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This research was aimed to evaluate the time-course of changes in the brain insulin and some elements of the insulin receptor (IR) signalling cascade in the streptozotocin-intracerebroventricullarly (STZ-icv) treated rats representing experimental model of sporadic Alzheimer’s disease (sAD) and to compare them with effects of chronically increased corticosterone on the brain insulin system. This study shows down-regulation in mRNA expression of insulin, insulin receptor (IR), and insulin degrading enzyme (IDE) but no changes were observed in the expression of tau mRNA in hippocampus of STZ-icv treated rats. Comparing these results to the ones found in corticosterone treated rats similarities at the level of insulin, IR and IDE mRNA expression can be assumed. In contrast tau mRNA expression in corticosterone treated rats were increased, data which are in line with sAD. Behavioural deficits were found in both STZ-icv and corticosterone treated rats. In conclusion, these results demonstrate that many of the characteristic features of sporadic Alzheimer’s disease (sAD) can be produced experimentally by impairing the insulin/IR signaling pathway combined with a chronic increase of corticosterone. This supports our hypothesis that sAD represents a neuro-endocrine disorder associated with brain-specific disregulation in insulin and IR signaling, caused in part by increased level of corticosterone. In line with that our study puts a question on the classical amyloid β (Aβ) hypothesis, supporting the view of brain insulin system dysfunction as a trigger for the Aβ pathology in an experimental sAD model.
Charcot-Marie-Tooth 1B (CMT1B) is a progressive inherited demyelinating disease of human peripheral nervous system leading to sensory and/or motor function disability and is caused by mutations in the P0 gene. Mice heterozygously deficient for P0 (P0+/-) are an adequate model of this human disorder showing myelin degeneration, formation of onion bulbs, remyelination and a reduced motor conduction velocity of around 30m/s similar to patients. Previously, it had been shown that T-lymphocytes and macrophages play a crucial role during pathogenesis in peripheral nerves of P0+/- mice. Both, T-lymphocytes and macrophages increase in number in the endoneurium and deletion of T-lymphocytes or deletion of a macrophage-directed cytokine ameliorates the disease. In this study the monocyte chemoattractant protein-1 (MCP-1) was identified as an early regulated cytokine before onset of disease is visible at the age of six months. MCP-1 mRNA and protein expression could be detected in femoral quadriceps and sciatic nerves of P0+/- mice already at the age of one month but not in cutaneous saphenous nerves which are never affected by the disease. MCP-1 was shown to be expressed by Schwann cells and to mediate the immigration of immune cells into peripheral nerves. Deletion of MCP-1 in P0+/- mice accomplished by crossbreeding P0 and MCP-1 deficient mice revealed a substantial reduction of immune cells in peripheral nerves of P0+/-/MCP-1+/- and P0+/-/MCP-1-/- mice at the age of six months. In twelve months old mice reduction of immune cells in peripheral nerves is accompanied by amelioration of demyelinating disease in P0+/-/MCP-1+/- and aggravation of demyelinating disease in lumbar ventral roots of P0+/ /MCP-1-/- mice in comparison to P0+/ /MCP 1+/+ mice. Furthermore, activation of the MEK1/2-ERK1/2 signalling cascade could be demonstrated to take place in Schwann cells of affected peripheral nerves of P0+/- mice overlapping temporarily and spatially with MCP-1 expression. An animal experiment using a MEK1/2-inhibitor in vivo, CI-1040, revealed that upon reduction of ERK1/2 phosphorylation MCP-1 mRNA expression is diminished suggesting that the activation of the MEK1/2-ERK1/2 signalling cascade is necessary for MCP-1 expression. Additionally, peripheral nerves of P0+/- mice showing reduced ERK1/2 phosphorylation and MCP-1 mRNA expression also show reduced numbers of macrophages in the endoneurium. This study shows a molecular link between a Schwann cell based mutation and immune cell function. Inhibition of the identified signalling cascade might be a putative target for therapeutic approaches.
