Evidence map›Paper›PMID 37974192›Full record

ArticleJournal of translational medicine2023

Characteristics of vaginal microbiota in various cervical intraepithelial neoplasia: a cross-sectional study.

Yiran Liu, Shuzhen Wang, Jun Liu, Mingrui Su, Xiaoli Diao, Xiaolong Liang, Jianxin Zhang, Qiuxi Wang, Yuxin Zhan

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 pooled it
5.6field-weighted citation impact, top 3% of its field
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

21 citing papers in PubMed, 3 syntheses or guidelines pooled it, 26 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Yiran LiuDepartment of Obstetrics and Gynecology, Beijing Chaoyang Hospital Affiliated With Capital Medical University, 8 Gongti South Road, Chaoyang District, Beijing, 100020, China.
Shuzhen WangDepartment of Obstetrics and Gynecology, Beijing Chaoyang Hospital Affiliated With Capital Medical University, 8 Gongti South Road, Chaoyang District, Beijing, 100020, China. darrywang2003@163.com.ORCID 0009-0009-4708-1227
Jun LiuDepartment of Obstetrics and Gynecology, Beijing Chaoyang Hospital Affiliated With Capital Medical University, 8 Gongti South Road, Chaoyang District, Beijing, 100020, China. liujun1715@163.com.
Mingrui SuDepartment of Obstetrics and Gynecology, Beijing Chaoyang Hospital Affiliated With Capital Medical University, 8 Gongti South Road, Chaoyang District, Beijing, 100020, China.
Xiaoli DiaoDepartment of Pathology, Beijing Chaoyang Hospital Affiliated With Capital Medical University, 8 Gongti South Road, Chaoyang District, Beijing, 100020, China.
Xiaolong LiangDepartment of Pathology, Beijing Chaoyang Hospital Affiliated With Capital Medical University, 8 Gongti South Road, Chaoyang District, Beijing, 100020, China.
Jianxin ZhangDepartment of Obstetrics and Gynecology, Beijing Chaoyang Hospital Affiliated With Capital Medical University, 8 Gongti South Road, Chaoyang District, Beijing, 100020, China.
Qiuxi WangDepartment of Obstetrics and Gynecology, Beijing Chaoyang Hospital Affiliated With Capital Medical University, 8 Gongti South Road, Chaoyang District, Beijing, 100020, China.
Yuxin ZhanDepartment of Obstetrics and Gynecology, Beijing Chaoyang Hospital Affiliated With Capital Medical University, 8 Gongti South Road, Chaoyang District, Beijing, 100020, China.
Capital Medical University · CN

Funding

Beijing Municipal Administration of Hospitals ZYLX201713
6 · The paper itself

Abstract

backgroundPrecancerous lesions of cervical cancer exhibit characteristics indicative of natural progression. To prevent overtreatment of patients whose cervical intraepithelial neoplasia (CIN) in regression and to predict the onset of invasive cervical cancer at an early stage, we've identified the vaginal microbiome as a potential key factor, which is associated with both HPV infection and the various cervical intraepithelial neoplasia. This study aims to investigate the microbiome characteristics of patients with various cervical intraepithelial neoplasia.

methodsUtilizing high-throughput 16S ribosomal RNA (16S rRNA) sequencing technology, a description of the characteristics and community composition of Vaginal Microbiota (VMB) was conducted among 692 Chinese women infected with the High-risk Human Papillomavirus (HR-HPV).

resultsAs the grade of the lesions increased, the proportions of Lactobacillus and Pseudomonas demonstrated a significant declining trend, while the proportions of Gardnerella, Dialister, and Prevotella significantly increased. The diversity of the VMB was more significant in high-grade CIN. Furthermore, KEGG pathway enrichment analysis indicates that high-grade cervical intraepithelial neoplasia can inhibit various pathways, including those of phosphotransferase system, transcription factors, Fructose and mannose metabolism, amino sugar and nucleotide sugar metabolism, and galactose metabolism, which may contribute to the development of early cervical cancer symptoms.

conclusionPatients with CIN exhibit a distinct vaginal microbial profile characterized by a decrease in Lactobacillus and Pseudomonas, and an increase in Gardnerella, Prevotella, and Dialister. The proliferation and diminution of these two types of microbial communities are interrelated, suggesting a mutual restraint and balance among them. Disruption of this regulatory balance could potentially lead to the onset of cervical lesions and carcinogenesis. Retrospectively registered: This study was approved by the Ethics Committee of the Beijing Chaoyang Hospital affiliated with the Capital Medical University (NO.2023-S-415).

Indexed as

MicrobiotaUterine Cervical DysplasiaUterine Cervical NeoplasmsCross-Sectional StudiesFemaleHumansLactobacillusRNA, Ribosomal, 16SRNA, Ribosomal, 16SCervical Cancer (CC)Cervical Intraepithelial Neoplasia (CIN)Human papillomavirus (HPV)Vaginal Microbiota (VMB)

Identifiers

PMID37974192
PMCPMC10652498
OpenAlexW4388727782

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.