spo0A in vivo, thereby affecting sporulation initiation. Furthermore, SpoY and SpoX deletion significantly impacts C. difficile gut colonization and spore burden in a mouse model of C. difficile infection.
More than 150 different RNA modifications have been detected in all kingdoms of life and 60 are known to decorate bacterial RNA. Among them, pseudouridine is universally conserved and one of the most abundant modifications present in bacterial stable RNAs such as tRNAs and rRNAs. In bacteria, the nucleotide is posttranscriptionally generated by dedicated enzymes called pseudouridine synthases (PUSs). With the advent of sophisticated deep-sequencing technologies, this modification has been identified in different types of RNA classes (tRNAs, rRNAs, mRNAs, snRNAs, and lncRNAs) in diverse eukaryotic organisms. However, these techniques have never been applied to bacteria, generating a knowledge gap about the location of the modified nucleotide in prokaryotic RNAs. Mutations or deletions of specific eukaryotic PUS enzymes are linked to human diseases and therefore their absence is deleterious for the correct function of the cell. However, deletion of tRNA or rRNA PUS enzymes in the bacterial model organism E. coli have not revealed any such drastic phenotypes, suggesting a different role and function of the modification itself and of the enzymes in different kingdoms of life.
Since the roles of tRNA PUS enzymes in bacteria is still poorly understood, a functional characterization of these proteins is pursued in the Epsilonproteobacteria Campylobacter jejuni and Helicobacter pylori. While C. jejuni is the leading cause of bacterial foodborne gastroenteritis in humans, infection with H. pylori is associated with the development of gastric cancer. In particular, phenotypes were explored for the tRNA PUS enzymes TruA, TruB, and TruD in C. jejuni as well as TruA and TruD in H. pylori. Upon deletion of truD, a severe growth defect is observed for C. jejuni but not for H. pylori, highlighting a potential difference in function of the enzyme in the two related bacterial pathogens.
Moreover, a genome-wide approach called Pseudo-seq is established and applied for RNA of these two pathogens, which allows, for the first time, the global identification of pseudouridine modifications at single-nucleotide resolution in the bacterial transcriptome. Applying Pseudo-seq in RNAs of wildtype and diverse PUS enzyme deletion mutants enabled the identification of the distinct RNA substrates of tRNA PUS enyzmes in C. jejuni and H. pylori. Hereby, the tRNA-Glu was determined to be the major tRNA substrate of TruD in C. jejuni. Interestingly, the tRNA-Glu is expressed as a single copy in the C. jejuni genome. To link the growth defect observed for a C. jejuni ∆truD mutant strain to the pseudouridine modification of the tRNA-Glu, a catalytically inactive TruD complementation was generated. This strain is unable to restore the tRNA-Glu modification but surprisingly, was able to complement the growth defect. The same observation was made for a cross-complementation with a copy of H. pylori TruD. This indicates that there is a potential additional function of the TruD PUS enzyme in C. jejuni that is independent of the pseudouridine modification. Using a combination of deep-sequencing technologies (RIP-seq, RNA-seq, Ribo-seq, and CLIP-seq), the dual function of TruD is investigated.
Overall, this study provides the first in-depth investigation into pseudouridylation of bacteria in general and the bacterial pathogens C. jejuni and H. pylori in particular. The work presented in this thesis reveals not only a global map of pseudouridine in tRNAs and rRNAs of the two bacteria but it also explores the function of the responsible tRNA PUS enzymes. In addition, this study provides evidence for a dual function of the C. jejuni PUS enzyme TruD that goes beyond its RNA modifying function. Future research could focus on unravelling the function of TruD and its potential interaction partners and thus reveal new mechanisms of regulation of a protein previously only described as an RNA modification enzyme.
A plethora of novel material concepts are currently being investigated in the condensed matter research community. Some of them hold promise to shape our everyday world in a way that silicon-based semiconductor materials and the related development of semiconductor devices have done in the past. In this regard, the last decades have witnessed an explosion of studies concerned with so called ‘’quantum materials’’ with emerging novel functionalities. These could eventually lead to new generations of electronic and/or spintronic devices. One particular material class, the so called topological materials, play a central role. As far as their technological applicability is concerned, however, they are still facing outstanding challenges to date.
Predicted for the first time in 2005 and experimentally verified in 2007, two-dimensional topological insulators (2D TIs) (a.k.a. quantum spin Hall insulators) exhibit the outstanding property of hosting spin-polarized metallic states along the boundaries of the insulating 2D bulk material, which are protected from elastic single-particle backscattering and give rise to the quantum spin Hall effect (QSHE). Owing to these peculiar properties the QSHE holds promise for dissipationless charge and/or spin transport. However, also in today’s best 2D TIs the observation of the QSHE is still limited to cryogenic temperatures of maximum 100 K. Here, the discovery of bismuthene on SiC(0001) has marked a milestone towards a possible realization of the QSHE at or beyond room-temperature owing to the massively increased electronic bulk energy gap on the order of 1 eV. This thesis is devoted to and motivated by the goal of advancing its synthesis and to build a deeper understanding of its one-particle and two-particle electronic properties that goes beyond prior work.
Regarding the aspect of material synthesis, an improved growth procedure for bismuthene is elaborated that increases the domain size of the material considerably (by a factor of ≈ 3.2 - 6.5 compared to prior work). The improved film quality is an important step towards any future device application of bismuthene, but also facilitates all further basic studies of this material.
Moreover, the deposition of magnetic transition metals (Mn and Co) on bismuthene is investigated. Thereby, the formation of ordered magnetic Bi-Mn/Co alloys is realized, their structure is resolved with scanning tunneling microscopy (STM), and their pristine electronic properties are resolved with scanning tunneling spectroscopy (STS) and photoemission spectroscopy (PES). It is proposed that these ordered magnetic Bi-Mn/Co-alloys offer the potential to study the interplay between magnetism and topology in bismuthene in the future.
In this thesis, a wide variety of spectroscopic techniques are employed that aim to build an understanding of the single-particle, as well as two-particle level of description of bismuthene's electronic structure. The techniques involve STS and angle-resolved PES (ARPES) on the one hand, but also optical spectroscopy and time-resolved ARPES (trARPES), on the other hand. Moreover, these experiments are accompanied by advanced numerical modelling in form of GW and Bethe-Salpeter equation calculations provided by our theoretical colleagues. Notably, by merging many experimental and theoretical techniques, this work sets a benchmark for electronic structure investigations of 2D materials in general.
Based on the STS studies, electronic quasi-particle interferences in quasi-1D line defects in bismuthene that are reminiscent of Fabry-Pérot states are discovered. It is shown that they point to a hybridization of two pairs of helical boundary modes across the line defect, which is accompanied by a (partial) lifting of their topological protection against elastic single-particle backscattering.
Optical spectroscopy is used to reveal bismuthene's two-particle elecronic structure. Despite its monolayer thickness, a strong optical (two-particle) response due to enhanced electron-hole Coulomb interactions is observed. The presented combined experimental and theoretical approach (including GW and Bethe-Salpeter equation calculations) allows to conclude that two prominent optical transitions can be associated with excitonic transitions derived from the Rashba-split valence bands of bismuthene. On a broader scope this discovery might promote further experiments to elucidate links of excitonic and topological physics.
Finally, the excited conduction band states of bismuthene are mapped in energy and momentum space employing trARPES on bismuthene for the first time. The direct and indirect band gaps are succesfully extracted and the effect of excited charge carrier induced gap-renormalization is observed. In addition, an exceptionally fast excited charge carrier relaxation is identified which is explained by the presence of a quasi-metallic density of states from coupled topological boundary states of domain boundaries.
With the continuous development of artificial intelligence, there is an effort to let the expressed mind of robots resemble more and more human-like minds. However, just as the human-like appearance of robots can lead to feelings of aversion to such robots, recent research has shown that the apparent mind expressed by machines can also be responsible for their negative evaluations. This work strives to explore facets of aversion evoked by machines with human-like mind (uncanny valley of mind) within three empirical projects from a psychological point of view in different contexts, including the resulting consequences.
In Manuscript #1, the perspective of previous work in the research area is reversed and thus shows that humans feel eeriness in response to robots that can read human minds, a capability unknown from human-human interaction. In Manuscript #2, it is explored whether empathy for a robot being harmed by a human is a way to alleviate the uncanny valley of mind. A result of this work worth highlighting is that aversion in this study did not arise from the manipulation of the robot’s mental capabilities but from its attributed incompetence and failure. The results of Manuscript #3 highlight that status threat is revealed if humans perform worse than machines in a work-relevant task requiring human-like mental capabilities, while higher status threat is linked with a higher willingness to interact, due to the machine’s perceived usefulness.
In sum, if explanatory variables and concrete scenarios are considered, people will react fairly positively to machines with human-like mental capabilities. As long as the machine’s usefulness is palpable to people, but machines are not fully autonomous, people seem willing to interact with them, accepting aversion in favor of the expected benefits.
The presented thesis deals with the investigation of the characteristic physical properties of lead-free double perovskites. For this purpose lead-free double perovskite single crystals were grown from solution. In order to assess the influence of growth temperature on tail states in the material, the crystals were studied using Photoluminescence Excitation (PLE) and Transmission measurements. Additionally, lead-free double perovskite solar cells and thin films were investigated to address the correlation of precursor stoichiometry and solar cell efficiency. In a last step a new earth abundant lead-free double perovskite was introduced and its physical properties were studied by photoluminescene and absorptance. Like this it was possible to assess the suitability of this material for solar cell applications in the future.