Magnetic Resonance Imaging (MRI) is an imaging modality which provides anatomical or functional images of the human body with variable contrasts in an arbitrarily positioned slice without the need for ionizing radiation. In MRI, data are not acquired directly, but in the reciprocal image space (otherwise known as k-space) through the application of spatially variable magnetic field gradients. The k-space is made up of a grid of data points which are generally acquired in a line-by-line fashion (Cartesian imaging). After the acquisition, the k-space data are transformed into the image domain using the Fast Fourier Transformation (FFT). However, the acquisition of data is not limited to the rectilinear Cartesian sampling scheme described above. Non-Cartesian acquisitions, where the data are collected along exotic trajectories, such as radial and spiral, have been shown to be beneficial in a number of applications. However, despite their additional properties and potential advantages, working with non-Cartesian data can be complicated. The primary difficulty is that non-Cartesian trajectories are made up of points which do not fall on a Cartesian grid, and a simple and fast FFT algorithm cannot be employed to reconstruct images from non-Cartesian data. In order to create an image, the non-Cartesian data are generally resampled on a Cartesian grid, an operation known as gridding, before the FFT is performed. Another challenge for non-Cartesian imaging is the combination of unusual trajectories with parallel imaging. This thesis has presented several new non-Cartesian parallel imaging methods which simplify both gridding and the reconstruction of images from undersampled data. In Chapter 4, a novel approach which uses the concepts of parallel imaging to grid data sampled along a non-Cartesian trajectory called GRAPPA Operator Gridding (GROG) is described. GROG shifts any acquired k-space data point to its nearest Cartesian location, thereby converting non-Cartesian to Cartesian data. The only requirements for GROG are a multi-channel acquisition and a calibration dataset for the determination of the GROG weights. Chapter 5 discusses an extension of GRAPPA Operator Gridding, namely Self-Calibrating GRAPPA Operator Gridding (SC-GROG). SC-GROG is a method by which non-Cartesian data can be gridded using spatial information from a multi-channel coil array without the need for an additional calibration dataset, as required in standard GROG. Although GROG can be used to grid undersampled datasets, it is important to note that this method uses parallel imaging only for gridding, and not to reconstruct artifact-free images from undersampled data. Chapter 6 introduces a simple, novel method for performing modified Cartesian GRAPPA reconstructions on undersampled non-Cartesian k-space data gridded using GROG to arrive at a non-aliased image. Because the undersampled non-Cartesian data cannot be reconstructed using a single GRAPPA kernel, several Cartesian patterns are selected for the reconstruction. Finally, Chapter 7 discusses a novel method of using GROG to mimic the bunched phase encoding acquisition (BPE) scheme. In MRI, it is generally assumed that an artifact-free image can be reconstructed only from sampled points which fulfill the Nyquist criterion. However, the BPE reconstruction is based on the Generalized Sampling Theorem of Papoulis, which states that a continuous signal can be reconstructed from sampled points as long as the points are on average sampled at the Nyquist frequency. A novel method of generating the “bunched” data using GRAPPA Operator Gridding (GROG), which shifts datapoints by small distances in k-space using the GRAPPA Operator instead of employing zig-zag shaped gradients, is presented in this chapter. With the conjugate gradient reconstruction method, these additional “bunched” points can then be used to reconstruct an artifact-free image from undersampled data. This method is referred to as GROG-facilitated Bunched Phase Encoding, or GROG-BPE.
Chondrogenic differentiation of human mesenchymal stem cells and articular cartilage reconstruction
(2008)
Articular cartilage defects are still one of the major challenges in orthopedic and trauma surgery. Today, autologous chondrocyte transplantation (ACT), as a cell-based therapy, is an established procedure. However, one major limitation of this technique is the loss of the chondrogenic phenotype during expansion. Human mesenchymal stem cells (hMSCs) have an extensive proliferation potential and the capacity to differentiate into chondrocytes when maintained under specific conditions. They are therefore considered as candidate cells for tissue engineering approaches of functional cartilage tissue substitutes. First in this study, hMSCs were embedded in a collagen type I hydrogel to evaluate the cartilaginous construct in vitro. HMSC collagen hydrogels cultivated in different culture media showed always a marked contraction, most pronounced in chondrogenic differentiation medium supplemented with TGF-ß1. After stimulation with chondrogenic factors (dexamethasone and TGF-ß1) hMSCs were able to undergo chondrogenesis when embedded in the collagen type I hydrogel, as evaluated by the temporal induction of cartilage-specific gene expression. Furthermore, the cells showed a chondrocyte-like appearance and were homogeneously distributed within a proteoglycan- and collagen type II-rich extracellular matrix, except a small area in the center of the constructs. In this study, chondrogenic differentiation could not be realized with every hMSC preparation. With the improvement of the culture conditions, e.g. the use of a different FBS lot in the gel fabrication process, a higher amount of cartilage-specific matrix deposition could be achieved. Nevertheless, the large variations in the differentiation capacity display the high donor-to-donor variability influencing the development of a cartilaginous construct. Taken together, the results demonstrate that the collagen type I hydrogel is a suitable carrier matrix for hMSC-based cartilage regeneration therapies which present a promising future alternative to ACT. Second, to further improve the quality of tissue-engineered cartilaginous constructs, mechanical stimulation in specific bioreactor systems are often employed. In this study, the effects of mechanical loading on hMSC differentiation have been examined. HMSC collagen hydrogels were cultured in a defined chondrogenic differentiation medium without TGF-ß1 and subjected to a combined mechanical stimulation protocol, consisting of perfusion and cyclic uniaxial compression. Bioreactor cultivation neither affected overall cell viability nor the cell number in collagen hydrogels. Compared with non-loaded controls, mechanical loading promoted the gene expression of COMP and biglycan and induced an up-regulation of matrix metalloproteinase 3. These results circumstantiate that hMSCs are sensitive to mechanical forces, but their differentiation to chondrocytes could not be induced. Further studies are needed to identify the specific metabolic pathways which are altered by mechanical stimulation. Third, for the development of new cell-based therapies for articular cartilage repair, a reliable cell monitoring technique is required to track the cells in vivo non-invasively and repeatedly. This study aimed at analyzing systematically the performance and biological impact of a simple and efficient labeling protocol for hMSCs. Very small superparamagnetic iron oxide particles (VSOPs) were used as magnetic resonance (MR) contrast agent. Iron uptake was confirmed histologically with prussian blue staining and quantified by mass spectrometry. Compared with unlabeled cells, VSOP-labeling did neither influence significantly the viability nor the proliferation potential of hMSCs. Furthermore, iron incorporation did not affect the differentiation capacity of hMSCs. The efficiency of the labeling protocol was assessed with high resolution MR imaging at 11.7 Tesla. VSOP-labeled hMSCs were visualized in a collagen type I hydrogel indicated by distinct hypointense spots in the MR images, resulting from an iron specific loss of signal intensity. This was confirmed by prussian blue staining. In summary, this labeling technique has great potential to visualize hMSCs and track their migration after transplantation for articular cartilage repair with MR imaging.
