Aberrant expression and DNA methylation of lipid metabolism genes in PCOS: a new insight into its pathogenesis

Clin Epigenetics. 2018 Jan 12:10:6. doi: 10.1186/s13148-018-0442-y. eCollection 2018.

Abstract

Background: Polycystic ovary syndrome (PCOS), whose etiology remains uncertain, is a highly heterogenous and genetically complex endocrine disorder. The aim of this study was to identify differentially expressed genes (DEGs) in granulosa cells (GCs) from PCOS patients and make epigenetic insights into the pathogenesis of PCOS.

Results: Included in this study were 110 women with PCOS and 119 women with normal ovulatory cycles undergoing in vitro fertilization acting as the control group. RNA-seq identified 92 DEGs unique to PCOS GCs in comparison with the control group. Bioinformatic analysis indicated that synthesis of lipids and steroids was activated in PCOS GCs. 5-Methylcytosine analysis demonstrated that there was an approximate 25% reduction in global DNA methylation of GCs in PCOS women (4.44 ± 0.65%) compared with the controls (6.07 ± 0.72%; P < 0.05). Using MassArray EpiTYPER quantitative DNA methylation analysis, we also found hypomethylation of several gene promoters related to lipid and steroid synthesis, which might result in the aberrant expression of these genes.

Conclusions: Our results suggest that hypomethylated genes related to the synthesis of lipid and steroid may dysregulate expression of these genes and promote synthesis of steroid hormones including androgen, which could partially explain mechanisms of hyperandrogenism in PCOS.

Keywords: Hyperandrogenism; Methylation; Polycystic ovary syndrome; RNA-seq; Synthesis of lipid and steroid.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Case-Control Studies
  • Computational Biology
  • DNA Methylation*
  • Epigenesis, Genetic
  • Female
  • Gene Expression Profiling / methods*
  • Gene Regulatory Networks*
  • Genetic Predisposition to Disease
  • Humans
  • Lipid Metabolism
  • Polycystic Ovary Syndrome / genetics*
  • Polycystic Ovary Syndrome / metabolism
  • Promoter Regions, Genetic
  • Sequence Analysis, DNA / methods*
  • Sequence Analysis, RNA / methods