Cited by 82Physical Activity and HealthMetabolomics and Mass Spectrometry StudiesAdipokines, Inflammation, and Metabolic Diseases

Objectively measured physical activity and plasma metabolomics in the shanghai physical activity study

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Xiao, Qian, Moore, Steven C, Keadle, Sarah K, Xiang, Yong-Bing, Zheng, Wei, Peters, Tricia M, Leitzmann, Michael F, Ji, Bu-Tian +3 more·2016·International Journal of Epidemiology

Abstract

BACKGROUND: Physical activity is associated with a variety of health benefits, but the biological mechanisms that explain these associations remain unclear. Metabolomics is a powerful tool to comprehensively evaluate global metabolic signature associated with physical activity and helps to pinpoint the pathways that mediate the health effects of physical activity. There has been limited research on metabolomics and habitual physical activity, and no metabolomics study has examined sedentary behaviour and physical activity of different intensities. METHODS: In a group of Chinese adults (N = 277), we used an untargeted approach to examine 328 plasma metabolites in relation to accelerometer-measured physical activity, including overall volume of physical activity (physical activity energy expenditure (PAEE) and duration of physically active time) and sedentary time, and measures related to different intensities of physical activity (moderate-to-vigorous activity (MVPA), light activity, average physical activity intensity). RESULTS: We identified 11 metabolites that were associated with total activity, with a false discovery rate of 0.2 or lower. Notably, we observed generally lower levels of amino acids in the valine, leucine and isoleucine metabolism pathway and of carbohydrates in sugar metabolism among participants with higher activity levels. Moreover, we found that PAEE, time spent in light activity and duration of physically active time were associated with a similar metabolic pattern, whereas the metabolic signature associated with sedentary time mirrored this pattern. In contrast, average activity intensity and time spent in MVPA appeared to be associated with somewhat different metabolic patterns. CONCLUSIONS: Overall, the metabolomics patterns support a beneficial role of higher volume of physical activity in cardiometabolic health. Our findings identified candidate pathways and provide insight into the mechanisms underlying the health effects of physical activity.

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  • One metabolomic study reported lower levels of cortisol after physical activity, but other studies reported higher hormone levels after exercise.

    “One metabolomic study investigating metabolic changes after physical activity reported lower levels of cortisol (Xiao et al., 2016) but other studies also reported higher hormone levels after exercise (Di Luigi et al., 2014, Sato et al., 2016).”

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Authors
Xiao, Q., Moore, S. C., Keadle, S. K., Xiang, Y.-B., Zheng, W., Peters, T. M., Leitzmann, M. F., Ji, B.-T., Sampson, J. N., Shu, X.-O., & Matthews, C. E.
Affiliations
  • National Cancer Institute (US)
  • Shanghai Cancer Institute (CN)
  • Vanderbilt University (US)
  • McGill University Health Centre (CA)
  • University of Regensburg (DE)
  • Division of Cancer Epidemiology and Genetics (US)
Corresponding author
Xiao, Qian
Venue
International Journal of Epidemiology
Published
2016-04-12
Volume
45
Issue
5
Pages
1433-1444
ISSN
  • 0300-5771 (ISSN-L)
  • 1464-3685
OpenAlex
W2413540870
Cited by
82
References
51
Citations by year
2026: 5 · 2025: 7 · 2024: 6 · 2023: 7 · 2022: 9 · 2021: 10 · 2020: 9 · 2019: 10 · 2018: 7 · 2017: 9 · 2016: 3
FWCI
7.77
Type
journal article
Language
en
Open access
Licence
public-domain
Locations
  • International Journal of Epidemiology (publishedVersion, public-domain)
  • Europe PMC (PubMed Central) (publishedVersion, public-domain)
  • PubMed Central (publishedVersion, public-domain)
  • PubMed (publishedVersion)
  • University of Regensburg Publication Server (University of Regensburg) (submittedVersion)
Funders
  • U.S. Department of Health and Human Services
  • National Institutes of Health
  • National Cancer Institute (UM1CA173640, UM1CA182910)
Topics
  • Health Sciences › Medicine › Physiology › Physical Activity and Health
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
  • Health Sciences › Medicine › Epidemiology › Adipokines, Inflammation, and Metabolic Diseases
Keywords
physical activity, plasma metabolomics, sedentary behavior, physical activity energy expenditure, moderate-to-vigorous physical activity, light physical activity, physical activity intensity, amino acid metabolism, sugar metabolism, cardiometabolic health
MeSH terms
Adult, Aged, Amino Acids, China, Energy Metabolism, Female, Humans, Lipids, Male, Gas Chromatography-Mass Spectrometry, Middle Aged, Prospective Studies, Risk Factors, Exercise, Body Mass Index, Linear Models, Metabolomics, Sedentary Behavior, Accelerometry

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