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Human serum metabolic profiles are age dependent

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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3533791/
https://www.ncbi.nlm.nih.gov/pubmed/22834969
http://dx.doi.org/10.1111/j.1474-9726.2012.00865.x
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author 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
author_facet 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
author_sort Yu, Zhonghao
collection PubMed
description 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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spelling pubmed-35337912013-01-08 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 Aging Cell Original Articles 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. Blackwell Publishing Ltd 2012-12 /pmc/articles/PMC3533791/ /pubmed/22834969 http://dx.doi.org/10.1111/j.1474-9726.2012.00865.x Text en © 2012 The Authors. Aging Cell © 2012 Blackwell Publishing Ltd/Anatomical Society of Great Britain and Ireland http://creativecommons.org/licenses/by/2.5/ Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.
spellingShingle Original Articles
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
title Human serum metabolic profiles are age dependent
title_full Human serum metabolic profiles are age dependent
title_fullStr Human serum metabolic profiles are age dependent
title_full_unstemmed Human serum metabolic profiles are age dependent
title_short Human serum metabolic profiles are age dependent
title_sort human serum metabolic profiles are age dependent
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3533791/
https://www.ncbi.nlm.nih.gov/pubmed/22834969
http://dx.doi.org/10.1111/j.1474-9726.2012.00865.x
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