Steps involved in the progression of non-small cell lung cancer (NSCLC) to metastasis are poorly understood. Expression of oncogenic C-RAF in lung epithelial cells has yielded a model for non-small cell lung cancer (NSCLC). The induced adenomas are characterised by high genomic stability, a lack of tumor progression and pronounced cell-cell contacts raising the question whether disruption of E-cadherin complexes would promote progression to metastasis. Two genetic approaches were used to evaluate the role of adherens junctions in a C-RAF driven mouse model for NSCLC: conditional ablation of the Cdh1 gene and expression of dominant negative (dn) E-cadherin. Disruption of E-cadherin function caused massive formation of intratumoral vessels that was reversible in the early phase of induction. Vascularized tumors grew more rapidly, developed invasive fronts and gave rise to micrometastasis. ß-catenin was identified as a critical effector of E-cadherin disruption leading to up-regulation of angiogenic inducers (VEGF-A and VEGF-C) in mouse and human lung tumor cell lines. In vivo, lung tumor cells with disrupted E-cadherin expressed ß-catenin target genes of endodermal and other lineages suggesting that reprogramming may be involved in metastatic progression.
The Internet sees an ongoing transformation process from a single best-effort service network into a multi-service network. In addition to traditional applications like e-mail,WWW-traffic, or file transfer, future generation networks (FGNs) will carry services with real-time constraints and stringent availability and reliability requirements like Voice over IP (VoIP), video conferencing, virtual private networks (VPNs) for finance, other real-time business applications, tele-medicine, or tele-robotics. Hence, quality of service (QoS) guarantees and resilience to failures are crucial characteristics of an FGN architecture. At the same time, network operations must be efficient. This necessitates sophisticated mechanisms for the provisioning and the control of future communication infrastructures. In this work we investigate such echanisms for resilient FGNs. There are many aspects of the provisioning and control of resilient FGNs such as traffic matrix estimation, traffic characterization, traffic forecasting, mechanisms for QoS enforcement also during failure cases, resilient routing, or calability concerns for future routing and addressing mechanisms. In this work we focus on three important aspects for which performance analysis can deliver substantial insights: load balancing for multipath Internet routing, fast resilience concepts, and advanced dimensioning techniques for resilient networks. Routing in modern communication networks is often based on multipath structures, e.g., equal-cost multipath routing (ECMP) in IP networks, to facilitate traffic engineering and resiliency. When multipath routing is applied, load balancing algorithms distribute the traffic over available paths towards the destination according to pre-configured distribution values. State-of-the-art load balancing algorithms operate either on the packet or the flow level. Packet level mechanisms achieve highly accurate traffic distributions, but are known to have negative effects on the performance of transport protocols and should not be applied. Flow level mechanisms avoid performance degradations, but at the expense of reduced accuracy. These inaccuracies may have unpredictable effects on link capacity requirements and complicate resource management. Thus, it is important to exactly understand the accuracy and dynamics of load balancing algorithms in order to be able to exercise better network control. Knowing about their weaknesses, it is also important to look for alternatives and to assess their applicability in different networking scenarios. This is the first aspect of this work. Component failures are inevitable during the operation of communication networks and lead to routing disruptions if no special precautions are taken. In case of a failure, the robust shortest-path routing of the Internet reconverges after some time to a state where all nodes are again reachable – provided physical connectivity still exists. But stringent availability and reliability criteria of new services make a fast reaction to failures obligatory for resilient FGNs. This led to the development of fast reroute (FRR) concepts for MPLS and IP routing. The operations of MPLS-FRR have already been standardized. Still, the standards leave some degrees of freedom for the resilient path layout and it is important to understand the tradeoffs between different options for the path layout to efficiently provision resilient FGNs. In contrast, the standardization for IP-FRR is an ongoing process. The applicability and possible combinations of different concepts still are open issues. IP-FRR also facilitates a comprehensive resilience framework for IP routing covering all steps of the failure recovery cycle. These points constitute another aspect of this work. Finally, communication networks are usually over-provisioned, i.e., they have much more capacity installed than actually required during normal operation. This is a precaution for various challenges such as network element failures. An alternative to this capacity overprovisioning (CO) approach is admission control (AC). AC blocks new flows in case of imminent overload due to unanticipated events to protect the QoS for already admitted flows. On the one hand, CO is generally viewed as a simple mechanism, AC as a more complex mechanism that complicates the network control plane and raises interoperability issues. On the other hand, AC appears more cost-efficient than CO. To obtain advanced provisioning methods for resilient FGNs, it is important to find suitable models for irregular events, such as failures and different sources of overload, and to incorporate them into capacity dimensioning methods. This allows for a fair comparison between CO and AC in various situations and yields a better understanding of the strengths and weaknesses of both concepts. Such an advanced capacity dimensioning method for resilient FGNs represents the third aspect of this work.
