关键词: Aging Biomarkers Lifestyle Longitudinal Metabolomics

来  源:   DOI:10.1016/j.mad.2024.111958

Abstract:
Biological age uses biophysiological information to capture a person\'s age-related risk of adverse outcomes. MetaboAge and MetaboHealth are metabolomics-based biomarkers of biological age trained on chronological age and mortality risk, respectively. Lifestyle factors contribute to the extent chronological and biological age differ. The association of lifestyle factors with MetaboAge and MetaboHealth, potential sex differences in these associations, and MetaboAge\'s and MetaboHealth\'s sensitivity to lifestyle changes have not been studied yet. Linear regression analyses and mixed-effect models were used to examine the cross-sectional and longitudinal associations of scaled lifestyle factors with scaled MetaboAge and MetaboHealth in 24,332 middle-aged participants from the Doetinchem Cohort Study, Rotterdam Study, and UK Biobank. Random-effect meta-analyses were performed across cohorts. Repeated metabolomics measurements had a ten-year interval in the Doetinchem Cohort Study and a five-year interval in the UK Biobank. In the first study incorporating longitudinal information on MetaboAge and MetaboHealth, we demonstrate associations between current smoking, sleeping ≥8 hours/day, higher BMI, and larger waist circumference were associated with higher MetaboHealth, the latter two also with higher MetaboAge. Furthermore, adhering to the dietary and physical activity guidelines were inversely associated with MetaboHealth. Lastly, we observed sex differences in the associations between alcohol use and MetaboHealth.
摘要:
生物年龄使用生物卫生学信息来捕捉一个人与年龄相关的不良后果风险。MetaboAge和MetaboHealth是基于代谢组学的生物年龄生物标志物,在实际年龄和死亡风险方面进行了培训,分别。生活方式因素在时间和生物年龄差异的程度上有所贡献。生活方式因素与MetaboAge和MetaboHealth,这些关联中潜在的性别差异,以及MetaboAge和MetaboHealth对生活方式改变的敏感性尚未被研究。在Doetinchem队列研究的24,332名中年参与者中,使用线性回归分析和混合效应模型来检查缩放生活方式因素与缩放MetaboAge和MetaboHealth的横截面和纵向关联,鹿特丹研究,和英国生物银行。在队列中进行随机效应荟萃分析。重复的代谢组学测量在Doetinchem队列研究中有十年的间隔,在英国生物银行中有五年的间隔。在第一项纳入MetaboAge和MetaboHealth纵向信息的研究中,我们展示了当前吸烟之间的关联,睡眠≥8小时/天,BMI较高,较大的腰围与较高的MetaboHealth相关,后两者也具有较高的MetaboAge。此外,坚持饮食和体力活动指南与MetaboHealth呈负相关.最后,我们观察到饮酒与MetaboHealth之间的相关性存在性别差异.
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