Zhonghao Yu, Guangju Zhai and Paula Singmann contributed equally.
Human serum metabolic profiles are age dependent
Article first published online: 27 AUG 2012
© 2012 The Authors. Aging Cell © 2012 Blackwell Publishing Ltd/Anatomical Society of Great Britain and Ireland
Volume 11, Issue 6, pages 960–967, December 2012
How to Cite
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. and Wang-Sattler, R. (2012), Human serum metabolic profiles are age dependent. Aging Cell, 11: 960–967. doi: 10.1111/j.1474-9726.2012.00865.x
Carried out at the Research Unit of Molecular Epidemiology, Helmholtz ZentrumMünchen, 85764 Neuherberg, Germany, and the Department of Twin Research and Genetic Epidemiology, King’s College London, London, UK.
Co-corresponding authors. Tim D. Spector, Department of Twin Research and Genetic Epidemiology, King’s College London, London, UK and Thomas Illig, Hannover Unified Biobank, Hannover Medical School, 30625 Hannover, Germany. Tel.: +49 89 3187 3978; fax: +49 89 3187 2428; e-mails: firstname.lastname@example.org; email@example.com
Re-use of this article is permitted in accordance with the Terms and Conditions set out at http://wileyonlinelibrary.com/onlineopen#OnlineOpen_Terms
- Issue published online: 15 NOV 2012
- Article first published online: 27 AUG 2012
- Accepted manuscript online: 26 JUL 2012 12:19PM EST
- Accepted for publication 16 July 2012
- population-based study
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, 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.