The plant surface is the substrate upon which herbivorous insects and natural enemies meet and thus represents the stage for interactions between the three trophic levels. Plant surfaces are covered by an epicuticular wax layer which is highly variable depending on species, cultivar or plant part. Differences in wax chemistry may modulate ecological interactions. We explored whether caterpillars of Spodoptera frugiperda, when walking over a plant surface, leave a chemical trail (kairomones) that can be detected by the parasitoid Cotesia marginiventris. Chemistry and micromorphology of cuticular waxes of two barley eceriferum wax mutants (cer-za.126, cer-yp.949) and wild type cv. Bonus (wt) were assessed. The plants were then used to investigate potential surface effects on the detectability of caterpillar kairomones. Here we provide evidence that C. marginiventris responds to chemical footprints of its host. Parasitoids were able to detect the kairomone on wild type plants and on both cer mutants but the response to cer-yp.949 (reduced wax, high aldehyde fraction) was less pronounced. Experiments with caterpillar-treated wt and mutant leaves offered simultaneously, confirmed this observation: no difference in wasp response was found when wt was tested against cer-za.126 (reduced wax, wt-like chemical composition) but wt was significantly more attractive than cer-yp.949. This demonstrates for the first time that the wax layer can modulate the detectability of host kairomones.
We have established the novel interaction between mCHL2, Tsg and BMP-2 for the first time. Tsg binds to VWC1 and VWC3 of mCHL2 in a cooperative waz and plazs a role in strengthening the binding affinity. Furthermore, Tsg/mCHL2/BMP-2 termary complex and Tsg/mCHL2 binary complex have been isolated by gel-filtration chromatography. Therefore mCHL2 can form a ternary complex with Tsg and BMP-2 and this complex makes mCHL2 a better BMP-2 antagnonist.
Myelinmutationen des zentralen und peripheren Nervensystems verursachen erheblich behindernde und bislang nicht heilbare Erkrankungen. In dieser Arbeit verwendeten wir transgene PLP überexprimierende Mäuse (PLPtg) als Modell für zentrale Myelinopathien und heterozygot P0 defiziente (P0+/-) Mäuse als Modell für hereditäre Neuropathien des peripheren Nervensystems. Beide Modelle zeigen eine niedriggradige Inflammation des Nervengewebes. Durch Verpaarung mit immundefizienten Mausstämmen konnten wir die Relevanz von Makrophagen und T- Lymphozyten in der Entstehung der Myelinpathologie zeigen. Nachdem wir beweisen konnten, dass CD8+ T- Lymphozyten maßgeblich zur Pathologie in PLPtg Mäusen beitragen untersuchten wir den Einfluss eines wichtigen zytotoxischen Moleküls, Granzym B, auf den neuralen Schaden. Durch Generierung von Granzym B defizienten PLPtg Knochenmarkschimären konnten wir eine deutliche Reduktion des glialen Schadens und der Oligodendrozytenapoptose nachweisen. Granzym B ist also zumindest teilweise verantwortlich für die Schädigung, die durch T- Lymphozyten hervorgerufen wird. Um die zusätzliche Informationen über die Rolle der Immunmodulation in unseren Modellen zu gewinnen, untersuchten wir das koinhibitorische Molekül PD-1, einen CD-28 verwandten Rezeptor, der auf B- und T- Lymphozyten exprimiert wird. Bei der Untersuchung von Myelinmutanten des ZNS und PNS (PLPtg und P0+/-), die zusätzlich PD-1 defizient waren, konnten wir einen signifikanten Anstieg von CD8+ T- Lymphozyten und eine deutliche Verschlechterung des glialen Schadens beobachten. In PLPtg Mäusen induzierte die Abwesenheit von PD-1 verstärkte Oligodendrozytenapoptose und klonale Expansion. Außerdem neigen ZNS- Lymphozyten aber nicht periphere CD8+ T- Zellen zur verstärkten Sekretion von proinflammatorischen Zytokinen. In P0+/- Mäusen führt Abwesenheit von PD-1 zu moderaten motorischen und sensorischen Störungen, was die wichtige Rolle von PD-1 in immunologischen Regulationsmechanismen unterstreicht. Zusammenfassend kann man festhalten, daß Granzym B ein wichtiges Effektormolekül zytotoxischer T- Zellen in PLPtg Mäusen ist. PD-1 spielt eine wichtige Rolle in der Regulation von Effektorzellen in unseren Modellen für zentrale und periphere Myelinopathien. Veränderungen dieser Regulation können deutliche Neuroinflammation mit starker Myelinpathologie hervorrufen. Diese Ergebnisse können dazu beitragen, die starke klinische Variabilität von polygenen und sogar monogenen neurologischen Erkrankungen zu erklären.
