Evidence map›Paper›PMID 39040371›Full record

ArticleHeliyon2024

An analysis of the vaginal microbiota and cervicovaginal metabolomics in cervical lesions and cervical carcinoma.

Jie Ou, Yanan Kang, Medlegeh, Kun Fu, Yu Zhang, Wenqing Yang

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
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  10. The Interplay Between Cervicovaginal Microbiota Diversity,Healthcare (Basel, Switzerland) · 2025
    Review
  11. Article
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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.

Jie OuDepartment of Gyneacology, Xiangya Hospital Central South University, Changsha, Hunan, 410008, China.
Yanan KangDepartment of Gyneacology, Xiangya Hospital Central South University, Changsha, Hunan, 410008, China.
MedlegehDepartment of Gyneacology, Xiangya Hospital Central South University, Changsha, Hunan, 410008, China.
Kun FuDepartment of Gyneacology, Xiangya Hospital Central South University, Changsha, Hunan, 410008, China.
Yu ZhangDepartment of Gyneacology, Xiangya Hospital Central South University, Changsha, Hunan, 410008, China.
Wenqing YangDepartment of Gyneacology, Xiangya Hospital Central South University, Changsha, Hunan, 410008, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To explore the role of vaginal microbiota and metabolomics in the progression of cervical dysplasia. Methods: The patient group consists of female patients with low-grade, high-grade cervical dysplasia, and cervical cancer. Normal cervix samples from health volunteers were used as controls. The metabolic fingerprints of cervicovaginal lavage were analyzed using liquid chromatography-mass spectrometry, while the vaginal microbiota was examined through 16S rRNA sequencing. Bioinformatic analysis was adopted to investigate the interplay between hosts and microbes. The vaginal metabolic and microbiota profiles of 90 female patients with cervical dysplasia and 10 controls were analyzed to discover the biological characteristics underlying the progression of cervical cancer. Results: We found that Valyl-Glutamate, N, N'-Diacetylbenzidine, and Oxidized glutathione, which were involved in oxidative stress response, were discriminators to distinguish the normal cervix, invasive cervical carcinomas, and CIN3 from others. Cervical carcinoma was characterized by a large variety of vaginal microbes (dominated by non-Lactobacillus communities) compared to the control. These microbes affected amino acid and nucleotide metabolism, producing metabolites with cervical carcinoma and genital inflammation compared to the control group. Conclusions: This study revealed that cervicovaginal metabolic profiles were determined by cervical cancer, vaginal microbiota, and their interplays. ROS metabolism can be used to discriminate normal cervix, CIN3, and invasive cervical carcinoma.

Indexed as

Cervical carcinomaCervical intraepithelial neoplasiaGenital inflammationMetabolomeMicrobiota

Identifiers

PMID39040371
PMCPMC11260971

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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.