Refine
Year of publication
Document Type
- Article (5135)
- Doctoral Thesis (1476)
- Part of Periodical (210)
- Conference Proceeding (164)
- Preprint (159)
- Book (85)
- Contribution to a Periodical (63)
- Review (38)
- Working Paper (22)
- Part of a Book (16)
Language
Keywords
- inflammation (80)
- COVID-19 (58)
- SARS-CoV-2 (48)
- apoptosis (38)
- glioblastoma (38)
- Inflammation (37)
- cancer (37)
- breast cancer (34)
- autophagy (29)
- prostate cancer (26)
Institute
- Medizin (7388) (remove)
Despite multimodal regimens and diverse treatment options alleviating disease symptoms, morbidity and mortality associated with advanced ischemic heart failure remain high. Recently, technological innovation has led to the development of regenerative therapeutic interventions aimed at halting or reversing the vicious cycle of heart failure progression. Driven by the unmet patient need and fueled by encouraging experimental studies, stem cell-based clinical trials have been launched over the past decade. Collectively, these trials have enrolled several thousand patients and demonstrated the clinical feasibility and safety of cell-based interventions. However, the totality of evidence supporting their efficacy in ischemic heart failure remains limited. Experience from the early randomized stem cell clinical trials underscores the key points in trial design ranging from adequate hypothesis formulation to selection of the optimal patient population, cell type and delivery route. Importantly, to translate the unprecedented promise of regenerative biotherapies into clinical benefit, it is crucial to ensure the appropriate choice of endpoints along the regulatory path. Accordingly, we here provide considerations relevant to the choice of endpoints for regenerative clinical trials in the ischemic heart failure setting.
Electrocardiograms (ECG) record the heart activity and are the most common and reliable method to detect cardiac arrhythmias, such as atrial fibrillation (AFib). Lately, many commercially available devices such as smartwatches are offering ECG monitoring. Therefore, there is increasing demand for designing deep learning models with the perspective to be physically implemented on these small portable devices with limited energy supply. In this paper, a workflow for the design of small, energy-efficient recurrent convolutional neural network (RCNN) architecture for AFib detection is proposed. However, the approach can be well generalized to every type of long time series. In contrast to previous studies, that demand thousands of additional network neurons and millions of extra model parameters, the logical steps for the generation of a CNN with only 114 trainable parameters are described. The model consists of a small segmented CNN in combination with an optimal energy classifier. The architectural decisions are made by using the energy consumption as a metric in an equally important way as the accuracy. The optimization steps are focused on the software which can be embedded afterwards on a physical chip. Finally, a comparison with some previous relevant studies suggests that the widely used huge CNNs for similar tasks are mostly redundant and unessentially computationally expensive.
Electrocardiograms (ECG) record the heart activity and are the most common and reliable method to detect cardiac arrhythmias, such as atrial fibrillation (AFib). Lately, many commercially available devices such as smartwatches are offering ECG monitoring. Therefore, there is increasing demand for designing deep learning models with the perspective to be physically implemented on these small portable devices with limited energy supply. In this paper, a workflow for the design of small, energy-efficient recurrent convolutional neural network (RCNN) architecture for AFib detection is proposed. However, the approach can be well generalized to every type of long time series. In contrast to previous studies, that demand thousands of additional network neurons and millions of extra model parameters, the logical steps for the generation of a CNN with only 114 trainable parameters are described. The model consists of a small segmented CNN in combination with an optimal energy classifier. The architectural decisions are made by using the energy consumption as a metric in an equally important way as the accuracy. The optimisation steps are focused on the software which can be embedded afterwards on a physical chip. Finally, a comparison with some previous relevant studies suggests that the widely used huge CNNs for similar tasks are mostly redundant and unessentially computationally expensive.
Objectives: The aim of our study was to find out how much energy is applicable in second-generation dual source high-pitch computed tomography (CT) in imaging of the abdomen.
Materials and methods: We examined an upper abdominal phantom using a Somatom Definition Flash CT-Scanner (Siemens, Forchheim, Germany). The study protocol consisted of a scan-series at 100 kV and 120 kV. In each scan series we started with a pitch of 3.2 and reduced it in steps of 0.2, until a pitch of 1.6 was reached. The current was adjusted to the maximum the scanner could achieve. Energy values, image noise, image quality, and radiation exposure were evaluated.
Results: For a pitch of 3.2 the maximum applicable current was 142 mAs at 120 kV and in 100 kV the maximum applicable current was 114 mAs. For conventional abdominal imaging, current levels of 200 to 260 mAs are generally used. To achieve similar current levels, we had to decrease the pitch to 1.8 at 100 kV - at this pitch we could perform our imaging at 204 mAs. At a pitch of 2.2 in 120 kV we could apply a current of 206 mAs.
