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Institute
- Theodor-Boveri-Institut für Biowissenschaften (115)
- Graduate School of Life Sciences (67)
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- Institut für Anorganische Chemie (44)
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Sonstige beteiligte Institutionen
- Siemens AG (2)
- Agricultural Center, BASF SE, 67117 Limburgerhof, Germany (1)
- Center of Excellence for Science and Technology - Integration of Mediterranean region (STIM), Faculty of Science, University of Split, Poljička cesta 35, 2100 Split, Croatia (1)
- Core Unit Systemmedizin (1)
- DFG Forschungsgruppe 2757 / Lokale Selbstregelungen im Kontext schwacher Staatlichkeit in Antike und Moderne (LoSAM) (1)
- Departamento de Química, Facultad de Ciencias, Universidad Autónoma de Madrid, 28049 Madrid, Spain (1)
- Department of Chemistry, Humboldt Universität zu Berlin, Brook-Taylor-Strasse 2, 12489 Berlin, Germany (1)
- Deutsches Archäologisches Institut (1)
- Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Raumfahrtsysteme (1)
- Institute of Organic Chemistry and Center for Molecular Biosciences Innsbruck, CMBI, Leopold-Franzens University Innsbruck, Austria (1)
Comparison of moving and fixed basis sets for nonadiabatic quantum dynamics at conical intersections
(2020)
We assess the performance of two different types of basis sets for nonadiabatic quantum dynamics at conical intersections. The basis sets of both types are generated using Ehrenfest trajectories of nuclear coherent states. These trajectories can either serve as a moving (time-dependent) basis or be employed to sample a fixed (time-independent) basis. We demonstrate on the example of two-state two-dimensional and three-state five-dimensional models that both basis set types can yield highly accurate results for population transfer at intersections, as compared with reference quantum dynamics. The details of wave packet evolutions are discussed for the case of the two-dimensional model. The fixed basis is found to be superior to the moving one in reproducing nonlocal spreading and maintaining correct shape of the wave packet upon time evolution. Moreover, for the models considered, the fixed basis set outperforms the moving one in terms of computational efficiency.
Objectives
Embedded in the Collaborative Research Center “Fear, Anxiety, Anxiety Disorders” (CRC‐TRR58), this bicentric clinical study aims at identifying biobehavioral markers of treatment (non‐)response by applying machine learning methodology with an external cross‐validation protocol. We hypothesize that a priori prediction of treatment (non‐)response is possible in a second, independent sample based on multimodal markers.
Methods
One‐session virtual reality exposure treatment (VRET) with patients with spider phobia was conducted on two sites. Clinical, neuroimaging, and genetic data were assessed at baseline, post‐treatment and after 6 months. The primary and secondary outcomes defining treatment response are as follows: 30% reduction regarding the individual score in the Spider Phobia Questionnaire and 50% reduction regarding the individual distance in the behavioral avoidance test.
Results
N = 204 patients have been included (n = 100 in Würzburg, n = 104 in Münster). Sample characteristics for both sites are comparable.
Discussion
This study will offer cross‐validated theranostic markers for predicting the individual success of exposure‐based therapy. Findings will support clinical decision‐making on personalized therapy, bridge the gap between basic and clinical research, and bring stratified therapy into reach. The study is registered at ClinicalTrials.gov (ID: NCT03208400).
Deterioration of gait and alterations of physiological gait initiation contribute significantly to the burden of disease in Parkinson's disease. This paper systematically investigates disease-specific alterations during the postural phases of gait initiation and demonstrates the influence of dopaminergic networks by assessing levodopa mediated improvements in motor performance and correlation of motor behavior with loss of striatal and cortical dopaminergic neurons. Particular attention is given to known confounders such as initial stance and anthropometrics.
Myeloid-derived suppressor cells (MDSCs) constitute of monocytic (M-MDSCs) and granulocytic cell subsets (G-MDSCs)and were initially described as suppressors of T-cell function in tumor microenvironments. Recent studies have shown the involvement of MDSCs in a number of infectious diseases including Mycobacterium tuberculosis (Mtb) infection. MDSCs are tremendously accumulated in patients with Mtb infection and exert a suppressive effect on T cell responses against mycobacteria. Mycobacterium bovis BCG, the only available vaccine against Mtb fails to protect against the adult pulmonary tuberculosis (TB). Understanding the mechanisms of MDSC suppression for immunity against mycobacterial infection will provide a rational basis to improve anti- TB vaccination and host-directed therapies against TB. In this study, we investigated the role of three lipid-rich components of the plasma membrane, Caveolin-1(Cav-1), Acid Sphingomyelinase (ASM) and asialo-GM1 on BCG-activated MDSCs.
