Evidence map›Paper›PMID 41663865›Full record

ReviewReproductive sciences (Thousand Oaks, Calif.)2026

Advances in the Role of Endometrial Microbiota Alterations in the Pathogenesis of Endometriosis.

Ziying Xu, Weina Guo, Yi Shen

Abstract readReview
PubMed Publisher
In one paragraph

Review in Reproductive sciences (Thousand Oaks, Calif.), 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

3 authors.

Ziying XuDepartment of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Weina GuoDepartment of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Yi ShenDepartment of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China. xiehesy@163.com.ORCID 0009-0005-3523-3431

Funding

the Natural Science Foundation of Hubei Province 20181152
6 · The paper itself

Abstract

The uterine cavity was formerly considered sterile; however, over recent years, researchers have identified the presence of endometrial microbiota. An imbalance in the endometrial microbiota, or dysbiosis, has been shown to be associated with a variety of gynecological diseases. Endometriosis (EM) is a chronic and inflammatory gynecological disease that affects 6-10% of all women of reproductive-age. Previous studies suggested that endometrial dysbiosis can participate in the development of EM by generating an inflammatory state, leading to disorders of immune homeostasis and thus creating an intrauterine environment conducive to endometrial stromal cell migration and adhesion. In this review, we investigate differences in the endometrial microbiota of patients with EM compared with that of healthy women and discuss the possible pathogenic mechanisms responsible for endometrial dysbiosis. Critically, we identified that an increase of lipopolysaccharides resulting from microbiological disorders may generate chronic inflammation, leading to increased adhesion and angiogenesis, and the development of EM. The findings of our review may identify new therapeutic strategies and potential therapeutic targets for EM.

Indexed as

DysbiosisEndometriosisEndometriumMicrobiotaAnimalsCell AdhesionCell MovementFemaleHumansInflammationLipopolysaccharidesLipopolysaccharidesEndometrial microbiotaEndometriosisImmune dysregulationInflammationLipopolysaccharides

Identifiers

What Socratic 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 Socratic graph.