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健康的饮食习惯和生物年龄的表观遗传测量。

Healthy eating patterns and epigenetic measures of biological age.

机构信息

Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA.

Department of Epidemiology, Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, Little Rock, AR, USA.

出版信息

Am J Clin Nutr. 2022 Jan 11;115(1):171-179. doi: 10.1093/ajcn/nqab307.

Abstract

BACKGROUND

Healthy eating is associated with lower risks of disease and mortality, but the mechanisms underlying these associations are unclear. Age is strongly related to health outcomes, and biological age can be estimated using the blood methylome.

OBJECTIVES

To determine whether healthy eating patterns are associated with methylation-based measures of biological age.

METHODS

Among women in the Sister Study, we calculated scores on 4 recommendation-based healthy eating indexes [Dietary Approaches to Stop Hypertension diet, Healthy Eating Index-2015, Alternative Healthy Eating Index (aHEI-2010), and the Alternative Mediterranean diet] using a validated 110-item Block FFQ completed at enrollment. Genome-wide DNA methylation data were generated using the HumanMethylation450 BeadChip on whole blood samples collected at enrollment from a case-cohort sample of 2694 women and were used to calculate 4 measures of epigenetic age acceleration (Hannum AgeAccel, Horvath AgeAccel, PhenoAgeAccel, and GrimAgeAccel). Linear regression models, adjusted for covariates and cohort sampling weights, were used to examine cross-sectional associations between eating patterns and measures of biological age.

RESULTS

All 4 healthy eating indexes had inverse associations with epigenetic age acceleration, most notably with PhenoAgeAccel and GrimAgeAccel. Of these, the strongest associations were for aHEI-2010 [per 1-SD increase in diet quality, PhenoAgeAccel β = -0.5 y (95% CI: -0.8 to -0.2 y) and GrimAgeAccel β = -0.4 y (95% CI: -0.6 to -0.3 y)]. Although effect modification was not observed for most lifestyle factors, in analyses stratified by physical activity, the benefits of a healthy diet on epigenetic age acceleration were more pronounced among women who did not meet physical activity guidelines (reporting <2.5 h/wk of exercise).

CONCLUSIONS

Higher diet quality is inversely associated with methylation-based measures of biological age. Improving diet could have the most benefits in lowering biological age among women with lower levels of physical activity. This trial was registered at clinicaltrials.gov as NCT00047970.

摘要

背景

健康的饮食习惯与降低疾病和死亡率的风险有关,但这些关联的机制尚不清楚。年龄与健康结果密切相关,并且可以使用血液甲基化组来估计生物年龄。

目的

确定健康的饮食习惯是否与基于甲基化的生物年龄测量值有关。

方法

在姐妹研究中,我们使用经过验证的 110 项 Block FFQ 计算了 4 项基于建议的健康饮食指数(DASH 饮食,健康饮食指数-2015,替代健康饮食指数(aHEI-2010)和替代地中海饮食)的得分,该问卷在入组时完成。使用全血样本从 2694 名女性的病例对照样本中收集了全基因组 DNA 甲基化数据,并使用该数据生成了 4 种表观遗传年龄加速测量值(Hannum AgeAccel,Horvath AgeAccel,PhenoAgeAccel 和 GrimAgeAccel)。使用线性回归模型,调整协变量和队列抽样权重,来研究饮食习惯与生物年龄测量值之间的横断面关联。

结果

所有 4 种健康饮食指数均与表观遗传年龄加速呈负相关,尤其是与 PhenoAgeAccel 和 GrimAgeAccel。其中,aHEI-2010 的关联最强[每增加 1 个标准差的饮食质量,PhenoAgeAccelβ= -0.5 岁(95%CI:-0.8 至-0.2 岁)和 GrimAgeAccelβ= -0.4 岁(95%CI:-0.6 至-0.3 岁)]。虽然大多数生活方式因素没有观察到效应修饰,但在按体力活动分层的分析中,在不符合体力活动指南(报告每周运动时间<2.5 小时)的女性中,健康饮食对表观遗传年龄加速的益处更为明显。

结论

较高的饮食质量与基于甲基化的生物年龄测量值呈负相关。在体力活动水平较低的女性中,改善饮食可能会最大程度地降低生物年龄。该试验在 clinicaltrials.gov 上注册为 NCT00047970。

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