CHIKV is the prototype of Alphaviruses and it causes an acute febrile illness with rash, severely painful arthralgias, and sometimes arthritis. While CHIKV has first been identified in the 1950s in Africa, recent outbreaks of CHIKV in the islands of the Indian Ocean and particular in Italia have re-drawn attention to CHIKV. In the past CHIKV disease was considered self-limiting and non-fatal. However, a number of deaths on Reunion (Anonym, 2006) during the outbreak, which was affected directly or indirectly by CHIKV, have changed this view. To defeat CHIKV outbreaks diagnostic tools and anti CHIKV therapies are urgently needed. In this thesis, we generated tools to investigate CHIKV at the molecular level by serological tests. CHIKV was isolated from a German woman who was infected during her holidays on the Mauritius Island. To characterize this viral isolate the complete viral genome was amplified by PCR and molecular cloned. In order to analyse antibody responses of infected individuals some of the structural and non-structural genes were subcloned in bacterial expression vectors. The NSP2, proteinase, capsid, E1 and E2 were subsequently expressed in E.coli using purified successfully. In this thesis, the structural proteins were used to develop a screening test for anti-CHIKV antibodies in patient derived serum samples. These tests were evaluated with pre-characterized anti-CHIKV sera (30 samples) obtained from the BNI Hamburg and 100 serum samples from German blood donors used as negative controls. Immunoblotting analysis revealed that up to 77% of precharacterised positive sera could recognize the recombinant proteins and there were no detectable reactivity of CHIKV-negative German donor sera. The recombinant proteins were also recognized by 71.4% of positive sera in the newly established ELISA. In order to go further in analyses of the results, an in house IFA was performed. Positive sera (21 samples) were used. The results showed that all of them reacted positive, but this assay was less sensitive than the IFA from BNI. In comparison with the IFA result from BNI Hamburg, the results were not congruent in all test performed. This could be due to various drawbacks of the tests. A cross reaction in Alphaviruses and the different strains are mentioned as well as the denatured forms of the structural proteins. Besides the main structural proteins (E1, E2 and C), other proteins such as non-structural proteins, uncleaved precursor proteins could participate in the different outcomes of serological assays. In order to go further in the CHIKV diagnoses, the CHIKV recombinant proteins were applied to screen the anti-CHIKV antibodies in the Vietnamese population, who are considered to live in the high risk regions. In serological tests, 158 sera of Vietnamese donors were incubated with the recombinant proteins or the fixed CHIKV infected cells. The results showed that 24% of Vietnamese donor sera recognized the recombinant proteins in immunoblot assay, while 36% scored positive in the ELISA assay. In IFA, the sera considered positive were 11.4%. While some discrepancies in serological tests were found, these results showed that the ratio of CHIKV-positive sera seem to be equal to the other regions in the world, which are affected by CHIKV. It is suggested that CHIKV infection in Vietnam has been repeatedly misdiagnosed. This study cohort consisted only of samples originating from Hanoi area of Northern Vietnam, thus, future studies should expand to include samples from other Vietnam areas. To do this the various subtypes of the virus in the different regions should be isolated and the sequences of these viruses should be well characterized.
