TY - JOUR A1 - Horn, A. A1 - Krist, L. A1 - Lieb, W. A1 - Montellano, F. A. A1 - Kohls, M. A1 - Haas, K. A1 - Gelbrich, G. A1 - Bolay-Gehrig, S. J. A1 - Morbach, C. A1 - Reese, J. P. A1 - Störk, S. A1 - Fricke, J. A1 - Zoller, T. A1 - Schmidt, S. A1 - Triller, P. A1 - Kretzler, L. A1 - Rönnefarth, M. A1 - Von Kalle, C. A1 - Willich, S. N. A1 - Kurth, F. A1 - Steinbeis, F. A1 - Witzenrath, M. A1 - Bahmer, T. A1 - Hermes, A. A1 - Krawczak, M. A1 - Reinke, L. A1 - Maetzler, C. A1 - Franzenburg, J. A1 - Enderle, J. A1 - Flinspach, A. A1 - Vehreschild, J. A1 - Schons, M. A1 - Illig, T. A1 - Anton, G. A1 - Ungethüm, K. A1 - Finkenberg, B. C. A1 - Gehrig, M. T. A1 - Savaskan, N. A1 - Heuschmann, P. U. A1 - Keil, T. A1 - Schreiber, S. T1 - Long-term health sequelae and quality of life at least 6 months after infection with SARS-CoV-2: design and rationale of the COVIDOM-study as part of the NAPKON population-based cohort platform (POP) JF - Infection N2 - Purpose Over the course of COVID-19 pandemic, evidence has accumulated that SARS-CoV-2 infections may affect multiple organs and have serious clinical sequelae, but on-site clinical examinations with non-hospitalized samples are rare. We, therefore, aimed to systematically assess the long-term health status of samples of hospitalized and non-hospitalized SARS-CoV-2 infected individuals from three regions in Germany. Methods The present paper describes the COVIDOM-study within the population-based cohort platform (POP) which has been established under the auspices of the NAPKON infrastructure (German National Pandemic Cohort Network) of the national Network University Medicine (NUM). Comprehensive health assessments among SARS-CoV-2 infected individuals are conducted at least 6 months after the acute infection at the study sites Kiel, Würzburg and Berlin. Potential participants were identified and contacted via the local public health authorities, irrespective of the severity of the initial infection. A harmonized examination protocol has been implemented, consisting of detailed assessments of medical history, physical examinations, and the collection of multiple biosamples (e.g., serum, plasma, saliva, urine) for future analyses. In addition, patient-reported perception of the impact of local pandemic-related measures and infection on quality-of-life are obtained. Results As of July 2021, in total 6813 individuals infected in 2020 have been invited into the COVIDOM-study. Of these, about 36% wished to participate and 1295 have already been examined at least once. Conclusion NAPKON-POP COVIDOM-study complements other Long COVID studies assessing the long-term consequences of an infection with SARS-CoV-2 by providing detailed health data of population-based samples, including individuals with various degrees of disease severity. Trial registration Registered at the German registry for clinical studies (DRKS00023742). KW - Long COVID KW - Sars-CoV-2 KW - on-site examination KW - internal medicine KW - neurological KW - population-based Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-308960 SN - 0300-8126 SN - 1439-0973 VL - 49 IS - 6 ER - TY - JOUR A1 - Peters, Marcell K. A1 - Hemp, Andreas A1 - Appelhans, Tim A1 - Behler, Christina A1 - Classen, Alice A1 - Detsch, Florian A1 - Ensslin, Andreas A1 - Ferger, Stefan W. A1 - Frederiksen, Sara B. A1 - Gebert, Frederike A1 - Haas, Michael A1 - Helbig-Bonitz, Maria A1 - Hemp, Claudia A1 - Kindeketa, William J. A1 - Mwangomo, Ephraim A1 - Ngereza, Christine A1 - Otte, Insa A1 - Röder, Juliane A1 - Rutten, Gemma A1 - Costa, David Schellenberger A1 - Tardanico, Joseph A1 - Zancolli, Giulia A1 - Deckert, Jürgen A1 - Eardley, Connal D. A1 - Peters, Ralph S. A1 - Rödel, Mark-Oliver A1 - Schleuning, Matthias A1 - Ssymank, Axel A1 - Kakengi, Victor A1 - Zhang, Jie A1 - Böhning-Gaese, Katrin A1 - Brandl, Roland A1 - Kalko, Elisabeth K.V. A1 - Kleyer, Michael A1 - Nauss, Thomas A1 - Tschapka, Marco A1 - Fischer, Markus A1 - Steffan-Dewenter, Ingolf T1 - Predictors of elevational biodiversity gradients change from single taxa to the multi-taxa community level JF - Nature Communications N2 - The factors determining gradients of biodiversity are a fundamental yet unresolved topic in ecology. While diversity gradients have been analysed for numerous single taxa, progress towards general explanatory models has been hampered by limitations in the phylogenetic coverage of past studies. By parallel sampling of 25 major plant and animal taxa along a 3.7 km elevational gradient on Mt. Kilimanjaro, we quantify cross-taxon consensus in diversity gradients and evaluate predictors of diversity from single taxa to a multi-taxa community level. While single taxa show complex distribution patterns and respond to different environmental factors, scaling up diversity to the community level leads