Evidence map›Paper›PMID 40447596›Full record

ArticleNPJ biofilms and microbiomes2025

Metagenomic analysis reveals the novel role of vaginal Lactobacillus iners in Chinese healthy pregnant women.

Xudong Wang, Qingru Jiang, Xiaohui Tian, Wei Chen, Junrui Mai, Gan Lin, Yingfang Huo, Haiyang Zheng, Dandan Yan, Xiaohong Wang and 4 more

Abstract read
In one paragraph

Article in NPJ biofilms and microbiomes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

14 authors.

Xudong Wang *Shenzhen Key Laboratory of Systems Medicine for Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, Guangdong, China.
Qingru Jiang *Department of Critical Care Medicine, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China.
Xiaohui Tian *Department of Gynecology and Obstetrics, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China.
Wei ChenShenzhen Key Laboratory of Systems Medicine for Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, Guangdong, China.
Junrui MaiShenzhen Key Laboratory of Systems Medicine for Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, Guangdong, China.
Gan LinShenzhen Key Laboratory of Systems Medicine for Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, Guangdong, China.
Yingfang HuoShenzhen Key Laboratory of Systems Medicine for Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, Guangdong, China.
Haiyang ZhengDepartment of Gynecology and Obstetrics, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China.
Dandan YanDepartment of Gynecology and Obstetrics, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China.
Xiaohong WangDepartment of Obstetrics and Gynecology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Tian LiDepartment of Gynecology and Obstetrics, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China. litian27@mail.sysu.edu.cn.
Yu GaoDepartment of Obstetrics and Gynecology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China. gaoy57@mail.sysu.edu.cn.
Xiangyu MouShenzhen Key Laboratory of Systems Medicine for Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, Guangdong, China. mouxy5@mail.sysu.edu.cn.
Wenjing ZhaoShenzhen Key Laboratory of Systems Medicine for Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, Guangdong, China. zhaowj29@mail.sysu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated the relationship between vaginal microbiota and women's health conditions in 95 Chinese pregnant women in their third trimester. We conducted vaginal metagenomic analysis, examining species, functional pathways, and genes, and utilized correlation and LEfSe analyses to link microbiota to health conditions. Results revealed that healthy participants exhibited higher levels of Lactobacillus iners, with its abundance associated with tetrahydrofolate biosynthesis pathways. They also possessed more glycosyltransferase and ErmB antibiotic resistance genes compared to women with diagnosed conditions. Comparative genomics demonstrated that L. iners strains linked to bacterial vaginosis (BV) possessed more genes encoding biofilm-associated YhgE/Pip domain-containing proteins than healthy-associated strains. Notably, three BV-associated L. iners strains exhibited stronger biofilm formation abilities than four healthy-associated strains isolated in this study. Also, four out of seven L. iners strains inhibited the growth of Gardnerella vaginalis. Overall, L. iners may help maintain vaginal ecosystem stability in Chinese pregnant women.

Indexed as

LactobacillusMetagenomicsVaginaAdultBiofilmsChinaFemaleGardnerella vaginalisHumansMicrobiotaPregnancyPregnant PeopleVaginosis, BacterialYoung Adult

Identifiers

PMID40447596
PMCPMC12125259

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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.