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We review the particle physics ingredients affecting the normalization, shape, and flavor composition of astrophysical neutrinos fluxes, such as different production modes, magnetic field effects on the secondaries muons, pions, and kaons, and flavor mixing, where we focus on p? interactions. We also discuss the interplay with neutrino propagation and detection, including the possibility to detect flavor and its application in particle physics, and the use of the Glashow resonance to discriminate p? from pp interactions in the source. We illustrate the implications on fluxes and flavor composition with two different models: 1 the target photon spectrum is dominated by synchrotron emission of coaccelerated electrons and 2 the target photon spectrum follows the observed photon spectrum of gamma-ray bursts. In the latter case, the multimessenger extrapolation from the gamma-ray fluence to the expected neutrino flux is highlighted.
Background: Tardigrades are multicellular organisms, resistant to extreme environmental changes such as heat, drought, radiation and freezing. They outlast these conditions in an inactive form (tun) to escape damage to cellular structures and cell death. Tardigrades are apparently able to prevent or repair such damage and are therefore a crucial model organism for stress tolerance. Cultures of the tardigrade Milnesium tardigradum were dehydrated by removing the surrounding water to induce tun formation. During this process and the subsequent rehydration, metabolites were measured in a time series by GC-MS. Additionally expressed sequence tags are available, especially libraries generated from the active and inactive state. The aim of this integrated analysis is to trace changes in tardigrade metabolism and identify pathways responsible for their extreme resistance against physical stress. Results: In this study we propose a novel integrative approach for the analysis of metabolic networks to identify modules of joint shifts on the transcriptomic and metabolic levels. We derive a tardigrade-specific metabolic network represented as an undirected graph with 3,658 nodes (metabolites) and 4,378 edges (reactions). Time course metabolite profiles are used to score the network nodes showing a significant change over time. The edges are scored according to information on enzymes from the EST data. Using this combined information, we identify a key subnetwork (functional module) of concerted changes in metabolic pathways, specific for de- and rehydration. The module is enriched in reactions showing significant changes in metabolite levels and enzyme abundance during the transition. It resembles the cessation of a measurablemetabolism (e.g. glycolysis and amino acid anabolism) during the tun formation, the production of storage metabolites and bioprotectants, such as DNA stabilizers, and the generation of amino acids and cellular components from monosaccharides as carbon and energy source during rehydration. Conclusions: The functional module identifies relationships among changed metabolites (e.g. spermidine) and reactions and provides first insights into important altered metabolic pathways. With sparse and diverse data available, the presented integrated metabolite network approach is suitable to integrate all existing data and analyse it in a combined manner.
Background: To evaluate oncological and clinical outcome in patients with renal cell carcinoma (RCC) and tumor thrombus involving inferior vena cava (IVC) treated with nephrectomy and thrombectomy. Methods: We identified 50 patients with a median age of 65 years, who underwent radical surgical treatment for RCC and tumor thrombus of the IVC between 1997 and 2010. The charts were reviewed for pathological and surgical parameters, as well as complications and oncological outcome. Results: The median follow-up was 26 months. In 21 patients (42%) distant metastases were already present at the time of surgery. All patients underwent radical nephrectomy, thrombectomy and lymph node dissection through a flank (15 patients/30%), thoracoabdominal (14 patients/28%) or midline abdominal approach (21 patients/42%), depending upon surgeon preference and upon the characteristics of tumor and associated thrombus. Extracorporal circulation with cardiopulmonary bypass (CPB) was performed in 10 patients (20%) with supradiaphragmal thrombus of IVC. Cancer-specific survival for the whole cohort at 5 years was 33.1%. Survival for the patients without distant metastasis at 5 years was 50.7%, whereas survival rate in the metastatic group at 5 years was 7.4%. Median survival of patients with metastatic disease was 16.4 months. On multivariate analysis lymph node invasion, distant metastasis and grading were independent prognostic factors. There was no statistically significant influence of level of the tumor thrombus on survival rate. Indeed, patients with supradiaphragmal tumor thrombus (n = 10) even had a better outcome (overall survival at 5 years of 58.33%) than the entire cohort. Conclusions: An aggressive surgical approach is the most effective therapeutic option in patients with RCC and any level of tumor thrombus and offers a reasonable longterm survival. Due to good clinical and oncological outcome we prefer the use of CPB with extracorporal circulation in patients with supradiaphragmal tumor thrombus. Cytoreductive surgery appears to be beneficial for patients with metastatic disease, especially when consecutive therapy is performed. Although sample size of our study cohort is limited consistent with some other studies lymph node invasion, distant metastasis and grading seem to have prognostic value.
Background: Combination of oncolytic vaccinia virus therapy with conventional chemotherapy has shown promise for tumor therapy. However, side effects of chemotherapy including thrombocytopenia, still remain problematic. Methods: Here, we describe a novel approach to optimize combination therapy of oncolytic virus and chemotherapy utilizing virus-encoding hyper-IL-6, GLV-1h90, to reduce chemotherapy-associated side effects. Results: We showed that the hyper-IL-6 cytokine was successfully produced by GLV-1h90 and was functional both in cell culture as well as in tumor-bearing animals, in which the cytokine-producing vaccinia virus strain was well tolerated. When combined with the chemotherapeutic mitomycin C, the anti-tumor effect of the oncolytic virotherapy was significantly enhanced. Moreover, hyper-IL-6 expression greatly reduced the time interval during which the mice suffered from chemotherapy-induced thrombocytopenia. Conclusion: Therefore, future clinical application would benefit from careful investigation of additional cytokine treatment to reduce chemotherapy-induced side effects.
Renal Perfusion in Scleroderma Patients Assessed by Microbubble-Based Contrast-Enhanced Ultrasound
(2012)
Abstract: Objectives: Renal damage is common in scleroderma. It can occur acutely or chronically. Renal reserve might already be impaired before it can be detected by laboratory findings. Microbubble-based contrast-enhanced ultrasound has been demonstrated to improve blood perfusion imaging in organs. Therefore, we conducted a study to assess renal perfusion in scleroderma patients utilizing this novel technique. Materials and Methodology: Microbubble-based contrast agent was infused and destroyed by using high mechanical index by Siemens Sequoia (curved array, 4.5 MHz). Replenishment was recorded for 8 seconds. Regions of interests (ROI) were analyzed in renal parenchyma, interlobular artery and renal pyramid with quantitative contrast software (CUSQ 1.4, Siemens Acuson, Mountain View, California). Time to maximal Enhancement (TmE), maximal enhancement (mE) and maximal enhancement relative to maximal enhancement of the interlobular artery (mE%A) were calculated for different ROIs. Results: There was a linear correlation between the time to maximal enhancement in the parenchyma and the glomerular filtration rate. However, the other parameters did not reveal significant differences between scleroderma patients and healthy controls. Conclusion: Renal perfusion of scleroderma patients including the glomerular filtration rate can be assessed using microbubble-based contrast media.
Background: The Global initiative for chronic Obstructive Lung Disease (GOLD) defines COPD as a fixed postbronchodilator ratio of forced expiratory volume in 1 second and forced vital capacity (FEV1/FVC) below 0.7. Agedependent cut-off values below the lower fifth percentile (LLN) of this ratio derived from the general population have been proposed as an alternative. We wanted to assess the diagnostic accuracy and prognostic capability of the GOLD and LLN definition when compared to an expert-based diagnosis. Methods: In a prospective cohort study, 405 patients aged ≥ 65 years with a general practitioner’s diagnosis of COPD were recruited and followed up for 4.5 (median; quartiles 3.9; 5.1) years. Prevalence rates of COPD according to GOLD and three LLN definitions and diagnostic performance measurements were calculated. The reference standard was the diagnosis of COPD of an expert panel that used all available diagnostic information, including spirometry and bodyplethysmography. Results: Compared to the expert panel diagnosis, ‘GOLD-COPD’ misclassified 69 (28%) patients, and the three LLNs misclassified 114 (46%), 96 (39%), and 98 (40%) patients, respectively. The GOLD classification led to more false positives, the LLNs to more false negative diagnoses. The main predictors beyond the FEV1/FVC ratio for an expert diagnosis of COPD were the FEV1 % predicted, and the residual volume/total lung capacity ratio (RV/TLC). Adding FEV1 and RV/TLC to GOLD or LLN improved the diagnostic accuracy, resulting in a significant reduction of up to 50% of the number of misdiagnoses. The expert diagnosis of COPD better predicts exacerbations, hospitalizations and mortality than GOLD or LLN. Conclusions: GOLD criteria over-diagnose COPD, while LLN definitions under-diagnose COPD in elderly patients as compared to an expert panel diagnosis. Incorporating FEV1 and RV/TLC into the GOLD-COPD or LLN-based definition brings both definitions closer to expert panel diagnosis of COPD, and to daily clinical practice.
Measuring and estimating biodiversity patterns is a fundamental task of the scientist working to support conservation and informmanagement decisions.Most biodiversity studies in temperate regions were often carried out over a very short period of time (e.g., a single season) and it is often—at least tacitly—assumed that these short-termfindings are representative of long-termgeneral patterns.However, should the studied biodiversity pattern in fact contain significant temporal dynamics, perhaps leading to contradictory conclusions. Here, we studied the seasonal diversity dynamics of arboreal spider communities dwelling in 216 European beeches (Fagus sylvatica L.) to assess the spider community composition in the following seasons: two cold seasons (I:November 2005–January 2006; II: February–April) and two warm seasons (III: May–July; IV: August–October). We show that the usually measured diversity of the warmseason community (IV: 58 estimated species) alone did not deliver a reliable image of the overall diversity present in these trees, and therefore, we recommend it should not be used for sampling protocols aimed at providing a full picture of a forest’s biodiversity in the temperate zones. In particular, when the additional samplings of other seasons (I, II, III) were included, the estimated species richness nearly doubled (108). Community I possessed the lowest diversity and evenness due to the harsh winter conditions: this community was comprised of one dominant species together with several species low in abundance. Similarity was lowest (38.6%) between seasonal communities I and III, indicating a significant species turnover due to recolonization, so that community III had the highest diversity. Finally, using nonparametric estimators, we found that further sampling in late winter (February–April) is most needed to complete our inventory. Our study clearly demonstrates that seasonal dynamics of communities should be taken into account when studying biodiversity patterns of spiders, and probably forest arthropods in general.
Background: Ascorbic acid demonstrates a cytotoxic effect by generating hydrogen peroxide, a reactive oxygen species (ROS) involved in oxidative cell stress. A panel of eleven human cancer cell lines, glioblastoma and carcinoma, were exposed to serial dilutions of ascorbic acid (5-100 mmol/L). The purpose of this study was to analyse the impact of catalase, an important hydrogen peroxide-detoxifying enzyme, on the resistance of cancer cells to ascorbic acid mediated oxidative stress. Methods: Effective concentration (EC50) values, which indicate the concentration of ascorbic acid that reduced the number of viable cells by 50%, were detected with the crystal violet assay. The level of intracellular catalase protein and enzyme activity was determined. Expression of catalase was silenced by catalase-specific short hairpin RNA (sh-RNA) in BT-20 breast carcinoma cells. Oxidative cell stress induced apoptosis was measured by a caspase luminescent assay. Results: The tested human cancer cell lines demonstrated obvious differences in their resistance to ascorbic acid mediated oxidative cell stress. Forty-five percent of the cell lines had an EC50>20 mmol/L and fifty-five percent had an EC50<20 mmol/L. With an EC50 of 2.6–5.5 mmol/L, glioblastoma cells were the most susceptible cancer cell lines analysed in this study. A correlation between catalase activity and the susceptibility to ascorbic acid was observed. To study the possible protective role of catalase on the resistance of cancer cells to oxidative cell stress, the expression of catalase in the breast carcinoma cell line BT-20, which cells were highly resistant to the exposure to ascorbic acid (EC50: 94,9 mmol/L), was silenced with specific sh-RNA. The effect was that catalase-silenced BT-20 cells (BT-20 KD-CAT) became more susceptible to high concentrations of ascorbic acid (50 and 100 mmol/L). Conclusions: Fifty-five percent of the human cancer cell lines tested were unable to protect themselves against oxidative stress mediated by ascorbic acid induced hydrogen peroxide production. The antioxidative enzyme catalase is important to protect cancer cells against cytotoxic hydrogen peroxide. Silenced catalase expression increased the susceptibility of the formerly resistant cancer cell line BT-20 to oxidative stress.