In radiation accidents biological methods are used in dosimetry, if the radiation dose could not be measured by physical methods. The knowledge of individual dose is a prerequisite for planning a medical treatment and for health risk evaluations. In the present work two biodosimetrical assays were calibrated in young patients who were treated with radioiodine for thyroid cancer. Patients were from Belarus. They suffered from radiation induced thyroid cancer as a consequence of the Chernobyl reactor accident. In radioiodine therapy (RIT) bone marrow and lymphatic organs are exposed to ionizing radiation at doses of 0.1 to 0.75 Sv within about 2 days. Since several RIT have to be applied with interval between each of them from 6 months up to approximately 1 year, total dose can be up to 2 Sv within 2 to 3 years. The dose for thyroid tissue is approximately 1000 times higher. The dose-response relationship was measured by the T-cell receptor test (TCR test) in T4 lymphocytes with and without in vitro incubation or by the micronucleus assay in transferrin receptor positive reticulocytes (MN-Tf-Ret test). In all these assays, the frequency of radiation-induced mutants of blood cells is measured using flow cytometry. The TCR test is a cumulative biodosimeter, which measures the total radiation dose within the last 5 to 10 years, whereas the result of the MN-Tf-Ret test reflects the radiation dose of approximately 24 hours interval. It takes 8 hours and 3 days to perform TCR and MN-Tf-Ret tests respectively. Calibration curves based on radioiodine treated patients can be used for dose estimation in humans, if the radiation conditions correspond to those in RIT. This limits their applicability to low dose-rate β- and γ-irradiation and to doses per session not higher than about 0.5 Sv. If higher doses or dose-rates as well as the other types of ionizing radiation are involved, calibration curves in animals are indispensable. In the case MN-Tf-Ret test mouse models are established and may be used. The TCR assay was performed in 72 thyroid cancer patients aged between 14 and 25. T-cell mutant frequency (Mf) reaches its maximum only after half a year following the RIT. Then it declines exponentially. This decline could be described by the 3 parameter single exponential decay function. Based on this equation, the radiation dose could be calculated when the Mf and the time interval since exposure are known. Furthermore, the experimentally measured Mf value, which significantly exceeds the corresponding calculated Mf value would indicate an individual with higher radiosensitivity. However, among our patients there were none. The reticulocytes micronuclei test (MN-Tf-Ret) was performed in 46 radioiodine treated patients. When measuring the MN frequency (f(MN-Tf-Ret)) the measured cell fraction should be limited only to the youngest cohort of reticulocytes, because all the micronucleated erythrocytes are quickly removed from the peripheral blood by spleen. Thus, the MN test was performed only in CD71 positive (having transferring receptor) reticulocytes. These reticulocytes just entered the peripheral blood flow from red marrow. The MN frequency was measured before the therapy and then every day after the irradiation until day 7. MN frequency curve has typical shape with latent period for days 0 to 3. Then there is a sharp increase in MN frequency which lasts for 24 hours and could start between days 3 and 4. In the following days the MN frequency is dropping to its base level that equals the one before the treatment. The decay of MN frequency is depending on the half-life of radioiodine in the patient organism. If the half-life is low, then the increased f(MN-Tf-Ret) lasts shorter and vice versa. It was shown that the MN frequency curve could be described by the model where all the micronuclei arise only through the last mitosis of erythroblasts in the red marrow and the MN frequency is proportional to the radiation dose in the last cell cycle. The shape of this curve depends on the cell kinetics of erythropoiesis on one side and the exponential decay of radioiodine activity on the other. To the best of our knowledge, the MN-Tf-Ret test was applied in the present study for the first time in biological dosimetry.
Past experience contributes to behavioural organization mainly via learning: Animals learn otherwise ordinary cues as predictors for biologically significant events. This thesis studies such predictive, associative learning, using the fruit fly Drosophila melanogaster. I ask two main questions, which complement each other: One deals with the processing of those cues that are to be learned as predictors for an important event; the other one deals with the processing of the important event itself, which is to be predicted. Do fruit flies learn about combinations of olfactory and visual cues? I probe larval as well as adult fruit flies for the learning about combinations of olfactory and visual cues, using a so called ‘biconditional discrimination’ task: During training, one odour is paired with reinforcement only in light, but not in darkness; the other odour in turn is reinforced only in darkness, but not in light. Thus, neither the odours nor the visual conditions alone predict reinforcement, only combinations of both do. I find no evidence that either larval or adult fruit flies were to solve such task, speaking against a cross-talk between olfactory and visual modalities. Previous studies however suggest such cross-talk. To reconcile these results, I suggest classifying different kinds of interaction between sensory modalities, according to their site along the sensory-motor continuum: I consider an interaction ‘truly’ cross-modal, if it is between the specific features of the stimuli. I consider an interaction ’amodal’ if it instead engages the behavioural tendencies or ‘values’ elicited by each stimulus. Such reasoning brings me to conclude that different behavioural tasks require different kinds of interaction between sensory modalities; whether a given kind of interaction will be found depends on the neuronal infrastructure, which is a function of the species and the developmental stage. Predictive learning of pain-relief in fruit flies Fruit flies build two opposing kinds of memory, based on an experience with electric shock: Those odours that precede shock during training are learned as predictors for punishment and are subsequently avoided; those odours that follow shock during training on the other hand are learned as signals for relief and are subsequently approached. I focus on such relief learning. I start with a detailed parametric analysis of relief learning, testing for reproducibility as well as effects of gender, repetition of training, odour identity, odour concentration and shock intensity. I also characterize how relief memories, once formed, decay. In addition, concerning the psychological mechanisms of relief learning, first, I show that relief learning establishes genuinely associative conditioned approach behaviour and second, I report that it is most likely not mediated by context associations. These results enable the following neurobiological analysis of relief learning; further, they will form in the future the basis for a mathematical model; finally, they will guide the researchers aiming at uncovering relief learning in other experimental systems. Next, I embark upon neurogenetic analysis of relief learning. First, I report that fruit flies mutant for the so called white gene build overall more ‘negative’ memories about an experience with electric shock. That is, in the white mutants, learning about the painful onset of shock is enhanced, whereas learning about the relieving offset of shock is diminished. As they are coherently affected, these two kinds of learning should be in a balance. The molecular mechanism of the effect of white on this balance remains unresolved. Finally, as a first step towards a neuronal circuit analysis of relief learning, I compare it to reward learning and punishment learning. I find that relief learning is distinct from both in terms of the requirement for biogenic amine signaling: Reward and punishment are respectively signalled by octopamine and dopamine, for relief learning, either of these seem dispensible. Further, I find no evidence for roles for two other biogenic amines, tyramine and serotonin in relief learning. Based on these findings I give directions for further research.