As a major component of the articular cartilage extracellular matrix, hyaluronic acid is a widely used biomaterial in regenerative medicine and tissue engineering. According to its well-known interaction with multiple chondrocyte surface receptors which positively affects many cellular pathways, some approaches by combining mesenchymal stem cells and hyaluronic acid-based hydrogels are already driven in the field of cartilage regeneration and fat tissue. Nevertheless, a still remaining major problem is the development of the ideal matrix for this purpose. To generate a hydrogel for the use as a matrix, hyaluronic acid must be chemically modified, either derivatized or crosslinked and the resulting hydrogel is mostly shaped by the mold it is casted in whereas the stem cells are embedded during or after the gelation procedure which does not allow for the generation of zonal hierarchies, cell density or material gradients. This thesis focuses on the synthesis of different hyaluronic acid derivatives and poly(ethylene glycol) crosslinkers and the development of different hydrogel and bioink compositions that allow for adjustment of the printability, integration of growth factors, but also for the material and biological hydrogel, respectively bioink properties.
Since the advent of high-throughput sequencing technologies in the mid-2010s, RNA se-
quencing (RNA-seq) has been established as the method of choice for studying gene
expression. In comparison to microarray-based methods, which have mainly been used to
study gene expression before the rise of RNA-seq, RNA-seq is able to profile the entire
transcriptome of an organism without the need to predefine genes of interest. Today,
a wide variety of RNA-seq methods and protocols exist, including dual RNA sequenc-
ing (dual RNA-seq) and multi RNA sequencing (multi RNA-seq). Dual RNA-seq and
multi RNA-seq simultaneously investigate the transcriptomes of two or more species, re-
spectively. Therefore, the total RNA of all interacting species is sequenced together and
only separated in silico. Compared to conventional RNA-seq, which can only investi-
gate one species at a time, dual RNA-seq and multi RNA-seq analyses can connect the
transcriptome changes of the species being investigated and thus give a clearer picture of
the interspecies interactions. Dual RNA-seq and multi RNA-seq have been applied to a
variety of host-pathogen, mutualistic and commensal interaction systems.
We applied dual RNA-seq to a host-pathogen system of human mast cells and Staphylo-
coccus aureus (S. aureus). S. aureus, a commensal gram-positive bacterium, can become
an opportunistic pathogen and infect skin lesions of atopic dermatitis (AD) patients.
Among the first immune cells S. aureus encounters are mast cells, which have previously
been shown to be able to kill the bacteria by discharging antimicrobial products and re-
leasing extracellular traps made of protein and deoxyribonucleic acid (DNA). However,
S. aureus is known to evade the host’s immune response by internalizing within mast
cells. Our dual RNA-seq analysis of different infection settings revealed that mast cells
and S. aureus need physical contact to influence each other’s gene expression. We could
show that S. aureus cells internalizing within mast cells undergo profound transcriptome
changes to adjust their metabolism to survive in the intracellular niche. On the host side,
we found out that infected mast cells elicit a type-I interferon (IFN-I) response in an
autocrine manner and in a paracrine manner to non-infected bystander-cells. Our study
provides the first evidence that mast cells are capable to produce IFN-I upon infection
with a bacterial pathogen.
CRISPR-Cas systems are highly diverse and canonically function as prokaryotic adaptive immune systems. The canonical resistance mechanism relies on spacers that are complementary to the invaders' nucleic acids. By accidental incorporation or other mechanisms, prokaryotes can also acquire self-targeting spacers that are complementary to their own genome. As self-targeting commonly leads to lethal autoimmunity, the existence of self-targeting spacers poses a paradox. In Chapter 1, we provide an overview of the prevalence of self-targeting spacers, summarize how they can be incorporated, and which means can be employed by the host to evade lethal self-targeting. In addition, we outline alternative functions of CRISPR-Cas systems that are associated with self-targeting spacers. Whether CRISPR-Cas systems can efficiently target their own genome depends heavily on the presence of protospacer adjacent motifs (PAMs) next to the target region. In Chapter 2, we developed a method to determine PAM requirements. Thereby, we specifically focused on type I systems that engage multi-protein complexes, which are challenging to assess. Using the cell-free transcription-translation (TXTL) system, we developed an enrichment-based binding assay and validated its reliability by examining the well-known PAM requirements of the E. coli type I-E system. In Chapter 3, we applied the TXTL-based PAM assay to assess 16 additional CRISPR-Cas systems. These 16 systems included three CRISPR-Cas associated transposons (CASTs). CASTs are recently discovered transposons that employ CRISPR-Cas systems in a non-canonical function for the directed integration of the transposon. To further characterize CASTs in TXTL outside their PAM requirements, we reconstituted the transposition of CASTs in TXTL. In Chapter 4, we turned to non-canonical self-targeting CRISPR-Cas systems, which were already discussed in Chapter 1. While investigating how the plant pathogen Xanthomonas albilineans survives self-targeting by its two endogenous CRISPR-Cas systems, we identified multiple putative anti-CRISPR proteins (Acrs) in the genome of X. albilineans. Two of the Acrs, named AcrIC11 and AcrIF12Xal, inhibited degradation by their respective CRISPR-Cas systems but still retained Cascade-binding ability, and appear responsible for the lack of autoimmunity in X. albilineans. In summary, we developed new technologies that eased the investigation of non-canonical multi-component systems and, if applied to additional systems, might reveal unique properties that could be implemented in new CRISPR-Cas based tools.
Oral antineoplastic drugs are an important component in the treatment of solid tumour diseases, haematological and immunological malignancies. Oral drug administration is associated with positive features (e.g., non-invasive drug administration, outpatient care with a high level of independence for the patient and reduced costs for the health care system). The systemic exposure after oral intake however is prone to high IIV as it strongly depends on gastrointestinal absorption processes, which are per se characterized by high inter-and intraindividual variability. Disease and patient-specific characteristics (e.g., disease state, concomitant diseases, concomitant medication, patient demographics) may additionally contribute to variability in plasma concentrations between individual patients. In addition, many oral antineoplastic drugs show complex PK, which has not yet been fully investigated and elucidated for all substances. All this may increase the risk of suboptimal plasma exposure (either subtherapeutic or toxic), which may ultimately jeopardise the success of therapy, either through a loss of efficacy or through increased, intolerable adverse drug reactions. TDM can be used to detect suboptimal plasma levels and prevent permanent under- or overexposure. It is essential in the treatment of ACC with mitotane, a substance with unfavourable PK and high IIV. In the current work a HPLC-UV method for the TDM of mitotane using VAMS was developed. A low sample volume (20 µl) of capillary blood was used in the developed method, which facilitates dense sampling e.g., at treatment initiation. However, no reference ranges for measurements from capillary blood are established so far and a simple conversion from capillary concentrations to plasma concentrations was not possible. To date the therapeutic range is established only for plasma concentrations and observed capillary concentrations could not be reliable interpretated.The multi-kinase inhibitor cabozantinib is also used for the treatment of ACC. However, not all PK properties, like the characteristic second peak in the cabozantinib concentration-time profile have been fully understood so far. To gain a mechanistic understanding of the compound, a PBPK model was developed and various theories for modelling the second peak were explored, revealing that EHC of the compound is most plausible. Cabozantinib is mainly metabolized via CYP3A4 and susceptible to DDI with e.g., CYP3A4 inducers. The DDI between cabozantinib and rifampin was investigated with the developed PBPK model and revealed a reduced cabozantinib exposure (AUC) by 77%. Hence, the combination of cabozantinib with strong CYP inducers should be avoided. If this is not possible, co administration should be monitored using TDM. The model was also used to simulate cabozantinib plasma concentrations at different stages of liver injury. This showed a 64% and 50% increase in total exposure for mild and moderate liver injury, respectively.Ruxolitinib is used, among others, for patients with acute and chronic GvHD. These patients often also receive posaconazole for invasive fungal prophylaxis leading to CYP3A4 mediated DDI between both substances. Different dosing recommendations from the FDA and EMA on the use of ruxolitinib in combination with posaconazole complicate clinical use. To simulate the effect of this relevant DDI, two separate PBPK models for ruxolitinib and posaconazole were developed and combined. Predicted ruxolitinib exposure was compared to observed plasma concentrations obtained in GvHD patients. The model simulations showed that the observed ruxolitinib concentrations in these patients were generally higher than the simulated concentrations in healthy individuals, with standard dosing present in both scenarios. According to the developed model, EMA recommended RUX dose reduction seems to be plausible as due to the complexity of the disease and intake of extensive co-medication, RUX plasma concentration can be higher than expected.
