生物标志物网络及其在规律运动与心血管和代谢疾病发病风险关联中的中介作用。

Network of biomarkers and their mediation effects on the associations between regular exercise and the incidence of cardiovascular & metabolic diseases.

机构信息

Department of Biomedical Sciences, Seoul National University Graduate School, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.

Institute of Health Policy and Management, Seoul National University Medical Research Center, Seoul, Korea.

出版信息

Sci Rep. 2021 Jun 17;11(1):12802. doi: 10.1038/s41598-021-92312-x.

Abstract

This study aimed to understand the biological process related to the prevention of cardiovascular & metabolic diseases (CMD), including diabetes, hypertension, and dyslipidemia via regular exercise. This study included 17,053 subjects aged 40-69 years in the Health Examinees Study from 2004 to 2012. Participation in regular exercise was investigated by questionnaires. Data on 42 biomarkers were collected from anthropometric measures and laboratory tests. We examined the associations between regular exercise and biomarkers using general linear models, between biomarkers and the risk of CMD using cox proportional hazard models, and the mediation effect of biomarkers using mediation analyses. Biomarker networks were constructed based on the significant differential correlations (p < 0.05) between the exercise and non-exercise groups in men and women, respectively. We observed significant mediators in 14 and 16 of the biomarkers in men and women, respectively. Triglyceride level was a noteworthy mediator in decreasing the risk of CMD with exercise, explaining 23.79% in men and 58.20% in women. The biomarker network showed comprehensive relationships and associations among exercise, biomarkers, and CMD. Body composition-related biomarkers were likely to play major roles in men, while obesity-related biomarkers seemed to be key factors in women.

摘要

本研究旨在通过定期运动了解预防心血管代谢疾病(CMD)的生物学过程,包括糖尿病、高血压和血脂异常。该研究纳入了 2004 年至 2012 年健康体检研究中的 17053 名 40-69 岁的受试者。定期运动的参与情况通过问卷调查进行评估。从人体测量和实验室检测中收集了 42 种生物标志物的数据。我们使用一般线性模型检验了定期运动与生物标志物之间的关系,使用 cox 比例风险模型检验了生物标志物与 CMD 风险之间的关系,使用中介分析检验了生物标志物的中介效应。根据男性和女性中运动组和非运动组之间差异相关(p < 0.05)的显著差异,分别构建了生物标志物网络。我们分别在男性和女性中观察到了 14 个和 16 个具有显著中介效应的生物标志物。甘油三酯水平是运动降低 CMD 风险的一个显著中介,在男性中解释了 23.79%,在女性中解释了 58.20%。生物标志物网络显示了运动、生物标志物和 CMD 之间的综合关系和关联。与身体成分相关的生物标志物在男性中可能发挥主要作用,而与肥胖相关的生物标志物在女性中似乎是关键因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8481/8211674/8bec87f0e6b1/41598_2021_92312_Fig1_HTML.jpg

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