Proteomic profiling of longitudinal changes in kidney function among middle-aged and older men and women: the KORA S4/F4/FF4 study.
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| Title: | Proteomic profiling of longitudinal changes in kidney function among middle-aged and older men and women: the KORA S4/F4/FF4 study. |
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| Authors: | Lin JS; Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.; Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Faculty of Medicine, LMU Munich, Pettenkofer School of Public Health, Munich, Germany., Nano J; Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.; Chair of Epidemiology, Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Ludwig-Maximilians-Universität München, Munich, Germany., Petrera A; Metabolomics and Proteomics Core, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany., Hauck SM; Metabolomics and Proteomics Core, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany., Zeller T; University Center of Cardiovascular Science, University Heart and Vascular Center, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.; German Center for Cardiovascular Research (DZHK), Partner Site Hamburg, Hamburg, Germany., Koenig W; Deutsches Herzzentrum München, Technische Universität München, Munich, Germany.; German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany.; Institute of Epidemiology and Medical Biometry, University of Ulm, Ulm, Germany., Müller CL; Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany.; Helmholtz AI, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany.; Department of Statistics, Ludwig-Maximilians-Universität München, Munich, Germany.; Center for Computational Mathematics, Flatiron Institute, New York, USA., Peters A; Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.; Chair of Epidemiology, Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Ludwig-Maximilians-Universität München, Munich, Germany.; German Center for Diabetes Research (DZD), Partner München-Neuherberg, Neuherberg, Germany., Thorand B; Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstraße 1, 85764, Neuherberg, Germany. thorand@helmholtz-muenchen.de.; German Center for Diabetes Research (DZD), Partner München-Neuherberg, Neuherberg, Germany. thorand@helmholtz-muenchen.de. |
| Source: | BMC medicine [BMC Med] 2023 Jul 05; Vol. 21 (1), pp. 245. Date of Electronic Publication: 2023 Jul 05. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 101190723 Publication Model: Electronic Cited Medium: Internet ISSN: 1741-7015 (Electronic) Linking ISSN: 17417015 NLM ISO Abbreviation: BMC Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1741-7015 |
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| DOI: | 10.1186/s12916-023-02962-z |