Conclusion: We conclude our study by stating that if there is a need for a higher current, we have to reduce the pitch. In a high-pitch dual source CT, we always have to remember where our main focus is, so we can adjust the pitch to the energy we need in the area of the body that has to be imaged, to find answers to the clinical question being raised.
The main goal of the present study was the identification of cellular phenotypes in attention-deficit-/hyperactivity disorder (ADHD) patient-derived cellular models from carriers of rare copy number variants (CNVs) in the PARK2 locus that have been previously associated with ADHD. Human-derived fibroblasts (HDF) were cultured and human-induced pluripotent stem cells (hiPSC) were reprogrammed and differentiated into dopaminergic neuronal cells (mDANs). A series of assays in baseline condition and in different stress paradigms (nutrient deprivation, carbonyl cyanide m-chlorophenyl hydrazine (CCCP)) focusing on mitochondrial function and energy metabolism (ATP production, basal oxygen consumption rates, reactive oxygen species (ROS) abundance) were performed and changes in mitochondrial network morphology evaluated. We found changes in PARK2 CNV deletion and duplication carriers with ADHD in PARK2 gene and protein expression, ATP production and basal oxygen consumption rates compared to healthy and ADHD wildtype control cell lines, partly differing between HDF and mDANs and to some extent enhanced in stress paradigms. The generation of ROS was not influenced by the genotype. Our preliminary work suggests an energy impairment in HDF and mDAN cells of PARK2 CNV deletion and duplication carriers with ADHD. The energy impairment could be associated with the role of PARK2 dysregulation in mitochondrial dynamics.
Although the human immune response to cancer is naturally potent, it can be severely disrupted as a result of an immunosuppressive tumor microenvironment. Infiltrating regulatory T lymphocytes contribute to this immunosuppression by inhibiting proliferation of cytotoxic CD8+ T lymphocytes, which are key to an effective anti-cancer immune response. Other important contributory factors are thought to include metabolic stress caused by the local nutrient deprivation common to many solid tumors. Interleukin-33 (IL-33), an alarmin released in reaction to cell damage, and sphingosine-1-phosphate (S1P) are known to control cell positioning and differentiation of T lymphocytes. In an in vitro model of nutrient deprivation, we investigated the influence of IL-33 and S1P receptor 4 (S1P4) on the differentiation and migration of human CD8+ T lymphocytes. Serum starvation of CD8+ T lymphocytes induced a subset of CD8Low and IL-33 receptor-positive (ST2L+) cells characterized by enhanced expression of the regulatory T cell markers CD38 and CD39. Both S1P1 and S1P4 were transcriptionally regulated after stimulation with IL-33. Moreover, expression of the chemokine receptor CXCR4 was increased in CD8+ T lymphocytes treated with the selective S1P4 receptor agonist CYM50308. We conclude that nutrient deprivation promotes CD8Low T lymphocytes, contributing to an immunosuppressive microenvironment and a poor anti-cancer immune response by limiting cytotoxic effector functions. Our results suggest that S1P4 signaling modulation may be a promising target for anti-CXCR4 cancer immunotherapy.
Humanized mouse models have become increasingly valuable tools to study human hematopoiesis and infectious diseases. However, human T cell differentiation remains inefficient. We generated mice expressing human interleukin (IL-7), a critical growth and survival factor for T cells, under the control of murine IL-7 regulatory elements. After transfer of human cord blood-derived hematopoietic stem and progenitor cells, transgenic mice on the NSGW41 background, termed NSGW41hIL7, showed elevated and prolonged human cellularity in the thymus while maintaining physiological ratios of thymocyte subsets. As a consequence, numbers of functional human T cells in the periphery were increased without evidence for pathological lymphoproliferation or aberrant expansion of effector or memory-like T cells. We conclude that the novel NSGW41hIL7 strain represents an optimized mouse model for humanization to better understand human T cell differentiation in vivo and to generate a human immune system with a better approximation of human lymphocyte ratios.
umanized mouse models have become increasingly valuable tools to study human hematopoiesis and infectious diseases. However, human T-cell differentiation remains inefficient. We generated mice expressing human interleukin-7 (IL-7), a critical growth and survival factor for T cells, under the control of murine IL-7 regulatory elements. After transfer of human cord blood-derived hematopoietic stem and progenitor cells, transgenic mice on the NSGW41 background, termed NSGW41hIL7, showed elevated and prolonged human cellularity in the thymus while maintaining physiological ratios of thymocyte subsets. As a consequence, numbers of functional human T cells in the periphery were increased without evidence for pathological lymphoproliferation or aberrant expansion of effector or memory-like T cells. We conclude that the novel NSGW41hIL7 strain represents an optimized mouse model for humanization to better understand human T-cell differentiation in vivo and to generate a human immune system with a better approximation of human lymphocyte ratios.