Pain conditions and chronic pain disorders are among the leading reasons for seeking medical help and immensely burden patients and the healthcare system. Therefore, research on the underlying mechanisms of pain processing and modulation is necessary and warranted. One crucial part of this pain research includes identifying resilience factors that protect from chronic pain development and enhance its treatment. The ability to use emotion regulation strategies has been suggested to serve as a resilience factor, facilitating pain regulation and management. Acceptance has been discussed as a promising pain regulation strategy, but results in this domain have been mixed so far. Moreover, the allocation of acceptance in Gross’s (1998) process model of emotion regulation has been under debate. Thus, comparing acceptance with the already established strategies of distraction and reappraisal could provide insights into underlying mechanisms. This dissertation project consisted of three successive experimental studies which aimed to investigate these strategies by applying different modalities of individually adjusted pain stimuli of varying durations. In the first study (N = 29), we introduced a within-subjects design where participants were asked to either accept (acceptance condition) or react to the short heat pain stimuli (10 s) without using any pain regulation strategies (control condition). In the second study (N = 36), we extended the design of study 1 by additionally applying brief, electrical pain stimuli (20 ms) and including the new experimental condition distraction, where participants should distract themselves from the pain experience by imagining a neutral situation. In the third study (N = 121), all three strategies, acceptance, distraction, and reappraisal were compared with each other and additionally with a neutral control condition in a mixed design. Participants were randomly assigned to one of three strategy groups, including a control condition and a strategy condition. All participants received short heat pain stimuli of 10 s, alternating with tonic heat pain stimuli of 3 minutes. In the reappraisal condition, participants were instructed to imagine the pain having a positive outcome or valence. The self-reported pain intensity, unpleasantness, and regulation ratings were measured in all studies. We further recorded the autonomic measures heart rate and skin conductance continuously and assessed the habitual emotion regulation styles and pain-related trait factors via questionnaires. Results revealed that the strategies acceptance, distraction, and reappraisal significantly reduced the self-reported electrical and heat pain stimulation with both durations compared to a neutral control condition. Additionally, regulatory efforts with acceptance in study 2 and with all strategies in study 3 were reflected by a decreased skin conductance level compared to the control condition. However, there were no significant differences between the strategies for any of the assessed variables. These findings implicate similar mechanisms underlying all three strategies, which led to the proposition of an extended process model of emotion regulation. We identified another sequence in the emotion-generative process and suggest that acceptance can flexibly affect at least four sequences in the process. Correlation analyses further indicated that the emotion regulation style did not affect regulatory success, suggesting that pain regulation strategies can be learned effectively irrespective of habitual tendencies. Moreover, we found indications that trait factors such as optimism and resilience facilitated pain regulation, especially with acceptance. Conclusively, we propose that acceptance could be flexibly used by adapting to different circumstances. The habitual use of acceptance could therefore be considered a resilience factor. Thus, acceptance appears to be a promising and versatile strategy to prevent the development of and improve the treatment of various chronic pain disorders. Future studies should further examine factors and circumstances that support effective pain regulation with acceptance.
The fusion of methods from several disciplines is a crucial component of scientific development. Artificial Neural Networks, based on the principle of biological neuronal networks, demonstrate how nature provides the best templates for technological advancement. These innovations can then be employed to solve the remaining mysteries of biology, including, in particular, processes that take place on microscopic scales and can only be studied with sophisticated techniques. For instance, direct Stochastic Optical Reconstruction Microscopy combines tools from chemistry, physics, and computer science to visualize biological processes at the molecular level. One of the key components is the computer-aided reconstruction of super-resolved images. Improving the corresponding algorithms increases the quality of the generated data, providing further insights into our biology. It is important, however, to ensure that the heavily processed images are still a reflection of reality and do not originate in random artefacts.
Expansion microscopy is expanding the sample by embedding it in a swellable hydrogel. The method can be combined with other super-resolution techniques to gain additional resolution. We tested this approach on microtubules, a well-known filamentous reference structure, to evaluate the performance of different protocols and labelling techniques.
We developed LineProfiler an objective tool for data collection. Instead of collecting perpendicular profiles in small areas, the software gathers line profiles from filamentous structures of the entire image. This improves data quantity, quality and prevents a biased choice of the evaluated regions. On the basis of the collected data, we deployed theoretical models of the expected intensity distribution across the filaments. This led to the conclusion that post-expansion labelling significantly reduces the labelling error and thus, improves the data quality. The software was further used to determine the expansion factor and arrangement of synaptonemal complex data.
Automated Simple Elastix uses state-of-the-art image alignment to compare pre- and post-expansion images. It corrects linear distortions occurring under isotropic expansion, calculates a structural expansion factor and highlights structural mismatches in a distortion map. We used the software to evaluate expanded fungi and NK cells. We found that the expansion factor differs for the two structures and is lower than the overall expansion of the hydrogel.
Assessing the fluorescence lifetime of emitters used for direct Stochastic Optical Reconstruction Microscopy can reveal additional information about the molecular environment or distinguish dyes emitting with a similar wavelength. The corresponding measurements require a confocal scanning of the sample in combination with the fluorescent switching of the underlying emitters. This leads to non-linear, interrupted Point Spread Functions. The software ReCSAI targets this problem by combining the classical algorithm of compressed sensing with modern methods of artificial intelligence. We evaluated several different approaches to combine these components and found, that unrolling compressed sensing into the network architecture yields the best performance in terms of reconstruction speed and accuracy.
In addition to a deep insight into the functioning and learning of artificial intelligence in combination with classical algorithms, we were able to reconstruct the described non-linearities with significantly improved resolution, in comparison to other state-of-the-art architectures.
All presented studies aimed on the improvement of the quality analysis of already monographed drugs. Thereby different LC methods were applied and coupled to i.e., the UV/VIS detector, the CAD or a hyphenation of these detectors, respectively. The choice of the chromatographic system including the detector was largely dependent on the physicochemical properties of the respective analytes.
With the risk-assessment report on the API cetirizine we presented an exemplary tool, that can help to minimize the risk of the occurrence of unexpected impurities. An in- deep analysis of each step within synthesis pathway by means of reaction matrices of all compounds was performed. It is essential to understand the complete impurity profile of all reactants, solvents, and catalysts and to include them in the matrix. Finally, the API of this synthesis was checked if all impurities are identified by this tool. Of note, a shortcoming of such a targeted approach is that impurities can still occur, but they are not captured. This disadvantage can be partially compensated by non-targeted approaches if they are performed in parallel with the other studies that represent most of the impurities. However, this work also shows that even in a supposedly simple synthesis, potentially hundreds of by-products can be formed. For each of them, it must be decided individually whether their formation is probable or how their quantity can be minimized in order to obtain APIs, that are as pure as possible.
In the dapsone project it was aimed to replace the existing old Ph. Eur. TLC method with a modern RP-HPLC method. This was successful and since Ph. Eur. 10.6, the method developed in this work, became a valid monograph. Within the revision process of the monograph, the individual limits for impurities were tightened. However, this new method needs HPLC instrumentation, suitable to perform gradients. As this is not always available in all control laboratories, we also developed an alternative, more simple method using two different isocratic runs for the impurity analysis. The obtained batch results of both, the new pharmacopoeial method and the more simple one, were in a comparable order of magnitude. Furthermore, within the method development stage of the Ph. Eur. method, we could identify one unknown impurity of the impurity reference by high-resolution MS/MS analysis.
Also, in the baclofen project it was aimed to replace the existing Ph. Eur. method with the introduction of an additional impurity to be quantified. A corresponding method was developed and validated. However, due to the harmonization process of the pharmacopoeias, it is currently not used. In addition, we tried to find further, non- 116
SUMMARY
chromophoric impurities by means of the CAD. However, except for one counterion of an impurity, no further impurities were found. Also, the aforementioned new impurity could not be detected above the reporting threshold in the batches analyzed. As the only individually specified impurity A is also present at a low level, it can be concluded that the examined batches of baclofen are very pure.
The use of universal detectors, such as the CAD can be particularly interesting for compounds with no chromophore or those with only a weak chromophore. Therefore, we decided to take a closer look at the impurity profile of acarbose. Currently, acarbose and its impurities are being studied by low wavelength UV detection at 210 nm. Therefore, the question arose whether there are no other impurities in the API that do not show absorption at this wavelength. CAD, which offers consistent detection properties for all non-volatile compounds, is ideally suited for this purpose. However, it was not so easy to use the CAD together with the UV detector, for example, as a hyphenated detection technique, because the Ph. Eur. method uses phosphate buffers. However, this is non-volatile and therefore inappropriate for the CAD. Therefore, an attempt was made to replace the buffer with a volatile one. However, since this did not lead to satisfactory results and rather the self-degradation process of the stationary phase used could be observed by means of the CAD, it was decided to switch to alternative stationary phases. A column screening also revealed further difficulties with acarbose and its impurities: they show an epimerization reaction at the end of the sugar chain. However, since one wanted to have uniform peaks in the corresponding chromatograms, one had to accelerate this reaction significantly to obtain only one peak for each component. This was best achieved by using two stationary phases: PGC and Amide-HILIC. Impurity-profiling methods could be developed on each of the two phases. In addition, as expected, new impurities could be detected, albeit at a low level. Two of them could even be identified by spiking experiments as the sugar fragments maltose and maltotriose.
Taken together, it can be concluded, that this work has contributed significantly to the improvement of the quality analysis of monographed drugs. In addition to the presented general tool for the identification of potential impurities, one of the methods developed, had already been implemented to the Ph. Eur. In an effort to improve the CAD's universal detection capabilities, additional methods have also been developed. Further, new improved methods for the impurity profiling are ready to use.
