体型、饮食质量和表观遗传衰老:横断面和纵向分析。

Danmeng Lily Li, Allison M Hodge, Lachlan Cribb, Melissa C Southey, Graham G Giles, Roger L Milne, Pierre-Antoine Dugué
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引用次数: 0

摘要

表观遗传年龄是一种新兴的健康标志,对疾病和死亡风险具有很强的预测性。关于生活方式的改变是否与表观遗传年龄的变化有关,目前还缺乏证据。我们使用了墨尔本队列协作研究(Melbourne Collaborative Cohort Study)中 1041 名参与者的数据,这些参与者在基线(1990-1994 年,平均年龄:57.4 岁)和随访(2003-2007 年,平均年龄:68.8 岁)期间进行了血液 DNA 甲基化测量。替代健康饮食指数-2010(AHEI-2010)、地中海饮食评分和饮食炎症指数被用来衡量饮食质量,体重、腰围和腰臀比被用来衡量体型。考虑了五种经年龄调整的表观遗传老化测量方法:GrimAge、PhenoAge、PCGrimAge、PCPhenoAge 和 DunedinPACE。多变量线性回归模型包括限制性三次样条,用于评估体型和饮食质量与表观遗传老化的横向和纵向关系。在两个时间点上,体重与表观遗传老化之间的横截面关系均为正相关,且达尼丁年龄(DunedinPACE)(每标准差:β~0.24)似乎大于 GrimAge 和 PhenoAge(β~0.10)。与体重变化的纵向关系明显呈非线性(U 形),体重稳定与随访时表观遗传老化程度最低有关,但 DunedinPACE 除外,只有体重增加与体重变化呈正相关。我们发现,AHEI-2010 的横向和纵向关系均为负线性关系。其他脂肪测量指标和饮食评分也显示出类似的结果。在中老年人中,饮食质量下降和体重增加可能会增加表观遗传年龄,而体重减轻的相关性可能需要进一步研究。我们的研究揭示了体重管理和饮食改善在延缓衰老过程中的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Body Size, Diet Quality, and Epigenetic Aging: Cross-Sectional and Longitudinal Analyses.

Epigenetic age is an emerging marker of health that is highly predictive of disease and mortality risk. There is a lack of evidence on whether lifestyle changes are associated with changes in epigenetic aging. We used data from 1 041 participants in the Melbourne Collaborative Cohort Study with blood DNA methylation measures at baseline (1990-1994, mean age: 57.4 years) and follow-up (2003-2007, mean age: 68.8 years). The Alternative Healthy Eating Index-2010 (AHEI-2010), the Mediterranean Dietary Score, and the Dietary Inflammatory Index were used as measures of diet quality, and weight, waist circumference, and waist-to-hip ratio as measures of body size. Five age-adjusted epigenetic aging measures were considered: GrimAge, PhenoAge, PCGrimAge, PCPhenoAge, and DunedinPACE. Multivariable linear regression models including restricted cubic splines were used to assess the cross-sectional and longitudinal associations of body size and diet quality with epigenetic aging. Associations between weight and epigenetic aging cross-sectionally at both time points were positive and appeared greater for DunedinPACE (per SD: β ~0.24) than for GrimAge and PhenoAge (β ~0.10). The longitudinal associations with weight change were markedly nonlinear (U-shaped) with stable weight being associated with the lowest epigenetic aging at follow-up, except for DunedinPACE, for which only weight gain showed a positive association. We found negative, linear associations for AHEI-2010 both cross-sectionally and longitudinally. Other adiposity measures and dietary scores showed similar results. In middle-aged to older adults, declining diet quality and weight gain may increase epigenetic age, while the association for weight loss may require further investigation. Our study sheds light on the potential of weight management and dietary improvement in slowing aging processes.

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