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一般健康个体跑步对健康血液生物标志物的剂量反应。

Dose response of running on blood biomarkers of wellness in generally healthy individuals.

机构信息

InsideTracker, Cambridge, Massachusetts, United States of America.

The Scripps Translational Science Institute, The Scripps Research Institute, La Jolla, California, United States of America.

出版信息

PLoS One. 2023 Nov 15;18(11):e0293631. doi: 10.1371/journal.pone.0293631. eCollection 2023.

Abstract

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.

摘要

运动对于延缓或预防慢性病是有效的,大量证据支持其有效性。然而,对于运动对无疾病人群血液生物标志物的具体促进健康作用知之甚少。在这项工作中,我们研究了 23237 名自我报告每周跑步量不同的一般健康个体,并将他们与 4428 名一般健康的久坐不动个体以及 82 名专业耐力跑步者进行了比较。我们使用方差分析(ANOVA)来估计不同跑步水平组之间血液生物标志物的差异,同时考虑了年龄、性别和 BMI。我们试图通过使用两个独立的大型数据集进行两样本孟德尔随机化(2S-MR)来为我们的观察数据集分析提供一些见解。我们发现,自我报告的跑步量与改善健康的生物标志物特征有关,一些血清标志物显然主要受 BMI 影响,而其他标志物则与跑步量呈剂量效应关系。我们进一步检测到氧气运输和激素特征的性别二态性血清反应的迹象,并且我们还观察到专业耐力运动员镁状态明显改变的趋势。因此,我们的结果进一步描述了运动和代谢健康的血液生物标志物,特别是关于剂量效应关系,并为训练和表现提供更个性化的建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a10c/10651037/5526685abc7c/pone.0293631.g001.jpg

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