Evidence map›Paper›PMID 25051372›Full record

ArticleOncotarget2014

Genome-wide DNA methylation and gene expression patterns provide insight into polycystic ovary syndrome development.

Xiu-Xia Wang, Jing-Zan Wei, Jiao Jiao, Shu-Yi Jiang, Da-Hai Yu, Da Li

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 2 pooled it
8.8field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

43 citing papers in PubMed, 2 syntheses or guidelines pooled it, 89 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. The Plasma Glycome Differences Between Women with PCOS and Healthy Controls.International journal of molecular sciences · 2026
    Article
  5. Metabolic Signature ofJournal of personalized medicine · 2025
    Review
  6. Review
  7. Review
  8. Article
  9. Updates on Molecular Targets and Epigenetic-Based Therapies for PCOS.Reproductive sciences (Thousand Oaks, Calif.) · 2023
    Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Polycystic Ovary Syndrome: the Epigenetics Behind the Disease.Reproductive sciences (Thousand Oaks, Calif.) · 2022
    Review
  16. Article
  17. Article
  18. Review
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Xiu-Xia WangDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
Jing-Zan WeiDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
Jiao JiaoDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
Shu-Yi JiangDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
Da-Hai YuDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
Da LiDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polycystic ovary syndrome (PCOS) is one of the most common endocrine disorders in women. However, the epigenetic mechanism involved in PCOS progression remains largely unknown. Here, combining the DNA methylation profiling together with transcriptome analysis, we showed that (i) there were 7929 differentially methylated CpG sites (β > 0.1, P < 0.05) and 650 differential transcripts (fold change > 1.5, P < 0.005) in PCOS compared to normal ovaries; (ii) 54 genes were identified with methylated levels that were correlated with gene transcription in PCOS; and (iii) there were less hypermethylated sites, but many more hypomethylated sites residing in CpG islands and N_Shore in PCOS. Among these genes, we identified that several significant pathways, including the type I diabetes mellitus pathway, p53 signaling pathway and NOD-like receptor signaling pathway, and some immune and inflammatory diseases may be highly involved in PCOS development. These results suggested that differences in genome-wide DNA methylation and expression patterns exist between PCOS ovaries and normal ovaries; epigenetic mechanisms may in part be responsible for the different gene expression and PCOS phenotype. All of this may improve our understanding of the basic molecular mechanism underlying the development of PCOS.

Indexed as

DNA MethylationFemaleGene ExpressionGene Expression ProfilingGenetic Predisposition to DiseaseHumansPolycystic Ovary SyndromeSignal Transduction

Identifiers

PMID25051372
PMCPMC4196149
OpenAlexW2130006622

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.