Background: In higher plants, a diverse array of developmental and growth-related processes is regulated by the plant hormone auxin. Recent publications have proposed that besides the well-characterized Auxin Response Factors (ARFs) that bind Auxin Response Elements (AuxREs), also members of the bZIP- and MYB-transcription factor (TF) families participate in transcriptional control of auxin-regulated genes via bZIP Response Elements (ZREs) or Myb Response Elements (MREs), respectively. Results: Applying a novel bioinformatic algorithm, we demonstrate on a genome-wide scale that singular motifs or composite modules of AuxREs, ZREs, MREs but also of MYC2 related elements are significantly enriched in promoters of auxin-inducible genes. Despite considerable, species-specific differences in the genome structure in terms of the GC content, this enrichment is generally conserved in dicot (Arabidopsis thaliana) and monocot (Oryza sativa) model plants. Moreover, an enrichment of defined composite modules has been observed in selected auxin-related gene families. Consistently, a bipartite module, which encompasses a bZIP-associated G-box Related Element (GRE) and an AuxRE motif, has been found to be highly enriched. Making use of transient reporter studies in protoplasts, these findings were experimentally confirmed, demonstrating that GREs functionally interact with AuxREs in regulating auxin-mediated transcription. Conclusions: Using genome-wide bioinformatic analyses, evolutionary conserved motifs have been defined which potentially function as AuxRE-dependent coupling elements to establish auxin-specific expression patterns. Based on these findings, experimental approaches can be designed to broaden our understanding of combinatorial, auxin-controlled gene regulation.
In this PhD thesis, the fingerprints of geometry and topology on low dimensional mesoscopic systems are investigated. In particular, holographic non-equilibrium transport properties of the quantum spin Hall phase, a two dimensional time reversal symmetric bulk insulating phase featuring one dimensional gapless helical edge modes are studied. In these metallic helical edge states, the spin and the direction of motion of the charge carriers are locked to each other and counter-propagating states at the same energy are conjugated by time reversal symmetry. This phenomenology entails a so called topological protection against elastic single particle backscattering by time reversal symmetry. We investigate the limitations of this topological protection by studying the influence of inelastic processes as induced by the interplay of phonons and extrinsic spin orbit interaction and by taking into account multi electron processes due to electron-electron interaction, respectively. Furthermore, we propose possible spintronics applications that rely on a spin charge duality that is uniquely associated with the quantum spin Hall phase. This duality is present in the composite system of two helical edge states with opposite helicity as realized on the two opposite edges of a quantum spin Hall sample with ribbon geometry. More conceptually speaking, the quantum spin Hall phase is the first experimentally realized example of a symmetry protected topological state of matter, a non-interacting insulating band structure which preserves an anti-unitary symmetry and is topologically distinct from a trivial insulator in the same symmetry class with totally localized and hence independent atomic orbitals. In the first part of this thesis, the reader is provided with a fairly self-contained introduction into the theoretical concepts underlying the timely research field of topological states of matter. In this context, the topological invariants characterizing these novel states are viewed as global analogues of the geometric phase associated with a cyclic adiabatic evolution. Whereas the detailed discussion of the topological invariants is necessary to gain deeper insight into the nature of the quantum spin Hall effect and related physical phenomena, the non-Abelian version of the local geometric phase is employed in a proposal for holonomic quantum computing with spin qubits in quantum dots.
Non–Small-Cell Lung Cancer (NSCLC) is the most frequent human lung cancer and a major cause of death due to its high rate of metastasis1. These facts emphasize the urgent need for the investigation of new targets for anti-metastatic therapy. Up to now a number of genes and gene products have been identified that positively or negatively affect the probability of established human tumor cell lines to metastasize2. Previously, together with the group of Professor Ulf Rapp, we have described the first conditional mouse model for metastasis of NSCLC and identified a gene, c-MYC, that is able to orchestrate all steps of this process. We could identify potential markers for detection of metastasis and highlighted GATA4, which is exclusively expressed during lung development, as a target for future therapeutic intervention2. However, the mechanism underlying this metastatic conversion remained to be identified, and was therefore the focus of the present work. Here, GATA4 is identified as a MYC target in the development of metastasis and epigenetic alterations at the GATA4 promoter level are shown after MYC expression in NSCLC in vivo and in vitro. Such alterations include site-specific demethylation that accompanies the displacement of the MYC-associated zinc finger protein (MAZ) from the GATA4 promoter, which leads to GATA4 expression. Histone modification analysis of the GATA4 promoter revealed a switch from repressive histone marks to active histone marks after MYC binding, which corresponds to active GATA4 expression. This work identifies a novel epigenetic mechanism by which MYC activates GATA4 leading to metastasis in NSCLC, suggesting novel potential targets for the development of anti-metastatic therapy.
In 1999, a tragic catastrophe occurred in the Mont Blanc Tunnel, one of the most important transalpine road tunnels. Twenty-seven of the victims never left their vehicles as a result of which they were trapped in smoke and suffocated (Beard & Carvel, 2005). Immediate evacuation is crucial in tunnel fires, but still many tunnel users stay passive. During emergency situations people strongly influence each other’s behavior (e.g. Nilsson & Johansson, 2009a). So far, only few empirical experimental studies investigated the interaction of individuals during emergencies. Recent developments of advanced immersive virtual worlds, allow simulating emergency situations which makes analogue studies possible. In the present dissertation project, theoretical aspects of human behavior and SI in emergencies are addressed (Chapter 1). The question of Social Influence in emergency situations is investigated in five simulation studies during different relevant stages of the evacuation process from a simulated road tunnel fire (Chapter 2). In the last part, the results are discussed and criticized (Chapter 3). Using a virtual reality (VR) road tunnel scenario, study 1 (pilot study) and 2 investigated the effect of information about adequate behavior in tunnel emergencies as well as Social Influence (SI) on drivers’ behavior. Based on a classic study of Darley and Latané (1968) on bystander inhibition, the effect of passive bystanders on self-evacuation was analyzed. Sixty participants were confronted with an accident and smoke in a road tunnel. The presence of bystanders and information status was manipulated and consequently, participants were randomly assigned into four different groups. Informed participants read a brochure containing relevant information about safety behavior in emergency situations prior to the tunnel drives. In the bystander conditions, passive bystanders were situated in a car in front of the emergency situation. Participants who had received relevant information left the car more frequently than the other participants. Neither significant effect of bystanders nor interaction with information status on the participants’ behavior was observed. Study 3 (pilot study) examined a possible alternative explanation for weak SI in VR. Based on the Threshold Theory of Social Influence (Blascovich, 2002b) and the work of Guadagno et al. (2007), the perception of virtual humans as an avatar (a virtual representation of a real human being) or as an agent (a computer-controlled animated character) was manipulated. Subsequently, 32 participants experienced an accident similar to the one in study 1. However, they were co-drivers and a virtual agent (VA) was the driver. Participants reacted differently in avatar and agent condition. Consequently, the manipulation of the avatar condition was implemented in study 4. In study 4, SI within the vehicle was investigated, as drivers are mostly not alone in their car. In a tunnel scenario similar to the first study, 34 participants were confronted with an emergency situation either as drivers or co-drivers. In the driver group, participants drove themselves and a VA was sitting on the passenger seat. Correspondently, participants in the co-driver group were seated on the passenger seat and the VA drove the vehicle on a pre-recorded path. Like in study 1, the tunnel was blocked by an accident and smoke was coming from the accident in one drive. The VA initially stayed inactive after stopping the vehicle but started to evacuate after ca. 30 seconds. About one third of the sample left the vehicle during the situation. There were no significant differences between drivers and co-drivers regarding the frequency of leaving the vehicle. Co-drivers waited significantly longer than drivers before leaving the vehicle. Study 5 looked at the pre-movement and movement phase of the evacuation process. Forty participants were repeatedly confronted with an emergency situation in a virtual road tunnel filled with smoke. Four different experimental conditions systematically varied the presence and behavior of a VA. In all but one conditions a VA was present. Across all conditions at least 60% of the participants went to the emergency exit. If the VA went to the emergency exit, the ratio increased to 75%. If the VA went in the opposite direction of the exit, however, only 61% went there. If participants were confronted with a passive VA, they needed significantly longer until they started moving and reached the emergency exit. The main and most important finding across all studies is that SI is relevant for self-evacuation, but the degree of SI varies across the phases of evacuation and situation. In addition to the core findings, relevant theoretical and methodological questions regarding the general usefulness and limitations of VR as a research tool are discussed. Finally, a short summary and outlook on possible future studies is presented.
Oncolytic viruses refer to those that are able to eliminate malignancies by direct targeting and lysis of cancer cells, leaving non-cancerous tissues unharmed. Several oncolytic viruses including adenovirus strains, canine distemper virus and vaccinia virus strains have been used for canine cancer therapy in preclinical studies. However, in contrast to human studies, clinical trials with oncolytic viruses for canine cancer patients have not been reported. An ‘ideal’ virus has yet to be identified. This review is focused on the prospective use of oncolytic viruses in the treatment of canine tumors - a knowledge that will undoubtedly contribute to the development of oncolytic viral agents for canine cancer therapy in the future.
Purpose: Preclinical experiments on large animals are indispensable for evaluating the effectiveness of diabetes therapies. Miniature swine are well suited for such studies due to their physiological and pathophysiological responses. Methods: We compare two methods for inducing diabetes in Goettingen minipigs (GMP), in five with the beta cell toxin streptozotocin (STZ) and in five other GMP by total pancreatectomy (PE). Glucose homeostasis was assessed with the intravenous glucose-tolerance test (IVGTT) and continual monitoring of interstitial glucose levels. At conclusion of the observation period, the pancreata were examined histologically. Three non-diabetic GMP served as control group. Results: The IVGTT revealed markedly diabetic profiles in both GMP groups. STZ-GMP were found to harbor residual C-peptides and scattered insulin-positive cells in the pancreas. PE-GMP survived the total pancreatectomy only with intensive postoperative care. Conclusions: Although both methods reliably induced diabetes in GMP, the PE-GMP clearly had more health problems and required a greater expenditure of time and resources. The PE-GMP model, however, was better at eliminating endogenous insulin and C-peptide than the STZ-GMP model.
Background: The objective of this study was to validate physical activity questionnaires for cystic fibrosis (CF) against accelerometry and cycle ergometry. Methods: 41 patients with CF (12-42 years) completed the Habitual Activity Estimation Scale (HAES), the 7-Day Physical Activity Recall questionnaire (7D-PAR) and the Lipid Research Clinics questionnaire (LRC) and performed an incremental exercise test according to the Godfrey protocol up to volitional fatigue. Time spent in moderate and vigorous physical activity (MVPA) assessed objectively by accelerometry was related to the time spent in the respective activity categories by correlation analyses and calculating intraclass correlation coefficients (ICC). Furthermore, the results of the exercise test were correlated with the results of the questionnaires. Results: Time spent in the categories ‘hard’,’very hard’ and ‘hard & very hard’ of the 7D-PAR (0.41 < r < 0.56) and ‘active’ (r = 0.33) of the HAES correlated significantly with MVPA. The activity levels of the LRC were not related to objectively determined physical activity. Significant ICCs were only observed between the 7D-PAR activitiy categories and MVPA (ICC = 0.40-0.44). Only the LRC showed moderate correlations with the exercise test (Wmax: r = 0.46, p = 0.002; VO2peak: r = 0.32, p = 0.041). Conclusions: In conclusion, the activity categories ‘hard’ and ‘very hard’ of the 7D-PAR best reflected objectively measured MVPA. Since the association was at most moderate, the 7D-PAR may be selected to describe physical activity within a population. None of the evaluated questionnaires was able to generate valid physical activity data exercise performance data at the individual level. Neither did any of the questionnaires provide a valid assessment of aerobic fitness on an invidual level.
