@article{ChenReiherHermannLuibletal.2016, author = {Chen, Jiangtian and Reiher, Wencke and Hermann-Luibl, Christiane and Sellami, Azza and Cognigni, Paola and Kondo, Shu and Helfrich-F{\"o}rster, Charlotte and Veenstra, Jan A. and Wegener, Christian}, title = {Allatostatin A Signalling in Drosophila Regulates Feeding and Sleep and Is Modulated by PDF}, series = {PLoS Genetics}, volume = {12}, journal = {PLoS Genetics}, number = {9}, doi = {10.1371/journal.pgen.1006346}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-178170}, year = {2016}, abstract = {Feeding and sleep are fundamental behaviours with significant interconnections and cross-modulations. The circadian system and peptidergic signals are important components of this modulation, but still little is known about the mechanisms and networks by which they interact to regulate feeding and sleep. We show that specific thermogenetic activation of peptidergic Allatostatin A (AstA)-expressing PLP neurons and enteroendocrine cells reduces feeding and promotes sleep in the fruit fly Drosophila. The effects of AstA cell activation are mediated by AstA peptides with receptors homolog to galanin receptors subserving similar and apparently conserved functions in vertebrates. We further identify the PLP neurons as a downstream target of the neuropeptide pigment-dispersing factor (PDF), an output factor of the circadian clock. PLP neurons are contacted by PDF-expressing clock neurons, and express a functional PDF receptor demonstrated by cAMP imaging. Silencing of AstA signalling and continuous input to AstA cells by tethered PDF changes the sleep/activity ratio in opposite directions but does not affect rhythmicity. Taken together, our results suggest that pleiotropic AstA signalling by a distinct neuronal and enteroendocrine AstA cell subset adapts the fly to a digestive energy-saving state which can be modulated by PDF.}, language = {en} } @article{FroehlichSassenrathNadjiOhletal.2022, author = {Fr{\"o}hlich, Ellen and Sassenrath, Claudia and Nadji-Ohl, Minou and Unteroberd{\"o}rster, Meike and R{\"u}ckriegel, Stefan and Brelie, Christian von der and Roder, Constantin and Forster, Marie-Therese and Schommer, Stephan and L{\"o}hr, Mario and Pala, Andrej and Goebel, Simone and Mielke, Dorothee and Gerlach, R{\"u}diger and Renovanz, Mirjam and Wirtz, Christian Rainer and Onken, Julia and Czabanka, Marcus and Tatagiba, Marcos Soares and Rohde, Veit and Ernestus, Ralf-Ingo and Vajkoczy, Peter and Gansland, Oliver and Coburger, Jan}, title = {Resilience in lower grade glioma patients}, series = {Cancers}, volume = {14}, journal = {Cancers}, number = {21}, issn = {2072-6694}, doi = {10.3390/cancers14215410}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-297518}, year = {2022}, abstract = {Current data show that resilience is an important factor in cancer patients' well-being. We aim to explore the resilience of patients with lower grade glioma (LGG) and the potentially influencing factors. We performed a cross-sectional assessment of adult patients with LGG who were enrolled in the LoG-Glio registry. By phone interview, we administered the following measures: Resilience Scale (RS-13), distress thermometer, Montreal Cognitive Assessment Test for visually impaired patients (MoCA-Blind), internalized stigmatization by brain tumor (ISBI), Eastern Cooperative Oncological Group performance status (ECOG), patients' perspective questionnaire (PPQ) and typical clinical parameters. We calculated correlations and multivariate regression models. Of 74 patients who were assessed, 38\% of those showed a low level of resilience. Our results revealed significant correlations of resilience with distress (p < 0.001, -0.49), MOCA (p = 0.003, 0.342), ECOG (p < 0.001, -0.602), stigmatization (p < 0.001, -0.558), pain (p < 0.001, -0.524), and occupation (p = 0.007, 0.329). In multivariate analyses, resilience was negatively associated with elevated ECOG (p = 0.020, β = -0.383) and stigmatization levels (p = 0.008, β = -0.350). Occupation showed a tendency towards a significant association with resilience (p = 0.088, β = -0.254). Overall, low resilience affected more than one third of our cohort. Low functional status is a specific risk factor for low resilience. The relevant influence of stigmatization on resilience is a novel finding for patients suffering from a glioma and should be routinely identified and targeted in clinical routine.}, language = {en} } @article{MetzenmacherVaraljaiHegeduesetal.2020, author = {Metzenmacher, Martin and V{\´a}raljai, Ren{\´a}ta and Heged{\"u}s, Balazs and Cima, Igor and Forster, Jan and Schramm, Alexander and Scheffler, Bj{\"o}rn and Horn, Peter A. and Klein, Christoph A. and Szarvas, Tibor and Reis, Hennig and Bielefeld, Nicola and Roesch, Alexander and Aigner, Clemens and Kunzmann, Volker and Wiesweg, Marcel and Siveke, Jens T. and Schuler, Martin and Lueong, Smiths S.}, title = {Plasma Next Generation Sequencing and Droplet Digital-qPCR-Based Quantification of Circulating Cell-Free RNA for Noninvasive Early Detection of Cancer}, series = {Cancers}, volume = {12}, journal = {Cancers}, number = {2}, issn = {2072-6694}, doi = {10.3390/cancers12020353}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-200553}, year = {2020}, abstract = {Early detection of cancer holds high promise for reducing cancer-related mortality. Detection of circulating tumor-specific nucleic acids holds promise, but sensitivity and specificity issues remain with current technology. We studied cell-free RNA (cfRNA) in patients with non-small cell lung cancer (NSCLC; n = 56 stage IV, n = 39 stages I-III), pancreatic cancer (PDAC, n = 20 stage III), malignant melanoma (MM, n = 12 stage III-IV), urothelial bladder cancer (UBC, n = 22 stage II and IV), and 65 healthy controls by means of next generation sequencing (NGS) and real-time droplet digital PCR (RT-ddPCR). We identified 192 overlapping upregulated transcripts in NSCLC and PDAC by NGS, more than 90\% of which were noncoding. Previously reported transcripts (e.g., HOTAIRM1) were identified. Plasma cfRNA transcript levels of POU6F2-AS2 discriminated NSCLC from healthy donors (AUC = 0.82 and 0.76 for stages IV and I-III, respectively) and significantly associated (p = 0.017) with the established tumor marker Cyfra 21-1. cfRNA yield and POU6F2-AS transcript abundance discriminated PDAC patients from healthy donors (AUC = 1.0). POU6F2-AS2 transcript was significantly higher in MM (p = 0.044). In summary, our findings support further validation of cfRNA detection by RT-ddPCR as a biomarker for early detection of solid cancers.}, language = {en} }