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The present antithrombotic drugs used to treat or prevent ischemic stroke have significant limitations: either they show only moderate efficacy (platelet inhibitors), or they significantly increase the risk for hemorrhages (thrombolytics, anticoagulants). Although most strokes are caused by thrombotic or embolic vessel occlusions, the pathophysiological role of platelets and coagulation is largely unclear. The introduction of novel transgenic mouse models and specific coagulation inhibitors facilitated a detailed analysis of molecular pathways mediating thrombus formation in models of acute ischemic stroke. Prevention of early platelet adhesion to the damaged vessel wall by blocking platelet surface receptors glycoprotein Ib alpha (GPIbα) or glycoprotein VI (GPVI) protects from stroke without provoking bleeding complications. In addition, downstream signaling of GPIbα and GPVI has a key role in platelet calcium homeostasis and activation. Finally, the intrinsic coagulation cascade, activated by coagulation factor XII (FXII), has only recently been identified as another important mediator of thrombosis in cerebrovascular disease, thereby disproving established concepts. This review summarizes the latest insights into the pathophysiology of thrombus formation in the ischemic brain. Potential clinical merits of novel platelet inhibitors and anticoagulants as powerful and safe tools to combat ischemic stroke are discussed.
Consider the situation where two or more images are taken from the same object. After taking the first image, the object is moved or rotated so that the second recording depicts it in a different manner. Additionally, take heed of the possibility that the imaging techniques may have also been changed. One of the main problems in image processing is to determine the spatial relation between such images. The corresponding process of finding the spatial alignment is called “registration”. In this work, we study the optimization problem which corresponds to the registration task. Especially, we exploit the Lie group structure of the set of transformations to construct efficient, intrinsic algorithms. We also apply the algorithms to medical registration tasks. However, the methods developed are not restricted to the field of medical image processing. We also have a closer look at more general forms of optimization problems and show connections to related tasks.
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.
Background: Melatonin (MLT) has many health implications, therefore it is of valuable importance to develop specific analytical methods for determination of MLT in the presence of its main contaminant, N-{2-[1-({3-[2(acetylamino)ethyl]-5-methoxy-1H-indol-2-yl}methyl)-5-methoxy-1H-indol-3-yl]ethyl}acetamide (10). For development of these analytical methods, compound 10 had to be prepared in an adequate amount.
Results: Compound 10 was synthesized in six steps starting from 5-methoxyindole-2-carboxylic acid (1). Analytical performance of the proposed spectrofluorimetric methods was statistically validated with respect to linearity, accuracy, precision and specificity. The proposed methods were successfully applied for the assay of MLT in laboratory prepared mixtures containing up to 60 % of compound 10 and in commercial MLT tablets with recoveries not less than 99.00 %. No interference was observed from common pharmaceutical additives and the results were favorably compared with those obtained by a reference method.
Conclusions: This work describes simple, sensitive, and reliable second derivative spectrofluorimetric method in addition to two multivariate calibration methods, principal component regression (PCR) and partial least square (PLS), for the determination of MLT in the presence of compound 10.
Background: Melatonin (MLT) has many health implications, therefore it is of valuable importance to develop specific analytical methods for determination of MLT in the presence of its main contaminant, N-{2-[1-({3-[2-(acetylamino)ethyl]-5-methoxy-1H-indol-2-yl}methyl)-5-methoxy-1H-indol-3-yl]ethyl}acetamide (10). For development of these analytical methods, compound 10 had to be prepared in an adequate amount. Results: Compound 10 was synthesized in six steps starting from 5-methoxyindole-2-carboxylic acid (1). Analytical performance of the proposed spectrofluorimetric methods was statistically validated with respect to linearity, accuracy, precision and specificity. The proposed methods were successfully applied for the assay of MLT in laboratory prepared mixtures containing up to 60 % of compound 10 and in commercial MLT tablets with recoveries not less than 99.00 %. No interference was observed from common pharmaceutical additives and the results were favorably compared with those obtained by a reference method. Conclusions: This work describes simple, sensitive, and reliable second derivative spectrofluorimetric method in addition to two multivariate calibration methods, principal component regression (PCR) and partial least square (PLS), for the determination of MLT in the presence of compound 10.