A metacommunity approach will be a useful framework to assess and predict changes in biodiversity in spatially structured landscapes and changing environments. However, the relationship between two core elements of metacommunity dynamics, dispersal and species interaction are not well understood. Most theoretical studies on dispersal evolution assume that target species are in isolation and do not interact with other species although the species interactions and community structure should have strong interdependence with dispersal. On the one hand, a species interaction can change the cost and benefit structure of dispersing in relation to non-dispersing individuals. On the other hand, with dispersal, an individual can follow respectively avoid species partners. Moreover, it is also important to explore the interdependence between dispersal and species interaction with spatial and temporal heterogeneity of environment because it would allow us to gain more understanding about responses of community to disturbances such as habitat destruction or global climate change, and this aspect is up to now not well-studied. In this thesis, I focus on the interactive and evolutionary feedback effects between dispersal and various types of interspecific interactions in different environmental settings. More specifically, I contrast dispersal evolution in scenarios with different types of interactions (chapter 2), explore the concurrent evolution of dispersal and habitat niche width (specialization) in spatial heterogeneous landscape (chapter 3) and consider (potential) multidimensional evolutionary responses under climate change (chapter 4). Moreover, I investigate consequences of different dispersal probability and group tolerance on group formation respectively group composition and the coexistence of ‘marker types’ (chapter 5). For all studies, I utilize individual-based models of single or multiple species within spatially explicit (grid-based) landscapes. In chapter 5, I also use an analytical model in addition to an individual-based model to predict phenomenon in group recognition and group formation. ...
Background: The European Centres of Reference Network for Cystic Fibrosis (ECORN-CF) established an Internet forum which provides the opportunity for CF patients and other interested people to ask experts questions about CF in their mother language. The objectives of this study were to: 1) develop a detailed quality assessment tool to analyze quality of expert answers, 2) evaluate the intra- and inter-rater agreement of this tool, and 3) explore changes in the quality of expert answers over the time frame of the project. Methods: The quality assessment tool was developed by an expert panel. Five experts within the ECORN-CF project used the quality assessment tool to analyze the quality of 108 expert answers published on ECORN-CF from six language zones. 25 expert answers were scored at two time points, one year apart. Quality of answers was also assessed at an early and later period of the project. Individual rater scores and group mean scores were analyzed for each expert answer. Results: A scoring system and training manual were developed analyzing two quality categories of answers: content and formal quality. For content quality, the grades based on group mean scores for all raters showed substantial agreement between two time points, however this was not the case for the grades based on individual rater scores. For formal quality the grades based on group mean scores showed only slight agreement between two time points and there was also poor agreement between time points for the individual grades. The inter-rater agreement for content quality was fair (mean kappa value 0.232 ± 0.036, p < 0.001) while only slight agreement was observed for the grades of the formal quality (mean kappa value 0.105 ± 0.024, p < 0.001). The quality of expert answers was rated high (four language zones) or satisfactory (two language zones) and did not change over time. Conclusions: The quality assessment tool described in this study was feasible and reliable when content quality was assessed by a group of raters. Within ECORN-CF, the tool will help ensure that CF patients all over Europe have equal possibility of access to high quality expert advice on their illness.
Nephrogenic Systemic Fibrosis is a rare condition appearing only in patients with severe renal impairment or failure and presents with dermal lesions and involvement of internal organs. Although many cases are mild, an estimated 5 % have a progressive debilitating course. To date, there is no known effective treatment thus stressing the necessity of ample prevention measures. An association with the use of Gadolinium based contrast agents (GBCA) makes Nephrogenic Systemic Fibrosis a potential side effect of contrast enhanced magnetic resonance imaging and offers the opportunity for prevention by limiting use of gadolinium based contrast agents in renal failure patients. In itself toxic, Gadolinium is embedded into chelates that allow its safe use as a contrast agent. One NSF theory is that Gadolinium chelates distribute into the extracellular fluid compartment and set Gadolinium ions free, depending on multiple factors among which the duration of chelates exposure is directly related to the renal function. Major medical societies both in Europe and in North America have developed guidelines for the usage of GBCA. Since the establishment of these guidelines and the increased general awareness of this condition, the occurrence of NSF has been nearly eliminated. Giving an overview over the current knowledge of NSF pathobiochemistry, pathogenesis and treatment options this review focuses on the guidelines of the European Medicines Agency, the European Society of Urogenital Radiology, the FDA and the American College of Radiology from 2008 up to 2011 and the transfer of this knowledge into every day practice.
Biallelic mutations in MCPH1 cause primary microcephaly (MCPH) with the cellular phenotype of defective chromosome condensation. MCPH1 encodes a multifunctional protein that notably is involved in brain development, regulation of chromosome condensation, and DNA damage response. In the present studies, we detected that MCPH1 encodes several distinct transcripts, including two major forms: full-length MCPH1 (MCPH1-FL) and a second transcript lacking the six 39 exons (MCPH1De9–14). Both variants show comparable tissue-specific expression patterns, demonstrate nuclear localization that is mediated independently via separate NLS motifs, and are more abundant in certain fetal than adult organs. In addition, the expression of either isoform complements the chromosome condensation defect found in genetically MCPH1-deficient or MCPH1 siRNA-depleted cells, demonstrating a redundancy of both MCPH1 isoforms for the regulation of chromosome condensation. Strikingly however, both transcripts are regulated antagonistically during cell-cycle progression and there are functional differences between the isoforms with regard to the DNA damage response; MCPH1-FL localizes to phosphorylated H2AX repair foci following ionizing irradiation, while MCPH1De9–14 was evenly distributed in the nucleus. In summary, our results demonstrate here that MCPH1 encodes different isoforms that are differentially regulated at the transcript level and have different functions at the protein level.
This work takes a close look at several quite different research areas related to the design of networked embedded sensor/actuator systems. The variety of the topics illustrates the potential complexity of current sensor network applications; especially when enriched with actuators for proactivity and environmental interaction. Besides their conception, development, installation and long-term operation, we'll mainly focus on more "low-level" aspects: Compositional hardware and software design, task cooperation and collaboration, memory management, and real-time operation will be addressed from a local node perspective. In contrast, inter-node synchronization, communication, as well as sensor data acquisition, aggregation, and fusion will be discussed from a rather global network view. The diversity in the concepts was intentionally accepted to finally facilitate the reliable implementation of truly complex systems. In particular, these should go beyond the usual "sense and transmit of sensor data", but show how powerful today's networked sensor/actuator systems can be despite of their low computational performance and constrained hardware: If their resources are only coordinated efficiently!
A general theory for all classes of unconventional superconductors is still one of the unsolved key issues in condensed-matter physics. Actually, it is not yet fully settled if there is a common underlying pairing mechanism. Instead, it might be possible that several distinct sources for unconventional (not phonon-mediated) superconductivity have to be considered, or an electron-phonon interaction is not negligible. The focus of this thesis is on the most probable mechanism for the formation of Cooper pairs in unconventional superconductors, namely a strictly electronic one where spin fluctuations are the mediators. Studying different superconductors in this thesis, the emphasis is put on material-independent features of the pairing mechanism. In addition, the investigation of the phase diagrams enables a view on the vicinity of superconductivity. Thus, it is possible to clarify which competing quantum fluctuations enhance or weaken the propensity for a superconducting state. The broad range of superconducting materials requires the use of more than one numerical technique to study an appropriate microscopic description. This is not a problem but a big advantage because this facilitates the approach-independent description of common underlying physics. For this evaluation, the strongly correlated cuprates are simulated with the variational cluster approach. Especially the question of a pairing glue is taken into consideration. Furthermore, it is possible to distinguish between retarded and non-retarded contributions to the gap function. The cuprates are confronted with the cobaltate NaCoO and graphene. These weakly correlated materials are investigated with the functional renormalization group (fRG) and reveal a comprehensive phase diagram, including a d+id-wave superconductivity, which breaks time-reversal symmetry. The corresponding gap function is nodeless, but for NaCoO, it features a doping-dependent anisotropy. In addition, some general considerations on the kagome lattice are completing the discussion, where a sublattice interference dramatically affects the Fermi-surface instabilities, suppressing the usual spin-density wave and d+id-wave superconductivity. Thereby, some different fascinating charge and bond orders as well as a nematic are observable. In short, this thesis provides an insight to distinct classes of unconventional superconductors with appropriate simulation techniques. This facilitates to separate the material specific properties from the universal ones.
This thesis is devoted to numerical verification of optimality conditions for non-convex optimal control problems. In the first part, we are concerned with a-posteriori verification of sufficient optimality conditions. It is a common knowledge that verification of such conditions for general non-convex PDE-constrained optimization problems is very challenging. We propose a method to verify second-order sufficient conditions for a general class of optimal control problem. If the proposed verification method confirms the fulfillment of the sufficient condition then a-posteriori error estimates can be computed. A special ingredient of our method is an error analysis for the Hessian of the underlying optimization problem. We derive conditions under which positive definiteness of the Hessian of the discrete problem implies positive definiteness of the Hessian of the continuous problem. The results are complemented with numerical experiments. In the second part, we investigate adaptive methods for optimal control problems with finitely many control parameters. We analyze a-posteriori error estimates based on verification of second-order sufficient optimality conditions using the method developed in the first part. Reliability and efficiency of the error estimator are shown. We illustrate through numerical experiments, the use of the estimator in guiding adaptive mesh refinement.
Imprinted genes play important roles in brain development. As the neural developmental capabilities of human parthenogenetic embryonic stem cells (hpESCs) with only a maternal genome were not assessed in great detail, hence here the potential of hpESCs to differentiate into various neural subtypes was determined. In addition DNA methylation and expression of imprinted genes upon neural differentiation was also investigated. The results demonstrated that hpESC-derived neural stem cells (hpNSCs) showed expression of NSC markers Sox1, Nestin, Pax6, and Musashi1 (MS1), the silencing of pluripotency genes (Oct4, Nanog) and the absence of activation of neural crest (Snai2, FoxD3) and mesodermal (Acta1) markers. Moreover, confocal images of hpNSC cultures exhibited ubiquitous expression of NSC markers Nestin, Sox1, Sox2 and Vimentin. Differentiating hpNSCs for 28 days generated neural subtypes with neural cell type-specific morphology and expression of neuronal and glial markers, including Tuj1, NeuN, Map2, GFAP, O4, Tau, Synapsin1 and GABA. hpNSCs also responded to region-specific differentiation signals and differentiated into regional phenotypes such as midbrain dopaminergic- and motoneuron-type cells. hpESC-derived neurons showed typical neuronal Na+/K+ currents in voltage clamp mode, elicited multiple action potentials with a maximum frequency of 30 Hz. Cell depicted a typical neuron-like current pattern that responded to selective pharmacological blockers of sodium (tetrodotoxin) and potassium (tetraethylammonium) channels. Furthermore, in hpESCs and hpNSCs the majority of CpGs of the differentially methylated regions (DMRs) KvDMR1 were methylated whereas DMR1 (H19/Igf2 locus) showed partial or complete absence of CpG methylation, which is consistent with a parthenogenetic (PG) origin. Upon differentiation parent-of-origin-specific gene expression was maintained in hpESCs and hpNSCs as demonstrated by imprinted gene expression analyses. Together this shows that despite the lack of a paternal genome, hpNSCs are proficient in differentiating into glial- and neuron-type cells, which exhibit electrical activity similar to newly formed neurons. Moreover, maternal-specific gene expression and imprinting-specific DNA-methylation are largely maintained upon neural differentiation. hpESCs are a means to generate histocompatible and disease allele-free ESCs. Additionally, hpESCs are a unique model to study the influence of imprinting on neurogenesis.
This thesis presents results covering several topics in correlated many fermion systems. A Monte Carlo technique (CT-INT) that has been implemented, used and extended by the author is discussed in great detail in chapter 3. The following chapter discusses how CT-INT can be used to calculate the two particle Green’s function and explains how exact frequency summations can be obtained. A benchmark against exact diagonalization is presented. The link to the dynamical cluster approximation is made in the end of chapter 4, where these techniques are of immense importance. In chapter 5 an extensive CT-INT study of a strongly correlated Josephson junction is shown. In particular, the signature of the first order quantum phase transition between a Kondo and a local moment regime in the Josephson current is discussed. The connection to an experimental system is made with great care by developing a parameter extraction strategy. As a final result, we show that it is possible to reproduce experimental data from a numerically exact CT-INT model-calculation. The last topic is a study of graphene edge magnetism. We introduce a general effective model for the edge states, incorporating a complicated interaction Hamiltonian and perform an exact diagonalization study for different parameter regimes. This yields a strong argument for the importance of forbidden umklapp processes and of the strongly momentum dependent interaction vertex for the formation of edge magnetism. Additional fragments concerning the use of a Legendre polynomial basis for the representation of the two particle Green’s function, the analytic continuation of the self energy for the Anderson Kane Mele Model, as well as the generation of test data with a given covariance matrix are documented in the appendix. A final appendix provides some very important matrix identities that are used for the discussion of technical details of CT-INT.
