Maternal-Fetal Metabolic Research Group, Institute of Biomedical Research of Girona, Salt, Spain.
Pediatric Endocrinology Research Group, Institute of Biomedical Research of Girona, Salt, Spain.
Obesity (Silver Spring). 2023 Jul;31(7):1903-1912. doi: 10.1002/oby.23780. Epub 2023 Jun 14.
Offspring exposed to gestational obesity have an increased risk for chronic diseases. Increasing evidence suggests that epigenetics may play a mechanistic role in metabolic programming. This study aimed to identify placental DNA methylation marks associated with gestational weight gain (GWG) and to study their association with offspring obesity parameters at school age.
A global methylation array was performed in 24 placentas from mothers with different degrees of GWG (screening sample). The methylation percentage of four cytosine-guanine (CpG) sites and the relative expression of the respective annotated genes were studied in 90 additional placentas (validation sample). Associations of these epigenetic marks with clinical parameters in the offspring at 6 years of age were examined.
The screening analysis identified 104 CpG sites (97 genes) associated with GWG. The validation analysis of four selected CpG sites (annotating for FRAT1, SNX5, and KCNK3 genes) showed that the upregulation of SNX5 methylation, the downregulation of FRAT1 methylation, and KCNK3 underexpression associated with an adverse metabolic phenotype in children of women with increased GWG.
These results suggest that placental regulation of FRAT1, SNX5, and KCNK3 relates to obesity parameters in offspring exposed to excessive GWG and thereby could condition the risk for future metabolic disorders.
暴露于妊娠期肥胖的后代患慢性病的风险增加。越来越多的证据表明,表观遗传学可能在代谢编程中发挥机制作用。本研究旨在确定与妊娠体重增加(GWG)相关的胎盘 DNA 甲基化标记,并研究它们与儿童在学龄期肥胖参数的关联。
对不同 GWG 程度的 24 例母亲的胎盘进行了全基因组甲基化分析(筛选样本)。在 90 例额外的胎盘(验证样本)中研究了四个胞嘧啶-鸟嘌呤(CpG)位点的甲基化百分比和各自注释基因的相对表达。检查了这些表观遗传标记与 6 岁时后代临床参数的相关性。
筛选分析确定了 104 个与 GWG 相关的 CpG 位点(97 个基因)。对四个选定的 CpG 位点(注释为 FRAT1、SNX5 和 KCNK3 基因)的验证分析表明,SNX5 甲基化的上调、FRAT1 甲基化的下调以及 KCNK3 的低表达与 GWG 增加的妇女的孩子的不良代谢表型相关。
这些结果表明,FRAT1、SNX5 和 KCNK3 的胎盘调节与暴露于过度 GWG 的后代的肥胖参数有关,从而可能影响未来代谢紊乱的风险。