Cav-1 is one of the vital components of caveolae (plasma membrane invaginations) which regulates apoptosis and lipid metabolism. In this work, we found that MDSCs upregulated Cav-1, TLR4 and TLR2 expression after BCG infection on the cell surface. However, Cav-1 deficiency resulted in a selective defect in the intracellular TLR2 accumulation in the M-MDSC, but not G-MDSC subset. Further analysis indicated no difference in the phagocytosis of BCG by M-MDSCs from WT and Cav1-/- mice but a reduced capacity to up-regulate surface markers, to secrete various cytokines, induce iNOS and NO production. These defects correlated with deficits of Cav1-/- MDSCs in the suppression of T cell proliferation. Among the signaling pathways that were affected by Cav-1 deficiency, we found lower phosphorylation of NF-kB and p38 mitogen-activated protein kinase (MAPK) in BCG - activated MDSCs.
ASM is an enzyme present in lysosomes and is translocated to the cell surface where it hydrolyzes sphingomyelin into ceramide. Flow cytometric studies revealed that MDSCs phagocytosed BCG independent of inhibiting ASMase using pharmacological inhibitors (amitryptiline or desipramine) or MDSCs from WT and ASM-/-. Suppression of ASMase or using ASM-/- MDSCs resulted in reduced NO production and decreased cytokine secretion by MDSCs in response to BCG. Furthermore, MDSCs inhibited by amitryptiline had impaired AKT phosphorylation upon BCG infection.
Asialo-GM1 is a ganglioside expressed on the cell surface of MDSCs reported to cooperate with TLR2 for activating ERK signaling. Here, in this study, we found that asialo-GM1 expression was upregulated specifically upon mycobacterial infection and not upon any other stimulus. We noted that the soluble form of asialo-GM1 bound to BCG. Flow cytometric studies revealed that blocking
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asialo-GM1 did not affect the phagocytosis of BCG into MDSCs. Furthermore, blocking of asialo- GM1 had no effect on the cytokine and NO secretion or AKT signaling.
Collectively, the data presented in this work implicated that Cav-1, ASM, asialo-GM1 are dispensable for the internalization of BCG. Rather, Cav-1 and ASM are required for the functional activation of MDSCs. Although asialo-GM1 binds to BCG, we did not find any difference in the functional activation of MDSCs after blocking asialo-GM1. This study provides insights into the role of lipid raft components of the MDSC cell membrane during mycobacterial infection.
In dynamic CE MR perfusion imaging the passage of an intravenously injected CA bolus through tissue is monitored to assess the myocardial pefusion state.
To enable this, knowledge of the shape of CA wash-in through upstream epicardial vessels is required, the so-called AIF.
For technical reasons this cannot be quantified directly in the supplying vessels and is thus measured in the left ventricle, which introduces the risk of systematic errors in quantification of MBF due to bolus dispersion in coronary vessels.
This means occuring CA dispersion must be accounted in the quantification process in order to produce reliable and reproducible results.
In order to do this, CFD simulations are performed to analyze and approximate these errors and deepen insights and knowledge gained from previous CFD analyses on both idealized as well as realistic and pathologically altered 3D geometries.
In a first step, several different procedures and approaches are undertaken in order to accelerate the performed workflow, however, maintaining a sufficient degree of numerical accuracy.
In the end, the implementation of these steps makes the analysis of the cardiovascular 3D model of unprecedented detail including vessels at pre-arteriolar level feasible at all.
The findings of the Navier-Stokes simulations are thus validated with regard to different aspects of cardiac blood flow.
These include the distribution of VBF into the different myocardial regions, the areals, which can be associated to the large coronary arteries as well as the fragmentation of VBF into vessels of different diameters.
The subsequently performed CA transport simulations yield results on the one hand confirming previous studies.
On the other hand, interesting additional knowledge about the behavior of CA dispersion in coronary arteries is obtained both regarding travelled distance as well as vessel diameters.
The relative dispersion of the so-called vascular transport function, a characterizing feature of vascular networks, shows a linear decrease with vessel diameter.
This results in asymptotically decreased additional dispersion of the CA time curve towards smaller and more distal vessels.
Nonetheless, perfusion quantification errors are subject to strong regional variability and reach an average value of $(-28\pm16)$ \% at rest across the whole myocardium.