Cutaneous leishmaniasis is endemic in tropical and subtropical regions of the world. Effective vaccination strategies are urgently needed because of the emergence of drug-resistant parasites and severe side effects of chemotherapy. The research group of Heidrun Moll previously established a DC-based vaccination strategy to induce complete and long-lasting immunity to experimental leishmaniasis using LmAg-loaded and CpG ODN-activated DC as a vaccine carrier. Prevention of tissue damages at the site of L. major inoculation can be achieved if the BALB/c mice were systemically given LmAg-loaded BMDC that had been exposed to CpG ODN. The interest in further exploring the role of IL-4 aroused as previous studies allowed establishing that IL-4 was involved in the redirection of the immune response towards a type 1 profile. Thus, wt BALB/c mice or DC-specific CD11ccreIL-4Rα-/lox BALB/c mice were given either wt or IL-4Rα-deficient LmAg-loaded BMDC exposed or not to CpG ODN prior to inoculation of 2 x 105 stationary phase L. major promastigotes into the BALB/c footpad. The results provide evidence that IL4/IL-4Rα-mediated signaling in the vaccinating DC is required to prevent tissue damages at the site of L. major inoculation, as properly conditioned wt DC but not IL-4Rα-deficient DC were able to confer resistance. Furthermore, uncontrolled L. major population size expansion was observed in the footpad and the footpad draining LN in CD11ccreIL-4Rα-/lox mice immunized with CpG ODN-exposed LmAg-loaded IL-4Rα-deficient DC, indicating the influence of IL-4R-mediated signaling in host DC to control parasite replication. In addition, no footpad damage was observed in BALB/c mice that were systemically immunized with LmAg-loaded wt DC doubly exposed to CpG ODN and recombinant IL-4. Discussing these findings allow the assumption that triggering the IL4/IL4Rα signaling pathway could be a precondition when designing vaccines aimed to prevent damaging processes in tissues hosting intracellular microorganisms.
This dissertation is divided into three studies by addressing the following constitutive research questions in the context of the biotechnology industry: (1) How do different types of inter-firm alliances influence a firm’s R&D activity? (2) How does an increasing number and diversity of alliances in a firm’s alliance portfolio affect its R&D activity? (3) What is the optimal balance between exploration and exploitation? (1) To answer these research questions the first main chapter analyzes the impact of different types of alliances on the R&D activities of successful firms in the biotechnology industry. Following the use of a new approach to measuring changes in research activities, the results show that alliances are used to specialize in a certain research field, rather than to enter a completely new market. This effect becomes smaller when the equity involvement of the partners in the alliance project increases. (2) The second main chapter analyzes the impact on innovation output of having heterogeneous partners in a biotechnology firm’s alliance portfolio. Previous literature has stressed that investment in the heterogeneity of partners in an alliance portfolio is more important than merely engaging in multiple collaborative agreements. The analysis of a unique panel dataset of 20 biotechnology firms and their 8,602 alliances suggests that engaging in many alliances generally has a positive influence on a firm’s innovation output. Furthermore, maintaining diverse alliance portfolios has an inverted U-shaped influence on a firm’s innovation output, as managerial costs and complexity levels become too high. (3) And the third main chapter investigates whether there is an optimal balance to be found between explorative and exploitative innovation strategies. Previous literature states that firms that are ambidextrous (i.e., able to focus on exploration and exploitation simultaneously) tend to be more successful. Using a unique panel dataset of 20 leading biotechnology firms and separating their explorative and exploitative research, the chapter suggests that firms seeking to increase their innovation output should avoid imbalances between their explorative and exploitative innovation strategies. Furthermore, an inverted U-shaped relationship between a firm’s relative research attention on exploration and its innovation output is found. This dissertation concludes with the results of the dissertation, combines the findings, gives managerial implications and proposes areas for potential further research.
The present cumulative dissertation comprises three neuroimaging studies using different techniques, functional tasks and experimental variables of diverse nature to investigate human prefrontal cortex (PFC) (dys)function as well as methodological aspects of functional near-infrared spectroscopy (fNIRS). (1) Both dopamine (DA) availability (“inverted U-model”) and excitatory versus inhibitory DA receptor stimulation (“dual-state theory”) have been linked to PFC processing and cognitive control function. Electroencephalography (EEG) was recorded during a Go/NoGo response inhibition task in 114 healthy controls and 181 adult patients with attention-deficit/hyperactivity disorder (ADHD). As a neural measure of prefrontal cognitive response control the anteriorization of the P300 centroid in NoGo- relative to Go-trials (NoGo anteriorization, NGA) was investigated for the impact of genetic polymorphisms modulating catechol-O-methyltransferase efficiency (COMT, Val158Met) in degrading prefrontal DA and inhibitory DA receptor D4 sensitivity (DRD4, 48bp VNTR). Single genes and ADHD diagnosis showed no significant impact on the NGA or behavioral measures. However, a significant COMT×DRD4 interaction was revealed as subjects with relatively increased D4-receptor function (DRD4: no 7R-alleles) displayed an “inverted U”-relationship between the NGA and increasing COMT-dependent DA levels, whereas subjects with decreased D4-sensitivity (7R) showed a U-relationship. This interaction was supported by 7R-allele dose-effects and also reflected by an impact on task behavior, i.e. intraindividual reaction time variability. Combining previous theories of PFC DA function, neural stability at intermediate DA levels may be accompanied by the risk of overly decreased neural flexibility if inhibitory DA receptor function is additionally decreased. The findings of COMT×DRD4 epistasis might help to disentangle the genetic basis of dopaminergic mechanisms underlying prefrontal (dys)function. (2) While progressive neurocognitive impairments are associated with aging and Alzheimer's disease (AD), cortical reorganization might delay difficulties in effortful word retrieval, which is one of the earliest cognitive signs of AD. Therefore, cortical hemodynamic responses were measured with fNIRS during phonological and semantic verbal fluency, and investigated in 325 non-demented, healthy subjects (age: 51-82 years). The predictive value of age, sex, verbal fluency performance and years of education for the cortical hemodynamics was assessed using multiple regression analyses. Age predicted bilaterally reduced inferior frontal junction (IFJ) and increased middle frontal and supramarginal gyri activity in both task conditions. Years of education as well as sex (IFJ activation in females > males) partly predicted opposite effects on activation compared to age, while task performance was not a significant predictor. All predictors showed small effect sizes (-.24 < β < .22). Middle frontal and supramarginal gyri activity may compensate for an aging-related decrease in IFJ recruitment during verbal fluency. The findings of aging-related (compensatory) cortical reorganization of verbal fluency processing might, in combination with other (risk) factors and using longitudinal observations, help to identify neurodegenerative processes of Alzheimer's disease, while individuals are still cognitively healthy. (3) Individual anatomical or systemic physiological sources of variance may hamper the interpretation of fNIRS signals as neural correlates of cortical functions and their association with individual personality traits. Using simultaneous fNIRS and functional magnetic resonance imaging (fMRI) of hemodynamic responses elicited by an intertemporal choice task in 20 healthy subjects, variability in crossmodal correlations and divergence in associations of the activation with trait "sensitivity to reward" (SR) was investigated. Moreover, an impact of interindividual anatomy and scalp fMRI signal fluctuations on fNIRS signals and activation-trait associations was studied. Both methods consistently detected activation within right inferior/middle frontal gyrus, while fNIRS-fMRI correlations showed wide variability between subjects. Up to 41% of fNIRS channel activation variance was explained by gray matter volume (simulated to be) traversed by near-infrared light, and up to 20% by scalp-cortex distance. Extracranial fMRI and fNIRS time series showed significant temporal correlations at the temple. Trait SR was negatively correlated with fMRI but not fNIRS activation elicited by immediate rewards of choice within right inferior/middle frontal gyrus. Higher trait SR increased the correlation between extracranial fMRI signal fluctuations and fNIRS signals, suggesting that task-evoked systemic arousal-effects might be trait-dependent. Task-related fNIRS signals might be impacted by regionally and individually weighted sources of anatomical and systemic physiological error variance. Traitactivation correlations might be affected or biased by systemic physiological arousal-effects, which should be accounted for in future fNIRS studies of interindividual differences.
This thesis concerned the design and examination of a scaffold for tissue engineering applications. The template for the presented scaffold came from nature itself: the intercellular space in tissues that provides structure and support to the cells of the respective tissue, known as extracellular matrix (ECM). Fibres are a predominant characteristic feature of ECM, providing adhesion sites for cell-matrix interactions. In this dissertation a fibrous mesh was generated using the electrospinning technique to mimic the fibrous structure of the ECM. Two base polymers were explored: a biodegradable polyester, poly(D,L-lactide-co-glycolide); and a functional PEG-based star polymer, NCO-sP(EO-stat-PO). This topic was described in three major parts: the first part was materials based, concerning the chemical design and characterisation of the polymer scaffolds; the focus was then shifted to the cellular response to this fibrous scaffold; and finally the in vivo performance of the material was preliminarily assessed. The first steps towards an electrospun mesh started with adjusting the spinning parameters for the generation of homogeneous fibres. As reported in Chapter 3 a suitable setup configuration was on the one hand comprised of a spinning solution that consisted of 28.5 w/v% PLGA RG 504 and 6 w/v% NCO-sP(EO-stat-PO) in 450 µL acetone, 50 µL DMSO and 10 µL of an aqueous trifluoroacetic acid solution. On the other hand an ideal spinning behaviour was achieved at process parameters such as a flow rate of 0.5 mL/h, spinneret to collector distance of 12-16 cm and a voltage of 13 kV. The NCO-sP(EO-stat-PO) containing fibres proved to be highly hydrophilic as the functional additive was present on the fibre surface. Furthermore, the fibres featured a bulk degradation pattern as a consequence of the proportion of PLGA. Besides the morphologic similarity to ECM fibres, the functionality of the electrospun fibres is also decisive for a successful ECM mimicry. In Chapter 4, the passive as well as active functionality of the fibres was investigated. The fibres were required to be protein repellent to prevent an unspecific cell adhesion. This was proven as even 6.5 % sP(EO-stat-PO) in the PLGA fibres reduced any unspecific protein adsorption of bovine serum albumin and foetal calf serum to less than 1 %. However, avidin based proteins attached to the fibres. This adhesion process was avoided by an additional fibre surface treatment with glycidol. The active functionalisation of NCO-sP(EO-stat-PO)/PLGA fibres was investigated with two fluorescent dyes and biocytin. A threefold, chemically orthogonal, fibre modification was achieved with these dyes. The chapters about the chemical and mechanical properties laid the basis for the in vitro chapters where a specific fibre functionalisation with peptides was conducted to analyse the cell adhesion and biochemical expressions. Beginning with fibroblasts in Chapter 5 the focus was on the specific cell adhesion on the electrospun fibres. While NCO-sP(EO-stat-PO)/PLGA fibres without peptides did not allow any adhesion of fibroblasts, a fibre modification with GRGDS (an adhesion mediating peptide sequence) induced the adhesion and spreading of human dermal fibroblasts on the fibrous scaffolds. The control sequence GRGES that has no adhesion mediating qualities did not lead to any cell adhesion as observed on fibres without modifications. While the experiments of Chapter 5 were a proof-of-concept, in Chapter 6 a possible application in cartilage tissue engineering was examined. Therefore, primary human chondrocytes were seeded on fibrous scaffolds with various peptide sequences. Though the chondrocytes exhibited high viability on all scaffolds, an active interaction of cells and fibres was only found for the decorin derived sequence CGKLER. Live-cell-imaging revealed both cell attachment and migration within CGKLER-modified meshes. As chondrocytes undergo a de-differentiation towards a fibroblast-like phenotype, the chondrogenic re-differentiation on these scaffolds was investigated in a long term cell culture experiment of 28 days. Therefore, the glycosaminoglycan production was analysed as well as the mRNA expression of genes coding for collagen I and II, aggrecan and proteoglycan 4. In general only low amounts of the chondrogenic markers were measured, suggesting no chondrogenic differentiation. For conclusive evidence follow-up experiments are required that support or reject the findings. The success of an implant for tissue engineering relies not only on the response of the targeted cell type but also on the immune reaction caused by leukocytes. Hence, Chapter 7 dealt with primary human macrophages and their behaviour and phenotype on two-dimensional (2D) surfaces compared to three-dimensional (3D) fibrous substrates. It was found that the general non-adhesiveness of NCO-sP(EO-stat-PO) surfaces and fibres does not apply to macrophages. The cells aligned along the fibres on surfaces or resided in the pores of the meshes. On flat surfaces without 3D structure the macrophages showed a retarded adhesion kinetic accompanied with a high migratory activity indicating their search for a topographical feature to adhere to. Moreover, a detailed investigation of cell surface markers and chemokine signalling revealed that macrophages on 2D surfaces exhibited surface markers indicating a healing phenotype while the chemokine release suggested a pro-inflammatory phenotype. Interestingly, the opposite situation was found on 3D fibrous substrates with pro-inflammatory surface markers and pro-angiogenic cytokine release. As the immune response largely depends on cellular communication, it was concluded that the NCO-sP(EO-stat-PO)/PLGA fibres induce an adequate immune response with promising prospects to be used in a scaffold for tissue engineering. The final chapter of this thesis reports on a first in vivo study conducted with the presented electrospun fibres. Here, the fibres were combined with a polypropylene mesh for the treatment of diaphragmatic hernias in a rabbit model. Two scaffold series were described that differed in the overall surface morphology: while the fibres of Series A were incorporated into a thick gel of NCO-sP(EO-stat-PO), the scaffolds of Series B featured only a thin hydrogel layer so that the overall fibrous structure could be retained. After four months in vivo the treated defects of the diaphragm were significantly smaller and filled mainly with scar tissue. Thick granulomas occurred on scaffolds of Series A while the implants of Series B did not induce any granuloma formation. As a consequence of the generally positive outcome of this study, the constructs were enhanced with a drug release system in a follow-up project. The incorporated drug was the MMP-inhibitor Ilomastat which is intended to reduce the formation of scar tissue. In conclusion, the simple and straight forward fabrication, the threefold functionalisation possibility and general versatile applicability makes the meshes of NCO-sP(EO-stat-PO)/PLGA fibres a promising candidate to be applied in tissue engineering scaffolds in the future.
