新生儿甲基化与特定孕期产前 PM2.5 暴露的表观基因组关联。

IF 3.3 Q2 ENVIRONMENTAL SCIENCES
Environmental Epidemiology Pub Date : 2022-10-03 eCollection Date: 2022-10-01 DOI:10.1097/EE9.0000000000000227
Milan N Parikh, Cole Brokamp, Erika Rasnick, Lili Ding, Tesfaye B Mersha, Katherine Bowers, Alonzo T Folger
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引用次数: 0

摘要

暴露于空气动力学直径小于 2.5 微米(PM2.5)的颗粒物会通过炎症等生理途径影响出生结果。PM2.5影响生理的一个潜在途径可能是改变DNA甲基化(DNAm)。考虑到妊娠期特定窗口期的暴露可能会对DNAm产生独特影响,我们假设妊娠期PM2.5暴露与新生儿上皮细胞表观基因组中的DNAm之间存在时间特异性关联:在收集了91名新生儿的唾液样本后,使用MethylationEPIC阵列评估了表观基因组中超过85万个胞嘧啶-鸟嘌呤二核苷酸(CpG)甲基化位点的DNAm。每日环境 PM2.5 浓度是根据母亲怀孕期间的主要居住地址估算的。PM2.5在前两个孕期分别和合并平均,并通过全表观基因组关联(EWA)分析检测与DNAm的关联。对于每个EWA,假发现率(FDR)校正后的P<0.05即为显著发现,每个未校正P<0.0001的CpG位点都被选中进行通路和网络分析,以确定其富集的分子功能:我们的分析表明,cg18705808与PM2.5的综合平均值相关。通路和网络分析显示前两个三个月的相似性很小。之前的研究报告称,受 cg18705808 调控的基因 TMEM184A 在炎症通路中可能发挥作用:结论:通路和网络分析中的差异可能表明 PM2.5 对 DNAm 的影响具有妊娠三个月的特异性。进一步进行时间分辨率更高的分析对于全面描述PM2.5对DNAm和儿童发育的影响很有价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Epigenome-wide association of neonatal methylation and trimester-specific prenatal PM<sub>2.5</sub> exposure.

Epigenome-wide association of neonatal methylation and trimester-specific prenatal PM2.5 exposure.

Exposure to particulate matter with an aerodynamic diameter smaller than 2.5 microns (PM2.5) can affect birth outcomes through physiological pathways such as inflammation. One potential way PM2.5 affects physiology could be through altering DNA methylation (DNAm). Considering that exposures during specific windows of gestation may have unique effects on DNAm, we hypothesized a timing-specific association between PM2.5 exposure during pregnancy and DNAm in the neonatal epithelial-cell epigenome.

Methods: After collecting salivary samples from a cohort of 91 neonates, DNAm was assessed at over 850,000 cytosine-guanine dinucleotide (CpG) methylation sites on the epigenome using the MethylationEPIC array. Daily ambient PM2.5 concentrations were estimated based on the mother's address of primary residence during pregnancy. PM2.5 was averaged over the first two trimesters, separately and combined, and tested for association with DNAm through an epigenome-wide association (EWA) analysis. For each EWA, false discovery rate (FDR)-corrected P < 0.05 constituted a significant finding and every CpG site with uncorrected P < 0.0001 was selected to undergo pathway and network analysis to identify molecular functions enriched by them.

Results: Our analysis showed that cg18705808 was associated with the combined average of PM2.5. Pathway and network analysis revealed little similarity between the first two trimesters. Previous studies reported that TMEM184A, the gene regulated by cg18705808, has a putative role in inflammatory pathways.

Conclusions: The differences in pathway and network analyses could potentially indicate trimester-specific effects of PM2.5 on DNAm. Further analysis with greater temporal resolution would be valuable to fully characterize the effect of PM2.5 on DNAm and child development.

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来源期刊
Environmental Epidemiology
Environmental Epidemiology Medicine-Public Health, Environmental and Occupational Health
CiteScore
5.70
自引率
2.80%
发文量
71
审稿时长
25 weeks
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