医学
运动员
生物标志物
孟德尔随机化
方差分析
疾病
观察研究
人口
生理学
内科学
最大VO2
生物信息学
物理疗法
血压
生物
心率
遗传变异
基因型
基因
环境卫生
生物化学
作者
Bartek Nogal,S.V. Vinogradova,Milena Jorge,Ali Torkamani,Paúl Fabián,Gil Blander
出处
期刊:PLOS ONE
[Public Library of Science]
日期:2023-11-15
卷期号:18 (11): e0293631-e0293631
标识
DOI:10.1371/journal.pone.0293631
摘要
Exercise is effective toward delaying or preventing chronic disease, with a large body of evidence supporting its effectiveness. However, less is known about the specific healthspan-promoting effects of exercise on blood biomarkers in the disease-free population. In this work, we examine 23,237 generally healthy individuals who self-report varying weekly running volumes and compare them to 4,428 generally healthy sedentary individuals, as well as 82 professional endurance runners. We estimate the significance of differences among blood biomarkers for groups of increasing running levels using analysis of variance (ANOVA), adjusting for age, gender, and BMI. We attempt and add insight to our observational dataset analysis via two-sample Mendelian randomization (2S-MR) using large independent datasets. We find that self-reported running volume associates with biomarker signatures of improved wellness, with some serum markers apparently being principally modified by BMI, whereas others show a dose-effect with respect to running volume. We further detect hints of sexually dimorphic serum responses in oxygen transport and hormonal traits, and we also observe a tendency toward pronounced modifications in magnesium status in professional endurance athletes. Thus, our results further characterize blood biomarkers of exercise and metabolic health, particularly regarding dose-effect relationships, and better inform personalized advice for training and performance.
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