Depending on the distance from the inlet and the considered coronary tree, MBF errors up to 62 \% are observed.
Background
- Brain-Computer Interfaces (BCI) enable their users to interact and communicate with the environment without requiring intact muscle control. To this end, brain activity is directly measured, digitized and interpreted by the computer. Thus, BCIs may be a valuable tool to assist severely or even completely paralysed patients. Many BCIs, however, rely on neurophysiological potentials evoked by visual stimulation, which can result in usability issues among patients with impaired vision or gaze control. Because of this, several non-visual BCI paradigms have been developed. Most notably, a recent study revealed promising results from a tactile BCI for wheelchair control. In this multi-session approach, healthy participants used the BCI to navigate a simulated wheelchair through a virtual apartment, which revealed not only that the BCI could be operated highly efficiently, but also that it could be trained over five sessions. The present thesis continues the research on this paradigm in order to - confirm its previously reported high performance levels and trainability - reveal the underlying factors responsible for observed performance increases - establish its feasibility among potential impaired end-users
Methods
- To approach these goals, three studies were conducted with both healthy participants and patients with amyotrophic lateral sclerosis (ALS). Brain activity during BCI operation was recorded via electroencephalography (EEG) and interpreted using a machine learning-based linear classifier. Wheelchair navigation was executed according to the classification results and visualized on a monitor. For offline statistical analysis, neurophysiological features were extracted from EEG data. Subjective data on usability were collected from all participants. Two specialized experiments were conducted to identify factors for training.
Results and Discussion
- Healthy participants: Results revealed positive effects of training on BCI performances and their underlying neurophysiological potentials. The paradigm was confirmed to be feasible and (for a non-visual BCI) highly efficient for most participants. However, some had to be excluded from analysis of the training effects because they could not achieve meaningful BCI control. Increased somatosensory sensitivity was identified as a possible mediator for training-related performance improvements. Participants with ALS: Out of seven patients with various stages of ALS, five could operate the BCI with accuracies significantly above chance level. Another ALS patient in a state of near-complete paralysis trained with the BCI for several months. Although no effects of training were observed, he was consistently able to operate the system above chance level. Subjective data regarding workload, satisfaction and other parameters were reported.
Significance
- The tactile BCI was evaluated on the example of wheelchair control. In the future, it could help impaired patients to regain some lost mobility and self-sufficiency. Further, it has the potential to be adapted to other purposes, including communication. Once visual BCIs and other assistive technologies fail for patients with (progressive) motor impairments, vision-independent paradigms such as the tactile BCI may be among the last remaining alternatives to interact with the environment. The present thesis has strongly confirmed the general feasibility of the tactile paradigm for healthy participants and provides first clues about the underlying factors of training. More importantly, the BCI was established among potential end-users with ALS, providing essential external validity.
This paper deals with the taxonomical position and the nomenclature of two taxa belonging to the genus Sedum (Crassulaceae), today treated as Phedimus, namely Sedum middendorffianum Maxim var. diffusum Praeger and Sedum oppositifolium Sims. The correct taxonomical application of names is based on the nomenclatural types designated here.
The ability to differentiate into mesenchymal lineages, as well as immunomodulatory, anti-inflammatory, anti-apoptotic, and angiogenic properties give ASCs great therapeutic potential. Through their culture as multicellular, three-dimensional spheroids this potential can even be enhanced. Accordingly, 3D spheroids are not only promising candidates for the application in regenerative medicine and inflammatory disease therapy, but also for the use as building blocks in tissue engineering approaches. Due to the resemblance to physiological cell-cell and cell-matrix interactions, 3D spheroids gain higher similarity to real tissues, what makes them a valuable tool in the development of bioactive constructs equivalent to native tissues in terms of its cellular and extracellular structure. Especially, to overcome the still tremendous clinical need for adequate implants to repair soft tissue defects, 3D spheroids consisting of ASCs are a promising approach in adipose tissue engineering. Nevertheless, studies on the use of ASC-based spheroids as building blocks for fat tissue reconstruction have so far been very rare. In order to optimally exploit their therapeutic potential to further their use in regenerative medicine, including adipose tissue engineering approaches, a 3D spheroid model consisting of ASCs was characterized extensively in this work. This included not only the elucidation of the structural features, but also the differentiation capacity, gene expression, and secretory properties. In addition, the elucidation of underlying mechanisms contributing to the improved therapeutic efficiency was addressed.
