Kaur Kirtan, Lesseur Corina, Deyssenroth Maya A, Kloog Itai, Schwartz Joel D, Marsit Carmen J, Chen Jia
Department of Environmental Medicine, School of Medicine, NYU Langone Health, New York, NY, USA.
Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Environ Res. 2022 Aug;211:113066. doi: 10.1016/j.envres.2022.113066. Epub 2022 Mar 3.
Inhalation of ambient PM2.5, shown to be able to cross the placenta, has been linked to adverse obstetric and postnatal metabolic health outcomes. The placenta regulates fetal growth and influences postnatal development via fetal programming. Placental gene expression may be influenced by intrauterine exposures to PM2.5. Herein, we explore whether maternal PM2.5 exposure during pregnancy alters placental gene expression related to lipid and glucose metabolism in a U.S. birth cohort, the Rhode Island Child Health Study (RICHS). Average PM2.5 exposure level was estimated linking residential addresses and satellite data across the three trimesters using spatio-temporal models. Based on Gene Ontology annotations, we curated a list of 657 lipid and glucose metabolism genes. We conducted a two-staged analysis by leveraging placental RNA-Seq data from 148 subjects to identify top dysregulated metabolic genes associated with PM2.5 (Phase I) and then validated the results in placental samples from 415 participants of the cohort using RT-qPCR (Phase II). Associations between PM2.5 and placental gene expression were explored using multivariable linear regression models in the overall population and in sex-stratified analyses. The average level of PM2.5 exposure across pregnancy was 8.0μg/m, which is below the national standard of 12μg/m. Phase I revealed that expression levels of 32 out of the curated list of 657 genes were significantly associated with PM2.5 exposure (FDR P<0.01), 28 genes showed differential expression modified by sex of the infant. Five of these genes (ABHD3, ATP11A, CLTCL1, ST6GALNAC4 and PSCA) were validated using RT-qPCR. Associations were stronger in placentas from male births compared to females, indicating a sex-dependent effect. These genes are involved in inflammation, lipid transport, cell-cell communication or cell invasion. Our results suggest that gestational PM2.5 exposure may alter placental metabolic function. However, whether it confers long-term programming effects postnatally, especially in a sex-specific matter, warrants further studies.
已证明吸入环境中的细颗粒物(PM2.5)能够穿过胎盘,这与不良的产科和产后代谢健康结果有关。胎盘通过胎儿编程来调节胎儿生长并影响产后发育。胎盘基因表达可能会受到子宫内PM2.5暴露的影响。在此,我们在美国出生队列罗德岛儿童健康研究(RICHS)中探究孕期母亲暴露于PM2.5是否会改变与脂质和葡萄糖代谢相关的胎盘基因表达。利用时空模型,通过将居住地址与三个孕期的卫星数据相联系,估算了PM2.5的平均暴露水平。基于基因本体注释,我们精心挑选了一份包含657个脂质和葡萄糖代谢基因的列表。我们进行了两阶段分析,首先利用148名受试者的胎盘RNA测序数据来识别与PM2.5相关的最失调的代谢基因(第一阶段),然后使用逆转录定量聚合酶链反应(RT-qPCR)在该队列415名参与者的胎盘样本中验证结果(第二阶段)。在总体人群以及按性别分层的分析中,使用多变量线性回归模型探究了PM2.5与胎盘基因表达之间的关联。孕期PM2.5的平均暴露水平为8.0μg/m³,低于12μg/m³的国家标准。第一阶段显示,在精心挑选的657个基因列表中,有32个基因的表达水平与PM2.5暴露显著相关(错误发现率P<0.01),28个基因表现出因婴儿性别而改变的差异表达。其中5个基因(ABHD3、ATP11A、CLTCL1、ST6GALNAC4和PSCA)通过RT-qPCR得到了验证。与女性相比,男性出生的胎盘中的关联更强表明存在性别依赖性效应。这些基因参与炎症、脂质转运、细胞间通讯或细胞侵袭。我们的结果表明,孕期暴露于PM2.5可能会改变胎盘代谢功能。然而,它是否会在产后产生长期编程效应,尤其是在性别特异性方面,还有待进一步研究。