The visualization of energy functions is based on the possibility of separating different degrees of freedom. The most important one is the Born-Oppenheimer-approximation, which separates nucleus and electron movements. This allows the illustration of the potential energy as a function of the nuclei coordinates. Minima of the surface correspond to stable points like isomers or conformers. They are important for predicting the stability or thermodynamical of a system. Stationary points of first order correspond to transition points. They describe phase transitions, chemical reaction, or conformational changes. Furthermore, the partition function connects the potential hypersurface to the free energy of the system. The aim of the present work is the development and application of new approaches for the efficient exploration of multidimensional hypersurfaces. Initially, the Conformational Analysis and Search Tool (CAST) program was developed to create a basis for the new methods and algorithms. The development of CAST in object oriented C++ included, among other things, the implementation of a force field, different interfaces to external programs, analysis tools, and optimization libraries. Descriptions of an energy landscape require knowledge about the most stable minima. The Gradient Only Tabu Search (GOTS) has been shown to be very efficient in the optimization of mathematical test functions. Therefore, GOTS was taken as a starting point. Tabu-Search is based on the steepest descent - modest ascent strategy. The steepest descent is used for finding local minima, while the modest ascent is taken for leaving a minimum quickly. Furthermore, Tabu-Search is combined with an adaptive memory design to avoid cycling or returning. The highly accurate exploration of the phase space by Tabu-Search is often too expensive for complex optimization problems. Therefore, an algorithm for diversification of the search is required. After exploration of the proximity of the search space, the algorithm would guide the search to new and hopefully promising parts of the phase space. First application of GOTS to conformational search revealed weaknesses in the diversification search and the modest ascent part. On the one hand, the original methodology for diversification is insufficiently diverse. The algorithm is considerably improved by combining the more local GOTS with the wider searching Basin Hopping (BH) approach. The second weak point is a too inaccurate and inefficient modest ascent strategy. Analysis of common transition state search algorithms lead to the adaption of the Dimer-method to the Tabu-Search approach. The Dimer-method only requires the first derivatives for locating the closest transition state. For conformational search, dihedral angles are usually the most flexible degrees of freedom. Therefore, only those are used in the Dimer-method for leaving a local minimum. Furthermore, the exact localization of the reaction pathway and the transition state is not necessary as the local minimum position should only be departed as fast as possible. This allows for larger step sizes during the Dimer-search. In the following optimization step, all coordinates are relaxed to remove possible strains in the system. The new Tabu-Search method with Dimer-search delivers more and improved minima. Furthermore, the approach is faster for larger systems. For a system with approximately 1200 atoms, an acceleration of 40 was measured. The new approach was compared to Molecular Dynamics with optimization (MD), Simulated Annealing (SA), and BH with the help of conformational search problems of bio-organic systems. In all cases, a better performance was found. A comparison to the Monte Carlo Multiple Minima/Low Mode Sampling (MCMM/LM) method proved the outstanding performance of the new Tabu-Search approach. The solvation of the chignolin protein further revealed the possibility of uncovering discrepancies between the employed theoretical model and the experimental starting structure. Ligand optimization for improvement of x-ray structures was one further new application field. Besides the global optimization, the search for transition states and reaction pathways is also of paramount importance. These points describe different transitions of stable states. Therefore, a new approach for the exploration of such cases was developed. The new approach is based on a global minimization of a hyperplane being perpendicular to the reaction coordinate. Minima of this reduced phase space belong to traces of transition states between reactant and product states on the unchanged hypersurface. Optimization to the closest transition state using the Dimer-method delivers paths lying between the initial and the final state. An iterative approach finally yields complex reaction pathways with many intermediate local minima. The PathOpt algorithm was tested by means of rearrangements of argon clusters showing very promising results.
Despite intense research efforts, a safe and effective HIV-1/AIDS vaccine still remains far away. HIV-1 escapes the humoral immune response through various mechanisms and until now, only a few nAbs have been identified. A promising strategy to identify new epitopes that may elicit such nAbs is to dissect and analyze the humoral immune response of sera with broadly reactive nAbs. The identified epitopes recognized by these antibodies might then be incorporated into a vaccine to elicit similar nAbs and thus provide protection from HIV-1 infection. Using random peptide phage display libraries, the Ruprecht laboratory has identified the epitopes recognized by polyclonal antibodies of a rhesus monkey with high-titer, broadly reactive nAbs that had been induced after infection with a SHIV encoding env of a recently transmitted HIV-1 clade C. The laboratory analyzed phage peptide inserts for conformational and linear homology with computational assistance. Several of the identified peptides mimicked domains of the original HIV-1 clade Env, such as conformational V3 loop epitopes and the conserved linear region of the gp120 C-terminus. As part of this work, these mimotopes were analyzed for cross-reactivity with other sera obtained from rhesus monkeys with nAbs and antibody recognition was shown for several mimotopes, particularly those representing the V3 loop. In addition, these mimotopes were incorporated into a novel DNA prime/phage boost strategy to analyze the immunogenicity of such phage-displayed peptides. Mice were primed only once with HIV-1 clade C gp160 DNA and subsequently boosted with mixtures of recombinant phages. This strategy was designed to focus the humoral immune response on a few, selected Env epitopes (immunofocusing) and induced HIV-1 clade C gp160 binding antibodies and cross-clade nAbs. Furthermore, the C-terminus of gp120, a conserved HIV Env region, was linked to the induction of nAbs for the first time. The identification of such conserved antigens may lead to the development of a vaccine that is capable of inducing broadly reactive nAbs that might confer protection form HIV-1 infection.
The aim of the present piece of work was to give information about the frequency of psychoactive substances within the German driver population and to identify preventive and promotive circumstances of drug driving. Furthermore, a new methodological approach to gather and link data about the consumption of psychoactive substances and the mobility of drug users is shown. Traditionally, roadside surveys are conducted to estimate the prevalence of drug driving within a population. By the present study, an alternative method is introduced. In total, 195 drug users (mainly cannabis users) and 100 controls out of the normal driving population were queried for four weeks about their driving and drug consumption behaviour by a questionnaire that was deployed on smartphones. The prevalences of drug driving within the sample were extrapolated into representative values. Because the subjects reported all daily activities within the study-period, it was also possible to describe situations in which the subjects decided against driving under influence. Besides, relevant previous experiences, attitudes, the approval of legal regulations, other traffic-specific parameters, social influences and personality variables were queried. So, individual factors that are associated with drug driving can be specified. The results are integrated in a model that shows dependencies of different societal, behavioural and legal variables. They can serve as major input to the discussion on drug driving and can be of practical use for rehabilitation and prevention purposes. The results can be summarised as follows: - Compared to the results of a German roadside survey from 1994, the prevalences that are found within the present study seem pretty low. This finding is discussed and possible explanations for the described trend are lined out. Furthermore, the prevalences that were calculated in the present study are compared to current data from other European countries. - The results show differences between users and controls on several variables. The differences indicate that substance use impacts on the structuring of day-to-day life. Overall, the controls’ days proceed more along a daily working routine than the users’ (e.g. less mobility at night, more mobility at rush-hour, alcohol consumption mainly at nights out). - The individual extent to which drugs are consumed differs dependent on daytime, day of the week and kind of substance. Of course, these dependencies also influence the occurrence of drug driving. Other factors of influence on drug driving are the distance, the availability of alternative modes of transport as well as the presence of female companions. - Not everybody who uses drugs drives under the influence of drugs. A striking predictor for frequent drug driving and highly intoxicated driving is a high consumption, associated with risky consumption patterns and a low subjective feeling of impairment after drug consumption. - The subjects’ attitudes towards drug driving and their beliefs about social norms largely go in line with the behaviour they engage in. Drug users have rather liberal attitudes towards drug use and driving under influence. - A possible deterrence effect of sanctioning and police enforcement and its dependence on the acceptance and awareness of the measures is delineated. - Only small effects are found when examining the objective impairment that is caused by drug use by a computer-based test battery. This result is critically discussed with regards to the operationalisation of the study groups. - Except from driving under influence, there is no evidence to suggest that DUI offenders also show problematic behaviour according to other traffic-related measures. - Parents and peers may have an influence as role models on the development of problematic behaviour. A good relationship between parents and children may have a positive impact on the development of conventional values and behaviour. - Drug use is associated with some crucial personality dimensions and drugs are often used to solve personal problems. A less precise but similar difference was found for users who commit many drives under influence compared to users who never or only sometimes drive under influence. Moreover, users marginally more often have psychological problems compared to controls. Finally, the strengths and weaknesses of the new methodological approach of data collection are discussed as well as the challenges that are faced when implementing it. All in all, it has proved to be a promising method and should serve as a standard to which future studies should aspire.
This thesis deals with nanoelectromechanical systems in the quantum regime. Nanoelectromechanical systems are systems where a mechanical degree of freedom of rather macroscopic size is coupled to an electronic degree of freedom. The mechanical degree of freedom can without any constraints be modeled as the fundamental mode of a harmonic oscillator. Due to their size and the energy scales involved in the setting, quantum mechanics plays an important role in their description. We investigate transport through such nanomechanical devices where our focus lies on the quantum regime. We use non-equilibrium methods to fully cover quantum effects in setups where the mechanical oscillator is part of a tunnel junction. In such setups, the mechanical motion influences the tunneling amplitude and thereby the transport properties through the device. The electronics in these setups can then be used to probe and characterize the mechanical oscillator through signatures in transport quantities such as the average current or the current noise. The interplay between the mechanical motion and other physical degrees of freedom can also be used to characterize these other degrees of freedom, i.e., the nanomechanical oscillator can be used as a detector. In this thesis, we will show that a nanomechanical oscillator can be used as a detector for rather exotic degrees of freedom, namely Majorana bound states which recently attracted great interest, theoretically as well as experimentally. Again, the quantum regime plays an essential role in this topic. One of the major manifestations of quantum mechanics is entanglement between two quantum systems. Entanglement of quantum systems with few (discrete) degrees of freedom is a well established and understood subject experimentally as well as theoretically. Here, we investigate quantum entanglement between two macroscopic continuous variable systems. We study different setups where it is possible to entangle two nanomechanical oscillators which are not directly coupled to each other. We conclude with reviewing the obtained results and discuss open questions and possible future developments on the quantum aspects of nanomechanical systems.
