Evidence map›Paper›PMID 39967801›Full record

ArticleFrontiers in cellular and infection microbiology2024

Diverse vaginal microbiota in healthy Japanese women: a combined relative and quantitative analyses.

Masahiro Ito, Misaki Kataoka, Yoichi Sato, Hideki Nachi, Koji Nomoto, Nobuhiko Okada

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Induction of Human β-Defensin-2 by VaginalOpen forum infectious diseases · 2026
    Article
  2. 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

6 authors.

Masahiro ItoLaboratory of Microbiology, School of Pharmacy, Kitasato University, Tokyo, Japan.
Misaki KataokaLaboratory of Microbiology, School of Pharmacy, Kitasato University, Tokyo, Japan.
Yoichi SatoDaikanyama Women's Clinic, Tokyo, Japan.
Hideki NachiHMS Women's Health Research and Development Center, Hanamisui Co., Ltd., Tokyo, Japan.
Koji NomotoHMS Women's Health Research and Development Center, Hanamisui Co., Ltd., Tokyo, Japan.
Nobuhiko OkadaLaboratory of Microbiology, School of Pharmacy, Kitasato University, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This cross-sectional study aimed to characterize the viable vaginal microbiota and identify host factors influencing this microbiota by employing a combination of relative and quantitative analyses. Methods: Twenty-four vaginal fluid samples were collected from healthy adult Japanese women for analysis. Vaginal fluid pH was measured using a portable pH meter. DNA was extracted from the vaginal fluid, and the 16S ribosomal RNA gene sequences in the V3-V4 regions were analyzed to identify bacterial species. Additionally, the vaginal fluid was cultured on four types of selective agar plates. The predominant species in the growing colonies were identified using colony polymerase chain reaction, and the colonies were counted. Results: The vaginal microbiota was classified into four categories based on the characterization of the dominant bacterial population: Conclusions: Our findings indicate that the vaginal microbiome of healthy Japanese women is not only highly diverse but also affected by host factors such as BMI and age.

Indexed as

BacteriaMicrobiotaVaginaAdultBody Mass IndexCross-Sectional StudiesDNA, BacterialDNA, RibosomalEast Asian PeopleFemaleHealthy VolunteersHumansHydrogen-Ion ConcentrationJapanLactobacillusMiddle AgedDNA, BacterialDNA, RibosomalRNA, Ribosomal, 16SageBMIJapanese womenlactobacillusrelative bacterial abundancevaginal microbiotavaginal pHviable bacterial counts

Identifiers

PMID39967801
PMCPMC11832463

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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.