Evidence map›Paper›PMID 41632706›Full record

ArticlePLoS biology2026

Resource landscape shapes the composition and stability of the human vaginal microbiota.

Tsukushi Kamiya, Mircea T Sofonea, Michael France, Nicolas Tessandier, Ignacio G Bravo, Carmen Lia Murall, Jacques Ravel, Samuel Alizon

Abstract read
In one paragraph

Article in PLoS biology, 2026. 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. Article
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Tsukushi KamiyaCenter for Interdisciplinary Research in Biology, Collège de France, CNRS, INSERM, Université PSL, Paris, France.
Mircea T SofoneaPCCEI, Univ Montpellier, INSERM, Univ Antilles, Montpellier, France.
Michael FranceInstitute for Genome Sciences, Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, Maryland, United States of America.
Nicolas TessandierMIVEGEC, CNRS, IRD, Université de Montpellier, Montpellier, France.
Ignacio G BravoMIVEGEC, CNRS, IRD, Université de Montpellier, Montpellier, France.
Carmen Lia MurallMIVEGEC, CNRS, IRD, Université de Montpellier, Montpellier, France.
Jacques RavelInstitute for Genome Sciences, Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, Maryland, United States of America.
Samuel AlizonCenter for Interdisciplinary Research in Biology, Collège de France, CNRS, INSERM, Université PSL, Paris, France.ORCID https://orcid.org/0000-0002-0779-9543

Funding

Elucidating causes of vaginal symptoms using a multi-omics approach - Admin. SupplementR01NR015495 · NINR · UNIVERSITY OF MARYLAND BALTIMORE · PI FORNEY, LARRY J, RAVEL, JACQUES · 2016 to 2020
$2.6M
The Microbial Ecology of Bacterial Vaginosis: A Fine Scale Resolution MetagenomicUH2AI083264 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI RAVEL, JACQUES · 2009 to 2011
$1.9M
NIAID NIH HHS UH2 AI083264NINR NIH HHS R01 NR015495
6 · The paper itself

Abstract

The vaginal microbiota is associated with the health of women and newborns alike. Despite its comparatively simple composition relative to other human microbiota systems, the mechanisms underpinning the dynamics and stability of vaginal microbial communities remain elusive. A crucial, yet so far underexplored, aspect of vaginal microbiota ecology is the role played by nutritional resources. Glycogen and its derivatives, produced by vaginal epithelia, are accessible to all bacterial constituents of the microbiota. Concurrently, free sialic acid and fucose offer supplementary nutritional resources to bacterial strains capable of cleaving them from glycans, which are structurally integral to mucus. Notably, bacteria adept at sialic acid exploitation are often correlated with adverse clinical outcomes and are frequently implicated in bacterial vaginosis (BV). In this study, we introduce a novel mathematical model tailored to human vaginal microbiota dynamics to explore the interactions between bacteria and their respective nutritional landscape. Our resource-based model examines the impact of the relative availability of glycogen derivatives (accessible to all bacterial species) and sialic acid (exclusive to some BV-associated bacteria) on the composition of the vaginal microbiota. Our findings elucidate that the success of BV-associated bacteria is intricately linked to their exclusive access to specific nutritional resources. This private access fortifies communities dominated by BV-associated bacteria, rendering them resilient to compositional transitions. We empirically corroborate our model prediction with longitudinal clinical data on microbiota composition and previously unpublished metabolomic profiles obtained from a North American cohort. The insights gleaned from this study shed light on potential pathways for BV prevention and treatment.

Indexed as

MicrobiotaVaginaBacteriaFemaleFucoseGlycogenHumansN-Acetylneuraminic AcidVaginosis, BacterialFucoseGlycogenN-Acetylneuraminic Acid

Identifiers

PMID41632706
PMCPMC12867229

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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.