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dc.contributor.authorYu, Zhonghao
dc.contributor.authorZhai, Guangju
dc.contributor.authorSingmann, Paula
dc.contributor.authorHe, Ying
dc.contributor.authorXu, Tao
dc.contributor.authorPrehn, Cornelia
dc.contributor.authorRömisch-Margl, Werner
dc.contributor.authorLattka, Eva
dc.contributor.authorGieger, Christian
dc.contributor.authorSoranzo, Nicole
dc.contributor.authorHeinrich, Joachim
dc.contributor.authorStandl, Marie
dc.contributor.authorThiering, Elisabeth
dc.contributor.authorMittelstraß, Kirstin
dc.contributor.authorWichmann, Heinz-Erich
dc.contributor.authorPeters, Annette
dc.contributor.authorSuhre, Karsten
dc.contributor.authorLi, Yixue
dc.contributor.authorAdamski, Jerzy
dc.contributor.authorSpector, Tim D
dc.contributor.authorIllig, Thomas
dc.contributor.authorWang-Sattler, Rui
dc.date.accessioned2013-08-30T17:27:03Z
dc.date.issued2012
dc.identifier.citationYu, Zhonghao, Guangju Zhai, Paula Singmann, Ying He, Tao Xu, Cornelia Prehn, Werner Römisch-Margl, et al. 2012. Human serum metabolic profiles are age dependent. Aging Cell 11(6): 960-967.en_US
dc.identifier.issn1474-9718en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:10989381
dc.description.abstractUnderstanding the complexity of aging is of utmost importance. This can now be addressed by the novel and powerful approach of metabolomics. However, to date, only a few metabolic studies based on large samples are available. Here, we provide novel and specific information on age-related metabolite concentration changes in human homeostasis. We report results from two population-based studies: the KORA F4 study from Germany as a discovery cohort, with 1038 female and 1124 male participants (32–81 years), and the TwinsUK study as replication, with 724 female participants. Targeted metabolomics of fasting serum samples quantified 131 metabolites by FIA-MS/MS. Among these, 71/34 metabolites were significantly associated with age in women/men (BMI adjusted). We further identified a set of 13 independent metabolites in women (with P values ranging from 4.6 × 10−04 to 7.8 × 10−42, αcorr = 0.004). Eleven of these 13 metabolites were replicated in the TwinsUK study, including seven metabolite concentrations that increased with age (C0, C10:1, C12:1, C18:1, SM C16:1, SM C18:1, and PC aa C28:1), while histidine decreased. These results indicate that metabolic profiles are age dependent and might reflect different aging processes, such as incomplete mitochondrial fatty acid oxidation. The use of metabolomics will increase our understanding of aging networks and may lead to discoveries that help enhance healthy aging.en_US
dc.language.isoen_USen_US
dc.publisherBlackwell Publishing Ltden_US
dc.relation.isversionofdoi:10.1111/j.1474-9726.2012.00865.xen_US
dc.relation.hasversionhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC3533791/pdf/en_US
dash.licenseLAA
dc.subjectageen_US
dc.subjectagingen_US
dc.subjectepidemiologyen_US
dc.subjectmetabolomicsen_US
dc.subjectpopulation-based studyen_US
dc.titleHuman serum metabolic profiles are age dependenten_US
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden_US
dc.relation.journalAging Cellen_US
dash.depositing.authorPeters, Annette
dc.date.available2013-08-30T17:27:03Z
dc.identifier.doi10.1111/j.1474-9726.2012.00865.x*
dash.authorsorderedfalse
dash.contributor.affiliatedPeters, Annette


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