The focus of this work was the development and application of highly efficient RNA catalysts for the site-specific modification of RNA with special focus on methylation. In the course of this thesis, the first methyltransferase ribozyme (MTR1), which uses m6G as the methyl group donor was developed and further characterized. The RNA product was identified as the natural modification m1A. X-Ray crystallography was used to solve the 3D structure of the ribozyme, which directly suggested a plausible reaction meachnism. The MTR1 ribozyme was also successfully repurposed for a nucleobase transformation reaction of a purine nucleoside. This resulted in a formyl-imidazole moiety directly on the intact RNA, which was directly used for further bioconjugation reactions. Finally, additional selections and reselections led to the identification of highly active alkyltransferase ribozymes that can be used for the labeling of various RNA targets
Influence of Carbon Additives on the Electrochemical Performance of Modern Lead-Acid Batteries
(2023)
In the first part of this thesis, a validation of both short-term and long-term DCA tests on 2 V laboratory cells is focussed. The aim is to improve the laboratory cell level measurement technology for dynamic charge acceptance regarding the investigation of carbon additives. To address this issue, it is crucial to apply carbon additives generating a remarkable difference in charge acceptance. For this purpose, five different carbon additives providing a variation in the specific external surface were included as additives in the negative plates of 2 V lead-acid cells. Both short-term (charge acceptance test 2 from SBA and DCA from EN) and long-term (Run-in DCA from Ford) DCA tests were executed on the lead-acid cells. Further understanding of the mechanism was studied by applying electrochemical methods like cyclic voltammetry and electrochemical impedance spectroscopy.
The second part of this thesis aims to understand the impact of carbon surface functional groups on the electrochemical activity of the negative electrodes as well as the DCA of 2 V lead-acid cells. In order to address this topic, commercially available activated carbon was modified by different chemical treatments to incorporate specific surface functional groups in the carbon structure. A series of activated carbons having a broad range of pH was prepared, which were used as additives in the negative electrodes. The corresponding lead-acid cells were subjected to cyclic voltammetry and DCA test according to EN. Further, the physical and chemical properties of the functionalized carbon additives were intensively analyzed to establish a structure-property relationship with a focus on DCA.
Companies are expected to act as international players and to use their capabilities to provide customized products and services quickly and efficiently. Today, consumers expect their requirements to be met within a short time and at a favorable price. Order-to-delivery lead time has steadily gained in importance for consumers. Furthermore, governments can use various emissions policies to force companies and customers to reduce their greenhouse gas emissions. This thesis investigates the influence of order-to-delivery lead time and different emission policies on the design of a supply chain. Within this work different supply chain design models are developed to examine these different influences. The first model incorporates lead times and total costs, and various emission policies are implemented to illustrate the trade-off between the different measures. The second model reflects the influence of order-to-delivery lead time sensitive consumers, and different emission policies are implemented to study their impacts. The analysis shows that the share of order-to-delivery lead time sensitive consumers has a significant impact on the design of a supply chain. Demand uncertainty and uncertainty in the design of different emission policies are investigated by developing an appropriate robust mathematical optimization model. Results show that especially uncertainties on the design of an emission policy can significantly impact the total cost of a supply chain. The effects of differently designed emission policies in various countries are investigated in the fourth model. The analyses highlight that both lead times and emission policies can strongly influence companies' offshoring and nearshoring strategies.
Diabetes mellitus is an incurable, metabolic disease, which is associated with severe long-term complications. The in vitro generation of pancreatic β-cells from human induced pluripotent stem cells (hiPSCs) represent a promising strategy for a curative therapy of diabetes mellitus. However, current differentiation strategies largely fail to produce functional β-cells in vitro and require an additional in vivo transplantation to achieve terminal maturation. Previous studies demonstrated a beneficial effect of the extracellular matrix (ECM) on the survival and sustained function of adult, isolated islets of Langerhans. This raises the question whether organ-specific cell-ECM interactions might represent the missing link driving the final stage of β-cell development. In order to address this issue, this study investigated the impact of the pancreas ECM on in vitro β-cell differentiation and its use for the establishment of a pancreatic endocrine organ model.
To this purpose, a pancreas-specific ECM scaffolds (PanMa) was derived from porcine pancreata using whole organ decellularization with Sodium Deoxycholate. In a first step, the generated PanMa was thoroughly characterized using (immuno-) histological stainings, scanning electron microscopy and DNA quantification as well as perfusion and recellularization experiments with endothelial cells. Based on these data, a scoring system (PancScore) for a standardized PanMa generation was developed. Next, the generated PanMa was tested for the presence of tissue-specific ECM features. Therefore, the biophysical and physico-structural characteristics, such as rigidity, porosity and hygroscopy were analyzed using rheological measurements, particle diffusion analyses as well as a water evaporation assay and compared to the properties of ECM scaffolds derived from porcine small intestine (SISser) and lung (LungMa) to examine organ-specific scaffold cues. Following the thorough scaffold characterization, the impact of the PanMa on pluripotency and early development of hiPSC was studied. To this purpose, gene and protein expression of hiPSCs during maintenance culture and spontaneous differentiation on the PanMa were assessed. In a next step, the impact of the PanMa on the pancreatic endocrine differentiation of hiPSCs was tested. Therefore, the PanMa was used as a liquid media supplement or as a solid scaffold during the directed differentiation of hiPSC towards either pancreatic hormone-expressing cells (Rezania et al. 2012; Rezania et al. 2014) or maturing β-cells (Rezania et al. 2014). The impact of the PanMa on the generated cells was examined by gene expression analysis, immunohistochemical staining of important stage markers, as well as glucose stimulated insulin secretion assays. In a last part of this study, the potential of the PanMa for the prolonged culture of hiPSC derived endocrine cells for the establishment of an in vitro organ model of the endocrine pancreas was examined. Therefore, a PanMa-derived hydrogel was generated and used for the encapsulation and culture of hiPSC-derived hormone-expressing cells (HECs). The influence of the PanMa-hydrogel culture was analyzed on gene, protein and functional level by gene expression analysis, immunohistochemical stainings and glucose stimulated insulin secretion.
Whole organ decellularization resulted in the generation of an acellular PanMa scaffold, with low amounts of residual DNA and a preserved ECM micro- and ultrastructure, including important ECM components, such as collagen I, III and IV. Furthermore, the PanMa maintained an intact vessel system and was verified as cytocompatible as demonstrated by the successful recellularization of the arterial system with human endothelial cells. In comparison to SISser and LungMa, the PanMa was characterized as a relative soft, hygroscopic scaffold with a collagen-fiber based structure. Furthermore, the findings indicate that the ECM-specific properties have a relevant effect on the stem cell character and early multi-lineage decisions of hiPSCs. In this regard, maintenance of hiPSCs on the PanMa resulted in a slightly changed expression of pluripotency genes (OCT4, SOX2 and NANOG) and a weak immunohistochemical signal for NANOG protein, indicating a PanMa-dependent impact on hiPSC pluripotency. Strikingly, this presumption was corroborated by the finding that culture on the PanMa promoted an endodermal development of hiPSCs during spontaneous differentiation. In line with that, pancreatic differentiation of hiPSC on both the PanMa and SISser resulted in a significant decrease of glucagon and somatostatin gene expression as well as an unaltered insulin expression, suggesting an ECM-driven suppression of the development of non β-cell endocrine cells. However, this change did not result in an improved glucose stimulated insulin secretion of the generated HECs. Moreover, use of the PanMa as a hydrogel allowed prolonged culture of these cells in a defined culture system. HECs were viable after 21 days of culture, however already showed an altered islet morphology as well as a slightly decreased glucose stimulated insulin secretion.
Altogether, this study demonstrates a relevant biological effect of tissue specific ECM cues on the in vitro differentiation of hiPSCs. More specifically, the data indicate an involvement of the ECM in the endocrine commitment of hiPSC-derived pancreatic cells during directed differentiation highlighting the ECM as an important regulator of pancreatic development. Collectively, these findings emphasize the relevance of the ECM for the fabrication of functional hiPSC-derived cell types and suggest a much stronger consideration of organ specific ECM cues for tissue engineering approaches as well as clinical translation in regenerative medicine.
The human body has very good self-healing capabilities for numerous different injuries to a variety of different tissues. This includes the main human mechanical framework, the skeleton. The skeleton is limited in its healing without additional aid by medicine mostly by the defect size. When the defect reaches a size above 2.5 cm the regeneration of the defect ends up faulty. Here is where implants, defect fillers and other support approaches developed in medicine can help the body to heal the big defect still successfully.
Usually sturdy implants (auto-/allo-/xenogenic) are implanted in the defect to bridge the distance, but for auto- and allogenic implants a suitable donor site must be found and for all sources the implant needs to be shaped into the defect specific site to ensure a perfect fit, the best support and good healing. This shaping is very time consuming and prone to error, already in the planning phase. The use of a material that is moldable and sets in the desired shape shortly after applying negates these disadvantages. Cementitious materials offer exactly this property by being in a pasty stage after the powder and liquid components have been mixed and the subsequently hardening to a solid implant. These properties also enable the extrusion, and therefore may also enable the injection, of the cement via a syringe in a minimal invasive approach.
To enable a good injection of the cement modifications are necessary. This work aimed to modify commonly used calcium phosphate-based cement systems based on α-TCP (apatitic) and β-TCP (brushitic). These have been modified with sodium phytate and phytic acid, respectively. Additionally, the α-TCP system has been modified with sodium pyrophosphate, in a second study, to create a storable aqueous paste that can be activated once needed with a highly concentrated sodium orthophosphate solution.