This thesis is dedicated to a theoretical study of the 1-band Hubbard model in the strong coupling limit. The investigation is based on the Dynamical Cluster Approximation (DCA) which systematically restores non-local corrections to the Dynamical Mean Field approximation (DMFA). The DCA is formulated in momentum space and is characterised by a patching of the Brillouin zone where momentum conservation is only recovered between two patches. The approximation works well if k-space correlation functions show a weak momentum dependence. In order to study the temperature and doping dependence of the spin- and charge excitation spectra, we explicitly extend the Dynamical Cluster Approximation to two-particle response functions. The full irreducible two-particle vertex with three momenta and frequencies is approximated by an effective vertex dependent on the momentum and frequency of the spin and/or charge excitations. The effective vertex is calculated by using the Quantum Monte Carlo method on the finite cluster whereas the analytical continuation of dynamical quantities is performed by a stochastic version of the maximum entropy method. A comparison with high temperature auxiliary field quantum Monte Carlo data serves as a benchmark for our approach to two-particle correlation functions. Our method can reproduce basic characteristics of the spin- and charge excitation spectrum. Near and beyond optimal doping, our results provide a consistent overall picture of the interplay between charge, spin and single-particle excitations: a collective spin mode emerges at optimal doping and sufficiently low temperatures in the spin response spectrum and exhibits the energy scale of the magnetic exchange interaction J. Simultaneously, the low energy single-particle excitations are characterised by a coherent quasiparticle with bandwidth J. The origin of the quasiparticle can be quite well understood in a picture of a more or less antiferromagnetic ordered background in which holes are dressed by spin-excitations to allow for a coherent motion. By increasing doping, all features which are linked to the spin-polaron vanish in the single-particle as well as two-particle spin response spectrum. In the second part of the thesis an analysis of superconductivity in the Hubbard model is presented. The superconducting instability is implemented within the Dynamical Cluster Approximation by essentially allowing U(1) symmetry breaking baths in the QMC calculations for the cluster. The superconducting transition temperature T_c is derived from the d-wave order parameter which is directly estimated on the Monte Carlo cluster. The critical temperature T_c is in astonishing agreement with the temperature scale estimated by the divergence of the pair-field susceptibility in the paramagnetic phase. A detailed study of the pseudo and superconducting gap is continued by the investigation of the local and angle-resolved spectral function.
Cognitive views of the psychopathology of anxiety propose that attentional biases toward threatening information play a substantial role in the disorders’ etiology and maintenance. For healthy subjects, converging evidence show that threatening stimuli attract attention and lead to enhanced activation in visual processing areas. It is assumed that this preferential processing of threat occurs at a preattentive level and is followed by fast attentional engagement. High-anxious individuals show augmented tendencies to selectively attend toward fear-relevant cues (Mathews, 1990) and exhibit elevated neural processing of threatening cues compared to non-anxious individuals (Dilger et al., 2003). Regarding attentional biases in high-anxious subjects, it remains unanswered up to now whether initial engagement of attention toward threat or difficulties to disengage from threat is an underlying mechanism. Furthermore, little is known whether the preferential (attentive) processing of threatening cues does influence perceptional outcomes of anxious subjects. In order to directly study separate components of attentional bias the first study of this dissertation was a combined reaction time and eye-tracking experiment. Twenty one spider phobic patients and 21 control participants were instructed to search for a neutral target while ignoring task-irrelevant abrupt-onset distractor circles which contained either a small picture of a spider (phobic), a flower (non-phobic, but similar to spiders in shape), a mushroom (non-phobic, and not similar to spiders in shape), or small circles with no picture. As expected, patients’ reaction times to targets were longer on trials with spider distractors. However, analyses of eye movements revealed that this was not due to attentional capture by spider distractors; patients more often fixated on all distractors with pictures. Instead, reaction times were delayed by longer fixation durations on spider distractors. This result does not support automatic capture of attention by phobic cues but suggests that phobic patients fail to disengage attention from spiders. To assess whether preferential processing of phobic cues differentially affects visual perception in phobic patients compared to healthy controls, the second study of this dissertation used a binocular rivalry paradigm, where two incompatible pictures were presented to each eye. These pictures cannot be merged to a meaningful percept and temporarily, one picture predominates in conscious perception whereas the other is suppressed. 23 spider phobic patients and 20 non-anxious control participants were shown standardized pictures of spiders or flowers, each paired with a neutral pattern under conditions of binocular rivalry. Their task was to continuously indicate the predominant percept by key presses. Analyses show that spider phobic patients perceived the spider picture more often and longer as dominant compared to non-anxious control participants. Thus, predominance of phobic cues in binocular rivalry provides evidence that preferential processing of fear-relevant cues in the visual system actually leads to superior perception. In combination both studies support the notion that phobic patients process phobic cues preferentially within the visual system resulting in enhanced attention and perception. At early stages of visual processing, this is mainly reflected by delayed attentional disengagement and across time, preferential processing leads to improved perception of threat cues.
