TY - JOUR
T1 - Human serum metabolic profiles are age dependent
AU - Yu, Zhonghao
AU - Zhai, Guangju
AU - Singmann, Paula
AU - He, Ying
AU - Xu, Tao
AU - Prehn, Cornelia
AU - Roemisch-Margl, Werner
AU - Lattka, Eva
AU - Gieger, Christian
AU - Soranzo, Nicole
AU - Heinrich, Joachim
AU - Standl, Marie
AU - Thiering, Elisabeth
AU - Mittelstrass, Kirstin
AU - Wichmann, Heinz-Erich
AU - Peters, Annette
AU - Suhre, Karsten
AU - Li, Yixue
AU - Adamski, Jerzy
AU - Spector, Tim D.
AU - Illig, Thomas
AU - Wang-Sattler, Rui
PY - 2012/12
Y1 - 2012/12
N2 - 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 (3281 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 x 10-04 to 7.8 x 10-42, acorr = 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.
AB - 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 (3281 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 x 10-04 to 7.8 x 10-42, acorr = 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.
KW - age
KW - aging
KW - epidemiology
KW - metabolomics
KW - population-based study
KW - OXIDATIVE STRESS
KW - DISEASE
KW - LONGEVITY
KW - CARNOSINE
KW - PROTEINS
KW - SURVIVAL
KW - KORA
U2 - 10.1111/j.1474-9726.2012.00865.x
DO - 10.1111/j.1474-9726.2012.00865.x
M3 - Article
SN - 1474-9718
VL - 11
SP - 960
EP - 967
JO - AGING CELL
JF - AGING CELL
IS - 6
M1 - N/A
ER -