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Metabolic Profiling of Total Physical Activity and Sedentary Behavior in Community-Dwelling Men
OBJECTIVE: Physical activity is known to be preventive against various non-communicable diseases. We investigated the relationship between daily physical activity level and plasma metabolites using a targeted metabolomics approach in a population-based study. METHODS: A total of 1,193 participants (...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5065216/ https://www.ncbi.nlm.nih.gov/pubmed/27741291 http://dx.doi.org/10.1371/journal.pone.0164877 |
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author | Fukai, Kota Harada, Sei Iida, Miho Kurihara, Ayako Takeuchi, Ayano Kuwabara, Kazuyo Sugiyama, Daisuke Okamura, Tomonori Akiyama, Miki Nishiwaki, Yuji Oguma, Yuko Suzuki, Asako Suzuki, Chizuru Hirayama, Akiyoshi Sugimoto, Masahiro Soga, Tomoyoshi Tomita, Masaru Takebayashi, Toru |
author_facet | Fukai, Kota Harada, Sei Iida, Miho Kurihara, Ayako Takeuchi, Ayano Kuwabara, Kazuyo Sugiyama, Daisuke Okamura, Tomonori Akiyama, Miki Nishiwaki, Yuji Oguma, Yuko Suzuki, Asako Suzuki, Chizuru Hirayama, Akiyoshi Sugimoto, Masahiro Soga, Tomoyoshi Tomita, Masaru Takebayashi, Toru |
author_sort | Fukai, Kota |
collection | PubMed |
description | OBJECTIVE: Physical activity is known to be preventive against various non-communicable diseases. We investigated the relationship between daily physical activity level and plasma metabolites using a targeted metabolomics approach in a population-based study. METHODS: A total of 1,193 participants (male, aged 35 to 74 years) with fasting blood samples were selected from the baseline survey of a cohort study. Information on daily total physical activity, classified into four levels by quartile of metabolic equivalent scores, and sedentary behavior, defined as hours of sitting per day, was collected through a self-administered questionnaire. Plasma metabolite concentrations were quantified by capillary electrophoresis mass spectrometry method. We performed linear regression analysis models with multivariable adjustment and corrected p-values for multiple testing in the original population (n = 808). The robustness of the results was confirmed by replication analysis in a separate population (n = 385) created by random allocation. RESULTS: Higher levels of total physical activity were associated with various metabolite concentrations, including lower concentrations of amino acids and their derivatives, and higher concentrations of pipecolate (FDR p <0.05 in original population). The findings persisted after adjustment for age, body mass index, smoking, alcohol intake, and energy intake. Isoleucine, leucine, valine, 4-methyl-2-oxoisopentanoate, 2-oxoisopentanoate, alanine, and proline concentrations were lower with a shorter sitting time. CONCLUSIONS: Physical activity is related to various plasma metabolites, including known biomarkers for future insulin resistance or type 2 diabetes. These metabolites might potentially play a key role in the protective effects of higher physical activity and/or less sedentary behavior on non-communicable diseases. |
format | Online Article Text |
id | pubmed-5065216 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-50652162016-10-27 Metabolic Profiling of Total Physical Activity and Sedentary Behavior in Community-Dwelling Men Fukai, Kota Harada, Sei Iida, Miho Kurihara, Ayako Takeuchi, Ayano Kuwabara, Kazuyo Sugiyama, Daisuke Okamura, Tomonori Akiyama, Miki Nishiwaki, Yuji Oguma, Yuko Suzuki, Asako Suzuki, Chizuru Hirayama, Akiyoshi Sugimoto, Masahiro Soga, Tomoyoshi Tomita, Masaru Takebayashi, Toru PLoS One Research Article OBJECTIVE: Physical activity is known to be preventive against various non-communicable diseases. We investigated the relationship between daily physical activity level and plasma metabolites using a targeted metabolomics approach in a population-based study. METHODS: A total of 1,193 participants (male, aged 35 to 74 years) with fasting blood samples were selected from the baseline survey of a cohort study. Information on daily total physical activity, classified into four levels by quartile of metabolic equivalent scores, and sedentary behavior, defined as hours of sitting per day, was collected through a self-administered questionnaire. Plasma metabolite concentrations were quantified by capillary electrophoresis mass spectrometry method. We performed linear regression analysis models with multivariable adjustment and corrected p-values for multiple testing in the original population (n = 808). The robustness of the results was confirmed by replication analysis in a separate population (n = 385) created by random allocation. RESULTS: Higher levels of total physical activity were associated with various metabolite concentrations, including lower concentrations of amino acids and their derivatives, and higher concentrations of pipecolate (FDR p <0.05 in original population). The findings persisted after adjustment for age, body mass index, smoking, alcohol intake, and energy intake. Isoleucine, leucine, valine, 4-methyl-2-oxoisopentanoate, 2-oxoisopentanoate, alanine, and proline concentrations were lower with a shorter sitting time. CONCLUSIONS: Physical activity is related to various plasma metabolites, including known biomarkers for future insulin resistance or type 2 diabetes. These metabolites might potentially play a key role in the protective effects of higher physical activity and/or less sedentary behavior on non-communicable diseases. Public Library of Science 2016-10-14 /pmc/articles/PMC5065216/ /pubmed/27741291 http://dx.doi.org/10.1371/journal.pone.0164877 Text en © 2016 Fukai et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Fukai, Kota Harada, Sei Iida, Miho Kurihara, Ayako Takeuchi, Ayano Kuwabara, Kazuyo Sugiyama, Daisuke Okamura, Tomonori Akiyama, Miki Nishiwaki, Yuji Oguma, Yuko Suzuki, Asako Suzuki, Chizuru Hirayama, Akiyoshi Sugimoto, Masahiro Soga, Tomoyoshi Tomita, Masaru Takebayashi, Toru Metabolic Profiling of Total Physical Activity and Sedentary Behavior in Community-Dwelling Men |
title | Metabolic Profiling of Total Physical Activity and Sedentary Behavior in Community-Dwelling Men |
title_full | Metabolic Profiling of Total Physical Activity and Sedentary Behavior in Community-Dwelling Men |
title_fullStr | Metabolic Profiling of Total Physical Activity and Sedentary Behavior in Community-Dwelling Men |
title_full_unstemmed | Metabolic Profiling of Total Physical Activity and Sedentary Behavior in Community-Dwelling Men |
title_short | Metabolic Profiling of Total Physical Activity and Sedentary Behavior in Community-Dwelling Men |
title_sort | metabolic profiling of total physical activity and sedentary behavior in community-dwelling men |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5065216/ https://www.ncbi.nlm.nih.gov/pubmed/27741291 http://dx.doi.org/10.1371/journal.pone.0164877 |
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