Dendritic cell-based vaccination is a well established technique for preventive and therapeutic instruction of the immune system where conservative vaccine formulations fail to cure or prevent diseases, respectively. Efficiency of this technique already was demonstrated in infectious diseases as well as for cancer in animal or human studies. Well controlled manipulation and antigen-loading of immature DC is most beneficial to this technique. But, time-consuming and cost-extensive procedures for preparation of DC precursors, expansion and stimulation of DC and inpatient administration are big disadvantages regarding vaccine development for pandemic infectious diseases that occur mainly in underdeveloped countries. Therefore vaccines are needed that are pathogen-tailored and able to induce equal immune responses as their DC-based vaccine models. For vaccination against Leishmania parasites such a DC-based vaccine is feasible and its efficacy to induce protective Th1-based immune responses was already demonstrated in several animal studies. But, one of our own studies indicated supportive activity of host cells exceeding the allocation of T cells to become activated by transferred DC. IL-12, an important cytokine for the induction of Th1-related immune responses, has to be produced by host cells. Therefore, the aim of this study was to investigate the mechanism of BMDC-based vaccination with regard to simplification of the vaccine formulation. Key questions that have been addressed are: Which cells process the information that is transferred by the injected DC and what are the key components of this information? Further more, it was looked at whether altered vaccine formulations are able to induce protective immunity and whether they share equal molecular mechanisms. The current paradigm of BMDC-based vaccination proposes direct interaction of transferred BMDC with host T cells. These BMDC have to be antigen-loaded for stimulation via antigen-peptide-MHC molecule-complexes and they have to be activated for proper co-stimulation of T cells. Here, this study demonstrates that neither activation for co-stimulation nor direct interaction with adequate MHC molecules is needed for the induction of protective immunity against infection with Leishmania-parasites. Disrupted antigen-loaded BMDC are able to induce protective immunity in BALB/c mice without pre-stimulation via CpG ODN. Beyond, if BMDC were used with a different MHC-background than recipient mice then the vaccine still would be efficient in terms of reduction of footpad swelling and parasite load in draining lymph nodes. Even more, DC-specific features are no key component that leads to protective immunity as vaccination with disrupted antigen-loaded MΦ shows equal properties than before mentioned vaccine formulations. Further more, it was found that host DC play a major role in transforming the incoming signal, received from transferred antigen-loaded DC, into Th1-related stimuli and Leishmania-antigen-specific T cell activation. Suspensions of disrupted antigen-loaded DC resemble a combination of laid off soluble molecules together with exosome-like vesicles that formed after disruption of membranes. Here it was shown that separation of the membranous and soluble fractions and subsequent transfer into BALB/c mice will lead to protection of these mice against infection with L. major promastigotes only if the membranous fraction is used as vaccine. More, this vaccine formulation takes advantage of easy storage at -80°C with no need of fresh production. This clearly demonstrates that the immunity-inducing principle of disrupted DC-based vaccination lies within the membrane enclosed fraction. On a molecular level, disrupted antigen-loaded DC induce Th1-related cytokines during vaccination and as response on pathogen encounter. In vivo assays revealed IL-12 production and antigen-specific T cell proliferation among splenocytes that were stimulated with disrupted antigen-loaded DC. Splenocytes of accordingly vaccinated mice produce tremendous amounts of IFNγ after stimulation with Leishmania parasites. In summary, disrupted antigen-loaded BMDC fulfil all characteristics of DC-based vaccination against Leishmania major. But, while purification of membranes of antigen-loaded DC and subsequent transfer to BALB/c mice leads to control of the disease in the animal model, only slight levels of Th1-related cytokines are seen in the in vivo assays. Whether this points towards a loss of vaccine activity on unseen levels or unknown sites where Th1-related immunity is induced by both, complete solution and purified membranes, still has to be determined.
In this thesis, time-optimal control of the bi-steerable robot is addressed. The bi-steerable robot, a vehicle with two independently steerable axles, is a complex nonholonomic system with applications in many areas of land-based robotics. Motion planning and optimal control are challenging tasks for this system, since standard control schemes do not apply. The model of the bi-steerable robot considered here is a reduced kinematic model with the driving velocity and the steering angles of the front and rear axle as inputs. The steering angles of the two axles can be set independently from each other. The reduced kinematic model is a control system with affine and non-affine inputs, as the driving velocity enters the system linearly, whereas the steering angles enter nonlinearly. In this work, a new approach to solve the time-optimal control problem for the bi-steerable robot is presented. In contrast to most standard methods for time-optimal control, our approach does not exclusively rely on discretization and purely numerical methods. Instead, the Pontryagin Maximum Principle is used to characterize candidates for time-optimal solutions. The resultant boundary value problem is solved by optimization to obtain solutions to the path planning problem over a given time horizon. The time horizon is decreased and the path planning is iterated to approximate a time-optimal solution. An optimality condition is introduced which depends on the number of cusps, i.e., reversals of the driving direction of the robot. This optimality condition allows to single out non-optimal solutions with too many cusps. In general, our approach only gives approximations of time-optimal solutions, since only normal regular extremals are considered as solutions to the path planning problem, and the path planning is terminated when an extremal with minimal number of cusps is found. However, for most desired configurations, normal regular extremals with the minimal number of cusps provide time-optimal solutions for the bi-steerable robot. The convergence of the approach is analyzed and its probabilistic completeness is shown. Moreover, simulation results on time-optimal solutions for the bi-steerable robot are presented.
Computer Science approaches (software, database, management systems) are powerful tools to boost research. Here they are applied to metabolic modelling in infections as well as health care management. Starting from a comparative analysis this thesis shows own steps and examples towards improvement in metabolic modelling software and health data management. In section 2, new experimental data on metabolites and enzymes induce high interest in metabolic modelling including metabolic flux calculations. Data analysis of metabolites, calculation of metabolic fluxes, pathways and their condition-specific strengths is now possible by an advantageous combination of specific software. How can available software for metabolic modelling be improved from a computational point of view? A number of available and well established software solutions are first discussed individually. This includes information on software origin, capabilities, development and used methodology. Performance information is obtained for the compared software using provided example data sets. A feature based comparison shows limitations and advantages of the compared software for specific tasks in metabolic modeling. Often found limitations include third party software dependence, no comprehensive database management and no standard format for data input and output. Graphical visualization can be improved for complex data visualization and at the web based graphical interface. Other areas for development are platform independency, product line architecture, data standardization, open source movement and new methodologies. The comparison shows clearly space for further software application development including steps towards an optimal user friendly graphical user interface, platform independence, database management system and third party independence especially in the case of desktop applications. The found limitations are not limited to the software compared and are of course also actively tackled in some of the most recent developments. Other improvements should aim at generality and standard data input formats, improved visualization of not only the input data set but also analyzed results. We hope, with the implementation of these suggestions, metabolic software applications will become more professional, cheap, reliable and attractive for the user. Nevertheless, keeping these inherent limitations in mind, we are confident that the tools compared can be recommended for metabolic modeling for instance to model metabolic fluxes in bacteria or metabolic data analysis and studies in infection biology. ...
A primary focus of the semiconductor industry is the miniaturisation of active devices. This work shows an experimental approach to fabricate small three-terminal devices suitable for the characterisation of single molecules. The nanoelectrodes are fabricated by high resolution electron-beam lithography and electromigration. First measurements on buckyball and pentaphenylene molecules are presented.
In this thesis, the electronic transport properties of mesoscopic condensed matter systems based on graphene are investigated by means of numerical as well as analytical methods. In particular, it is analyzed how the concepts of quantum interference and disorder, which are essential to mesoscopic devices in general, are affected by the unique electronic and transport properties of the graphene material system. We consider the famous Aharonov–Bohm effect in ring-shaped transport geometries, and, besides providing an overview over the recent developments on the subject, we study the signatures of fundamental phenomena such as Klein tunneling and specular Andreev reflection, which are specific to graphene, in the magnetoconductance oscillations. To this end, we introduce and utilize a variant of the well-known recursive Green’s function technique, which is an efficient numerical method for the calculation of transport observables in effectively non-interacting open quantum systems in the framework of a tight binding model. This technique is also applied to study the effects of a specific kind of disorder, namely short-range resonant scatterers, such as strongly bound adatoms or molecules, that can be modeled as vacancies in the graphene lattice. This numerical analysis of the conductance in the presence of resonant scatterers in graphene leads to a non-trivial classification of impurity sites in the graphene lattice and is further substantiated by an independent analytical treatment in the framework of the Dirac equation. The present thesis further contains a formal introduction to the topic of non-equilibrium quantum transport as appropriate for the development of the numerical technique mentioned above, a general introduction to the physics of graphene with a focus on the particular phenomena investigated in this work, and a conclusion where the obtained results are summarized and open questions as well as potential future developments are highlighted.
Based on genetic association and functional imaging studies, reduced function of tryptophan hydroxylase-2 (TPH2) has been shown to be critically involved in the pathophysiology of anxiety-disorders and depression. In order to elucidate the impact of a complete neuronal 5-HT deficiency, mice with a targeted inactivation of the gene encoding Tph2 were generated. Interestingly, survival of Tph2-/- mice, the formation of serotonergic neurons and the pathfinding of their projections was not impaired. Within this thesis, I investigated the influence of 5-HT deficiency on the γ-amino butyric acid (GABA) system. The GABAergic system is implicated in the pathophysiology of anxiety disorders. Therefore, measurement of GABA concentrations in different limbic brain regions was carried out. These measurements were combined with immunohistochemical estimation of GABAergic cell subpopulations in the dorsal hippocampus and amygdala. In Tph2-/- mice GABA concentrations were increased exclusively in the dorsal hippocampus. In heterozygous Tph2+/- mice concentrations of GABA were increased in the amygdala compared to Tph2-/- and wt control mice, while the reverse was found in the prefrontal cortex. The changes in GABA concentrations were accompanied by altered cell density of GABAergic neurons within the basolateral complex of the amygdala and parvalbumin (PV) neurons of the dorsal hippocampus and by adaptational changes of 5-HT receptors. Thus, adaptive changes during the development on the GABA system may reflect altered anxiety-like and depressive-like behavior in adulthood. Moreover, chronic mild stress (CMS) rescues the depressive-like effects induced by 5-HT deficiency. In contrast, 5-HT is important in mediating an increased innate anxiety-like behavior under CMS conditions. This is in line with a proposed dual role of 5-HT acting through different mechanisms on anxiety and depressive-like behavior, which is influenced by gene-environment interaction effects. Further research is needed to disentangle these complex networks in the future.
Time-resolved spectroscopic studies of energy transfer between molecules in solution form a basis for both, our understanding of fundamental natural processes like photosynthesis as well as directed synthetic approaches to optimize organic opto-electronic devices. Here, coherent two-dimensional (2D) spectroscopy opens up new possibilities, as it reveals the correlation between absorption and emission frequency and hence the full cause-and-effect chain. In this thesis two optical setups were developed and implemented, permitting the recording of electronic 2D spectra in the visible and in the hitherto unexplored ultraviolet spectral range. Both designs rely on the exclusive manipulation of beam pairs, which reduces the signal modulation to the difference between the transition frequency of the system and the laser frequency. Thus - as has been shown experimentally and theoretically - the timing precision as well as mechanical stability requirements are greatly reduced, from fractions of the oscillation period of the exciting light wave to fractions of the pulse duration. Two-dimensional spectroscopy and femtosecond transient absorption (TA) as well as different theoretical approaches and simulation models were then applied to coupled multichromophore systems of increasing complexity. Perylene bisimide-perylene monoimide dyads were investigated in cooperation with Prof. Dr. Frank Würthner and Prof. Dr. Bernd Engels at the University of Würzburg. In these simplest systems studied, global analysis of six different TA experiments unequivocally revealed an ultrafast interchromophoric energy transfer in the 100 fs range. Comparison between the obtained transfer rates and the predictions of Förster theory suggest a breakdown of this point-transition-dipole-based picture at the donor-acceptor distances realized in our compounds. Furthermore, a model including conformational changes and an interchromophoric charge transfer has been derived to consistently describe the observed pico- to nanosecond dynamics and fluorescence quantum yields. A second collaboration with Prof. Dr. Gregory Scholes (University of Toronto, Canada) and Prof. Dr. Paul Burn (University of Queensland, Australia) addressed the photophysics of a series of uorene-carbazole dendrimers. Here, a combination of 2D-UV spectroscopy and femtosecond ansiotropy decay experiments revealed the initial delocalization of the excited state wave function that saturates with the second generation. In room temperature solution, disorder-induced localization takes place on the time scales comparable to our instrument response, i.e. 100 fs, followed by energy transfer via incoherent hopping processes. Lastly, in tubular zinc chlorin aggregates, semi-synthetic analogues of natural lightharvesting antennae that had again been synthesized in the group of Prof. Dr. Frank Würthner, the interchromophoric coupling is so strong that coherently coupled domains prevail even at room temperature. From an analysis of intensity-dependent TA measurements the dimensions of these domains, the exciton delocalization length, could be determined to span 5-20 monomers. In addition, 2D spectra uncovered efficient energy transfer between neighboring domains, i.e. ultrafast exciton diffusion.
