Evidence mapPaperPMID 42434301Full record

ReviewFrontiers in endocrinology2026

The hypoxia-epigenetics-ncRNA axis in endometriosis: from molecular cascades to self-sustaining pathogenic circuits.

Yangyi Zhang, Yating Zhan, Hao Wu, Weifeng Huang, Juan Du

Abstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yangyi Zhang *Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Yating Zhan *Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Hao WuChengdu University of Traditional Chinese Medicine, Chengdu, China.
Weifeng HuangChengdu University of Traditional Chinese Medicine, Chengdu, China.
Juan DuChengdu University of Traditional Chinese Medicine, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endometriosis is a debilitating chronic inflammatory disorder driven by extensive molecular reprogramming. Despite significant bench research into its pathogenesis, translating these molecular discoveries into clinical practices that improve patient outcomes remains a critical challenge. This comprehensive review bridges the gap between basic life sciences and clinical application by delineating the hypoxia-epigenetics-non-coding RNA (ncRNA) axis as the primary engine of endometriosis pathogenesis. We elucidate how microenvironmental stress, specifically hypoxia via HIF-1α stabilization, initiates a coordinated cascade of aberrant DNA methylation, post-translational histone modifications, and ncRNA dysregulation. We illustrate how these isolated molecular events converge into a highly integrated, self-sustaining pathogenic circuit that drives hallmark clinical phenotypes, including progesterone resistance, chronic inflammation, and tissue invasiveness. To overcome traditional disciplinary silos, we propose a four-stage dynamic progression model that maps the transition from acute epigenetic stress to chronic disease manifestation, offering a robust framework for clinical stratification. Disrupting this specific axis offers new avenues for non-hormonal precision therapeutics and the development of non-invasive diagnostic biomarkers to address significant unmet clinical needs in endometriosis management.

Indexed as

EndometriosisEpigenesis, GeneticHypoxiaRNA, UntranslatedAnimalsDNA MethylationFemaleHumansRNA, UntranslatedDNA methylationendometriosisepigeneticshypoxianon-coding RNApost-translational modificationtherapeutic targets

Identifiers

PMID42434301
PMCPMC13349913

What Socratic holds

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LicenceCC BY
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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.