Evidence map›Paper›PMID 38844959›Full record

ArticleJournal of ovarian research2024

DNA methylation profiles of ovarian cysts resemble ovarian tissues but not endometrial tissues.

Xiaohui Zhang, Xiaojing Zhao, Jiapo Wang, Yifang Zhang, Jinhong Chen

Abstract read
In one paragraph

Article in Journal of ovarian research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

5 authors.

Xiaohui ZhangShanghai First Maternity and Infant Hospital, TongJi University School of Medicine, No. 2699, hi-tech west road, Pudong new area, Shanghai, 201204, China.
Xiaojing ZhaoSchool of Life Science and Technology, ShanghaiTech University, Shanghai, 201204, China.
Jiapo WangShanghai First Maternity and Infant Hospital, TongJi University School of Medicine, No. 2699, hi-tech west road, Pudong new area, Shanghai, 201204, China.
Yifang ZhangChangxing People's Hospital of Zhejiang Province, Zhejiang, 313100, China.
Jinhong ChenShanghai First Maternity and Infant Hospital, TongJi University School of Medicine, No. 2699, hi-tech west road, Pudong new area, Shanghai, 201204, China. JinzhongChen1230@163.com.

Funding

National Natural Science Foundation of China 31871332
6 · The paper itself

Abstract

introductionEndometriosis is a heritable, complex chronic inflammatory disease, for which much of the causal pathogenic mechanism remain unknown.Despite the high prevalence of ovarian chocolate cyst, its origin is still under debate.

methodsPrevailing retrograde menstruation model predicts that ectopic endometrial cells migrate and develop into ovarian chocolate cyst. However, other models were also proposed. Genome-wide association studies (GWASs) have proved successful in identifying common genetic variants of moderate effects for various complex diseases.

resultsA growing body of evidence shows that the remodeling of retrograde endometrial tissues to the ectopic endometriotic lesions involves multiple epigenetic alterations, such as DNA methylation, histone modification, and microRNA expression.Because DNA methylation states exhibit a tissue specific pattern, we profiled the DNA methylation for ovarian cysts and paired eutopic endometrial and ovarian tissues from four patients. Surprisingly, DNA methylation profiles showed the ovarian cysts were closely grouped with normal ovarian but not endometrial tissues.

conclusionsThese results suggested alterative origin of ovarian cysts or strong epigenetic reprogramming of infiltrating endometrial cells after seeding the ovarian tissue. The data provide contributing to the pathogenesis and pathophysiology of endometriosis.

Indexed as

DNA MethylationEndometriumOvarian CystsOvaryAdultEndometriosisEpigenesis, GeneticFemaleHumansDNA methylationOvarian endometriosisTissue of origin

Identifiers

PMID38844959
PMCPMC11155058

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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.