Evidence map›Paper›PMID 41193989›Full record

ArticleBMC microbiology2025

Reproductive tract microbiota dysbiosis in ovarian endometrioma and adenomyosis: multi-site 16S rRNA profiling and functional impact of key bacterial species on human endometrial stromal cells.

Junchi Li, Yulin Zhang, Junli Zhang, Chong Yue, Lan Guo, Guangji Yang, Zhimei Jiang, Dongyan Ren, Tao Yu

Abstract read
In one paragraph

Article in BMC microbiology, 2025. 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

9 authors.

Junchi Li *Reproductive Medicine Department of the First People's Hospital of Yunnan Province, No. 157, Jinbi Road, Xishan District, Kunming City, Yunnan Province, 650000, China.
Yulin Zhang *Kunming University of Science and Technology, No. 68, Wenchang Road, Wuhua District, Kunming City, Yunnan Province, 650000, China.
Junli ZhangKunming University of Science and Technology, No. 68, Wenchang Road, Wuhua District, Kunming City, Yunnan Province, 650000, China.
Chong YueKunming University of Science and Technology, No. 68, Wenchang Road, Wuhua District, Kunming City, Yunnan Province, 650000, China.
Lan GuoKunming University of Science and Technology, No. 68, Wenchang Road, Wuhua District, Kunming City, Yunnan Province, 650000, China.
Guangji YangThe Department of Gynecology of the First People's Hospital of Yunnan Province, No. 157, Jinbi Road, Xishan District, Kunming City, Yunnan Province, 650000, China.
Zhimei JiangFengqing County People's Hospital, Nanxi New District, Fengqing County, Lincang City, Yunnan Province, 677000, China.
Dongyan RenThe Department of Gynecology of the First People's Hospital of Yunnan Province, No. 157, Jinbi Road, Xishan District, Kunming City, Yunnan Province, 650000, China. 15198784215@163.com.
Tao YuThe Department of Gynecology of the First People's Hospital of Yunnan Province, No. 157, Jinbi Road, Xishan District, Kunming City, Yunnan Province, 650000, China. 13987659711@163.com.

Funding

the Clinical Medical Research Center Open Project of The First People's Hospital of Yunnan Province Grant No. 2023YJZX-FC17the Yunnan Provincial Department of Science and Technology-Kunming Medical University Applied Basic Research Joint Special Project Grant No. 202401AY070001-121
6 · The paper itself

Abstract

objectiveTo characterize the reproductive tract microbiota in patients with ovarian chocolate cysts (CC) and adenomyosis (AM) compared to controls (NC), and investigate the in vitro effects of representative differential bacteria on human endometrial stromal cells (T-HESC).

methodsMicrobiota profiles from the cervical canal, posterior fornix, ascites, and endometrium of 20 CC, 20 AM, and 20 NC patients were analyzed using 16S rRNA sequencing. Bioinformatics analyses included diversity assessments and differential abundance testing using a robust consensus approach with LEfSe, ALDEx2, and ANCOM-BC to mitigate compositional bias. Representative bacteria from differential genera (Lactobacillus sp. (NC), Enterococcus sp. (AM), and a strain from the Enterobacteriaceae family (CC)) were co-cultured with T-HESCs. Cell viability (CCK-8) and transcriptomic changes (RNA-seq, GO/KEGG analysis) were assessed. Key DEGs were validated via qRT-PCR and ELISA.

resultsSignificant alterations in microbial composition and diversity were observed in CC and AM groups across different sites compared to NC. Our robust differential abundance analysis identified site-specific biomarkers, including Lactobacillaceae enrichment in the NC endometrium and the genus Enterococcus in the AM posterior fornix. RNA-seq revealed distinct transcriptomic reprogramming: CC co-culture altered genes like ADH1B, MYOM1, PTGFR, ACLY, enriching pathways like mismatch repair; AM co-culture affected CEBPB, SERPINE1, S100A1, CKS1B, enriching MAPK signaling and cancer pathways. Validation confirmed these changes at the mRNA and protein levels.

conclusionEndometriosis (CC and AM) is associated with distinct reproductive tract microbiota alterations. Specific bacteria linked to AM and CC impair endometrial stromal cell viability and induce unique transcriptomic changes in vitro, suggesting microbial dysbiosis contributes to endometriosis pathophysiology by affecting endometrial cell function.

Indexed as

AdenomyosisBacteriaDysbiosisEndometriosisMicrobiotaStromal CellsAdultCoculture TechniquesEndometriumFemaleHumansRNA, Ribosomal, 16SRNA, Ribosomal, 16SAdenomyosisEndometriosisOvarian chocolate cystsReproductive tract microbiota

Identifiers

PMID41193989
PMCPMC12590675

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LicenceCC BY-NC-ND
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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.