Evidence map›Paper›PMID 40565325›Full record

ReviewInternational journal of molecular sciences2025

The Role of miRNA in Endometriosis-Related Infertility-An Update.

Hanna Surmann, Ludwig Kiesel

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. MicroRNA Crossroads in PCOS and Endometriosis.Reproductive sciences (Thousand Oaks, Calif.) · 2026
    Review
  5. Review
  6. 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

2 authors.

Hanna SurmannDepartment of Gynecology and Obstetrics, University of Muenster, Albert-Schweitzer Campus 1, 48149 Münster, Germany.
Ludwig KieselDepartment of Gynecology and Obstetrics, University of Muenster, Albert-Schweitzer Campus 1, 48149 Münster, Germany.ORCID 0000-0002-7247-9247

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endometriosis, affecting up to 10% of women in their reproductive years, is a chronic and multifactorial disease characterized by the presence of endometrial tissue outside the uterus. Traditionally associated with pain and infertility, recent studies highlight its systemic nature, implicating inflammatory, immunological, and hormonal dysregulation in its pathogenesis. This paper explores the emerging role of microRNAs (miRNAs) in the pathophysiology of endometriosis and its related infertility. Evidence suggests that dysregulation of specific miRNAs influences cellular proliferation, migration, and progesterone resistance, thereby contributing to the development and progression of endometriotic lesions. Additionally, altered miRNA expression profiles hold promise as non-invasive biomarkers for improving diagnostic accuracy and as potential targets for novel therapeutic interventions. Although current diagnostic methods, such as laparoscopy, remain the gold standard, the integration of miRNA-based approaches could reduce reliance on invasive procedures and enhance treatment outcomes. Ultimately, further research-particularly regarding the interplay between endometriosis and infertility-is crucial to fully elucidate these complex mechanisms and foster the development of more effective diagnostic and therapeutic strategies.

Indexed as

EndometriosisInfertility, FemaleMicroRNAsAnimalsBiomarkersEndometriumFemaleGene Expression RegulationHumansBiomarkersMicroRNAsdiagnosticendometriosisinfertilitymiRNAtherapy

Identifiers

PMID40565325
PMCPMC12193008

What Socratic holds

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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 Socratic graph.