The joint effects of exposure to ambient long-term air pollution and short-term heat on epigenetic aging in the Health and Retirement Study.

Kristina Van Dang,Eun Young Choi,Eileen Crimmins,Caleb Finch,Jennifer Ailshire
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Abstract

Prior research has examined associations of exposure to air pollution and heat with epigenetic alterations separately; however, these two exposures commonly used to measure climate change typically co-occur. We examine joint effects of exposure to elevated PM2.5 and heat on DNA methylation (DNAm). Data come from the 2016 Health and Retirement Study DNAm Sample (N=3,947) and census tract level annual ambient PM2.5 concentrations and daily heat index data averaged 7-days before blood collection. We used five epigenetic aging measures: Horvath, Hannum, PhenoAge, GrimAge, DunedinPACE. Four categories of joint PM2.5 and heat were analyzed: (1=reference) low PM2.5 (<9.2 𝜇g/m3) and low heat (<80 on heat index); (2) low PM2.5 and high heat; (3) high PM2.5 and low heat; and (4) high PM2.5 and high heat. Linear regression models were adjusted for age, gender, race/ethnicity, education, neighborhood poverty, and cell type. Compared to the reference of low PM2.5 and heat, we found associations of short-term (7-day) high heat and long-term (annual) low PM2.5 with accelerated DNAm aging for Horvath (𝛽=0.74 95%CI:0.04, 1.15), Hannum (𝛽=0.74 95% CI:0.20, 1.28) and PhenoAge (𝛽=0.93 95% CI:0.33, 1.52). High PM2.5 and low heat had weaker associations (Horvath 𝛽=-0.001 95%CI:-0.68, 0.68, Hannum 𝛽=0.36 95%CI:-034, 1.05; PhenoAge 𝛽=0.18 95%CI:-0.56, 0.92), as did joint effects of high PM2.5 and high heat (Horvath 𝛽=0.11 95%CI:-0.68, 0.89, Hannum 𝛽=0.42 95%CI:-0.46, 1.20; PhenoAge 𝛽=0.56 95%CI:-0.30, 1.42). Exposure to short-term high heat and low air pollution may accelerate epigenetic aging.
健康与退休研究:暴露于环境长期空气污染和短期高温对表观遗传衰老的共同影响。
先前的研究分别研究了暴露于空气污染和高温与表观遗传改变的关系;然而,通常用于测量气候变化的这两种暴露通常同时发生。我们研究了暴露于PM2.5升高和高温对DNA甲基化(DNAm)的共同影响。数据来自2016年健康与退休研究样本(N= 3947)和普查区水平的年度环境PM2.5浓度和采血前平均7天的每日热指数数据。我们使用了五种表观遗传衰老测量方法:Horvath, Hannum, PhenoAge, GrimAge, DunedinPACE。将PM2.5与热量联合分析四类:(1=参考)低PM2.5(<9.2𝜇g/m3)和低热量(热指数<80);(2) PM2.5低,热量高;(3) PM2.5高,热量低;(4)高PM2.5和高温。线性回归模型根据年龄、性别、种族/民族、教育、社区贫困和细胞类型进行调整。与低PM2.5和热量的参考值相比,我们发现短期(7天)高热量和长期(一年)低PM2.5与Horvath (0.05 =0.74 95%CI:0.04, 1.15)、Hannum (0.05 =0.74 95%CI: 0.20, 1.28)和PhenoAge (0.05 =0.93 95%CI: 0.33, 1.52)的DNAm加速老化有关。高PM2.5与低热量的相关性较弱(Horvath时延=-0.001 95%CI:-0.68, 0.68, Hannum时延=0.36 95%CI:-034, 1.05;高PM2.5和高温的联合效应(Horvath时延=0.11 95%CI:-0.68, 0.89, Hannum时延=0.42 95%CI:-0.46, 1.20;PhenoAge =0.56 95%CI:-0.30, 1.42)。暴露于短期高温和低空气污染可能加速表观遗传老化。
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