Evidence map›Paper›PMID 35232471›Full record

ArticleGenome biology2022

Insight into the ecology of vaginal bacteria through integrative analyses of metagenomic and metatranscriptomic data.

Michael T France, Li Fu, Lindsay Rutt, Hongqiu Yang, Michael S Humphrys, Shilpa Narina, Pawel M Gajer, Bing Ma, Larry J Forney, Jacques Ravel

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 4 pooled it
14.2field-weighted citation impact, top 1% of its field
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

68 citing papers in PubMed, 4 syntheses or guidelines pooled it, 103 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Cervicovaginal Microbiota Composition inInternational journal of molecular sciences · 2022
    Pooled it
  4. Pooled it
  5. Trial
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. mBio · 2026
    Article
  12. Article
  13. The VaginalMicroorganisms · 2026
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

8 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 1 country.

Michael T FranceInstitute for Genome Sciences and Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD, USA.
Li FuInstitute for Genome Sciences and Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD, USA.
Lindsay RuttInstitute for Genome Sciences and Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD, USA.
Hongqiu YangInstitute for Genome Sciences and Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD, USA.
Michael S HumphrysInstitute for Genome Sciences and Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD, USA.
Shilpa NarinaInstitute for Genome Sciences and Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD, USA.
Pawel M GajerInstitute for Genome Sciences and Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD, USA.
Bing MaInstitute for Genome Sciences and Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD, USA.
Larry J ForneyDepartment of Biological Sciences and Institute for Bioinformatics and Evolutionary Studies, University of Idaho, Moscow, ID, USA.
Jacques RavelInstitute for Genome Sciences and Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD, USA. jravel@som.umaryland.edu.ORCID 0000-0002-0851-2233
University of Maryland, Baltimore · USUniversity of Idaho · US

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

backgroundVaginal bacterial communities dominated by Lactobacillus species are associated with a reduced risk of various adverse health outcomes. However, somewhat unexpectedly, many healthy women have microbiota that are not dominated by lactobacilli. To determine the factors that drive vaginal community composition we characterized the genetic composition and transcriptional activities of vaginal microbiota in healthy women.

resultsWe demonstrate that the abundance of a species is not always indicative of its transcriptional activity and that impending changes in community composition can be predicted from metatranscriptomic data. Functional comparisons highlight differences in the metabolic activities of these communities, notably in their degradation of host produced mucin but not glycogen. Degradation of mucin by communities not dominated by Lactobacillus may play a role in their association with adverse health outcomes. Finally, we show that the transcriptional activities of L. crispatus, L. iners, and Gardnerella vaginalis vary with the taxonomic composition of the communities in which they reside. Notably, L. iners and G. vaginalis both demonstrate lower expression of their cholesterol-dependent cytolysins when co-resident with Lactobacillus spp. and higher expression when co-resident with other facultative and obligate anaerobes. The pathogenic potential of these species may depend on the communities in which they reside and thus could be modulated by interventional strategies.

conclusionsOur results provide insight to the functional ecology of the vaginal microbiota, demonstrate the diagnostic potential of metatranscriptomic data, and reveal strategies for the management of these ecosystems.

Indexed as

MicrobiotaVaginaBacteriaFemaleHumansLactobacillusMucinsRNA, Ribosomal, 16SMucinsRNA, Ribosomal, 16SHost-microbe interactionsMetagenomeMetatranscriptomeMicrobial ecologyVaginal microbiome

Identifiers

PMID35232471
PMCPMC8886902
OpenAlexW4221009274

What OpenQuestion holds

Textmetadata
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.