School of Kinesiology and Health Studies, Queen's University, Kingston, Ontario, CANADA.
Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
Med Sci Sports Exerc. 2018 Jul;50(7):1480-1486. doi: 10.1249/MSS.0000000000001594.
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.
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.
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 × 10). 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.
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.
高通量代谢状态分析(代谢组学)可评估可能参与运动诱导的生化途径和相应的心血管代谢风险改善的小分子代谢物。我们旨在描述接受慢性运动训练的患者中一系列不同的血浆代谢物谱的变化,并评估代谢物与运动对心血管代谢的反应之间的关系。
对 216 名中年腹型肥胖男性和女性(平均 ± SD,52.4 ± 8.0 岁)进行了二次分析,这些患者随机分为四组,运动时间和强度不同,持续 6 个月:高量高强度、高量低强度、低量低强度和对照组。采用液相色谱-串联质谱法对 147 种代谢物进行了分析。
在特定运动组之间未观察到代谢物变化的显着差异;因此,随后的分析是在整个运动组之间进行的。在经过 24 周的 Bonferroni 调整统计学显着性(P < 3.0 × 10)后,运动组和对照组之间的代谢物变化没有显着差异。与对照组相比,运动组中有 7 种代谢物在 P < 0.05 时发生变化。来自不同代谢途径的几种代谢物的变化与心血管代谢风险特征的变化相关,并且三个基线代谢物水平预测了心血管代谢风险特征的变化。
代谢组学分析显示,在经过 24 周的 Bonferroni 显着性后,运动组和对照组之间的血浆代谢物没有显着变化。然而,我们确定了循环生物标志物,这些标志物可预测或反映运动组中心血管代谢特征的改善。