MeDIP and hMeDIP assays using human placentas of obese and lean (healthy weight) pregnancies

gse69769

Description

Maternal obesity has both a direct effect on the outcome of pregnancy but also programs the fetus for obesity and metabolic syndrome in later life. Due to its roles at the interface between mother and fetus, the placenta transduces and mediates the effects of the obese intrauterine environment on the fetus. Here we have generated genome-scale high-resolution maps of 5mC and 5hmC in human placentas of obese and healthy weight pregnancies. Widespread alterations to the placental epigenome identified across the genome in the setting of maternal adiposity are primarily characterized by increase in 5mC and reciprocal decrease in 5hmC. This is also evident at the two pregnancy-associated gene clusters on chromosomes 17 and 19. In addition, maternal adiposity is associated with downregulation of ten-eleven translocation (TET) and isocitrate dehydrogenase (IDH) family genes and is accompanied by decreased levels of α-ketoglutarate (αKG) in the placenta. Of note, αKG levels exhibit a close positive correlation with both ascorbate and aconitate levels and less substantial but significant association with global 5hmC levels and placenta-specific gene expression. These observations suggest a mechanistic linkage between obesogenic environment and conversion efficiency of 5mC to 5hmC and highlight the idea that TET-mediated active DNA demethylation pathway can sense and respond to metabolic derangements and plays a role in subsequent cellular adaptation. Collectively, this study demonstrates that altered DNA demethylation process is likely one of the mechanisms underlying metabolic modulation of the placental epigenome with maternal adiposity.

Overall Design

Comparison of lean vs obese epigenomes in human pregnancies

Histogram

Data and Resources

Raw Files [4]

Additional Info

Field Value
Source https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE69769
Type of Data

Methylation profiling by genome tiling array

Technology

Methylation Array

GSE Submission Date 11/06/2015
GSE Authors Kohzoh,,Mitsuya; Leslie Myatt
Dataset Last Updated December 1, 2020, 21:34 (UTC)
Dataset Created December 1, 2020, 17:09 (UTC)