Human serum metabolic profiles are age dependent

Zhonghao Yu, Guangju Zhai, Paula Singmann, Ying He, Tao Xu, Cornelia Prehn, Werner Römisch-Margl, Eva Lattka, Christian Gieger, Nicole Soranzo, Joachim Heinrich, Marie Standl, Elisabeth Thiering, Kirstin Mittelstraß, Heinz Erich Wichmann, Annette Peters, Karsten Suhre, Yixue Li, Jerzy Adamski, Tim D. Spector & 2 others Thomas Illig, Rui Wang-Sattler

Research output: Contribution to journalArticle

110 Citations (Scopus)

Abstract

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 (32-81years), 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.

Original languageEnglish
Pages (from-to)960-967
Number of pages8
JournalAging Cell
Volume11
Issue number6
DOIs
Publication statusPublished - Dec 2012
Externally publishedYes

Fingerprint

Metabolomics
Metabolome
Serum
Histidine
Germany
Fasting
Homeostasis
Fatty Acids
Population
SM 1

Keywords

  • Age
  • Aging
  • Epidemiology
  • Metabolomics
  • Population-based study

ASJC Scopus subject areas

  • Ageing
  • Cell Biology

Cite this

Yu, Z., Zhai, G., Singmann, P., He, Y., Xu, T., Prehn, C., ... Wang-Sattler, R. (2012). Human serum metabolic profiles are age dependent. Aging Cell, 11(6), 960-967. https://doi.org/10.1111/j.1474-9726.2012.00865.x

Human serum metabolic profiles are age dependent. / Yu, Zhonghao; Zhai, Guangju; Singmann, Paula; He, Ying; Xu, Tao; Prehn, Cornelia; Römisch-Margl, Werner; Lattka, Eva; Gieger, Christian; Soranzo, Nicole; Heinrich, Joachim; Standl, Marie; Thiering, Elisabeth; Mittelstraß, Kirstin; Wichmann, Heinz Erich; Peters, Annette; Suhre, Karsten; Li, Yixue; Adamski, Jerzy; Spector, Tim D.; Illig, Thomas; Wang-Sattler, Rui.

In: Aging Cell, Vol. 11, No. 6, 12.2012, p. 960-967.

Research output: Contribution to journalArticle

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, HE, Peters, A, Suhre, K, Li, Y, Adamski, J, Spector, TD, Illig, T & Wang-Sattler, R 2012, 'Human serum metabolic profiles are age dependent', Aging Cell, vol. 11, no. 6, pp. 960-967. https://doi.org/10.1111/j.1474-9726.2012.00865.x
Yu Z, Zhai G, Singmann P, He Y, Xu T, Prehn C et al. Human serum metabolic profiles are age dependent. Aging Cell. 2012 Dec;11(6):960-967. https://doi.org/10.1111/j.1474-9726.2012.00865.x
Yu, Zhonghao ; Zhai, Guangju ; Singmann, Paula ; He, Ying ; Xu, Tao ; Prehn, Cornelia ; Römisch-Margl, Werner ; Lattka, Eva ; Gieger, Christian ; Soranzo, Nicole ; Heinrich, Joachim ; Standl, Marie ; Thiering, Elisabeth ; Mittelstraß, Kirstin ; Wichmann, Heinz Erich ; Peters, Annette ; Suhre, Karsten ; Li, Yixue ; Adamski, Jerzy ; Spector, Tim D. ; Illig, Thomas ; Wang-Sattler, Rui. / Human serum metabolic profiles are age dependent. In: Aging Cell. 2012 ; Vol. 11, No. 6. pp. 960-967.
@article{98140078aa7d42a5b059d791ffaa6784,
title = "Human serum metabolic profiles are age dependent",
abstract = "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 (32-81years), 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.",
keywords = "Age, Aging, Epidemiology, Metabolomics, Population-based study",
author = "Zhonghao Yu and Guangju Zhai and Paula Singmann and Ying He and Tao Xu and Cornelia Prehn and Werner R{\"o}misch-Margl and Eva Lattka and Christian Gieger and Nicole Soranzo and Joachim Heinrich and Marie Standl and Elisabeth Thiering and Kirstin Mittelstra{\ss} and Wichmann, {Heinz Erich} and Annette Peters and Karsten Suhre and Yixue Li and Jerzy Adamski and Spector, {Tim D.} and Thomas Illig and Rui Wang-Sattler",
year = "2012",
month = "12",
doi = "10.1111/j.1474-9726.2012.00865.x",
language = "English",
volume = "11",
pages = "960--967",
journal = "Aging Cell",
issn = "1474-9718",
publisher = "Wiley-Blackwell",
number = "6",

}

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 - Römisch-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 (32-81years), 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.

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 (32-81years), 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.

KW - Age

KW - Aging

KW - Epidemiology

KW - Metabolomics

KW - Population-based study

UR - http://www.scopus.com/inward/record.url?scp=84869173701&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84869173701&partnerID=8YFLogxK

U2 - 10.1111/j.1474-9726.2012.00865.x

DO - 10.1111/j.1474-9726.2012.00865.x

M3 - Article

VL - 11

SP - 960

EP - 967

JO - Aging Cell

JF - Aging Cell

SN - 1474-9718

IS - 6

ER -