We introduce some mathematical framework for extreme value theory in the space of continuous functions on compact intervals and provide basic definitions and tools. Continuous max-stable processes on [0,1] are characterized by their “distribution functions” G which can be represented via a norm on function space, called D-norm. The high conformity of this setup with the multivariate case leads to the introduction of a functional domain of attraction approach for stochastic processes, which is more general than the usual one based on weak convergence. We also introduce the concept of “sojourn time transformation” and compare several types of convergence on function space. Again in complete accordance with the uni- or multivariate case it is now possible to get functional generalized Pareto distributions (GPD) W via W = 1 + log(G) in the upper tail. In particular, this enables us to derive characterizations of the functional domain of attraction condition for copula processes. Moreover, we investigate the sojourn time above a high threshold of a continuous stochastic process. It turns out that the limit, as the threshold increases, of the expected sojourn time given that it is positive, exists if the copula process corresponding to Y is in the functional domain of attraction of a max-stable process. If the process is in a certain neighborhood of a generalized Pareto process, then we can replace the constant threshold by a general threshold function and we can compute the asymptotic sojourn time distribution.
The neurodegenerative disorder Alzheimer's disease (AD) is the cause of approximately 60% of the world's 35 million patients suffering from dementia. Current research focuses here are on association with other diseases such as diabetes type 2 (T2DM), possible genetic markers, specific signal transduction pathways within the brain and potential protein modification, because the pathogenesis and etiology of AD are still not fully understood. Specifically association of T2DM with AD came to the focus with the so-called "Rotterdam study" in 1999, indicating that T2DM doubles the risk of developing AD. In the meantime, it is known that the prevalence rate in patients with T2DM is 30%. Drugs commonly used in the treatment of T2DM such as peroxisome proliferator-activated receptors gamma (PPARγ) agonists show improvement of the cognitive abilities in patients with early stage of dementia, with potential therapeutically relevance. Therefore it is important not only to investigate a link between these diseases, but also to investigate the insulin signaling pathway in the brain of AD patients. In order to investigate this complex issue in more details and demonstrate additional links between T2DM and AD, the present study used several basic biological methods to clarify the question: "Is impaired insulin signaling pathway within the brain crucial for the development of AD?" from several points of view. The methods used in this work have been i) an analysis of single nucleotide (SNP) polymorphism of the insulin-degrading enzyme gene (IDE) in relation to risk of AD and / or of T2DM, ii) post-mortem histochemical studies of brain tissue of patients with only AD, with AD combined with T2DM and with only T2DM compared with an age-matched control group, and iii.) investigations of neurochemical pathways and gene/protein expression changes of a human cell culture as a consequences of amyloid β (Aβ) treatment. After analysis of the IDE SNP polymorphism in the selected VITA (Vienna Trans Danube Aging) cohort disease-specific effects were discovered. The upstream polymorphism (IDE2) was found to influence AD risk in a protective manner, while the downstream polymorphism (IDE7) modified the T2DM risk. Based on the SNP results, the presented study delineate the model that IDE promoter and 3‟ untranslated region/downstream variation can have different effects on IDE expression, maybe a relevant endophenotype with disorder-specific effects on AD and T2DM susceptibility. Furthermore, the human post-mortem studies could show that both AD as well as T2DM patients had a significantly lower density of the insulin receptor (IR) in the hippocampus, whereas a significantly increased density of inactive phosphorylated PPARγ has been found and this persisted even in patients with both diseases. Summarizing the histological study, it was possible to reveal common histological features of AD and T2DM, but no direct connection between the two diseases. Although AD is nowadays not only characterized by amyloid-containing plaque deposits and by the hyperphosphorylation of tau protein, the excessive Aβ42 presence in the brains of AD patients is still playing a key role. Up to date it is still not entirely clear which physical form of Aβ42 is responsible for the development of AD. The present work investigated, what impact has the state of aggregation of Aβ42 on genes and proteins of the insulin signaling pathway and the amyloid cascade. It could be shown that the oligomeric variant enhanced specifically the gene and protein expression of glycogen synthase kinase (GSK) 3β and also the enzyme activity was significantly increased, but has in turn strongly inhibited the IR gene and protein expression. Additionally, the effect of Aβ42 on monoamine oxidase B (MAO-B) was examined. An effect of both aggregated forms of Aβ42 had on enzyme activity was discovered. However, the fibrillar variants led to significantly increased activity of MAO-B while the oligomeric variants inhibited the enzyme activity. Several previous studies have demonstrated the involvement of increased MAO-B activity in AD, but the present work provides for the first time a direct link between the states of aggregation of Aβ42 to enzyme activity. Finally the results of the presented thesis can be summarized to following conclusion: Although AD and T2DM sharing some degrees of common features, still there is a lack of direct association, and therefore the diseases must be considered more independent rather than linked. But the impaired cerebral insulin signaling pathway seems to be another manifested hallmark of AD.
The celebrated AdS/CFT dualities provide a window to strongly-coupled quantum field theories (QFTs), which are realized in nature at the most fundamental level on the one hand, but are hardly accessible for the standard mathematical tools on the other hand. The prototype examples of AdS/CFT relate classical supergravity theories on (d+1)-dimensional anti-de Sitter space (AdS) to strongly-coupled d-dimensional conformal field theories (CFTs). The AdS spacetimes admit a timelike conformal boundary, on which the dual CFT is defined. In that sense the AdS/CFT dualities are holographic, and this new approach has led to remarkable progress in understanding strongly-coupled QFTs defined on Minkowski space and on the Einstein cylinder. On the other hand, the study of QFT on more generic curved spacetimes is of fundamental interest and non-trivial already for free theories. Moreover, understanding the properties of gravity as a quantum theory remains among the hardest problems to solve in physics. Both of these issues can be studied holographically and we investigate here generalizations of AdS/CFT involving on the lower-dimensional side QFTs on curved backgrounds and as a further generalization gravity. In the first part we expand on the holographic description of QFT on fixed curved backgrounds, which involves gravity on an asymptotically-AdS space with that prescribed boundary structure. We discuss geometries with de Sitter and AdS as conformal boundary to holographically describe CFTs on these spacetimes. After setting up the procedure of holographic renormalization we study the reflection of CFT unitarity properties in the dual bulk description. The geometry with AdS on the boundary exhibits a number of interesting features, mainly due to the fact that the boundary itself has a boundary. We study both cases and resolve potential tensions between the unitarity properties of the bulk and boundary theories, which would be incompatible with a duality. The origin of these tensions is partly in the structure of the geometry with AdS conformal boundary, while another one arises for a particular limiting case where the bulk and boundary descriptions naively disagree. Besides technical challenges, the hierarchy of boundaries for the geometry with AdS conformal boundary offers an interesting option. Namely, having the dual theory on the conformal boundary itself defined on an AdS space offers the logical possibility of implementing a second instance of AdS/CFT. We discuss an appropriate geometric setting allowing for the notion of the boundary of a boundary and identify limitations for such multi-layered dualities. In the second part we consider five-dimensional supergravities whose solutions can be lifted to actual string-theory backgrounds. We work out the asymptotic structure of the theories on asymptotically-AdS spaces and calculate the Weyl anomaly of the dual CFTs. These holographic calculations confirm the expectations from the field-theory side and provide a non-trivial test of the AdS/CFT conjecture. Moreover, building on the previous results we show that in addition to the usual Dirichlet also more general boundary conditions can be imposed. That allows to promote the boundary metric to a dynamical quantity and is expected to yield a holographic description for a conformal supergravity on the boundary. The boundary theory obtained this way exhibits pathologies such as perturbative ghosts, which is in fact expected for a conformal gravity. The fate of these ghosts beyond perturbation theory is an open question and our setting provides a starting point to study it from the string-theory perspective. That discussion leads to a regime where the holographic description of the boundary theory requires quantization of the bulk supergravity. A necessary ingredient of any supergravity is a number of gravitinos as superpartners of the graviton, for which we thus need an effective-QFT description to make sense of AdS/CFT beyond the limit where bulk theory becomes classical. In particular, quantization should be possible not only on rigid AdS, but also on generic asymptotically-AdS spacetimes which may not be Einstein. In the third part we study the quantization and causality properties of the gravitino on Friedmann-Robertson-Walker spacetimes to explicitly show that a consistent quantization can be carried out also on non-Einstein spaces, in contrast to claims in the recent literature. Furthermore, this reveals interesting non-standard effects for the gravitino propagation, which in certain cases is restricted to regions more narrow than the expected light cones.
Early-life stress has been shown to influence the development of the brain and to increase the risk for psychiatric disorders later in life. Furthermore, variation in the human serotonin transporter (5-HTT, SLC6A4) gene is suggested to exert a modulating effect on the association between early-life stress and the risk for depression. At the basis of these gene x environment (G x E) interactions, epigenetic mechanisms, such as DNA-methylation, seem to represent the primary biological processes mediating early-life programming for stress susceptibility or resilience, respectively. The exact molecular mechanisms however remain to be elucidated, though. In the present study, we used two different stress paradigms to assess the molecular mechanisms mediating the relationship between early-life stress and disorders of emotion regulation later in life. First, a 5-Htt x prenatal stress (PS) paradigm was applied to investigate whether the effects of PS are dependent on the 5-Htt genotype. For this purpose, the effects of PS on cognition and anxiety- / depression-related behavior were examined using a maternal restraint stress paradigm of PS in C57BL/6 wild-type (WT) and heterozygous 5-Htt deficient (5-Htt+/-) mice. Additionally, in female offspring, a genome-wide hippocampal gene expression and DNA methylation profiling was performed using the Affymetrix GeneChip® Mouse Genome 430 2.0 Array and the AffymetrixGeneChip® Mouse Promoter 1.0R Array. Some of the resulting candidate genes were validated by quantitative real-time PCR. Further, the gene expression of these genes was measured in other brain regions of the PS animals as well as in the hippocampus of offspring of another, 5-Htt x perinatal stress (PeS) paradigm, in which pregnant and lactating females were stressed by an olfactory cue indicating infanticide. To assess resilience to PS and PeS, correlation studies between gene expression and behaviour were performed based on an initial performance-based LIMMA analysis of the gene expression microarray. 5-Htt+/- offspring of the PS paradigm showed enhanced memory performance and signs of reduced anxiety as compared to WT offspring. In contrast, exposure of 5-Htt+/- mice to PS was associated with increased depression-like behavior, an effect that tended to be more pronounced in female offspring. Further, 5-Htt genotype, PS and their interaction differentially affected the expression and DNA methylation of numerous genes and related pathways within the female hippocampus. Specifically, MAPK and neurotrophin signaling were regulated by both the 5-Htt+/- genotype and PS exposure, whereas cytokine and Wnt signaling were affected in a 5-Htt genotype x PS manner, indicating a gene x environment interaction at the molecular level. The candidate genes of the expression array could be validated and their expression patterns were partly consistent in the prefrontal cortex and striatum. Furthermore, the genotype effect of XIAP associated factor 1 (Xaf1) was also detected in the mice of the PeS paradigm. Concerning resilience, we found that the expression of growth hormone (Gh), prolactin (Prl) and fos-induced growth factor (Figf) were downregulated in WTPS mice that performed well in the forced swim test (FST). At the same time, the results indicated that Gh and Prl expression correlated positively with adrenal weight, whereas Figf expression correlated positively with basal corticosteron concentration, indicating an intricate relationship between depression-like behavior, hippocampal gene expression and the hypothalamo-pituitary-adrenal (HPA) axis activity. Correlation studies in the PeS animals revealed a link between Gh / Prl expression and anxiety-like behavior. In conclusion, our data suggest that although the 5-Htt+/- genotype shows clear adaptive capacity, 5-Htt+/- mice, particularly females, appear to be more vulnerable to developmental stress exposure when compared to WT offspring. Moreover, hippocampal gene expression and DNA methylation profiles suggest that distinct epigenetic mechanisms at the molecular level mediate the behavioral effects of the 5-Htt genotype, PS exposure, and their interaction. Further, resilience to early-life stress might be conferred by genes whose expression is linked to HPA axis function.
