Evidence map›Paper›PMID 41803943›Full record

ArticleJournal of translational medicine2026

Integrated cross-sectional study and functional validation indicate the association of lactobacillus crispatus-derived D-lactic acid with cervical gene expression and precancerous cervical lesions.

Wenkui Dai, Xin Jiang, Yu Liu, Yingjuan Yu, Jun Hou, Jianguo Xia, Shuai Cheng Li, Changzhong Li, Hui Du, Ruifang Wu

Abstract read
In one paragraph

Article in Journal of translational medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Wenkui Dai *Department of Obstetrics and Gynecology, Peking University Shenzhen Hospital, Shenzhen, China. wenkuidai@pkuszh.com.ORCID 0000-0002-9723-1416
Xin Jiang *Department of Obstetrics and Gynecology, Peking University Shenzhen Hospital, Shenzhen, China.
Yu Liu *Department of Obstetrics and Gynecology, Peking University Shenzhen Hospital, Shenzhen, China.
Yingjuan Yu *Department of Obstetrics and Gynecology, Peking University Shenzhen Hospital, Shenzhen, China.
Jun HouDepartment of Obstetrics and Gynecology, Peking University Shenzhen Hospital, Shenzhen, China.
Jianguo XiaDepartment of Microbiology and Immunology, McGill University, Montreal, QC, Canada.
Shuai Cheng LiDepartment of Computer Science, City University of Hong Kong, Hong Kong, China.
Changzhong LiDepartment of Obstetrics and Gynecology, Peking University Shenzhen Hospital, Shenzhen, China. lichangzhong@pkuszh.com.
Hui DuDepartment of Obstetrics and Gynecology, Peking University Shenzhen Hospital, Shenzhen, China. duhui_107108@163.com.
Ruifang WuDepartment of Obstetrics and Gynecology, Peking University Shenzhen Hospital, Shenzhen, China. wurf100@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHuman papillomavirus (HPV) persistence and progression to high-grade squamous intraepithelial lesions (HSIL) involves complex interactions between the cervicovaginal microbiome, metabolome, and host immune responses. While Lactobacillus crispatus has been associated with the risk of cervical lesion progression, the underlying molecular mechanisms remain poorly understood.

methodsWe conducted a cross-sectional study of 74 HPV-positive Chinese women diagnosed with low-grade SIL (LSIL) or HSIL. Cervicovaginal swabs were analyzed using 16S rRNA sequencing and untargeted LC-MS metabolomics, while cervical exfoliated cells underwent RNA-sequencing. Community state types (CSTs) were determined by hierarchical clustering, and differentially expressed genes were identified across CSTs and SIL grades. Bayesian network analysis was employed to model molecular interactions between CVM compositions, metabolites, host gene expression, and HSIL status. Key findings were validated through in vitro experiments using HPV16-infected cervical epithelial cells (Ect1/E6E7) co-cultured with Lactobacillus supernatants and D-lactic acid.

resultsL. crispatus-dominated communities (CST_I) were significantly enriched in LSIL compared to HSIL patients (16.22% vs 2.70%, p < 0.05). CST_I exhibited 2.2–2.8-fold higher D-lactic acid levels compared to L. iners-dominated (CST_III) and non-Lactobacillus-dominated (CST_IV) communities. Transcriptomic analysis identified 116 DEGs varying across both CSTs and SIL grades, with functional enrichment revealing HSIL-associated genes involved in axonogenesis and pattern specification, while LSIL-associated genes were linked to immune responses. Bayesian network modeling suggested that CST_I-derived D-lactic acid inhibits FOXD1 expression, which directly correlates with HSIL status. In vitro validation confirmed that L. crispatus supernatant and D-lactic acid significantly reduced FOXD1 expression (p < 0.05), decreased HPV16 viral load, and inhibited Ect1/E6E7 cell growth.

conclusionsThis study elucidates a novel protective mechanism whereby L. crispatus-derived D-lactic acid modulates cervical gene expression, particularly through FOXD1 downregulation, conferring negative links to precancerous cervical lesions. These findings provide mechanistic insights into microbiome-mediated cervical cancer prevention and suggest potential therapeutic targets for intervention strategies aimed at reducing HSIL progression.

Indexed as

Cervix UteriLactic AcidLactobacillus crispatusPapillomavirus InfectionsSquamous Intraepithelial Lesions of the CervixAdultCell Line, TumorCoculture TechniquesCross-Sectional StudiesEpithelial CellsFemaleGene Expression ProfilingGene Expression RegulationHuman Papillomavirus VirusesHumansMetabolomicsLactic AcidCervicovaginal microbiomeHost transcriptomeHPVMetabolomeSquamous intraepithelial lesion

Identifiers

PMID41803943
PMCPMC13085617

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LicenceCC BY-NC-ND
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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.