4.6 Article

Plasma Metabolite Profiles in Response to Chronic Exercise

Journal

MEDICINE AND SCIENCE IN SPORTS AND EXERCISE
Volume 50, Issue 7, Pages 1480-1486

Publisher

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1249/MSS.0000000000001594

Keywords

EXERCISE; METABOLOMICS; RISK FACTORS; GLOBAL ASSESSMENT

Categories

Funding

  1. Canadian Institutes of Health Research [OHN-63277]
  2. National Institutes of Health Molecular Transducers of Physical Activity Consortium
  3. NATIONAL HEART, LUNG, AND BLOOD INSTITUTE [T32HL007374] Funding Source: NIH RePORTER
  4. NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES [U24DK112340, R01DK081572] Funding Source: NIH RePORTER

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Purpose High-throughput profiling of metabolic status (metabolomics) allows for the assessment of small-molecule metabolites that may participate in exercise-induced biochemical pathways and corresponding cardiometabolic risk modification. We sought to describe the changes in a diverse set of plasma metabolite profiles in patients undergoing chronic exercise training and assess the relationship between metabolites and cardiometabolic response to exercise. Methods A secondary analysis was performed in 216 middle-age abdominally obese men and women (mean SD, 52.4 8.0 yr) randomized into one of four groups varying in exercise amount and intensity for 6-month duration: high amount high intensity, high amount low intensity, low amount low intensity, and control. One hundred forty-seven metabolites were profiled by liquid chromatography-tandem mass spectrometry. Results No significant differences in metabolite changes between specific exercise groups were observed; therefore, subsequent analyses were collapsed across exercise groups. There were no significant differences in metabolite changes between the exercise and control groups after 24 wk at a Bonferroni-adjusted statistical significance (P < 3.0 x 10(-4)). Seven metabolites changed in the exercise group compared with the control group at P < 0.05. Changes in several metabolites from distinct metabolic pathways were associated with change in cardiometabolic risk traits, and three baseline metabolite levels predicted changes in cardiometabolic risk traits. Conclusions Metabolomic profiling revealed no significant plasma metabolite changes between exercise and control after 24 wk at Bonferroni significance. However, we identified circulating biomarkers that were predictive or reflective of improvements in cardiometabolic traits in the exercise group.

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