Evidence map›Paper›PMID 39160615›Full record

ArticleMicrobiome2024

Defining Vaginal Community Dynamics: daily microbiome transitions, the role of menstruation, bacteriophages, and bacterial genes.

Luisa W Hugerth, Maria Christine Krog, Kilian Vomstein, Juan Du, Zahra Bashir, Vilde Kaldhusdal, Emma Fransson, Lars Engstrand, Henriette Svarre Nielsen, Ina Schuppe-Koistinen

Abstract read
In one paragraph

Article in Microbiome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Microbiology spectrum · 2025
    Trial
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  4. Article
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  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
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  12. Bacteriocins fromFrontiers in microbiology · 2026
    Review
  13. Article
  14. Review
  15. mSystems · 2025
    Article
  16. Article
  17. Review
  18. Review
  19. Bacteriophage-mediated reduction of uropathogenicbioRxiv : the preprint server for biology · 2025
    Article
  20. 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

10 authors.

Luisa W Hugerth *Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, Husargatan 3, 75237, Uppsala, Sweden.
Maria Christine Krog *The Recurrent Pregnancy Loss Unit, The Capital Region, Copenhagen University Hospitals, Rigshospitalet and Hvidovre Hospital, Blegdamsvej 9, 2100 Copenhagen and Kettegård Alle 30, 2650, Hvidovre, Denmark.
Kilian VomsteinThe Recurrent Pregnancy Loss Unit, The Capital Region, Copenhagen University Hospitals, Rigshospitalet and Hvidovre Hospital, Blegdamsvej 9, 2100 Copenhagen and Kettegård Alle 30, 2650, Hvidovre, Denmark.
Juan DuDepartment of Microbiology, Tumor and Cell Biology (MTC), Centre for Translational Microbiome Research, Karolinska Institutet, Nobels Väg 6, 17177, Stockholm, Sweden.
Zahra BashirThe Recurrent Pregnancy Loss Unit, The Capital Region, Copenhagen University Hospitals, Rigshospitalet and Hvidovre Hospital, Blegdamsvej 9, 2100 Copenhagen and Kettegård Alle 30, 2650, Hvidovre, Denmark.
Vilde KaldhusdalDepartment of Medicine Solna, Division of Infectious Diseases, Karolinska Institutet, Department of Infectious Diseases, Karolinska University Hospital, Center for Molecular Medicine, Stockholm, Sweden.
Emma FranssonDepartment of Microbiology, Tumor and Cell Biology (MTC), Centre for Translational Microbiome Research, Karolinska Institutet, Nobels Väg 6, 17177, Stockholm, Sweden.
Lars EngstrandDepartment of Microbiology, Tumor and Cell Biology (MTC), Centre for Translational Microbiome Research, Karolinska Institutet, Nobels Väg 6, 17177, Stockholm, Sweden.
Henriette Svarre Nielsen *The Recurrent Pregnancy Loss Unit, The Capital Region, Copenhagen University Hospitals, Rigshospitalet and Hvidovre Hospital, Blegdamsvej 9, 2100 Copenhagen and Kettegård Alle 30, 2650, Hvidovre, Denmark. henriette.svarre.nielsen@regionh.dk.
Ina Schuppe-Koistinen *Department of Microbiology, Tumor and Cell Biology (MTC), Centre for Translational Microbiome Research, Karolinska Institutet, Nobels Väg 6, 17177, Stockholm, Sweden.

Funding

Rigshospitalet E-22614-01, E-22614-02Science for Life Laboratory KAW 2020.0239Vetenskapsrådet 2021-01683
6 · The paper itself

Abstract

backgroundThe composition of the vaginal microbiota during the menstrual cycle is dynamic, with some women remaining eu- or dysbiotic and others transitioning between these states. What defines these dynamics, and whether these differences are microbiome-intrinsic or mostly driven by the host is unknown. To address this, we characterized 49 healthy, young women by metagenomic sequencing of daily vaginal swabs during a menstrual cycle. We classified the dynamics of the vaginal microbiome and assessed the impact of host behavior as well as microbiome differences at the species, strain, gene, and phage levels.

resultsBased on the daily shifts in community state types (CSTs) during a menstrual cycle, the vaginal microbiome was classified into four Vaginal Community Dynamics (VCDs) and reported in a classification tool, named VALODY: constant eubiotic, constant dysbiotic, menses-related, and unstable dysbiotic. The abundance of bacteria, phages, and bacterial gene content was compared between the four VCDs. Women with different VCDs showed significant differences in relative phage abundance and bacterial composition even when assigned to the same CST. Women with unstable VCDs had higher phage counts and were more likely dominated by L. iners. Their Gardnerella spp. strains were also more likely to harbor bacteriocin-coding genes.

conclusionsThe VCDs present a novel time series classification that highlights the complexity of varying degrees of vaginal dysbiosis. Knowing the differences in phage gene abundances and the genomic strains present allows a deeper understanding of the initiation and maintenance of permanent dysbiosis. Applying the VCDs to further characterize the different types of microbiome dynamics qualifies the investigation of disease and enables comparisons at individual and population levels. Based on our data, to be able to classify a dysbiotic sample into the accurate VCD, clinicians would need two to three mid-cycle samples and two samples during menses. In the future, it will be important to address whether transient VCDs pose a similar risk profile to persistent dysbiosis with similar clinical outcomes. This framework may aid interdisciplinary translational teams in deciphering the role of the vaginal microbiome in women's health and reproduction. Video Abstract.

Indexed as

BacteriaBacteriophagesDysbiosisMenstrual CycleMenstruationMicrobiotaVaginaAdultFemaleGenes, BacterialHumansMetagenomicsYoung AdultDaily variationsDysbiosisMenstrual cycleReproductive healthVaginal microbiome

Identifiers

PMID39160615
PMCPMC11331738

What OpenQuestion holds

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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.