Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1057, New York, NY, 10029, USA.
Department of Pediatrics, Icahn School of Medicine at Mount Sinai, Box 1057, 1 Gustave Levy Place, New York, NY, 10029, USA.
Curr Environ Health Rep. 2018 Dec;5(4):531-543. doi: 10.1007/s40572-018-0217-9.
Herein, we summarize existent epidemiological studies relating adverse maternal metabolic environments of maternal obesity and gestational diabetes and placental DNA methylation.
Multiple studies have evaluated associations between intrauterine exposure to gestational diabetes and/or maternal glucose levels and DNA methylation at candidate metabolic genes as well as in epigenome-wide studies. Some of the genomic regions more consistently associated include lipid-related genes (LPL and PPARGC1A), the major histocompatibility complex (MHC), and imprinted genes. Studies solely focused on maternal obesity influences on the placental epigenome are scarce. Understanding the placental mechanisms involved in fetal metabolic programming could lead to discovery of placental biomarkers at birth that predict later-life metabolic risk. Moving forward is important to standardize methods utilized in epigenetics research; consistent methodology can help interpret disparate findings. Larger studies with longitudinal follow-up are needed to address future challenges in fetal programming research.
本文总结了目前有关母体肥胖和妊娠期糖尿病的不良代谢环境与胎盘 DNA 甲基化的关系的流行病学研究。
多项研究评估了宫内暴露于妊娠期糖尿病和/或母体血糖水平与候选代谢基因的 DNA 甲基化以及全基因组范围内的 DNA 甲基化之间的关联。与更多基因相关的基因组区域包括与脂质相关的基因(LPL 和 PPARGC1A)、主要组织相容性复合体(MHC)和印迹基因。仅关注母体肥胖对胎盘表观基因组影响的研究很少。了解胎儿代谢编程中涉及的胎盘机制可以发现出生时的胎盘生物标志物,从而预测日后的代谢风险。未来的研究中,重要的是要标准化表观遗传学研究中使用的方法;一致的方法有助于解释不同的发现。需要进行更大规模的、具有纵向随访的研究,以解决胎儿编程研究中的未来挑战。