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基于 DNA 甲基化的生物年龄与健康风险因素及全因和死因特异性死亡率的关联。

Association of DNA Methylation-Based Biological Age With Health Risk Factors and Overall and Cause-Specific Mortality.

机构信息

Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia.

Center for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, Victoria, Australia.

出版信息

Am J Epidemiol. 2018 Mar 1;187(3):529-538. doi: 10.1093/aje/kwx291.

Abstract

Measures of biological age based on blood DNA methylation, referred to as age acceleration (AA), have been developed. We examined whether AA was associated with health risk factors and overall and cause-specific mortality. At baseline (1990-1994), blood samples were drawn from 2,818 participants in the Melbourne Collaborative Cohort Study (Melbourne, Victoria, Australia). DNA methylation was determined using the Infinium HumanMethylation450 BeadChip array (Illumina Inc., San Diego, California). Mixed-effects models were used to examine the association of AA with health risk factors. Cox models were used to assess the association of AA with mortality. A total of 831 deaths were observed during a median 10.7 years of follow-up. Associations of AA were observed with male sex, Greek nationality (country of birth), smoking, obesity, diabetes, lower education, and meat intake. AA measures were associated with increased mortality, and this was only partly accounted for by known determinants of health (hazard ratios were attenuated by 20%-40%). Weak evidence of heterogeneity in the association was observed by sex (P = 0.06) and cause of death (P = 0.07) but not by other factors. DNA-methylation-based AA measures are associated with several major health risk factors, but these do not fully explain the association between AA and mortality. Future research should investigate what genetic and environmental factors determine AA.

摘要

基于血液 DNA 甲基化的生物年龄测量方法,被称为年龄加速(AA),已经被开发出来。我们研究了 AA 是否与健康风险因素以及全因和特定原因死亡率相关。在基线(1990-1994 年),从澳大利亚维多利亚州墨尔本协作队列研究(Melbourne Collaborative Cohort Study)的 2818 名参与者中抽取了血液样本。使用 Infinium HumanMethylation450 BeadChip 芯片(Illumina Inc.,加利福尼亚州圣地亚哥)测定 DNA 甲基化。使用混合效应模型来检验 AA 与健康风险因素的相关性。使用 Cox 模型评估 AA 与死亡率的相关性。在中位数为 10.7 年的随访期间,共观察到 831 例死亡。AA 与男性性别、希腊国籍(出生国)、吸烟、肥胖、糖尿病、低教育程度和肉类摄入量有关。AA 测量值与死亡率升高有关,但这仅部分由健康的已知决定因素来解释(风险比降低了 20%-40%)。按性别(P=0.06)和死因(P=0.07)观察到相关性存在微弱的异质性,但按其他因素则没有。基于 DNA 甲基化的 AA 测量值与几种主要健康风险因素相关,但这些因素并不能完全解释 AA 与死亡率之间的关联。未来的研究应该调查哪些遗传和环境因素决定了 AA。

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