The powder phase of the α-TCP cement system consisted of nine parts α-TCP and one part CDHA. These were prepared to have different particle sizes and therefore enable a better powder flowability through the bimodal size distribution. α-TCP had a main particle size of 20 μm and CDHA of 2.6 μm. The modification with sodium phytate led to an adsorption of phytate ions on the surface of the α-TCP particles, where they started to form complexes with the Ca2+ ions in the solution. This adsorption had two effects. The first was to make the calcium ions unavailable, preventing supersaturation and ultimately the precipitation of CDHA what would lead to the cement hardening. The second was the increase of the absolute value of the surface charge, zeta potential, of the powder in the cement paste. Here a decrease from +3 mV to -40 mV could be measured. A strong value for the zeta potential leads to a higher repulsion of similarly charged particles and therefore prevents powder agglomeration and clogging on the nozzle during injection. These two modifications (bimodal particles size distribution and phytic acid) lead to a significant increase in the paste injectability. The unmodified paste was injectable for 30 % only, where all modified pastes were practically fully injectable ~90 % (the residual paste remained in the nozzle, while the syringe plunger already reached the end of the syringe).
A very similar observation could be made for the β-TCP system. This system was modified with phytic acid. The zeta potential was decreased even stronger from -10 ± 1.5 mV to -71.5 ± 12 mV. The adsorption of the phytate ions and subsequent formation of chelate complexes with the newly dissolved Ca2+ ions also showed a retarding effect in the cements setting reaction. Where the unmodified cement was not measurable in the rheometer, as the reaction was faster than the measurement setup (~1.5 min), the modified cements showed a transition through the gel point between 3-6 min. This means the pastes stayed between 2 and 4 times longer viscous than without the modification. Like with the first cement system also here the effects of the phytate addition showed its beneficial influence in the injectability measurement. The unmodified cement was not injectable at all, due to the same issue already encountered at the rheology measurements, but all modified pastes were fully injectable for at least 5 min (lowest phytate concentration) and at least 10 min (all other concentrations) after the mixing of powder and liquid.
The main goal of the last modification with sodium pyrophosphate was to create a paste that was stable in aqueous environment without setting until the activation takes place, but it should still show good injectability as this was the desired way of application after activation. Like before also the zeta potential changed after the addition of pyrophosphate. It could be lowered from -22 ± 2mV down to -61 to -68 ± 4mV (depending on the pyrophosphate concentration). The pastes were stored in airtight containers at room temperature and checked for their phase composition over 14 days. The unmodified paste showed a beginning phase conversion to hydroxyapatite between 7 and 14 days. All other pastes were still stable and unreacted. The pastes were activated with a high concentrated (30 wt%) sodium orthophosphate solution. After the activation the pastes were checked for their injectability and showed an increase from -57 ± 11% for the unmodified paste to -89 ± 3% (practically fully injectable as described earlier) for the best modified paste (PP005).
It can be concluded that the goal of enabling full injection of conventional calcium phosphate bone cement systems was reached. Additional work produced a storage stable paste that still ensures full injectability. Subsequent work already used the storable paste and modified it with hyaluronic acid to create an ink for 3D extrusion printing. The first two cement systems have also already been investigated in cell culture for their influence on osteoblasts and osteoclasts. The next steps would have to go more into the direction of translation. Figuring out what properties still need to be checked and where the modification needs adjustment to enable a clinical use of the presented systems.
The anaerobe Fusobacterium nucleatum (F. nucleatum) is an important member of the oral microbiome but can also colonize different tissues of the human body. In particular, its association with multiple human cancers has drawn much attention.
This association has prompted growing interest into the interaction of F. nucleatum with cancer, with studies focusing primarily on the host cells. At the same time, F. nucleatum itself remains poorly understood, which includes its transcriptomic architecture but also gene regulation such as global stress responses that typically enable survival of bacteria in new environments. An important aspect of such regulatory networks is the post-transcriptional regulation, which is entirely unknown in F. nucleatum. This paucity extents to any knowledge on small regulatory RNAs (sRNAs), despite their important role as post-transcriptional regulators of the bacterial physiology.
Investigating the above stated aspects is further complicated by the fact that F. nucleatum is phylogenetically distant from all other bacteria, displays very limited genetic tractability and lacks genetic tools for dissecting gene function.
This leaves many open questions on basic gene regulation in F. nucleatum, such as if the bacterium combines transcriptional and post-transcriptional regulation in its adaptation to a changing environment.
To begin answering this question, this works elucidated the transcriptomic landscape of F. nucleatum by performing differential RNA-seq (dRNA-seq). Conducted for five representative strains of all F. nucleatum subspecies and the closely related F. periodonticum, the analysis globally uncovered transcriptional start sites (TSS), 5'untranslated regions (UTRs) and improved the existing annotation. Importantly, the dRNA-seq analysis also identified a conserved suite of sRNAs specific to Fusobacterium.
The development of five genetic tools enabled further investigations of gene functions in F. nucleatum. These include vectors that enable the expression of different fluorescent proteins, inducible gene expression and scarless gene deletion in addition to transcriptional and translational reporter systems.
These tools enabled the dissection of a Sigma E response and uncovered several commonalities with its counterpart in the phylogenetically distant Proteobacteria. The similarities include the upregulation of genes involved in membrane homeostasis but also a Simga E-dependent regulatory sRNA. Surprisingly, oxygen was found to activated Sigma E in F. nucleatum contrasting the typical role of the factor in envelope stress.
The non-coding Sigma E-dependent sRNA, named FoxI, was shown to repress the translation of several envelope proteins which represented yet another parallel to the envelope stress response in Proteobacteria.
Overall, this work sheds light on the RNA landscape of the cancer-associated bacterium leading to the discovery of a conserved global stress response consisting of a coding and a non-coding arm. The development of new genetic tools not only aided the latter discovery but also provides the means for further dissecting the molecular and infection biology of this enigmatic bacterium.
Platelets have a key physiological role in haemostasis however, inappropriate thrombus formation can lead to cardiovascular diseases such as myocardial infarction or stroke. Although, such diseases are common worldwide there are comparatively few anti-platelet drugs, and these are associated with an increased risk of bleeding. Platelets also have roles in thrombo-inflammation, immuno-thrombosis and cancer, in part via C-type lectin-like receptor 2 (CLEC-2) and its ligand podoplanin. Although CLEC-2 contributes to these diseases in mice, as well as to thrombus stability, it is unclear whether CLEC-2 has similar roles in humans, particularly as human CLEC-2 (hCLEC-2) cannot be investigated experimentally in vivo.
To investigate hCLEC-2 in vivo, we generated a humanised CLEC-2 mouse (hCLEC-2KI) model, as well as a novel monoclonal antibody, HEL1, that binds to a different site than an existing antibody, AYP1. Using these antibodies, we have provided proof of principle for the use of hCLEC-2KI mice to test potential therapeutics targeting hCLEC-2, and shown for the first time that hCLEC-2 can be immunodepleted, with little effect on haemostasis. However, our results have also suggested that there are species differences in the role of CLEC-2 in arterial thrombosis. We further confirmed this using human blood where blocking CLEC-2 ligand binding had no effect on thrombosis, whereas we confirmed a minor role for mouse CLEC-2 in thrombus stability. We also investigated the effect of blocking CLEC-2 signalling using the Bruton’s tyrosine kinase inhibitor PRN473 on CLEC-2 mediated immuno-thrombosis in a Salmonella typhimurium infection model. However, no effect on thrombosis was observed suggesting that CLEC-2 signalling is not involved.
Overall, our results suggest that there may be differences in the role of human and mouse CLEC-2, at least in arterial thrombosis, which could limit the potential of CLEC-2 as an anti-thrombotic target. However, it appears that the interaction between CLEC-2 and podoplanin is conserved and therefore CLEC-2 could still be a therapeutic target in immuno-thrombosis, thrombo-inflammation and cancer. Furthermore, any potential human specific therapeutics could be investigated in vivo using hCLEC-2KI mice.
1. Bis(1-(4-tolyl)-carboran-2-yl)-(4-tolyl)-borane, a new bis(o-carboranyl)-(R)-borane 1 was synthesised by lithiation of the o-carboranyl precursor and subsequent salt metathesis reaction with (4-tolyl)BBr2. Cyclic voltammetry experiments on 1 show multiple distinct reduction events with a one-electron first reduction. In a selective reduction experiment the corresponding paramagnetic radical anion 1•− was isolated and characterized. Single-crystal structure analyses allow an in-depth comparison of 1, 1•−, their calculated geometries, and the S1 excited state of 1.
2. The choice of backbone linker for ortho-bis-(9-borafluorene)s has a great influence on the LUMO located at the boron centers and therefore the reactivity of the respective compounds. Herein, we report the room temperature rearrangement of 1,2-bis-(9-borafluorenyl-)-ortho-carborane, C2B10H10-1,2-[B(C12H8)]2 ([2a]) featuring o-carborane as the inorganic three-dimensional backbone and the synthesis of 1,2-bis-(9-borafluorenyl-)benzene, C6H4-1,2-[B(C12H8)]2 (2b) its phenylene analog. DFT calculations on the transition state for the rearrangement support an intramolecular C–H bond activation process via an SEAr-like mechanism in [2a], and predicted that the same rearrangement would take place in 2b, but at elevated temperatures, which indeed proved to be the case.
