Evidence map›Paper›PMID 31273584›Full record

ArticleJournal of assisted reproduction and genetics2019

Genome-wide DNA methylation profiling in ectopic and eutopic of endometrial tissues.

Nadia Barjaste, Maryam Shahhoseini, Parvaneh Afsharian, Ali Sharifi-Zarchi, Ali Masoudi-Nejad

Open access · greenAbstract read
In one paragraph

Article in Journal of assisted reproduction and genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Endometriosis: Challenges in Clinical Molecular Diagnostics and Treatment.International journal of molecular sciences · 2025
    Review
  5. Review
  6. The roles of chromatin regulatory factors in endometriosis.Journal of assisted reproduction and genetics · 2024
    Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
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 at 3 institutions in 3 countries.

Nadia BarjasteLaboratory of Bioinformatics and Systems Biology, Department of Bioinformatics, University of Tehran, Kish International Campus, Kish, Iran.
Maryam ShahhoseiniDepartment of Genetics, Reproductive Biomedicine Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran.
Parvaneh AfsharianDepartment of Genetics, Reproductive Biomedicine Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran.
Ali Sharifi-ZarchiDepartment of Computer Engineering, Sharif University of Technology, Tehran, Iran.
Ali Masoudi-NejadLaboratory of Bioinformatics and Systems Biology, Department of Bioinformatics, University of Tehran, Kish International Campus, Kish, Iran. amasoudin@ut.ac.ir.ORCID http://orcid.org/0000-0003-0659-5183
Royan Institute · IRUniversity of Tehran · IRSharif University of Technology · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeEndometriosis is a gynecological disease that causes the uterine lining to appear in other organs outside the uterus. As DNA methylation has an important role in this disorder, its profiling can reveal new information to improve the diagnosis and treatment of endometriosis patients.

methodsWe conducted a genome-wide methylation profiling of ectopic and eutopic endometrial tissues from women with and without endometriosis using Infinium Human Methylation 450K BeadChip arrays. DNA methylation samples were collected from nine ectopic and nine eutopic endometrial tissues of endometriosis and six endometrial tissues of healthy controls.

resultsCorrelation heatmaps and the principal component analysis divided the samples into two clusters, one consisting of all ectopic samples and the other consisting of both eutopic and control samples unexpectedly without segregation between them. The assay identified a group of methylated genes that were overrepresented in biological processes, including abnormality in signaling, development, and adhesion of cells. Pathway analysis revealed disruption in HTLV infection pathways, PI3K-Akt, oxytocin, and relaxin signaling. Moreover, we found eutopic lesions are strongly associated with autoimmune disease.

conclusionsOur results confirmed the role of DNA methylation alternations in endometriosis development and pathogenesis. Our finding suggests aberrant DNA methylation can activate several signaling pathways including PI3k-AKT signaling, relaxin, and oxytocin which are associated with the pathogenesis of endometriosis.

Indexed as

DNA MethylationGene Expression RegulationSignal TransductionAdultCase-Control StudiesEndometriosisEndometriumFemaleHumansYoung AdultDifferentially methylated regionsEndometriosisEpigeneticsSignaling pathways

Identifiers

PMID31273584
PMCPMC6708023
OpenAlexW2955405490

What OpenQuestion holds

Textmetadata
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.