Evidence map›Paper›PMID 41310645›Full record

ArticleBMC women's health2025

Dysbiosis of vaginal and peritoneal fluid microbiota in patients with cervical lesions.

Leilei Zhu, Zizhen Wu, Sensen Shi, Heng Xue, Lan Zhen, Yichen Wang, Jimiao Huang, Shihuang Liu, Huan Yi

Abstract read
In one paragraph

Article in BMC women's health, 2025. 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

9 authors.

Leilei Zhu *Fujian Maternity and Child Health HospitalCollege of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fujian, China.
Zizhen Wu *Fujian Maternity and Child Health HospitalCollege of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fujian, China.
Sensen Shi *Fujian Maternity and Child Health HospitalCollege of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fujian, China.
Heng Xue *Fujian Maternity and Child Health HospitalCollege of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fujian, China.
Lan ZhenFujian Maternity and Child Health HospitalCollege of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fujian, China.
Yichen WangFujian Maternity and Child Health HospitalCollege of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fujian, China.
Jimiao HuangFujian Maternity and Child Health HospitalCollege of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fujian, China.
Shihuang LiuFujian Maternity and Child Health HospitalCollege of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fujian, China.
Huan YiFujian Maternity and Child Health HospitalCollege of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fujian, China. yi.huan@fjmu.edu.cn.

Funding

Fujian Natural Sciences Foundation 2021J05082Joint Funds for the Innovation of Science and Technology, Fujian Province 2021Y9180Joint Funds for the Innovation of Science and Technology, Fujian Province 2023Y9368Startup Fund for scientific research, Fujian Medical University 2021QH1191
6 · The paper itself

Abstract

backgroundThis study aimed to characterize disturbances in vaginal microbiota among patients with squamous intraepithelial lesions (SIL) or cervical cancer (CC), and to identify specific bacterial genera with potential as diagnostic or prognostic biomarkers. We also explored microbiota of peritoneal fluid in CC patients across different pathological subtypes.

methodsA total of 76 participants were enrolled, including 44 SIL and 32 CC patients, further classified into four groups: low-grade SIL (LSIL; n = 14), high-grade SIL (HSIL; n = 30), squamous cell carcinoma (SCC; n = 18) and adenocarcinoma (ADC; n = 14). Vaginal secretions were collected from all participants, and free peritoneal fluid was obtained from 16 SCC and 12 ADC patients. Vaginal HPV status was monitored semiannually over two years in 25 HSIL patients. Microbial composition was analyzed using 16 S rRNA gene sequencing.

resultsVaginal bacterial abundance was significantly higher in the CC group than in the SIL group. A non-significant decrease in Lactobacillus abundance (SIL: 60.89% vs. CC: 52.37%; p = 0.247) and an increase in anaerobic bacteria including Prevotella (SIL: 0.14% vs. CC: 0.79%; p < 0.001) and Sneathia (SIL: 0.21% vs. CC: 1.57%; p = 0.097) were observed in CC patients. Lactobacillus abundance was negatively correlated with these anaerobic genera. Among HSIL patients, those who cleared HPV infection had a significantly higher abundance of Atopobium (5.25% vs. 0.65%; p = 0.022). Furthermore, ADC patients showed significantly higher microbial abundance in both vaginal and peritoneal fluid samples compared to SCC patients. LEfSe analysis indicated that Prevotella was the most distinguishing genus in the ADC group.

conclusionsOur study suggests that vaginal microbiota diversity may be associated with the severity of cervical lesions. Additionally, ADC patients showed heightened microbial diversity in both vaginal and peritoneal fluid microbiota compared to SCC patients.

Indexed as

Ascitic FluidCarcinoma, Squamous CellDysbiosisMicrobiotaUterine Cervical DysplasiaUterine Cervical NeoplasmsVaginaAdenocarcinomaAdultAgedFemaleHumansMiddle AgedPapillomavirus InfectionsPrevotella16S rRNACervical cancerHuman papillomavirusMicrobiota of peritoneal fluidSquamous intraepithelial lesionsVaginal microbiota

Identifiers

PMID41310645
PMCPMC12750944

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.