3. We synthesized 4 a julolidine-like pyrenyl-o-carborane, with pyrene substituted at the 2,7-positions on the HOMO/LUMO nodal plane, continuing our research. Using solid state molecular structures, photophysical data, cyclic voltammetry, DFT and TD-DFT calculations we compare o-carborane and the B(mes)2 (mes = 2,4,6-Me3C6H2) as acceptor groups and confirm the julolidine-like donor strength.
The monarch butterfly (Danaus plexippus) performs one of the most astonishing behaviors in the animal kingdom: every fall millions of these butterflies leave their breeding grounds in North Amerika and migrate more than 4.000 km southwards until they reach their overwintering habitat in Central Mexico. To maintain their migratory direction over this enormous distance, the butterflies use a time-compensated sun compass. Beside this, skylight polarization, the Earth’s magnetic field and specific mountain ranges seem to guide the butterflies as well the south. In contrast to this fascinating orientation ability, the behavior of the butterflies in their non-migratory state received less attention. Although they do not travel long distances, they still need to orient themselves to find food, mating partners or get away from competitors. The aim of the present doctoral thesis was to investigate use of visual cues for orientation in migrating as well as non-migrating monarch butterflies. For this, field experiments investigating the migration of the butterflies in Texas (USA) were combined with experiments testing the orientation performance of non-migratory butterflies in Germany.
In the first project, I recorded the heading directions of tethered butterflies during their annual fall migration. In an outdoor flight simulator, the butterflies maintained a southwards direction as long as they had a view of the sun’s position. Relocating the position of the sun by 180° using a mirror, revealed that the sun is the animals’ main orientation reference. Furthermore, I demonstrated that when the sun is blocked and a green light stimulus (simulated sun) is introduced, the animals interpreted this stimulus as the ‘real’ sun. However, this cue was not sufficient to set the migratory direction when simulated as the only visual cue in indoor experiments. When I presented the butterflies a linear polarization pattern additionally to the simulated sun, the animals headed in the correct southerly direction showing that multiple skylight cues are required to guide the butterflies during their migration.
In the second project, I, furthermore, demonstrated that non-migrating butterflies are able to maintain a constant direction with respect to a simulated sun. Interestingly, they ignored the spectral component of the stimulus and relied on the intensity instead. When a panoramic skyline was presented as the only orientation reference, the butterflies maintained their direction only for short time windows probably trying to stabilize their flight based on optic-flow information. Next, I investigated whether the butterflies combine celestial with local cues by simulating a sun stimulus together with a panoramic skyline. Under this conditions, the animals’ directedness was increased demonstrating that they combine multiple visual cues for spatial orientation.
Following up on the observation that a sun stimulus resulted in a different behavior than the panoramic skyline, I investigated in my third project which orientation strategies the butterflies use by presenting different simulated cues to them. While a bright stripe on a dark background elicited a strong attraction of the butterflies steering in the direction of the stimulus, the inverted version of the stimulus was used for flight stabilization. In contrast to this, the butterflies maintained arbitrary directions with a high directedness with respect to a simulated sun. In an ambiguous scenery with two identical stimuli (two bright stripes, two dark stripes, or two sun stimuli) set 180° apart, a constant flight course was only achieved when two sun stimuli were displayed suggesting an involvement of the animals’ internal compass. In contrast, the butterflies used two dark stripes for flight stabilization and were alternatingly attracted by two bright stripes. This shows that monarch butterflies use stimulus-dependent orientation strategies and gives the first evidence for different neuronal pathways controlling the output behavior.
SUMOylation, as a post-translational modification, plays a crucial role in several biological processes. Small ubiquitin-like modifier (SUMO) proteins can be reversibly linked to the lysine residues located within specific motifs on numerous target proteins, leading to the change of stability, localization, activity of target proteins, mostly by promoting or interfering with the interaction with other molecules. Consequently, it can regulate gene transcription, migration, cell cycle progression, cellular responses to stress, and tumorigenesis.
NFATc1 belongs to the Nuclear Factor of Activated T-cells (NFAT) transcription factor family, which is dephosphorylated and translocates to the nucleus upon cell stimulation, which provokes Ca2+ signalling. NFAT plays a crucial role in the development and function of the immune system. NFATc1 has three SUMOylation sites at the position of aa 349, 702, and 914. In our previous study, we demonstrated that point mutations performed on the SUMOylation sites on all three or only at the lysine residues K702 and K914 lead to enhanced expression of IL-2 in vitro. To evaluate the function of SUMOylation of NFATc1 on T cell-mediated immunity in vivo, we not only generated a transgenic mouse strain (NFATc1/ΔS+ mouse) by point mutations from Lysine to Arginine on the two SUMOylation sites within exon 10 of Nfatc1 to prevent their SUMOylation, but in combination created another mouse strain (NFATc1/ΔBC+ mouse) that is completely Nfatc1 exon 10-ablated by using the LoxP/Cre system. In NFATc1/ΔS+ T cells, we observed enhanced IL-2 production and less IL-17A and IFN-γ expression. In line with exon 10 bearing the relevant SUMO sites, NFATc1/ΔBC+ CD4+ T cells behaved similarly as NFATc1/ΔS+ ones. The mechanism is that elevated IL-2 secretion can counteract the expression of IL-17A and IFN-γ via STAT5 and Blimp-1 induction. Afterwards, Blimp-1 suppressed IL-2 itself as well as Bcl2A1. Next, we performed two disease models with our NFATc1/ΔS+ mice. In a major mismatch model for acute graft-versus-host disease, we found that the mice transplanted with NFATc1/ΔS+ CD3+ T cells developed less severe disease, and T cells proliferated less due to increased Tregs. Moreover, when transferring 2D2.NFATc1/ΔS+ Th1 plus Th17 cells to Rag1-/- mice to induce experimental autoimmune encephalitis, we also observed ameliorated disease compared to animals with transferred WT T cells as well as increased Tregs.
Taking all data together, the deficiency in SUMOylation of NFATc1 leads to an elevated IL-2 secretion in T cells and subsequent activation of STAT5, which competes with STAT3 to inhibit IL-17A production and promotes Treg expansion, as well as to an enforcement of Blimp-1 expression, which suppresses IFN-γ and IL-2 expression. Consequently and despite a short phase of enhanced IL-2 secretion, the deficiency of SUMOylation on NFATc1 can protect from autoreactive and alloreactive diseases.
Moreover, to further understand the function of SUMOylation of NFATc1 in humans, we started by establishing an in vitro 3D culture system for tonsil organoids, which was successful in the presence of feeder cells, along with IL-4 and IL-7 cytokines. To confirm that our 3D tonsil organoids can respond to real antigens, we used CMV peptides and peptides of spike proteins from Covid-19 as real antigens, and co-cultured with tonsil organoids, which indeed can generate memory cells and plasmablasts. In the end, we also compared 3D to 2D cultures. Although the total numbers of all B cell subsets were much less in 3D culture than that in 2D culture, still, it indicates that this in-vitro culture system has its limitation, while being usable to produce the similar results as 2D did. Therefore, this 3D culture system can be used as a platform to investigate NFATc1/ΔS+ or NFATc1/ΔBC+ TFH and TFR cells in the dynamic of human GC responses.
The collection at hand is concerned with learning curve effects in hospitals as highly specialized expert organizations and comprises four papers, each focusing on a different aspect of the topic. Three papers are concerned with surgeons, and one is concerned with the staff of the emergency room in a conservative treatment.
The preface compactly addresses the steadily increasing health care costs and economic pressure, the hospital landscape in Germany as well as its development. Furthermore, the DRG lump-sum compensation and the characteristics of the health sector, which is strongly regulated by the state and in which ethical aspects must be omnipresent, are outlined. Besides, the benefit of knowing about learning curve effects in order to cut costs and to keep quality stable or even improve it, is addressed.
The first paper of the collection investigates the learning effects in a hospital which has specialized on endoprosthetics (total hip and knee replacement). Doing so, the specialized as well as the non-specialized interventions are studied. Costs are not investigated directly, but cost indicators. The indicator of costs in the short term are operating room times. The one of medium- to long-term costs is quality. It is operationalized by complications in the post-anesthesia care unit. The study estimates regression models (OLS and logit). The results indicate that the specialization comes along with advantages due to learning effects in terms of shorter operating room times and lower complication rates in endoprosthetic interventions. For the non-specialized interventions, the results are the same. There are no possibly negative effects of specialization on non-specialized surgeries, but advantageous spillover effects. Altogether, the specialization can be regarded as reasonable, as it cuts costs of all surgeries in the short, medium, and long term. The authors are Carsten Bauer, Nele Möbs, Oliver Unger, Andrea Szczesny, and Christian Ernst.
In the second paper surgeons’ learning curves effects in a teamwork vs. an individual work setting are in the focus of interest. Thus, the study combines learning curve effects with teamwork in health care, an issue increasingly discussed in recent literature. The investigated interventions are tonsillectomies (surgical excision of the palatine tonsils), a standard intervention. The indicator of costs in the short and medium to long term are again operating room times and complications as a proxy for quality respectively. Complications are secondary bleedings, which usually occur a few days after surgery. The study estimates regression models (OLS and logit). The results show that operating room times decrease with increasing surgeon’s experience. Surgeons who also operate in teams learn faster than the ones always operating on their own. Thus, operating room times are shorter for surgeons who also take part in team interventions. As a special feature, the data set contains the costs per case. This enables assuring that the assumed cost indicators are valid. The findings recommend team surgeries especially for resident physicians. The authors are Carsten Bauer, Oliver Unger, and Martin Holderried.
