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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)
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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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Publication type Article: Journal article
Document type Scientific Article
Keywords age; aging; epidemiology; metabolomics; population-based study; OXIDATIVE STRESS; DISEASE; LONGEVITY; CARNOSINE; PROTEINS; SURVIVAL; KORA
Language english
Publication Year 2012
HGF-reported in Year 2012
ISSN (print) / ISBN 1474-9718
e-ISSN 1474-9726
Journal Aging Cell
Quellenangaben Volume: 11, Issue: 6, Pages: 960-967 Article Number: , Supplement: ,
Publisher Wiley
Reviewing status Peer reviewed
Institute(s) 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 (EPI)
Institute of Experimental Genetics (IEG)
POF-Topic(s) 30501 - Systemic Analysis of Genetic and Environmental Factors that Impact Health
30201 - Metabolic Health
30505 - New Technologies for Biomedical Discoveries
30202 - Environmental Health

90000 - German Center for Diabetes Research
Research field(s) Genetics and Epidemiology
Enabling and Novel Technologies
PSP Element(s) G-504200-003
G-505600-001
G-503700-001
G-504100-001
G-504000-001
G-503900-002
G-501900-061
G-504090-001
PubMed ID 22834969
DOI 10.1111/j.1474-9726.2012.00865.x
WOS ID WOS:000311113500005
Scopus ID 84869173701
Erfassungsdatum 2012-10-08
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