Evidence map›Paper›PMID 42260350›Full record

ArticleBMC microbiology2026

Transcriptomic profiling of TSST-1-induced cytotoxicity and inflammatory responses in human vaginal epithelial cells.

Xueling Luo, Yue Yuan, Ke Chen, Changfeng Sun, Hong Yu, Suvash Chandra Ojha

Abstract read
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Article in BMC microbiology, 2026. 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

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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

6 authors.

Xueling Luo *Department of Infectious Diseases, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, China.
Yue Yuan *Laboratory of Infection and Immunity, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, 646000, China.
Ke ChenDepartment of Infectious Diseases, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, China.
Changfeng SunDepartment of Infectious Diseases, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, China. sun_cf88@swmu.edu.cn.
Hong YuPublic Center of Experimental Technology, Southwest Medical University, Luzhou, China. hongyu@swmu.edu.cn.
Suvash Chandra OjhaDepartment of Infectious Diseases, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, China. suvash_ojha@swmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveToxic shock syndrome toxin-1 (TSST-1) is a critical superantigen produced by certain staphylococcal strains, closely associated with menstrual toxic shock syndrome and mucosal inflammation. While the systemic superantigenic function of TSST-1 is well-established, its early cytotoxic and inflammatory effects on human vaginal epithelial cells (HVEC) remain poorly characterized. This study, therefore, sought to investigate the initial temporal dynamics of TSST-1-induced changes in cell viability, inflammatory cytokine responses, epithelial stress-related responses, and barrier-associated transcriptional changes in a human vaginal epithelial cell model, along with transcriptomic analysis.

methodsWe evaluated the impact of recombinant TSST-1 on HVEC at different doses and treatment durations. Subsequent exposure assessments included cell viability, apoptosis, and cell cycle distribution via flow cytometry, alongside inflammatory gene expression and transcriptomic profiling.

resultsTSST-1 reduced cell viability and proliferation in a dose-and time-dependent manner due to increased apoptosis and G1-phase accumulation. Notably, early exposure did not result in a uniform upregulation of all inflammatory mediators; rather, multiple cytokines exhibited dose-dependent segmented response patterns instead of a linear increase. RNA sequencing analysis of samples treated with 125 or 1000 ng/mL TSST-1 for 48 h revealed dose-associated transcriptional changes involving chemokine signaling, cytokine-receptor interactions, epithelial stress-related pathways, and glycolysis-related pathways. Notably the moderate-dose group showed a higher number of statistically defined differentially expressed genes than the high-dose group, suggesting a non-linear dose-associated transcriptional pattern.

conclusionThese findings demonstrate that TSST-1 can trigger cytotoxicity, apoptosis, cell cycle disruption, and a graded inflammatory response in vaginal epithelial cells, providing a systematic transcriptomic framework for understanding the early mucosal responses induced by TSST-1.

Indexed as

Bacterial ToxinsEnterotoxinsEpithelial CellsGene Expression ProfilingSuperantigensVaginaApoptosisCell CycleCell LineCell ProliferationCell SurvivalCytokinesFemaleHumansInflammationTranscriptomeBacterial ToxinsCytokinesenterotoxin F, StaphylococcalEnterotoxinsSuperantigensApoptosisCell-cycleCytotoxicityHuman vaginal epithelial cellsInflammatory factorsRNA-seqTSST-1

Identifiers

PMID42260350
PMCPMC13465123

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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.