Evidence map›Paper›PMID 40895484›Full record

ReviewFrontiers in microbiology2025

Exploring vaginal microbiome: from traditional methods to metagenomic next-generation sequencing-a systematic review.

Siying Liu, Yuxin Chen, Kunxiu Zhang, Dan Tang, Ji Zhang, Yuxin Wang, Jiaqi Zhao, Diyan Li, Tao Wang

Abstract readReview
In one paragraph

Review in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. VaginalJournal of clinical medicine · 2026
    Article
  6. Review
  7. Review
  8. Review
  9. Review
  10. Article
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.

Siying Liu *School of Pharmacy, Chengdu University, Chengdu, China.
Yuxin Chen *School of Pharmacy, Chengdu University, Chengdu, China.
Kunxiu Zhang *School of Pharmacy, Chengdu University, Chengdu, China.
Dan Tang *School of Pharmacy, Chengdu University, Chengdu, China.
Ji ZhangSchool of Computer Science, Chengdu University, Chengdu, China.
Yuxin WangSchool of Pharmacy, Chengdu University, Chengdu, China.
Jiaqi ZhaoSchool of Pharmacy, Chengdu University, Chengdu, China.
Diyan LiSchool of Pharmacy, Chengdu University, Chengdu, China.
Tao WangSchool of Basic Medical Sciences, Chengdu University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent research has highlighted the vaginal microbiome as a crucial factor in women's health and fertility. The growing recognition of its significance has intensified the focus on studying the female reproductive tract's microbial ecosystem. While various analytical methods exist for examining the vaginal microbiome, metagenomic next-generation sequencing (mNGS) has emerged as an auspicious approach. This study examines how mNGS technology can be applied to analyze vaginal microbiota. We begin by exploring the relationship between vaginal bacterial communities and women's health, followed by a comparative analysis of metagenomics against other detection methods, highlighting their respective strengths and limitations. The paper systematically reviews different detection techniques, examining their fundamental principles, constraints, and advantages. Several factors can affect data quality, including sampling procedures, contamination issues, and PCR amplification errors. We suggest implementing third-generation sequencing (TGS) to address these challenges to enhance reproducibility and read length, utilizing single-molecule sequencing (SMS) to eliminate PCR amplification-related errors, and integrating multiple analytical approaches to provide comprehensive insights. In summary, mNGS technology allows us to collect valuable information at a lower cost, and it remains a leading method for detecting female reproductive tract microbes. The goal of this review is to describe the principle, benefits and drawbacks, and application areas of mNGS, as well as to serve as a reference for research into female reproductive tract microbial detection methods, promote the improvement of mNGS in the detection of female reproductive tract microbial technology, and ensure the health of the female reproductive tract.

Indexed as

clinical applicationsmNGSpersonalized treatmentvaginal healthvaginal microbiome

Identifiers

PMID40895484
PMCPMC12391137

What OpenQuestion holds

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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.