Primary contact with human polyomaviruses is followed by lifelong asymptomatic persistence of viral DNA. Under severe immunosuppression JCV activation may lead to unrestricted virus growth in the CNS followed by development of progressive multifocal leukoencephalopathy (PML). Besides the kidney and the brain, target cells of persistent infection were also found in the hematopoietic system. This included the presence of JCV genomes in peripheral blood cells (PBCs). In the attempt to understand the role of PBCs for the JCV infection in humans, we asked for the type of cells affected as well as for virus interaction with PBCs. Analysis of separated subpopulations by highly sensitive and specific polymerase chain reaction and Southern blot hybridization revealed the presence of JCV DNA mostly in circulating granulocytes. These cells have important functions in innate immunity and are professional phagocytes. This suggested that PCR amplified DNA might be the result of an extranuclear association of the virus due to membrane attachment or phagocytosis rather than JCV infection with presence of viral DNA in the nucleus. In the attempt to answer this question JCV DNA was subcellularly localized in the blood of 22 healthy donors by JCV specific fluorescence in situ hybridization (FISH). Granulocytes and peripheral blood mononuclear cells (PBMCs) were separated by Percoll gradient centrifugation. Intracellular JCV DNA was hybridized with Digoxigenin-labeled JCV specific DNA probes covering half of the viral genome. As the sensitivity of the anti-digoxigenin antibody system was lower than the PCR detection level, a chemical amplification step was included consisting of peroxidase labeled secondary antibody precipitating biotinylated tyramide followed by detection with streptavidin-Texas-Red and fluorescence microscopy. Comparison of the number of cells affected in healthy individuals with 15 HIV-1 infected patients with and without PML revealed that the rate of affected PBMCs was comparable in both groups (2.5±0.4 and 14.5±0.9 per 1000). In contrast, the rate of JCV positive granulocytes in the immunosuppressed group was 92.6±1.7% compared to 4±1.4% in healthy donors thus confirming that granulocytes are the major group of circulating cells affected by JCV and that HIV-1 associated immune impairment has an important effect on the virus-cell association. Localization revealed that JCV DNA was predominantly located within the cytoplasm, although hybridizing signals occasionally covered the nuclear compartment. The fluorescent glow of chemical amplification combined with classical fluorescence microscopy did not allow an unequivocal localization of viral DNA. However, confocal microscopy of 24 sections through single cells combined with FISH without chemical amplification confirmed cytoplasmic localization of JCV DNA in a large number of cells. Additionally, it clearly demonstrated that JCV DNA was also located in the nucleus and nuclear localization directly correlated with the number of cells affected. Calculation of the virus load in subcellular compartments revealed that up to 50% of the JCV genomes were located in the nucleus thus pointing to viral infection at least in the granulocytes of HIV-1 infected patients. This may contribute to the distribution of the virus from sites of peripheral infection to the CNS and may promote the development of active PML in the severely immune impaired patients.
Alveolar echinococcosis (AE), a severe and life-threatening disease is caused by the small fox tapeworm Echinococcus multilocularis. Currently, the options of chemotherapeutic treatment are very limited and are based on benzimidazole compounds, which act merely parasitostatic in vivo and often display strong side effects. Therefore, new therapeutic drugs and targets are urgently needed. In the present work the role of two evolutionarily conserved signalling pathways in E. multilocularis, namely the insulin signalling cascade and Abl kinases, has been studied in regard to host-parasite interaction and the possible use in anti-AE chemotherapy.
The Influence of Anticipation and Warnings on Collision Avoidance Behavior of Attentive Drivers
(2012)
This thesis deals with collision avoidance. Focus is on the question of under which conditions collision avoidance works well for humans and if drivers can be supported by a Forward Collision Warning (FCW) System when they do not react appropriately. Forward Collision Warning systems work in a way that tries to focus the driver's attention in the direction of the hazard and evoke an avoidance reaction by some sort of alert (e.g., tone or light). Research on these warning systems generally focuses on inattention and distraction as the cause for crashes. If the driver is inattentive, the results of a crash are thought to be worse as the driver‘s reaction is belated or might not mitigate the crash at all. To ensure effectiveness in the worst case, most of the experiments studying FCW systems have been conducted with visually distracted drivers. Research on the cause and possible countermeasures for crashes of attentive drivers are hardly available, although crash databases and field operational test data show that 40-60% of the drivers look at the forward scene shortly before they crash. Hence, only a few studies elaborated on ideas about the reasons for crashes with attentive drivers. On the basis of the literature, it is worked out that one reason for delayed avoidance behavior can be an incorrect allocation of attention. It is further elaborated that high level attention processes are strongly influenced by interpretation of the situation and the anticipation of future status. Therefore, it is hypothesized that alert drivers react later when they can not foresee a potential threat or even when they misinterpret the situation. If the lack of threat anticipation or incorrect anticipation is a reason for crashes, a FCW system could be a great help, when the FCW is easily comprehensible. It is hypothesized that a FCW can compensate for missing threat anticipation in the driver. The results of the experiments show that the level of threat anticipation has the largest influence on driver behavior in an imminent crash situation. The results further suggest that FCW systems - especially warnings of audible or haptic modality - can help attentive drivers who do not anticipate a threat or misinterpret a situation. The negative influence of missing or mislead threat anticipation on objective measures was small when the threat appeared suddenly. This is thought to be due to the visual appearance of the introduced threat. It is assumed that this type of stimulus triggers a lower level attentional process, as opposed to a top-down attention process controlled by an anticipatory process. In the other scenario types such a lower level process may not be triggered. An important result of the second study is that (Forward) Collision Warnings have to be learned. Participants with warnings reacted slower than participants without any FCW in the first critical event. Participants with a visual warning reacted particularly slow. Later in the experiment, the probands with warnings were constantly faster than their counterparts without them. Hence, the results of this study suggest that a haptic or audible modality should be used as a primary warning to the driver. The characteristic of visual warnings to draw the visual attention is both a blessing and a curse. It is suggested to use the visual warning component for only a short period of time to attract the driver's attention to the forward scene, but then end the display to not further distract him. Car manufacturers try to avoid as many unnecessary alarms as possible. If driver monitoring would be available, it is often planned to suppress warnings when the driver is looking through the windshield. The results suggest not to do so. If a driver reaches a critical situation represented by a low Time-to-collision (TTC) or a high need to decelerate, he should always get a warning, unless he is already braking or steering. The most important arguments for this are: - Looking at the street does not mean that the driver has the correct situational awareness. - The driver has to learn the meaning of the warning. - The driver will not be annoyed by a warning when the situation is considered critical.
Ovarian cancer currently causes ~6,000 deaths per year in Germany alone. Since only palliative treatment is available for ovarian carcinomas that have developed resistance against platinum-based chemotherapy and paclitaxel, there is a pressing medical need for the development of new therapeutic approaches. As survival is strongly influenced by immunological parameters, immunotherapeutic strategies appear promising. The research of our group thus aims at overcoming tumour immune escape by counteracting immunosuppressive mechanisms in the tumour microenvironment. In this context, we found that tumour-infiltrating myeloid-derived suppressor cells (MDSC) or tumour associated macrophages (TAM) which are abundant in ovarian cancer express high levels of the enzyme 11β-hydroxysteroid dehydrogenase1 (11-HSD1). This oxido-reductase enzyme is essential for the conversion of biologically inactive cortisone into active cortisol. In line with this observation, high endogenous cortisol levels could be detected in serum, ascitic fluid and tumour exudates from ovarian cancer patients. Considering that cortisol exerts strong anti-inflammatory and immunosuppressive effects on immune cells, it appears likely that high endogenous cortisol levels contribute to immune escape in ovarian cancer. We thus hypothesised that local activation of endogenous glucocorticoids could suppress beneficial immune responses in the tumour microenvironment and thereby prevent a successful immunotherapy. To investigate the in vivo relevance of this postulated immune escape mechanism, irradiated PTENloxP/loxP loxP-Stop-loxP-krasG12D mice were reconstituted with hematopoietic stem cells from either glucocorticoid receptor (GR) expressing mice (GRloxP/loxP) or from mice with a T cell-specific glucocorticoid receptor knock-out (lck-Cre GRloxP/loxP) mice. In the host mice, the combination of a conditional PTEN knock-out with a latent oncogenic kras leads to tumour development when a Cre-encoding adenovirus is injected into the ovarian bursa. Using this model, mice that had been reconstituted with GC-insensitive T cells showed better intratumoural T cell infiltration than control mice that had received functionally unaltered GRloxP/loxP cells via adoptive transfer. However, tumour-infiltrating T cells mostly assumed a Foxp3+ (regulatory) phenotype and survival was even shortened in mice with cortisol-insensitive T cells. Thus, endogenous cortisol seems to inhibit immune cell infiltration in ovarian cancer, but productive anti-tumour immune responses might still be prevented by further factors from the tumour microenvironment. Thus, our data did not provide a sufficiently strong rationale to further pursue the antagonisation of glucocorticoid signalling in ovarian cancer patients, Moreover, glucocorticoids are frequently administered to cancer patients to reduce inflammation and swelling and to prevent chemotherapy-related toxic side effects like nausea or hypersensitivity reactions associated with paclitaxel therapy. Thus, we decided to address the question whether specific signalling pathways in innate immune cells, preferentially in NK cells, could still be activated even in the presence of GC. A careful investigation of the various activating NK cell receptors (i.e. NKp30, NKp44, NKp46), DNAM-1 and NKG2D) was thus performed which revealed that NKp30, NKp44 and NKG2D are all down-regulated by cortisol whereas NKp46 is actually induced by cortisol. Interestingly, NKp46 is the only known receptor that is strictly confined to NK cells. Its activation via crosslinking leads to cytokine release and activation of cytotoxic activity. Stimulation of NK cells via NKp46 may contribute to immune-mediated tumour destruction by triggering the lysis of tumour cells and by altering the cytokine pattern in the tumour microenvironment, thereby generating more favourable conditions for the recruitment of antigen-specific immune cells. Accordingly, our observation that even cortisol-treated NK cells can still be activated via NKp46 and CD2 might become valuable for the design of immunotherapies that can still be applied in the presence of endogenous or therapeutically administered glucocorticoids.
Nowadays, agriculturally used areas form a major part of the German landscape. The conversion from natural habitats to agriculturally used grasslands fundamentally influences the diversity of plants and animals. Intensive use of these areas increases indeed the productivity of crop or biomass on meadows as food source for cattle. How these influences affect biodiversity, ecosystems and trophic interactions over years is still not understood completely. To understand biodiversity functions in an agriculturally used area my study focused on the influence of land use (fertilization, grazing and mowing) on a herbivore-parasitoid system of Plantago lanceolata. The ribwort plantain is a generalist herb of cosmopolitan distribution. It can grow in a very broad range of ground conditions (both in wet and dry habitats), which makes P. lanceolata an ideal model system for investigating tritrophic interactions in a gradient of land use intensity. The weevils Mecinus labilis and M. pascuorum feed and oviposit on P. lanceolata. Mesopolobus incultus is a generalist parasitoid that parasitizes different insect orders. However its only hosts on P. lanceolata are the two weevil species mentioned before. The intention of my study was to investigate the influence of land use on a tritrophic system and its surrounding vegetation (structure, density and species richness) at different spatial scales like subplot, plot and landscape level in three different regions (north, middle and south of Germany). I studied the influence of land use intensity not only correlative but also experimentally. Additionally I aimed to reveal how vegetation composition changes host plant metabolites and whether these changes impact higher trophic levels in the field.