Throughout the entire life, new neurons of the granule cell type (GCs) are continu-ously generated in the mammalian hippocampal dentate gyrus (DG). As a part of the limbic system, the hippocampus is concerned with spatial and declarative memory for-mation. Increasing evidence exists, that adult born granule cells (ABGCs) play an im-portant role in this process. An especially critical period, when these ABGCs are 4-6 weeks old, has come into the focus of research. It is during this specific time-span that the ABGCs express enhanced excitability and synaptic plasticity as well as a lowered threshold for the induction of long term potentiation (LTP), a mechanism associated to learning and memory formation.
This study investigates the time course and dynamics of synaptic integration in ABGCs and mature GCs together with which differences exist between them at various cell ages. Furthermore, spine plasticity following high frequency stimulation (HFS) is analysed focusing on a critical phase of enhanced excitability in 4-5 week old ABGCs.
In this thesis, two approaches at studying the synaptic integration and structural plas-ticity of ABGCs in rats were investigated. This work was performed on fixed brain ma-terial that was provided by two laboratories that performed the in vivo labelling, stimu-lation procedures and brain fixation. In the first project, 6, 12 and 35 weeks old XdU-labelled ABGCs were studied. Adult rats were exposed to an enriched environment and received unilateral intrahippocampal delta burst stimulation (DBS) and LTP induction. The ABGCs and a control population of mature GCs were immunohistologically ana-lysed for Egr1 (early growth response 1) expression. Egr1 is an immediate early gene (IEG), expressed after LTP induction and marks neuronal excitation.
It was found, that unilateral stimulation of the perforant path of the hippocampus re-sults in an increase of Egr1 expression in ABGCs of both hemispheres. It could be shown that the enhanced expression intensity of Egr1 in ABGCs is not a usual state of young GCs but a reaction to DBS. ABGCs from unstimulated control animals and mature GCs expressed lower levels of Egr1. Interestingly, the stimulation induced a similar degree of Egr1 expression intensity in all ABGC age groups. Furthermore, it was found that young ABGC from the infrapyramidal dentate gyrus (DG) express a higher excita-bility than those from the suprapyramidal DG.
In the second project, fixed brain sections were analysed. They stemmed from rat brains containing 28 and 35 day old ABGC that had been transfected with intrahippo-campal RV-GFP (retroviral-green fluorescent protein) injections and had received uni-lateral high frequency stimulation of the medial perforant path in vivo. Nuclear Egr1 expression intensity was analysed in a cell specific manner. Dendritic spine size was measured in the inner-, middle- and outer molecular layer (IML, MML, OML). It was found that in ABGC, stimulation induced Egr1 expression increase is lower than in ma-ture GC. Following HFS, a significant homosynaptic spine enlargement was observed in the MML indicating homosynaptic LTP, while heterosynaptic spine shrinkage was found in the adjacent IML and OML. The latter corresponds to heterosynaptic long term depression (LTD). Homosynaptic plasticity describes an input-specific potentiation of synapses that received direct activation. The weakening of synapses not stimulated dur-ing homosynaptic potentiation is oppositely coined heterosynaptic plasticity1.
A positive correlation between an increase in nuclear Egr1 expression intensity and spine enlargement due to homosynaptic plasticity induced by HFS could be shown. Concomitant heterosynaptic plasticity, as indicated by spine shrinkage was observed. Spine shrinkage in the IML and OML showed a negative correlation to a decrease in Egr1 intensity.
Taken together, the results provide detailed information on the gradual integration of ABGC with ongoing maturation. Cell specific proof for homo- and heterosynaptic plas-ticity following HFS was found in the critical period of synaptic integration of ABGCs.
Gene trapping is used to introduce insertional mutations into genes of mouse embryonic stem cells (ESCs). It is performed with gene trap vectors that simultaneously mutate and report the expression of the endogenous gene at the site of insertion and provide a DNA tag for rapid identification of the disrupted gene. Gene traps have been employed worldwide to assemble libraries of mouse ESC lines harboring mutations in single genes, which can be used to make mutant mice. However, most of the employed gene trap vectors require gene expression for reporting a gene trap event and therefore genes that are poorly expressed may be under-represented in the existing libraries. To address this problem, we have developed a novel class of gene trap vectors that can induce gene expression at insertion sites, thereby bypassing the problem of intrinsic poor expression. We show here that the insertion of the osteopontin enhancer into several conventional gene trap vectors significantly increases the gene trapping efficiency in high-throughput screens and facilitates the recovery of poorly expressed genes.