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1000 Titel
  • Multi-omic signature of body weight change: results from a population-based cohort study
1000 Autor/in
  1. Wahl, Simone |
  2. Vogt, Susanne |
  3. Stückler, Ferdinand |
  4. Krumsiek, Jan |
  5. Bartel, Jörg |
  6. Kacprowski, Tim |
  7. Schramm, Katharina |
  8. Carstensen, Maren |
  9. Rathmann, Wolfgang |
  10. Roden, Michael |
  11. Jourdan, Carolin |
  12. Kangas, Antti J |
  13. Soininen, Pasi |
  14. Ala-Korpela, Mika |
  15. Nöthlings, Ute |
  16. Boeing, Heiner |
  17. Theis, Fabian J |
  18. Meisinger, Christa |
  19. Waldenberger, Melanie |
  20. Suhre, Karsten |
  21. Homuth, Georg |
  22. Gieger, Christian |
  23. Kastenmüller, Gabi |
  24. Illig, Thomas |
  25. Linseisen, Jakob |
  26. Peters, Annette |
  27. Prokisch, Holger |
  28. Herder, Christian |
  29. Thorand, Barbara |
  30. Grallert, Harald |
1000 Erscheinungsjahr 2015
1000 Art der Datei
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2015-03-09
1000 Erschienen in
1000 Quellenangabe
  • 13: 48
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2015
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s12916-015-0282-y |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4367822/ |
1000 Ergänzendes Material
  • https://bmcmedicine.biomedcentral.com/articles/10.1186/s12916-015-0282-y#Declarations |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • BACKGROUND: Excess body weight is a major risk factor for cardiometabolic diseases. The complex molecular mechanisms of body weight change-induced metabolic perturbations are not fully understood. Specifically, in-depth molecular characterization of long-term body weight change in the general population is lacking. Here, we pursued a multi-omic approach to comprehensively study metabolic consequences of body weight change during a seven-year follow-up in a large prospective study. METHODS: We used data from the population-based Cooperative Health Research in the Region of Augsburg (KORA) S4/F4 cohort. At follow-up (F4), two-platform serum metabolomics and whole blood gene expression measurements were obtained for 1,631 and 689 participants, respectively. Using weighted correlation network analysis, omics data were clustered into modules of closely connected molecules, followed by the formation of a partial correlation network from the modules. Association of the omics modules with previous annual percentage weight change was then determined using linear models. In addition, we performed pathway enrichment analyses, stability analyses, and assessed the relation of the omics modules with clinical traits. RESULTS: Four metabolite and two gene expression modules were significantly and stably associated with body weight change (P-values ranging from 1.9 × 10−4 to 1.2 × 10−24). The four metabolite modules covered major branches of metabolism, with VLDL, LDL and large HDL subclasses, triglycerides, branched-chain amino acids and markers of energy metabolism among the main representative molecules. One gene expression module suggests a role of weight change in red blood cell development. The other gene expression module largely overlaps with the lipid-leukocyte (LL) module previously reported to interact with serum metabolites, for which we identify additional co-expressed genes. The omics modules were interrelated and showed cross-sectional associations with clinical traits. Moreover, weight gain and weight loss showed largely opposing associations with the omics modules. CONCLUSIONS: Long-term weight change in the general population globally associates with serum metabolite concentrations. An integrated metabolomics and transcriptomics approach improved the understanding of molecular mechanisms underlying the association of weight gain with changes in lipid and amino acid metabolism, insulin sensitivity, mitochondrial function as well as blood cell development and function.
