4.5 Article

Genome-wide methylation profiling in granulosa lutein cells of women with polycystic ovary syndrome (PCOS)

期刊

出版社

ELSEVIER IRELAND LTD
DOI: 10.1016/j.mce.2019.110611

关键词

PCOS; EWAS; DNA methylation; Metabolic syndrome; Reproduction

资金

  1. Genesis Research Trust
  2. Li Ka Shing Foundation
  3. WT-SSI/John Fell funds
  4. NIHR Biomedical Research Centre, Oxford
  5. NIH [CRR00070 CR00.01]
  6. MRC [G0802782, MR/M012638/1]
  7. Widenlife
  8. MRC [MR/M012638/1, G0802782] Funding Source: UKRI

向作者/读者索取更多资源

Polycystic Ovary Syndrome (PCOS) is the most common endocrine disorder amongst women of reproductive age, whose aetiology remains unclear. To improve our understanding of the molecular mechanisms underlying the disease, we conducted a genome-wide DNA methylation profiling in granulosa lutein cells collected from 16 women suffering from PCOS, in comparison to 16 healthy controls. Samples were collected by follicular aspiration during routine egg collection for IVF treatment. Study groups were matched for age and BMI, did not suffer from other disease and were not taking confounding medication. Comparing women with polycystic versus normal ovarian morphology, after correcting for multiple comparisons, we identified 106 differentially methylated CpG sites with p-values < 5.8 x 10(-8) that were associated with 88 genes, several of which are known to relate either to PCOS or to ovarian function. Replication and validation of the experiment was done using pyrosequencing to analyse six of the identified differentially methylated sites. Pathway analysis indicated potential disruption in canonical pathways and gene networks that are, amongst other, associated with cancer, cardiogenesis, Hedgehog signalling and immune response. In conclusion, these novel findings indicate that women with PCOS display epigenetic changes in ovarian granulosa cells that may be associated with the heterogeneity of the disorder.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据