Evidence map›Paper›PMID 40210884›Full record

ArticleScientific reports2025

RNA-Seq transcriptome profiling reveals distinct immune response landscapes to identifying inflammation-related diagnostic markers in latent endometrial tuberculosis.

Bai Dai, Jing-Ying Liu, De-Bang Li, Zhi-Ming Wang, Xiu-Juan Chen

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In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Bai Dai *1Reproductive medicine center, the Affiliated Hospital of Inner Mongolia Medical University, Hohhot, P.R. China.
Jing-Ying Liu *1Reproductive medicine center, the Affiliated Hospital of Inner Mongolia Medical University, Hohhot, P.R. China.
De-Bang Li1Reproductive medicine center, the Affiliated Hospital of Inner Mongolia Medical University, Hohhot, P.R. China.
Zhi-Ming Wang1Reproductive medicine center, the Affiliated Hospital of Inner Mongolia Medical University, Hohhot, P.R. China.
Xiu-Juan Chen1Reproductive medicine center, the Affiliated Hospital of Inner Mongolia Medical University, Hohhot, P.R. China. 270486386@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Latent Endometrial Tuberculosis (LETB) is a significant yet under-recognized cause of female infertility, particularly in TB-prevalent regions. Current diagnostic methods for LETB lack specificity, complicating early detection. Through RNA-Seq transcriptome profiling, we aimed to uncover distinct immune response landscapes and identify novel inflammation-related diagnostic markers for LETB. Our study included clinical diagnostics, histological examinations, and transcriptomic analyses comparing differentially expressed genes (DEGs) among control, LETB, and active TB groups. We identified seven candidate genes (IFI30, HCK, SPI1, IL1B, ITGB2, and FCGR2A) uniquely associated with LETB. Bioinformatic analyses revealed these genes' significant roles in immune regulation, including leukocyte activation, cytokine signaling, and myeloid leukocyte-mediated immunity. Gene Set Enrichment Analysis (GSEA) confirmed their involvement in key immune pathways such as cytokine-cytokine receptor interaction and leukocyte transendothelial migration. Validation through qPCR and immunohistochemistry confirmed the differential expression of these biomarkers in LETB tissues. These findings provide new insights into LETB pathogenesis, suggesting potential biomarkers for enhanced early diagnosis and treatment, ultimately aiming to improve reproductive health outcomes for affected women.

Indexed as

InflammationLatent TuberculosisTranscriptomeAdultBiomarkersEndometriumFemaleGene Expression ProfilingHumansRNA-SeqBiomarkersDiagnosisFemale infertilityImmune ResponseInflammatory biomarkersLatent endometrial tuberculosisRNA-SeqTranscriptomic analysis

Identifiers

PMID40210884
PMCPMC11985503

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