The third paper is dedicated to stapes surgery, a therapy for conductive hearing loss caused by otosclerosis (overflow bone growth). It is conceptually simple, but technically difficult. Therefore, it is regarded as the optimum to study learning curve effects in surgery. The paper seeks a comprehensive investigation. Thus, operating room times are employed as short-term cost indicator and quality as the medium to long term one. To measure quality, the postoperative difference between air and bone conduction threshold as well as a combination of this difference and the absence of complications. This paper also estimates different regression models (OLS and logit). Besides investigating the effects on department level, the study also considers the individual level, this means operating room times and quality are investigated for individual surgeons. This improves the comparison of learning curves, as the surgeons worked under widely identical conditions. It becomes apparent that the operating room times initially decrease with increasing experience. The marginal effect of additional experience gets smaller until the direction of the effect changes and the operating room times increase with increasing experience, probably caused by the allocation of difficult cases to the most experienced surgeons. Regarding quality, no learning curve effects are observed. The authors are Carsten Bauer, Johannes Taeger, and Kristen Rak.
The fourth paper is a systematic literature review on learning effects in the treatment of ischemic strokes. In case of stroke, every minute counts. Therefore, there is the inherent need to reduce the time from symptom onset to treatment. The article is concerned with the reduction of the time from arrival at the hospital to thrombolysis treatment, the so-called “door-to-needle time”. In the literature, there are studies on learning in a broader sense caused by a quality improvement program as well as learning in a narrower sense, in which learning curve effects are evaluated. Besides, studies on the time differences between low-volume and high-volume hospitals are considered, as the differences are probably the result of learning and economies of scale. Virtually all the 165 evaluated articles report improvements regarding the time to treatment. Furthermore, the clinical results substantiate the common association of shorter times from arrival to treatment with improved clinical outcomes. The review additionally discusses the economic implications of the results. The author is Carsten Bauer.
The preface brings forward that after the measurement of learning curve effects, further efforts are necessary for using them in order to increase efficiency, as the issue does not admit of easy, standardized solutions. Furthermore, the postface emphasizes the importance of multiperspectivity in research for the patient outcome, the health care system, and society.
The holy grail of structural biology is to study a protein in situ, and this goal has been fast approaching since the resolution revolution and the achievement of atomic resolution. A cell's interior is not a dilute environment, and proteins have evolved to fold and function as needed in that environment; as such, an investigation of a cellular component should ideally include the full complexity of the cellular environment. Imaging whole cells in three dimensions using electron cryotomography is the best method to accomplish this goal, but it comes with a limitation on sample thickness and produces noisy data unamenable to direct analysis. This thesis establishes a novel workflow to systematically analyse whole-cell electron cryotomography data in three dimensions and to find and identify instances of protein complexes in the data to set up a determination of their structure and identity for success. Mycoplasma pneumoniae is a very small parasitic bacterium with fewer than 700 protein-coding genes, is thin enough and small enough to be imaged in large quantities by electron cryotomography, and can grow directly on the grids used for imaging, making it ideal for exploratory studies in structural proteomics. As part of the workflow, a methodology for training deep-learning-based particle-picking models is established.
As a proof of principle, a dataset of whole-cell Mycoplasma pneumoniae tomograms is used with this workflow to characterize a novel membrane-associated complex observed in the data. Ultimately, 25431 such particles are picked from 353 tomograms and refined to a density map with a resolution of 11 Å. Making good use of orthogonal datasets to filter search space and verify results, structures were predicted for candidate proteins and checked for suitable fit in the density map. In the end, with this approach, nine proteins were found to be part of the complex, which appears to be associated with chaperone activity and interact with translocon machinery.
Visual proteomics refers to the ultimate potential of in situ electron cryotomography: the comprehensive interpretation of tomograms. The workflow presented here is demonstrated to help in reaching that potential.
Metallic nanostructures possess the ability to support resonances in the visible wavelength regime which are related to localized surface plasmons. These create highly enhanced electric fields in the immediate vicinity of metal surfaces. Nanoparticles with dipolar resonance also radiate efficiently into the far-field and hence serve as antennas for light. Such optical antennas have been explored during the last two decades, however, mainly as standalone units illuminated by external laser beams and more recently as electrically driven point sources, yet merely with basic antenna properties. This work advances the state of the art of locally driven optical antenna systems. As a first instance, the electric driving scheme including inelastic electron tunneling over a nanometer gap is merged with Yagi-Uda theory. The resulting antenna system consists of a suitably wired feed antenna, incorporating a tunnel junction, as well as several nearby parasitic elements whose geometry is optimized using analytical and numerical methods. Experimental evidence of unprecedented directionality of light emission from a nanoantenna is provided. Parallels in the performance between radiofrequency and optical Yagi-Uda arrays are drawn. Secondly, a pair of electrically connected antennas with dissimilar resonances is harnessed as electrodes in an organic light emitting nanodiode prototype. The organic material zinc phthalocyanine, exhibiting asymmetric injection barriers for electrons and holes, in conjunction with the electrode resonances, allows switching and controlling the emitted peak wavelength and directionality as the polarity of the applied voltage is inverted. In a final study, the near-field based transmission-line driving of rod antenna systems is thoroughly explored. Perfect impedance matching, corresponding to zero back-reflection, is achieved when the antenna acts as a generalized coherent perfect absorber at a specific frequency. It thus collects all guided, surface-plasmon mediated input power and transduces it to other nonradiative and radiative dissipation channels. The coherent interplay of losses and interference effects turns out to be of paramount importance for this delicate scenario, which is systematically obtained for various antenna resonances. By means of the here developed semi-analytical toolbox, even more complex nanorod chains, supporting topologically nontrivial localized edge states, are studied. The results presented in this work facilitate the design of complex locally driven antenna systems for optical wireless on-chip communication, subwavelength pixels, and loss-compensated integrated plasmonic nanocircuitry which extends to the realm of topological plasmonics.
One of the features that defines humans as extraordinarily social beings is their striking susceptibility to the gaze of others. The research reported in this dissertation was undertaken to advance our understanding of the role of gaze cues in low-level attentional and higher-order cognitive processes. In particular, effects of gaze were examined with regard to three aspects of human cognition: (1) social attention, (2) social interaction and (3) social understanding. Chapter 1 consists of three manuscripts that investigate the boundary conditions of attention capture by direct gaze and how gaze direction is integrated with facial context information. Manuscript 1 and 2 suggest two necessary requirements for attention capture by direct gaze: a meaningful holistic facial context and sharp foveal vision, respectively. Manuscript 3 shows approach/avoidance-congruency effects between gaze direction and emotion expression on attention. Chapter 2 of this dissertation explores the role of gaze in more naturalistic social scenarios. Manuscript 4 demonstrates that gaze behavior during a conversation shapes our perception of another person. Manuscript 5 builds on these findings by showing that these perceptions define our willingness to act in a prosocial way towards our interaction partner. Finally, chapter 3 adopts a broader perspective on social cognition research with a special focus on methodological aspects. Manuscript 6 is a review highlighting the significance of methodological aspects in social cognition research and stressing the importance of sophisticated decisions on task and stimulus materials. Manuscript 7 introduces a new instrument for the assessment of social understanding in adolescents. Initial application in a young sample group indicates that an understanding of another person’s mental states is a capacity that is still developing throughout adolescence. Both manuscripts of this final chapter include eye tracking data that suggest a relationship between gaze behavior and social understanding, a finding that further emphasizes the complex and multifaceted nature of social cognition. I conclude from the findings of this dissertation that research can benefit from adopting a broad view in terms of methodological as well as temporal aspects in order to capture human social cognition in its entirety.
Deep learning enables enormous progress in many computer vision-related tasks. Artificial Intel- ligence (AI) steadily yields new state-of-the-art results in the field of detection and classification. Thereby AI performance equals or exceeds human performance. Those achievements impacted many domains, including medical applications.
One particular field of medical applications is gastroenterology. In gastroenterology, machine learning algorithms are used to assist examiners during interventions. One of the most critical concerns for gastroenterologists is the development of Colorectal Cancer (CRC), which is one of the leading causes of cancer-related deaths worldwide. Detecting polyps in screening colonoscopies is the essential procedure to prevent CRC. Thereby, the gastroenterologist uses an endoscope to screen the whole colon to find polyps during a colonoscopy. Polyps are mucosal growths that can vary in severity.
This thesis supports gastroenterologists in their examinations with automated detection and clas- sification systems for polyps. The main contribution is a real-time polyp detection system. This system is ready to be installed in any gastroenterology practice worldwide using open-source soft- ware. The system achieves state-of-the-art detection results and is currently evaluated in a clinical trial in four different centers in Germany.
The thesis presents two additional key contributions: One is a polyp detection system with ex- tended vision tested in an animal trial. Polyps often hide behind folds or in uninvestigated areas. Therefore, the polyp detection system with extended vision uses an endoscope assisted by two additional cameras to see behind those folds. If a polyp is detected, the endoscopist receives a vi- sual signal. While the detection system handles the additional two camera inputs, the endoscopist focuses on the main camera as usual.