Merkel cell carcinoma (MCC) is a deadly skin cancer, and about 80% of its cases have been shown to harbor integrated Merkel polyomavirus in the tumor cell genome. Viral oncoproteins expressed in the tumor cells are considered as the oncogenic factors of these virus-positive Merkel cell carcinoma (VP-MCC). In contrast, the molecular pathogenesis of virus-negative MCC (VN-MCC) is less well understood. Using gene expression analysis of MCC cell lines, we found histone methyltransferase PRDM8 to be elevated in VN-MCC. This finding was confirmed by immunohistochemical analysis of MCC tumors, revealing that increased PRDM8 expression in VN-MCC is also associated with increased H3K9 methylation. CRISPR-mediated silencing of PRDM8 in MCC cells further supported the histone methylating role of this protein in VN-MCC. We also identified miR-20a-5p as a negative regulator of PRDM8. Taken together, our findings provide insights into the role of PRDM8 as a histone methyltransferase in VN-MCC tumorigenesis.
Liquid chromatography has become the gold standard for modern quality control and purity analytics since its establishment in the 1930s. However, some analytical questions remain very challenging even today. Several molecules and impurities do not possess a suitable chromophore for the application of UV detection or cannot be retained well on regular RP columns. Possible solutions are found in derivatization procedures, but they are time consuming and can be prone to errors. In order to detect non chromophore molecules underivatized, the concept of aerosol based universal detection was established with the introduction of the evaporative light scattering detector (ELSD) in the 1970s and the charged aerosol detector (CAD) followed in 2002. These two challenging fields – polar and non chromophore molecules – are tackled in this thesis.
An overview of applications of the CAD in the literature and a comparison to its aerosol based competitors and MS is presented, emphasizing on its high sensitivity and robustness. Parameters and techniques to overcome the drawbacks of CAD, such as the use of gradient compensation or adjusted evaporation temperatures are discussed. A consideration of aspects and drawbacks of data transformation such as the integrated power function value (PFV) in the GMP environment is performed.
A method for the fatty acid analysis in polysorbate 80 that was developed on HPLC CAD was transferred to UHPLC CAD. Time and eluent savings of over 75% and 40%, respectively, as well as ways to determine the optimal CAD parameters resulted from this investigation. The evaporation temperature was determined as the most crucial setting, which has to be adjusted with care. Optimal signal to noise ratios are found at a compromise between maintaining analyte signal and reducing background noise. The incorporation of semi volatile short chain fatty acids enabled the observation of differences based on volatility of the analyte. E.g. for semi volatiles, an improved linearity by means of adjusting the PFV is achieved at values below 1.0 instead of at elevated PFVs.
Using sugars and sugar related antibiotics, a proof-of-concept was given that artificial neural networks can describe correlations between the structure and physicochemical properties of molecules and their response in CAD. Quantitative structure property relationships obtained by design of experiment approaches were able to predict the response of unseen substances and yielded insights on the response generation of the detector, which heavily relies on the formed surface area of the dried particle. Further work can substantiate upon these findings, eventually building a library of diverse eluent compositions, analytes and settings.
In order to cope with a chromatographically challenging substances, the application of ion pairing reversed phase chromatography coupled to low wavelength UV detection has been shown as a possible approach for the amino acid L asparagine. A method capable of compendial purity analysis in one single HPLC approach, thus making the utilization of the semi quantitative TLC-ninhydrin analysis obsolete, resulted from this. One cyclic dipeptide impurity (diketoasparagine) that was formerly not assessed, could be identified in several batches and added to the monograph of the Ph.Eur.
Studying ibandronate sodium with CAD and ELSD, it was found that randomly occurring spike peaks represent a major flaw of the ELSD when high sample load is present. The research with this non chromophore bisphosphonate drug furthermore shed light on possible drawbacks of mixed mode chromatography methods and ways to overcome these issues. Due to strong adsorption of the analyte onto the column, over ten injections of the highly concentrated test solution were found to be necessary to ensure reproducible peak areas. Preconditioning steps should thus be evaluated for mixed mode approaches during method development and validation.
Last, using a ternary mixed mode stationary phase coupled to CAD, a method for the impurity profiling of pamidronate disodium, also applicable to the assessment of phosphate and phosphite in four other bisphosphonate drugs, has been developed. This represents a major advantage over the Ph.Eur. impurity profiling of pamidronate, which requires two different methods, one of which is only a semi quantitative TLC approach.