The high failure rate of new drug candidates in preclinical or clinical studies due to hepatotoxicity represents a considerable problem in the drug development. Hence, there is an urgent need to develop new approaches for early and reliable prediction of drug-induced hepatotoxicity that enables a better identification of drug candidates with high potential for toxicity at early stages of drug development. Therefore, the aim of this work was to improve the prediction of drug-induced liver injury in preclinical studies through evaluation of more reliable and sensitive biomarkers of hepatotoxicity and a better understanding of the underlying mechanistic basis for drug-induced toxicity. First, the ability of a set of potential markers (NGAL, thiostatin, clusterin, PON1) to detect early signs of liver injury was assessed in rats treated with drug candidates that were dropped from further development, in part due to toxic adverse effects in the liver. In summary, PON1 and clusterin were not consistently altered in response to liver injury and thus provide no additive information to the traditional liver enzymes in detecting drug-induced hepatotoxicity. In contrast, thiostatin and NGAL were increased in serum and urine of treated animals in a time- and dose-dependent manner. These changes correlated well with mRNA expression in the target organ and generally reflected the onset and degree of drug-induced liver injury. Receiver-operating characteristics analyses supported serum thiostatin, but not NGAL, as a better indicator of drug-induced hepatobiliary injury than conventional clinical chemistry parameters, such as ALP, ALT and AST. Although thiostatin, an acute phase protein expressed in a range of tissues, may not be specific for liver injury, our results indicate that thiostatin may serve as a sensitive, minimally-invasive diagnostic marker of inflammation and tissue damage in preclinical safety assessment. In the second part of this work, combined application of genomics profiling technology and RNAi to inhibit the pharmacological target of a drug candidate BAY16, a glucagon receptor (GCGR) antagonist, was used to determine if interference with the pharmacological target plays a role in the toxic response to BAY16, and to narrow down those molecular changes that are associated with toxicity, and not the pharmacological action of BAY16. In contrast to Bay 16, which was found to be cytotoxic at concentrations of 75 µM, silencing of the glucagon receptor did not affect cell viability in primary rat hepatocytes. Thus, it can be concluded that hepatotoxicity of Bay 16 was not related to the drugs inhibitory effect on the glucagon receptor in vitro and in vivo. These findings were supported by the fact that most of BAY16-induced changes in gene expression occurred independently of the pharmacological modulation of GCGR. These off-target effects include altered xenobiotic metabolism, oxidative stress, increased fatty acid synthesis, and alterations in cholesterol and bile acid metabolic processes. Although it was not possible to draw a final conclusion about the mechanism of BAY16 hepatotoxicity, changes in these molecular mechanisms appear contribute to progression of hepatic injury. With regard to drug safety assessment in preclinical studies, the utilization of siRNA technology in vitro represents a new approach to improve mechanistic understanding of the nature of drug’s toxicity, being either chemically mediated or due to primary or secondary pharmacological mode of action.
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.
The 7th International Symposium on Neuroprotection and Neurorepair was held from May 2nd to May 5th, 2012 in Potsdam, Germany. The symposium, which directly continues the successful Magdeburg meeting series, attracted over 330 colleagues from 29 countries to discuss recent findings and advances in the field. The focus of the 2012 symposium was widened from stroke and traumatic brain injury to neurodegenerative diseases, notably dementia, and more generally the ageing brain. Thereby, emphasis was given on neurovascular aspects of neurodegeneration and stroke including the blood–brain barrier, recent findings regarding the pathomechanism of Alzheimer’s disease, and brain imaging approaches. In addition, neurobiochemical aspects of neuroprotection, the role of astrogliosis, the clinical progress of cell-based approaches as well as translational hurdles and opportunities were discussed in-depth. This review summarizes some of the most stimulating discussions and reports from the meeting.
Neuroprotection aims to prevent salvageable neurons from dying. Despite showing efficacy in experimental stroke studies, the concept of neuroprotection has failed in clinical trials. Reasons for the translational difficulties include a lack of methodological agreement between preclinical and clinical studies and the heterogeneity of stroke in humans compared to homogeneous strokes in animal models. Even when the international recommendations for preclinical stroke research, the Stroke Academic Industry Roundtable (STAIR) criteria, were followed, we have still seen limited success in the clinic, examples being NXY-059 and haematopoietic growth factors which fulfilled nearly all the STAIR criteria. However, there are a number of neuroprotective treatments under investigation in clinical trials such as hypothermia and ebselen. Moreover, promising neuroprotective treatments based on a deeper understanding of the complex pathophysiology of ischemic stroke such as inhibitors of NADPH oxidases and PSD-95 are currently evaluated in preclinical studies. Further concepts to improve translation include the investigation of neuroprotectants in multicenter preclinical Phase III-type studies, improved animal models, and close alignment between clinical trial and preclinical methodologies. Future successful translation will require both new concepts for preclinical testing and innovative approaches based on mechanistic insights into the ischemic cascade.
Mice overexpressing proteolipid protein (PLP) develop a leukodystrophy-like disease involving cytotoxic, CD8+ T-lymphocytes. Here we show that these cytotoxic T-lymphocytes perturb retrograde axonal transport. Using fluorogold stereotactically injected into the colliculus superior, we found that PLP overexpression in oligodendrocytes led to significantly reduced retrograde axonal transport in retina ganglion cell axons. We also observed an accumulation of mitochondria in the juxtaparanodal axonal swellings, indicative for a disturbed axonal transport. PLP overexpression in the absence of T-lymphocytes rescued retrograde axonal transport defects and abolished axonal swellings. Bone marrow transfer from wildtype mice, but not from perforin- or granzyme B-deficient mutants, into lymphocyte-deficient PLP mutant mice led again to impaired axonal transport and the formation of axonal swellings, which are predominantly located at the juxtaparanodal region. This demonstrates that the adaptive immune system, including cytotoxic T-lymphocytes which release perforin and granzyme B, are necessary to perturb axonal integrity in the PLP-transgenic disease model. Based on our observations, so far not attended molecular and cellular players belonging to the immune system should be considered to understand pathogenesis in inherited myelin disorders with progressive axonal damage.