Evidence map›Paper›PMID 40304477›Full record

ArticleMicrobiology spectrum2025

Microbial and metabolic profiles associated with HPV infection and cervical intraepithelial neoplasia: a multi-omics study.

Xiaowen Pu, Xiao Wang, Jingjing Wang, Zhengrong Gu, Haiyan Zhu, Chao Li

Abstract read
In one paragraph

Article in Microbiology spectrum, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 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

6 authors.

Xiaowen Pu *Department of Gynecology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China.
Xiao Wang *Department of Gynecology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China.
Jingjing WangDepartment of Gynecology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China.
Zhengrong GuDepartment of Gynecology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China.
Haiyan ZhuDepartment of Gynecology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China.ORCID 0000-0002-1030-4601
Chao LiShanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Clinical and Translational Research Center, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China.ORCID 0000-0001-9204-4227

Funding

Shanghai Pudong New Area Science and Technology Development Fund Special Project for People's Livelihood Scientific Research PKJ2024-Y10
6 · The paper itself

Abstract

Cervical cancer is the most common malignancy of the female reproductive system, with the incidence of human papillomavirus (HPV) being a crucial factor in its pathogenesis. Emerging evidence indicates that cervicovaginal microbiota may influence HPV persistence and cervical intraepithelial neoplasia (CIN). However, the interplay between cervicovaginal and cervical tissue microbiomes and their association with HPV infection and CIN remains poorly understood. In this cross-sectional study, we analyzed the microbiota profiles of cervicovaginal and cervical tissue via five-region 16S rRNA gene metabarcoding, along with cervicovaginal metabolites, including short-chain fatty acids (SCFAs) and non-targeted metabolomic data, from 94 women. Key species, particularly IMPORTANCE: Cervical cancer is the most prevalent malignancy in the female reproductive system, with human papillomavirus (HPV) persistency being a critical factor in its pathogenesis. This study highlights the significant yet often overlooked role of cervicovaginal secretion and cervical tissue microbiota in influencing HPV infection and the progression of cervical intraepithelial neoplasia (CIN). By employing a multi-omics approach, we elucidated distinct microbiota profiles in cervical tissues compared to cervicovaginal secretions, revealing a complex interplay between specific bacterial species (notably

Indexed as

BacteriaMicrobiotaPapillomavirus InfectionsUterine Cervical DysplasiaUterine Cervical NeoplasmsAdultCervix UteriCross-Sectional StudiesFatty Acids, VolatileFemaleHumansMetabolomeMetabolomicsMiddle AgedMultiomicsPapillomaviridaeFatty Acids, VolatileRNA, Ribosomal, 16Scervical intraepithelial neoplasiaHPVmetabolomemicrobiome

Identifiers

PMID40304477
PMCPMC12131762

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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.