Xu Jun, Liu Guning, Hegde Sheila M, Palta Priya, Boerwinkle Eric, Gabriel Kelley P, Yu Bing
Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA.
Metabolites. 2021 Jan 19;11(1):59. doi: 10.3390/metabo11010059.
Habitual physical activity can diminish the risk of premature death. Identifying a pattern of metabolites related to physical activity may advance our understanding of disease etiology. We quantified 245 serum metabolites in 3802 participants from the Atherosclerosis Risk in Communities (ARIC) study using chromatography-mass spectrometry. We regressed self-reported moderate-to-vigorous intensity leisure-time physical activity (LTPA) against each metabolite, adjusting for traditional risk factors. A standardized metabolite risk score (MRS) was constructed to examine its association with all-cause mortality using the Cox proportional hazard model. We identified 10 metabolites associated with LTPA ( < 2.04 × 10) and established that an increase of one unit of the metabolic equivalent of task-hours per week (MET·hr·wk) in LTPA was associated with a 0.012 SD increase in MRS. During a median of 27.5 years of follow-up, we observed 1928 deaths. One SD increase of MRS was associated with a 10% lower risk of death (HR = 0.90, 95% CI: 0.85-0.95). The highest vs. the lowest MRS quintile rank was associated with a 22% reduced risk of death (HR = 0.78, 95% CI: 0.62-0.94). The effects were consistent across race and sex groups. In summary, we identified a set of metabolites associated with LTPA and an MRS associated with a lower risk of death. Our study provides novel insights into the potential mechanisms underlying the health impacts of physical activity.
习惯性体育活动可降低过早死亡风险。识别与体育活动相关的代谢物模式可能会增进我们对疾病病因的理解。我们使用色谱 - 质谱法对社区动脉粥样硬化风险（ARIC）研究中3802名参与者的245种血清代谢物进行了定量分析。我们将自我报告的中度至剧烈强度休闲时间体育活动（LTPA）与每种代谢物进行回归分析，并对传统风险因素进行了调整。构建了标准化代谢物风险评分（MRS），使用Cox比例风险模型来检验其与全因死亡率的关联。我们识别出10种与LTPA相关的代谢物（<2.04×10），并确定LTPA中每周代谢当量任务小时数（MET·hr·wk）每增加一个单位，MRS会增加0.012个标准差。在中位随访27.5年期间，我们观察到1928例死亡。MRS增加一个标准差与死亡风险降低10%相关（风险比=0.90，95%置信区间：0.85 - 0.95）。MRS五分位数排名最高与最低组相比，死亡风险降低22%（风险比=0.78，95%置信区间：0.62 - 0.94）。这些效应在种族和性别组中是一致的。总之，我们识别出一组与LTPA相关的代谢物以及一个与较低死亡风险相关的MRS。我们的研究为体育活动对健康影响的潜在机制提供了新的见解。
