Eapen Amy A, Loveless Ian M, Pan Mingming, Liang Xiaoyu, Urquhart Audrey, Straughen Jennifer, Cassidy-Bushrow Andrea E, Sitarik Alexandra R, Simmerman Neil, Thompson Emma E, Kottyan Leah, Ober Carole, Johnson Christine C, Zoratti Edward, Levin Albert M
Division of Allergy and Clinical Immunology, Department of Internal Medicine, Henry Ford Health + Michigan State University Health Sciences, Detroit, MI.
Department of Medicine, College of Human Medicine, Michigan State University.
bioRxiv. 2025 Jun 18:2025.06.13.659090. doi: 10.1101/2025.06.13.659090.
DNA methylation (DNAm), capturing biological gestational age (GA) and epigenetic gestational age acceleration (EGAA), can be modified by environmental exposures. The Asthma&Allergy array is a new DNAm array developed with content focused on asthma and allergy loci. The association between content on the Asthma&Allergy array and chronological GA and EGAA has not been evaluated alone or in the context of perinatal exposures. We performed an epigenome wide association study(EWAS) based on chronological GA at single CpG sites and regions. We further constructed a multi-CpG site methylation model to predict chronological GA in cord blood from 391 newborn children from a Detroit-based birth cohort. Associations between perinatal environmental factors with GA, epigenetic gestational age (EGA), and EGAA were assessed. We identified 2,435 CpG sites associated with chronological GA. HLA class II () were the most significantly associated with chronological GA. Our multi-CpG site model attained predictive accuracy (cross-validated Pearson's correlation=0.75) comparable to other EGA methods. Using genes implicated in region-based analyses (n=395 regions), the pathways most significantly enriched with chronological GA-associated CpGs included T helper 1(Th1) and 2(Th2) activation, macrophage classical activation, and IL10 signaling, which were also enriched in at least one of the other published epigenetic clocks. In multi-exposure models, prenatal indoor pet exposure and unplanned C-section were associated with EGA deceleration, while infant's first-born status was associated with EGAA. Our findings highlight enrichment for T cell modulated pathways and antigen presentation as biological processes enriched in chronological GA, as well as novel perinatal factors that may impact EGAA.
DNA甲基化(DNAm)能够反映生物学胎龄(GA)和表观遗传胎龄加速(EGAA),且会受到环境暴露的影响。哮喘与过敏芯片是一种新开发的DNAm芯片,其内容聚焦于哮喘和过敏相关位点。哮喘与过敏芯片上的内容与实际胎龄和EGAA之间的关联尚未单独评估,也未在围产期暴露的背景下进行评估。我们基于单个CpG位点和区域的实际胎龄进行了一项表观基因组全关联研究(EWAS)。我们进一步构建了一个多CpG位点甲基化模型,以预测底特律出生队列中391名新生儿脐带血中的实际胎龄。评估了围产期环境因素与胎龄、表观遗传胎龄(EGA)和EGAA之间的关联。我们确定了2435个与实际胎龄相关的CpG位点。人类白细胞抗原II类(HLA class II)与实际胎龄的相关性最为显著。我们的多CpG位点模型获得的预测准确性(交叉验证的皮尔逊相关系数=0.75)与其他EGA方法相当。利用基于区域分析涉及的基因(n = 395个区域),与实际胎龄相关的CpG位点最显著富集的通路包括辅助性T细胞1(Th1)和2(Th2)激活、巨噬细胞经典激活以及IL10信号传导,这些通路在其他已发表的表观遗传时钟中至少有一个也有富集。在多暴露模型中,产前室内宠物暴露和计划外剖宫产与EGA减速相关,而婴儿的头胎身份与EGAA相关。我们的研究结果突出了T细胞调节通路和抗原呈递作为实际胎龄中富集的生物学过程,以及可能影响EGAA的新的围产期因素。