1000 Sacherschließung
lokal Metabolomics
lokal Obesity
lokal Weight change
lokal Transcriptomics
lokal Molecular epidemiology
lokal Bioinformatics
1000 Fachgruppe
  1. Medizin |
  2. Gesundheitswesen |
  3. Ernährungswissenschaften |
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/creator/V2FobCwgU2ltb25l|https://frl.publisso.de/adhoc/creator/Vm9ndCwgU3VzYW5uZQ==|https://frl.publisso.de/adhoc/creator/U3TDvGNrbGVyLCBGZXJkaW5hbmQ=|https://frl.publisso.de/adhoc/creator/S3J1bXNpZWssIEphbg==|https://frl.publisso.de/adhoc/creator/QmFydGVsLCBKw7ZyZw==|https://frl.publisso.de/adhoc/creator/S2FjcHJvd3NraSwgVGlt|https://frl.publisso.de/adhoc/creator/U2NocmFtbSwgS2F0aGFyaW5h|https://frl.publisso.de/adhoc/creator/Q2Fyc3RlbnNlbiwgTWFyZW4=|https://frl.publisso.de/adhoc/creator/UmF0aG1hbm4sIFdvbGZnYW5n|http://d-nb.info/gnd/130812773|https://frl.publisso.de/adhoc/creator/Sm91cmRhbiwgQ2Fyb2xpbg==|https://frl.publisso.de/adhoc/creator/S2FuZ2FzLCBBbnR0aSBK|https://frl.publisso.de/adhoc/creator/U29pbmluZW4sIFBhc2k=|https://frl.publisso.de/adhoc/creator/QWxhLUtvcnBlbGEsIE1pa2E=|https://frl.publisso.de/adhoc/creator/TsO2dGhsaW5ncywgVXRl|https://frl.publisso.de/adhoc/creator/Qm9laW5nLCBIZWluZXI=|https://frl.publisso.de/adhoc/creator/VGhlaXMsIEZhYmlhbiBK|https://frl.publisso.de/adhoc/creator/TWVpc2luZ2VyLCBDaHJpc3Rh|https://frl.publisso.de/adhoc/creator/V2FsZGVuYmVyZ2VyLCBNZWxhbmll|https://frl.publisso.de/adhoc/creator/U3VocmUsIEthcnN0ZW4=|https://frl.publisso.de/adhoc/creator/SG9tdXRoLCBHZW9yZw==|https://frl.publisso.de/adhoc/creator/R2llZ2VyLCBDaHJpc3RpYW4=|https://frl.publisso.de/adhoc/creator/S2FzdGVubcO8bGxlciwgR2FiaQ==|https://frl.publisso.de/adhoc/creator/SWxsaWcsIFRob21hcw==|https://frl.publisso.de/adhoc/creator/TGluc2Vpc2VuLCBKYWtvYg==|https://frl.publisso.de/adhoc/creator/UGV0ZXJzLCBBbm5ldHRl|https://frl.publisso.de/adhoc/creator/UHJva2lzY2gsIEhvbGdlcg==|http://orcid.org/0000-0002-2050-093X|https://frl.publisso.de/adhoc/creator/VGhvcmFuZCwgQmFyYmFyYQ==|https://frl.publisso.de/adhoc/creator/R3JhbGxlcnQsIEhhcmFsZA==
1000 Förderer
  1. Kompetenznetz Adipositas (Competence Network Obesity) |
  2. Federal Ministry of Education and Research (BMBF) |
  3. German Center for Diabetes Research 8dzd9 |
  4. Studienstiftung des Deutschen Volkes |
  5. European Research Council |
  6. German Helmholtz Association |
  7. Academy of Finland |
  8. Sigrid Juselius Foundation |
  9. University of Oulu |
1000 Fördernummer
  1. -
  2. 01GI1121B
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1000 Förderprogramm
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  6. Postdoctoral Programme
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  9. Strategic Research Funding
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Kompetenznetz Adipositas (Competence Network Obesity) |
    1000 Förderprogramm -
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer Federal Ministry of Education and Research (BMBF) |
    1000 Förderprogramm -
    1000 Fördernummer 01GI1121B
  3. 1000 joinedFunding-child
    1000 Förderer German Center for Diabetes Research 8dzd9 |
    1000 Förderprogramm -
    1000 Fördernummer -
  4. 1000 joinedFunding-child
    1000 Förderer Studienstiftung des Deutschen Volkes |
    1000 Förderprogramm -
    1000 Fördernummer -
  5. 1000 joinedFunding-child
    1000 Förderer European Research Council |
    1000 Förderprogramm starting grant (LatentCauses)
    1000 Fördernummer -
  6. 1000 joinedFunding-child
    1000 Förderer German Helmholtz Association |
    1000 Förderprogramm Postdoctoral Programme
    1000 Fördernummer -
  7. 1000 joinedFunding-child
    1000 Förderer Academy of Finland |
    1000 Förderprogramm -
    1000 Fördernummer -
  8. 1000 joinedFunding-child
    1000 Förderer Sigrid Juselius Foundation |
    1000 Förderprogramm -
    1000 Fördernummer -
  9. 1000 joinedFunding-child
    1000 Förderer University of Oulu |
    1000 Förderprogramm Strategic Research Funding
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6406014.rdf
1000 Erstellt am 2017-12-21T19:09:42.770+0100
1000 Erstellt von 218
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1000 Zuletzt bearbeitet Tue Dec 11 10:53:47 CET 2018
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