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Yu, Z. ; Zhai, G.* ; Singmann, P. ; He, Y.* ; Xu, T. ; Prehn, C. ; Römisch-Margl, W. ; Lattka, E. ; Gieger, C. ; Soranzo, N.* ; Heinrich, J. ; Standl, M. ; Thiering, E. ; Mittelstraß, K. ; Wichmann, H.-E. ; Peters, A. ; Suhre, K. ; Li, Y.* ; Adamski, J. ; Spector, T.D.* ; Illig, T. ; Wang-Sattler, R.

Human serum metabolic profiles are age dependent.

Aging Cell 11, 960-967 (2012)
DOI PMC
Open Access Gold möglich sobald Verlagsversion bei der ZB eingereicht worden ist.
Understanding 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) , α(corr)  = 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.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Korrespondenzautor
Schlagwörter age; aging; epidemiology; metabolomics; population-based study; OXIDATIVE STRESS; DISEASE; LONGEVITY; CARNOSINE; PROTEINS; SURVIVAL; KORA
ISSN (print) / ISBN 1474-9718
e-ISSN 1474-9726
Zeitschrift Aging Cell
Quellenangaben Band: 11, Heft: 6, Seiten: 960-967 Artikelnummer: , Supplement: ,
Verlag Wiley
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) Research Unit Molecular Epidemiology (AME)
Molekulare Endokrinologie und Metabolismus (MEM)
Institute of Bioinformatics and Systems Biology (IBIS)
Institute of Genetic Epidemiology (IGE)
Institute of Epidemiology II (EPI2)
Institute of Epidemiology (EPI)
Institute of Experimental Genetics (IEG)