Supersymmetry is currently the best motivated extension of the Standard Model and will be subject to extensive studies in the upcoming generation of colliders. The e-e- mode would be a straight forward extension to the currently planed International Linear Collider, planned to operate in e+e- mode. The low background in this mode may prove advantageous in the study of CP- and Lepton Flavour Violtation. In this work a CP sensitive observable based on transverse beam polarisation is introduced and the impact of neutralino mixing on the total cross section in cas of non-vanishing CP-violtating phases is studied in representative scenarios including non-GUT scenarios. Additionally, the mixing of sleptons is studied in the context of LFV, an analytical approximation is developed, and possible background free measurements of these effects are investigated.
In neurons the Ras signaling pathway is activated by a large number of various stimuli, including trophic factors, neurotransmitters and modulatory peptides. Guanine nucleotide exchange factors (GEFs) mediate the activation of Ras GTPases, by catalyzing the exchange of GDP for GTP, and facilitate signaling networks crosstalk. In this work, very-KIND (VKIND), a new brain specific RasGEF was structurally and functionally characterized. VKIND belongs to the KIND protein family along with the non-receptor tyrosine phosphatases type 13 and Spir actin nucleation factors. The kinase non-catalytic C-lobe domain (KIND) is similar to the C-terminal protein kinase catalytic fold (C-lobe) of the p21-activated kinase (PAK). The open reading frame (ORF) of the VKIND gene of 5229 base pairs was cloned. The VKIND ORF translates into a protein of 1742 amino acids residues with a size of 191 kD. The VKIND protein structure is highly conserved among species and at present the protein is found only in Vertebratae and Echinodermatae. The arrangement of two KIND domains at its amino-terminal region, KIND1 and KIND2, is depicted in its name. The KIND module functions as a molecular interaction structure that is deprived of any enzymatic activity. While the precise occupation of the KIND1 domain remains elusive, the KIND2 domain binds to the microtubules-associated protein 2 (MAP2). The protein central portion features two clusters of high conservation of yet unknown function as well as a coiled-coil motif with a putative multiple protein-protein interaction activity. At the carboxy-terminal region VKIND features a guanine nucleotide exchange factor for Ras-like small GTPases (RasGEF) with a structural RasGEFN motif attached at its N-terminal site. The VKIND RasGEF motif is structurally related to the yeast catalytic domain CDC25. The closest relation of the VKIND RasGEF domain with an average sequence identity of 23% is assigned to the RasGEF domains of exchange factors specific for Rap GTPases with two unique insertions: the first one of 24 amino acids in the N-terminal end of the domain (between helixes αA and αB of the SOS1 RasGEF module) and the second one of 11 amino acids in the C-terminal part (between, helixes αJ and αK of the Sos1 RasGEF module). The RasGEFN domain plays a critical role in sustaining the structural and catalytical integrity of the guanidine exchange factor. VKIND is specifically and highly expressed in the murine nervous system during embryonic development and adulthood. During embryogenesis VKIND expression is present in the murine neural tube, telencephalon, retinal ganglion cells, and rhombencephalon. In the adult murine brain VKIND expression is most prominent in the cerebellum, however exclusively restricted to the granular and Purkinje cell layers. Subcellular distribution studies and time-lapse analysis revealed the gradual accumulation of VKIND into highly motile circular particles which featured estimated maximum velocity of 12 μm/min. By merging the nascent structures progressively grew to estimated 2 μm in size suggesting a role for VKIND in the vesicular transport process. Furthermore, the KIND1/KIND2 region of the VKIND protein was found to be phosphorylated by the p38 mitogen-activated protein kinase (MAPK), recently discovered to induce neurite outgrowth in response to hyperosmotic shock. In the light of VKIND negatively controlling neurite outgrowth, further elucidation of the complex Ras pathways may provide rewarding insights in the neuronal physiology.