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Long-term ambient particle exposures and blood DNA methylation age: findings from the VA normative aging study

机译:长期环境颗粒物暴露和血液DNA甲基化年龄:VA规范性衰老研究的发现

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摘要

Background: Ambient particles have been shown to exacerbate measures of biological aging; yet, no studies have examined their relationships with DNA methylation age (DNAm-age), an epigenome-wide DNA methylation based predictor of chronological age. Objective: We examined the relationship of DNAm-age with fine particulate matter (PM2.5), a measure of total inhalable particle mass, and black carbon (BC), a measure of particles from vehicular traffic. Methods: We used validated spatiotemporal models to generate 1-year PM2.5 and BC exposure levels at the addresses of 589 older men participating in the VA Normative Aging Study with 1–3 visits between 2000 and 2011 (n = 1032 observations). Blood DNAm-age was calculated using 353 CpG sites from the Illumina HumanMethylation450 BeadChip. We estimated associations of PM2.5 and BC with DNAm-age using linear mixed effects models adjusted for age, lifestyle/environmental factors, and aging-related diseases. Results: After adjusting for covariates, a 1-μg/m3 increase in PM2.5 (95% CI: 0.30, 0.75, P < 0.0001) was significantly associated with a 0.52-year increase in DNAm-age. Adjusted BC models showed similar patterns of association (β = 3.02, 95% CI: 0.48, 5.57, P = 0.02). Only PM2.5 (β = 0.54, 95% CI: 0.24, 0.84, P = 0.0004) remained significantly associated with DNAm-age in two-particle models. Methylation levels from 20 of the 353 CpGs contributing to DNAm-age were significantly associated with PM2.5 levels in our two-particle models. Several of these CpGs mapped to genes implicated in lung pathologies including LZTFL1, PDLIM5, and ATPAF1. Conclusion: Our results support an association of long-term ambient particle levels with DNAm-age and suggest that DNAm-age is a biomarker of particle-related physiological processes.
机译:背景:已经证明环境颗粒会加剧生物衰老的程度;然而,尚无研究检查它们与DNA甲基化年龄(DNAm-age)的关系,DNAm-age是基于表观基因组的DNA甲基化的时间顺序预测因子。目的:我们研究了DNAmage与细颗粒物(PM2.5)(一种可吸入颗粒物总量的度量)和黑碳(BC)(一种来自车辆交通的颗粒度量)之间的关系。方法:我们使用经过验证的时空模型在2000年至2011年间参加VA规范性衰老研究的589名老年男性的住所中生成了1年的PM2.5和BC暴露水平,进行了1-3次随访(n = 1032观察)。使用来自Illumina HumanMethylation450 BeadChip的353 CpG位点计算血液DNA年龄。我们使用针对年龄,生活方式/环境因素和衰老相关疾病调整的线性混合效应模型,估计了PM2.5和BC与DNAm-age的关联。结果:校正协变量后,PM2.5增加1μg/ m 3 (95%CI:0.30、0.75,P <0.0001)与DNAm 0.52年的增加显着相关-年龄。调整后的BC模型显示出相似的关联模式(β= 3.02,95%CI:0.48,5.57,P = 0.02)。在两粒子模型中,只有PM2.5(β= 0.54,95%CI:0.24,0.84,P = 0.0004)仍与DNAm-age显着相关。在我们的两粒子模型中,来自353个CpG中20个的甲基化水平与DNAm-年龄有关,与PM2.5水平显着相关。这些CpG中有几个定位到涉及肺部疾病的基因,包括LZTFL1,PDLIM5和ATPAF1。结论:我们的结果支持长期环境颗粒水平与DNAm-age的关联,并表明DNAm-age是颗粒相关生理过程的生物标记。

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