to an unambiguous support for temperature as the main predictor of species richness in both plants and animals. Our findings illuminate the influence of taxonomic coverage for models of diversity gradients and point to the importance of temperature for diversification and species coexistence in plant and animal communities. KW - community ecology KW - macroecology KW - tropical ecology KW - biodiversity Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-169374 VL - 7 ER - TY - JOUR A1 - Kaltdorf, Martin A1 - Srivastava, Mugdha A1 - Gupta, Shishir K. A1 - Liang, Chunguang A1 - Binder, Jasmin A1 - Dietl, Anna-Maria A1 - Meir, Zohar A1 - Haas, Hubertus A1 - Osherov, Nir A1 - Krappmann, Sven A1 - Dandekar, Thomas T1 - Systematic Identification of Anti-Fungal Drug Targets by a Metabolic Network Approach JF - Frontiers in Molecular Bioscience N2 - New antimycotic drugs are challenging to find, as potential target proteins may have close human orthologs. We here focus on identifying metabolic targets that are critical for fungal growth and have minimal similarity to targets among human proteins. We compare and combine here: (I) direct metabolic network modeling using elementary mode analysis and flux estimates approximations using expression data, (II) targeting metabolic genes by transcriptome analysis of condition-specific highly expressed enzymes, and (III) analysis of enzyme structure, enzyme interconnectedness (“hubs”), and identification of pathogen-specific enzymes using orthology relations. We have identified 64 targets including metabolic enzymes involved in vitamin synthesis, lipid, and amino acid biosynthesis including 18 targets validated from the literature, two validated and five currently examined in own genetic experiments, and 38 further promising novel target proteins which are non-orthologous to human proteins, involved in metabolism and are highly ranked drug targets from these pipelines. KW - metabolism KW - targets KW - antimycotics KW - modeling KW - structure KW - interaction KW - fungicide Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-147396 VL - 3 ER - TY - JOUR A1 - Ziegler, Alice A1 - Meyer, Hanna A1 - Otte, Insa A1 - Peters, Marcell K. A1 - Appelhans, Tim A1 - Behler, Christina A1 - Böhning-Gaese, Katrin A1 - Classen, Alice A1 - Detsch, Florian A1 - Deckert, Jürgen A1 - Eardley, Connal D. A1 - Ferger, Stefan W. A1 - Fischer, Markus A1 - Gebert, Friederike A1 - Haas, Michael A1 - Helbig-Bonitz, Maria A1 - Hemp, Andreas A1 - Hemp, Claudia A1 - Kakengi, Victor A1 - Mayr, Antonia V. A1 - Ngereza, Christine A1 - Reudenbach, Christoph A1 - Röder, Juliane A1 - Rutten, Gemma A1 - Schellenberger Costa, David A1 - Schleuning, Matthias A1 - Ssymank, Axel A1 - Steffan-Dewenter, Ingolf A1 - Tardanico, Joseph A1 - Tschapka, Marco A1 - Vollstädt, Maximilian G. R. A1 - Wöllauer, Stephan A1 - Zhang, Jie A1 - Brandl, Roland A1 - Nauss, Thomas T1 - Potential of airborne LiDAR derived vegetation structure for the prediction of animal species richness at Mount Kilimanjaro JF - Remote Sensing N2 - The monitoring of species and functional diversity is of increasing relevance for the development of strategies for the conservation and management of biodiversity. Therefore, reliable estimates of the performance of monitoring techniques across taxa become important. Using a unique dataset, this study investigates the potential of airborne LiDAR-derived variables characterizing vegetation structure as predictors for animal species richness at the southern slopes of Mount Kilimanjaro. To disentangle the structural LiDAR information from co-factors related to elevational vegetation zones, LiDAR-based models were compared to the predictive power of elevation models. 17 taxa and 4 feeding guilds were modeled and the standardized study design allowed for a comparison across the assemblages. Results show that most taxa (14) and feeding guilds (3) can be predicted best by elevation with normalized RMSE values but only for three of those taxa and two of those feeding guilds the difference to other models is significant. Generally, modeling performances between different models vary only slightly for each assemblage. For the remaining, structural information at most showed little additional contribution to the performance. In summary, LiDAR observations can be used for animal species prediction. However, the effort and cost of aerial surveys are not always in proportion with the prediction quality, especially when the species distribution follows zonal patterns, and elevation information yields similar results. KW - biodiversity KW - species richness KW - LiDAR KW - elevation KW - partial least square regression KW - arthropods KW - birds KW - bats KW - predictive modeling Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-262251 SN - 2072-4292 VL - 14 IS - 3 ER -