Evidence map›Paper›PMID 38441813›Full record

ArticleBiochemical genetics2025

Novel Diagnostic Biomarker BST2 Identified by Integrated Transcriptomics Promotes the Development of Endometriosis via the TNF-α/NF-κB Signaling Pathway.

Li Jiang, Sixue Wang, Xiaomeng Xia, Tingting Zhang, Xi Wang, Fei Zeng, Jiezhi Ma, Xiaoling Fang

Abstract read
PubMed Publisher
In one paragraph

Article in Biochemical genetics, 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
2.7field-weighted citation impact, top 11% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

8 authors at 3 institutions in 1 country.

Li JiangPostdoctoral Research Station of Basic Medicine, The Third Xiangya Hospital, Central South University, Changsha, 410000, People's Republic of China.
Sixue WangDepartment of Obstetrics and Gynecology, Central South University, The Second Xiangya Hospital, Changsha, 410000, People's Republic of China.
Xiaomeng XiaDepartment of Obstetrics and Gynecology, Central South University, The Second Xiangya Hospital, Changsha, 410000, People's Republic of China.
Tingting ZhangDepartment of Obstetrics and Gynecology, Central South University, The Second Xiangya Hospital, Changsha, 410000, People's Republic of China.
Xi WangDepartment of Obstetrics and Gynecology, Central South University, The Second Xiangya Hospital, Changsha, 410000, People's Republic of China.
Fei ZengDepartment of Obstetrics and Gynecology, The Third Xiangya Hospital, Central South University, Changsha, 410000, People's Republic of China.
Jiezhi MaDepartment of Obstetrics and Gynecology, The Third Xiangya Hospital, Central South University, Changsha, 410000, People's Republic of China.
Xiaoling FangDepartment of Obstetrics and Gynecology, Central South University, The Second Xiangya Hospital, Changsha, 410000, People's Republic of China. fxlfxl0510@csu.edu.cn.
Second Xiangya Hospital of Central South University · CNCentral South University · CNThird Xiangya Hospital · CN

Funding

National Natural Science Foundation of China 81671437National Natural Science Foundation of China 81771558National Natural Science Foundation of China 81801425Natural Science Foundation of Changsha City kq2208352Natural Science Foundation of Hunan Province 2023JJ40892
6 · The paper itself

Abstract

Endometriosis (EMS) is a common gynecological condition with apparent heterogeneity, lack of diagnostic markers, and unclear pathogenesis. A series of bioinformatics methods were employed to explore EMS's pathological mechanisms and potential biomarkers by analyzing the combined datasets of EMS (GSE7305, GSE7307, GSE58198, E-MTAB-694), which included 34 normal, 127 eutopic, and 46 ectopic endometrium samples. Then, wet-laboratory experiments (including Western blot, qRT-PCR, and Immunohistochemistry, Immunofluorescence, CCK-8, EdU, Wound healing, Transwell, and Adhesion assays) were applied to examine the biomarkers' expression and function in primary endometrial stromal cells. Bioinformatic analysis indicated that the core pathogenesis of EMS was dysregulated immune-inflammation and tissue remolding processes. Among the upregulated DEGs, BST2 was screened as a potential diagnostic biomarker in EMS, which associated with the revised American Fertility Society (r-AFS) stage and immune-inflammation processes of EMS. Moreover, BST2's overexpression was affirmed in the RNA and protein levels in EMS tissues. In vitro experiments demonstrated that TNF-α promoted the expression of BST2 in ESCs. And BST2 knockdown inhibited migration, invasion, adhesion, and inflammation except for the proliferation of ESCs, probably via the TNF-α/NF-κB pathway. Through a combination of wet and dry studies, we concluded that the core pathogenesis of endometriosis was dysregulated immune-inflammation and tissue remolding, and BST2 might be a potential diagnostic and therapeutic target in endometriosis.

Indexed as

Antigens, CDEndometriosisNF-kappa BSignal TransductionTranscriptomeTumor Necrosis Factor-alphaAdultBiomarkersBone Marrow Stromal Antigen 2EndometriumFemaleGPI-Linked ProteinsHumansAntigens, CDBiomarkersBone Marrow Stromal Antigen 2BST2 protein, humanGPI-Linked ProteinsNF-kappa BTNF protein, humanTumor Necrosis Factor-alphaBST2EndometriosisNF-κBTNF-αTranscriptomics analysis

Identifiers

PMID38441813
OpenAlexW4392458752

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.