Evidence map›Paper›PMID 41839898›Full record

ArticleNPJ biofilms and microbiomes2026

A microbiota-host axis mediates prostaglandin sensitivity: Lactobacillus crispatus as a biomarker and regulator of human labor induction.

Zizhuo Wang, Weidong Tan, Zhenzhen He, Liangnan Zhang, Yilin Fu, Nary Long, Phannaroat Sourn, Weikun Li, Junjie Yuan, Yuxin Chen and 6 more

Abstract read
In one paragraph

Article in NPJ biofilms and microbiomes, 2026. 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. 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

16 authors.

Zizhuo Wang *National Clinical Research Center for Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Weidong Tan *National Clinical Research Center for Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Zhenzhen HeNational Clinical Research Center for Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Liangnan ZhangNational Clinical Research Center for Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yilin FuNational Clinical Research Center for Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Nary LongNational Clinical Research Center for Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Phannaroat SournNational Clinical Research Center for Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Weikun LiNational Clinical Research Center for Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Junjie YuanNational Clinical Research Center for Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yuxin ChenNational Clinical Research Center for Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Huihui YuNational Clinical Research Center for Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Wanjiang ZengNational Clinical Research Center for Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Ling FengNational Clinical Research Center for Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Jianli WuNational Clinical Research Center for Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. Jianliwu_tj@163.com.
Shaoshuai WangNational Clinical Research Center for Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. colombo2008@sina.com.
Wencheng DingNational Clinical Research Center for Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. dingwencheng326@163.com.

Funding

National Key Research and Development Program of China 2022YFC2704402National Natural Science Foundation of China 82403347
6 · The paper itself

Abstract

Labor induction failure increases the risk of unplanned cesarean delivery and maternal-neonatal complications. However, the determinants of induction sensitivity remain poorly understood. In this prospective cohort of 85 term pregnant women undergoing labor induction with Propess® (prostaglandin E2), we combined full-length 16S rRNA sequencing of the vaginal microbiota, untargeted metabolomics of vaginal secretions, and transcriptomic analysis of cervical stromal cells exposed to Lactobacillus crispatus supernatant to identify predictive factors and underlying mechanisms. We found that women with a poor induction response exhibited higher vaginal microbiota α-diversity and a significant reduction in L. crispatus abundance. The relative abundance of L. crispatus predicted induction success with an area under the curve (AUC) of 0.80 (95% CI: 0.70-0.90). Metabolomic analysis revealed distinct vaginal metabolic alterations in induction-insensitive women. Importantly, in vitro experiments showed that L. crispatus supernatant directly modulates the transcriptome of cervical stromal cells, upregulating genes involved in uterine contraction, tissue remodeling, and immune regulation. Our results identify vaginal L. crispatus as a key biomarker for labor induction sensitivity and elucidate a potential mechanism by which it primes the cervix for prostaglandin response. These findings provide a novel microbiota-host interaction framework for personalizing induction strategies in precision obstetrics.

Indexed as

DinoprostoneHost Microbial InteractionsLabor, InducedLactobacillus crispatusMicrobiotaProstaglandinsVaginaAdultBiomarkersCervix UteriFemaleGene Expression ProfilingHumansMetabolomicsPregnancyProspective StudiesBiomarkersDinoprostoneProstaglandinsRNA, Ribosomal, 16S

Identifiers

PMID41839898
PMCPMC13139389

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.