Download
journal.pone.0157733.pdf 615,73KB
WeightNameValue
1000 Titel
  • Specific Metabolic Markers Are Associated with Future Waist-Gaining Phenotype in Women
1000 Autor/in
  1. Merz, Benedikt |
  2. Nöthlings, Ute |
  3. Wahl, Simone |
  4. Haftenberger, Marjolein |
  5. Schienkiewitz, Anja |
  6. Adamski, Jerzy |
  7. Suhre, Karsten |
  8. Wang-Sattler, Rui |
  9. Grallert, Harald |
  10. Thorand, Barbara |
  11. Pischon, Tobias |
  12. Bachlechner, Ursula |
  13. Floegel, Anna |
  14. Peters, Annette |
  15. Böing, Heiner |
1000 Erscheinungsjahr 2016
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2016-06-20
1000 Erschienen in
1000 Quellenangabe
  • 11(6): e0157733
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2016
1000 Lizenz
1000 Verlagsversion
  • https://dx.doi.org/10.1371/journal.pone.0157733 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4920591/ |
1000 Ergänzendes Material
  • http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0157733#sec021 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • OBJECTIVE: Our study aims to identify metabolic markers associated with either a gain in abdominal (measured by waist circumference) or peripheral (measured by hip circumference) body fat mass. METHODS: Data of 4 126 weight-gaining adults (18-75 years) from three population-based, prospective German cohort studies (EPIC, KORA, DEGS) were analysed regarding a waist-gaining (WG) or hip-gaining phenotype (HG). The phenotypes were obtained by calculating the differences of annual changes in waist minus hip circumference. The difference was displayed for all cohorts. The highest 10% of this difference were defined as WG whereas the lowest 10% were defined as HG. A total of 121 concordant metabolite measurements were conducted using Biocrates AbsoluteIDQ® kits in EPIC and KORA. Sex-specific associations with metabolite concentration as independent and phenotype as the dependent variable adjusted for confounders were calculated. The Benjamini-Hochberg method was used to correct for multiple testing. RESULTS: Across studies both sexes gained on average more waist than hip circumference. We could identify 12 metabolites as being associated with the WG (n = 8) or HG (n = 4) in men, but none were significant after correction for multiple testing; 45 metabolites were associated with the WG (n = 41) or HG (n = 4) in women. For WG, n = 21 metabolites remained significant after correction for multiple testing. Respective odds ratios (OR) ranged from 0.66 to 0.73 for tryptophan, the diacyl-phosphatidylcholines (PC) C32:3, C36:0, C38:0, C38:1, C42:2, C42:5, the acyl-alkyl-PCs C32:2, C34:0, C36:0, C36:1, C36:2, C38:0, C38:2, C40:1, C40:2, C40:5, C40:6, 42:2, C42:3 and lyso-PC C17:0. CONCLUSION: Both weight-gaining men and women showed a clear tendency to gain more abdominal than peripheral fat. Gain of abdominal fat seems to be related to an initial metabolic state reflected by low concentrations of specific metabolites, at least in women. Thus, higher levels of specific PCs may play a protective role in gaining waist circumference.
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/creator/TWVyeiwgQmVuZWRpa3Q=|https://frl.publisso.de/adhoc/creator/TsO2dGhsaW5ncywgVXRl|https://frl.publisso.de/adhoc/creator/V2FobCwgU2ltb25l|https://frl.publisso.de/adhoc/creator/SGFmdGVuYmVyZ2VyLCBNYXJqb2xlaW4=|https://frl.publisso.de/adhoc/creator/U2NoaWVua2lld2l0eiwgQW5qYQ==|https://frl.publisso.de/adhoc/creator/QWRhbXNraSwgSmVyenk=|https://frl.publisso.de/adhoc/creator/U3VocmUsIEthcnN0ZW4=|https://frl.publisso.de/adhoc/creator/V2FuZy1TYXR0bGVyLCBSdWk=|https://frl.publisso.de/adhoc/creator/R3JhbGxlcnQsIEhhcmFsZA==|https://frl.publisso.de/adhoc/creator/VGhvcmFuZCwgQmFyYmFyYQ==|https://frl.publisso.de/adhoc/creator/UGlzY2hvbiwgVG9iaWFz|https://frl.publisso.de/adhoc/creator/QmFjaGxlY2huZXIsIFVyc3VsYQ==|http://d-nb.info/gnd/1118006844|https://frl.publisso.de/adhoc/creator/UGV0ZXJzLCBBbm5ldHRl|http://d-nb.info/gnd/1111919534
1000 Label
1000 Förderer
  1. Federal Ministry of Education and Research |
  2. Weill Cornell Medical College in Qatar |
  3. Qatar Foundation |
  4. Helmholtz Zentrum München - German Research Center for Environmental Health |
  5. Munich Center of Health Sciences (MC Health), Ludwig-Maximilians-Universität |
1000 Fördernummer
  1. FKZ: 01GI1121B
  2. -
  3. -
  4. -
  5. -
1000 Förderprogramm
  1. Kompetenznetz Adipositas (Competence Network Obesity)
  2. Biomedical Research Program
  3. Biomedical Research Program
  4. KORA research platform (KORA, Cooperative Research in the Region of Augsburg)
  5. LMUinnovativ
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Federal Ministry of Education and Research |
    1000 Förderprogramm Kompetenznetz Adipositas (Competence Network Obesity)
    1000 Fördernummer FKZ: 01GI1121B
  2. 1000 joinedFunding-child
    1000 Förderer Weill Cornell Medical College in Qatar |
    1000 Förderprogramm Biomedical Research Program
    1000 Fördernummer -
  3. 1000 joinedFunding-child
    1000 Förderer Qatar Foundation |
    1000 Förderprogramm Biomedical Research Program
    1000 Fördernummer -
  4. 1000 joinedFunding-child
    1000 Förderer Helmholtz Zentrum München - German Research Center for Environmental Health |
    1000 Förderprogramm KORA research platform (KORA, Cooperative Research in the Region of Augsburg)
    1000 Fördernummer -
  5. 1000 joinedFunding-child
    1000 Förderer Munich Center of Health Sciences (MC Health), Ludwig-Maximilians-Universität |
    1000 Förderprogramm LMUinnovativ
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6403802.rdf
1000 Erstellt am 2017-08-10T15:16:21.452+0200
1000 Erstellt von 22
1000 beschreibt frl:6403802
1000 Bearbeitet von 288
1000 Zuletzt bearbeitet Thu Mar 04 08:29:51 CET 2021
1000 Objekt bearb. Thu Mar 04 08:29:50 CET 2021
1000 Vgl. frl:6403802
1000 Oai Id
  1. oai:frl.publisso.de:frl:6403802 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

View source