The second one are two polyp classification models, one for the classification based on shape (Paris) and the other on surface and texture (NBI International Colorectal Endoscopic (NICE) classification). Both classifications help the endoscopist with the treatment of and the decisions about the detected polyp.
The key algorithms of the thesis achieve state-of-the-art performance. Outstandingly, the polyp detection system tested on a highly demanding video data set shows an F1 score of 90.25 % while working in real-time. The results exceed all real-time systems in the literature. Furthermore, the first preliminary results of the clinical trial of the polyp detection system suggest a high Adenoma Detection Rate (ADR). In the preliminary study, all polyps were detected by the polyp detection system, and the system achieved a high usability score of 96.3 (max 100). The Paris classification model achieved an F1 score of 89.35 % which is state-of-the-art. The NICE classification model achieved an F1 score of 81.13 %.
Furthermore, a large data set for polyp detection and classification was created during this thesis. Therefore a fast and robust annotation system called Fast Colonoscopy Annotation Tool (FastCAT) was developed. The system simplifies the annotation process for gastroenterologists. Thereby the
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gastroenterologists only annotate key parts of the endoscopic video. Afterward, those video parts are pre-labeled by a polyp detection AI to speed up the process. After the AI has pre-labeled the frames, non-experts correct and finish the annotation. This annotation process is fast and ensures high quality. FastCAT reduces the overall workload of the gastroenterologist on average by a factor of 20 compared to an open-source state-of-art annotation tool.
Machine-Learning-Based Identification of Tumor Entities, Tumor Subgroups, and Therapy Options
(2023)
Molecular genetic analyses, such as mutation analyses, are becoming increasingly important in the tumor field, especially in the context of therapy stratification. The identification of the underlying tumor entity is crucial, but can sometimes be difficult, for example in the case of metastases or the so-called Cancer of Unknown Primary (CUP) syndrome. In recent years, methylome and transcriptome utilizing machine learning (ML) approaches have been developed to enable fast and reliable tumor and tumor subtype identification. However, so far only methylome analysis have become widely used in routine diagnostics.
The present work addresses the utility of publicly available RNA-sequencing data to determine the underlying tumor entity, possible subgroups, and potential therapy options. Identification of these by ML - in particular random forest (RF) models - was the first task. The results with test accuracies of up to 99% provided new, previously unknown insights into the trained models and the corresponding entity prediction. Reducing the input data to the top 100 mRNA transcripts resulted in a minimal loss of prediction quality and could potentially enable application in clinical or real-world settings.
By introducing the ratios of these top 100 genes to each other as a new database for RF models, a novel method was developed enabling the use of trained RF models on data from other sources.
Further analysis of the transcriptomic differences of metastatic samples by visual clustering showed that there were no differences specific for the site of metastasis. Similarly, no distinct clusters were detectable when investigating primary tumors and metastases of cutaneous skin melanoma (SKCM).
Subsequently, more than half of the validation datasets had a prediction accuracy of at least 80%, with many datasets even achieving a prediction accuracy of – or close to – 100%.
To investigate the applicability of the used methods for subgroup identification, the TCGA-KIPAN dataset, consisting of the three major kidney cancer subgroups, was used. The results revealed a new, previously unknown subgroup consisting of all histopathological groups with clinically relevant characteristics, such as significantly different survival. Based on significant differences in gene expression, potential therapeutic options of the identified subgroup could be proposed.
Concludingly, in exploring the potential applicability of RNA-sequencing data as a basis for therapy prediction, it was shown that this type of data is suitable to predict entities as well as subgroups with high accuracy. Clinical relevance was also demonstrated for a novel subgroup in renal cell carcinoma. The reduction of the number of genes required for entity prediction to 100 genes, enables panel sequencing and thus demonstrates potential applicability in a real-life setting.
Magnetic systems underlie the physics of quantum mechanics when reaching the limit of few or even single atoms. This behavior limits the minimum size of magnetic bits in data storage devices as spontaneous switching of the magnetization leads to the loss of information. On the other hand, exactly these quantum mechanic properties allow to use such systems in quantum computers. Proposals to realize qubits involve the spin states of single atoms as well as topologically protected Majorana zero modes, that emerge in coupled systems of magnetic atoms in proximity to a superconductor. In order to implement and control the proposed applications, a detailed understanding of atomic spins and their interaction with the environment is required.
In this thesis, two different systems of magnetic adatoms coupled to metallic and superconducting surfaces are studied by means of scanning tunneling microscopy (STM) and spectroscopy: Co atoms on the clean Cu(111) were among the first systems exhibiting signatures of the Kondo effect in an individual atom. Yet, a recent theoretical work proposed an alternative interpretation of these early experimental results, involving a newly described many-body state. Spin-averaged and -polarized experiments in high magnetic fields presented in this thesis confirm effects beyond the Kondo effect that determine the physics in these Co atoms and suggest a potentially even richer phenomenology than proposed by theory.
The second studied system are single and coupled Fe atoms on the superconducting Nb(110) surface. Magnetic impurities on superconducting surfaces locally induce Yu-Shiba-Rusinov (YSR) states inside the superconducting gap due to their pair breaking potential. Coupled systems of such impurities exhibit YSR bands and, if the bands cross the Fermi level such that the band structure is inverted, host Majorana zero modes. Using the example of Fe atoms on Nb(110), the YSR states’ dependence on the adatom–substrate interaction as well as the interatomic YSR state coupling is investigated. In the presence of oxygen on the Nb surface, the adatom–substrate interaction is shown to be heavily modified and the YSR states are found to undergo a quantum phase transition, which can be directly linked to a modified Kondo screening.
STM tips functionalized with CO molecules allow to resolve self-assembled one-dimensional chains of Fe atoms on the clean Nb(110) surface to study the YSR states’ coupling. Mapping out the states’ wave functions reveals their symmetry, which is shown to alter as a function of the states’ energy and number of atoms in the chain. These experimental results are reproduced in a simple tight-binding model, demonstrating a straightforward possibility to describe also more complex YSR systems toward engineered, potentially topologically non-trivial states.
Stroke and myocardial infarction are the most prominent and severe consequences of pathological thrombus formation. For prevention and/or treatment of thrombotic events there is a variety of anti-coagulation and antiplatelet medication that all have one side effect in common: the increased risk of bleeding. To design drugs that only intervene in the unwanted aggregation process but do not disturb general hemostasis, it is crucial to decipher the exact clotting pathway which has not been fully understood yet. Platelet membrane receptors play a vital role in the clotting pathway and, thus, the aim of this work is to establish a method to elucidate the interactions, clustering, and reorganization of involved membrane receptors such as GPIIb/IIIa and GPIX as part of the GPIb-IX-V complex. The special challenges regarding visualizing membrane receptor interactions on blood platelets are the high abundancy of the first and the small size of the latter (1—3µm of diameter). The resolution limit of conventional fluorescence microscopy and even super-resolution approaches prevents the successful differentiation of densely packed receptors from one another. Here, this issue is approached with the combination of a recently developed technique called Expansion Microscopy (ExM). The image resolution of a conventional fluorescence microscope is enhanced by simply enlarging the sample physically and thus pulling the receptors apart from each other. This method requires a complex sample preparation and holds lots of obstacles such as variable or anisotropic expansion and low images contrast. To increase ExM accuracy and sensitivity for interrogating blood platelets, it needs optimized sample preparation as well as image analysis pipelines which are the main part of this thesis. The colocalization results show that either fourfold or tenfold expanded, resting platelets allow a clear distinction between dependent, clustered, and independent receptor organizations compared to unexpanded platelets.Combining dual-color Expansion and confocal fluorescence microscopy enables to image in the nanometer range identifying GPIIb/IIIa clustering in resting platelets – a pattern that may play a key role in the clotting pathway
Mass spectrometry-based quantification of steroids for the diagnostic workup of adrenal tumors
(2023)
Tumors of the adrenal gland belong to the most frequent neoplasms in humans with a prevalence of 3–10 % in adults. The aim of the diagnostic workup is the identification of potentially hormone-secreting and / or malignant tumors, because most of these tumors will require surgical resection. Malignant adrenocortical carcinomas (ACC) are very rare and associated with a poor prognosis in advanced stages, therefore, an early and accurate diagnosis is crucial.
Within this thesis, two liquid chromatography tandem mass spectrometry (LC-MS/MS) methods for the quantification of steroids in different biomaterials were developed to improve the diagnostic workup of adrenal tumors.
First, an LC-MS/MS method for the simultaneous quantification of cortisol and dexamethasone in serum samples after dexamethasone suppression test (DST) was developed, validated, and applied to 400 clinical samples. Newly established method-specific threshold concentrations for cortisol and dexamethasone increased DST specificity from 67.5 % to 92.4 % while preserving 100 % sensitivity.
Second, an LC-MS/MS method for the quantification of eleven urinary steroids was developed and validated to improve the differentiation between ACC and adrenocortical adenomas (ACA). A decision tree requiring only two steroids was trained for classification and tested based on 24 h urine samples from 268 patients with adrenal tumor. Malignancy was excluded with a negative predictive value of 100 % in an independent validation cohort of 84 samples of 24-h urine. A newly proposed simplified diagnostic workflow with urinary steroid profiling as first tier test could obviate additional adrenal-specific imaging in 42 of 64 patients with ACA.
The new DST method is already in clinical use at the University Hospital Würzburg, whereas the classification model based on urinary steroid profiling will require prospective validation in a larger cohort.