Leisure-time physical activity, sedentary behavior, and biological aging: evidence from genetic correlation and Mendelian randomization analyses

Xunying Zhao, Xueyao Wu, Lin He, Jinyu Xiao, Rong Xiang, Linna Sha, Mingshuang Tang, Yu Hao, Yang Qu, Changfeng Xiao, Chenjiarui Qin, Jiaojiao Hou, Qin Deng, Jiangbo Zhu, Sirui Zheng, Jinyu Zhou, Ting Yu, Bin Yang, Xin Song, Tao Han, Jiaqiang Liao, Tao Zhang, Mengyu Fan, Jiayuan Li, Xia Jiang
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Abstract

Physical inactivity and sedentary behavior are associated with higher risks of age-related morbidity and mortality. However, whether they causally contribute to accelerating biological aging has not been fully elucidated. Utilizing the largest available genome-wide association study (GWAS) summary data, we implemented a comprehensive analytical framework to investigate the causal relationships between moderate-to-vigorous leisure-time physical activity (MVPA), leisure screen time (LST), and four epigenetic age acceleration (EAA) measures: HannumAgeAccel, intrinsic HorvathAgeAccel, PhenoAgeAccel, and GrimAgeAccel. Shared genetic backgrounds across these traits were quantified through genetic correlation analysis. Overall and independent causal effects were assessed through univariable and multivariable Mendelian randomization (MR). A recently developed tissue-partitioned MR approach was further adopted to explore potential tissue-specific pathway that contributes to the observed causal relationships. Among the four EAA measures investigated, consistent results were identified for PhenoAgeAccel and GrimAgeAccel. These two measures were negatively genetically correlated with MVPA (rg=−0.18~−0.29) and positively genetically correlated with LST (rg=0.22~0.37). Univariable MR yielded a robust effect of genetically predicted LST on GrimAgeAccel (βIVW=0.69, P=1.10×10−7), while MVPA (βIVW=−1.02, P=1.50×10−2) and LST (βIVW=0.37, P=1.90×10−2) showed marginal causal effects on PhenoAgeAccel. Multivariable MR suggested an independent causal role of LST in GrimAgeAccel after accounting for effects of MVPA and other important confounders. Tissue-partitioned MR suggested skeletal muscle tissue associated variants be predominantly responsible for driving the effect of LST on GrimAgeAccel. Findings support sedentary lifestyles as a modifiable causal risk factor in accelerating epigenetic aging, emphasizing the need for preventive strategies to reduce sedentary screen time for healthy aging.
闲暇时间体育活动、久坐行为和生物衰老:遗传相关性和孟德尔随机分析的证据
缺乏运动和久坐不动与较高的老年相关发病率和死亡率风险有关。然而,它们是否是加速生物衰老的因果关系尚未完全阐明。利用现有最大的全基因组关联研究(GWAS)汇总数据,我们采用了一个综合分析框架来研究中度到剧烈的闲暇时间体育活动(MVPA)、闲暇屏幕时间(LST)和四种表观遗传年龄加速(EAA)测量之间的因果关系:HannumAgeAccel、内在 HorvathAgeAccel、PhenoAgeAccel 和 GrimAgeAccel。通过遗传相关性分析,量化了这些性状的共同遗传背景。通过单变量和多变量孟德尔随机化(MR)评估了总体和独立的因果效应。此外,还进一步采用了最近开发的组织分区 MR 方法,以探索导致观察到的因果关系的潜在组织特异性途径。在调查的四种 EAA 测量中,PhenoAgeAccel 和 GrimAgeAccel 的结果一致。这两个指标与 MVPA 呈遗传负相关(rg=-0.18~-0.29),与 LST 呈遗传正相关(rg=0.22~0.37)。单变量 MR 显示,遗传预测的 LST 对 GrimAgeAccel 有稳健的影响(βIVW=0.69,P=1.10×10-7),而 MVPA(βIVW=-1.02,P=1.50×10-2)和 LST(βIVW=0.37,P=1.90×10-2)对 PhenoAgeAccel 有微弱的因果影响。多变量磁共振成像表明,在考虑了 MVPA 和其他重要混杂因素的影响后,LST 对 GrimAgeAccel 起着独立的因果作用。组织分区 MR 表明,骨骼肌组织相关变异是 LST 对 GrimAgeAccel 产生影响的主要原因。研究结果表明,久坐不动的生活方式是加速表观遗传衰老的一个可改变的因果风险因素,这强调了为实现健康老龄化而减少久坐屏幕时间的预防策略的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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