Evidence map›Paper›PMID 36993583›Full record

ArticlebioRxiv : the preprint server for biology2023

High-resolution functional description of vaginal microbiomes in health and disease.

Johanna B Holm, Michael T France, Pawel Gajer, Bing Ma, Rebecca M Brotman, Michelle Shardell, Larry Forney, Jacques Ravel

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Johanna B HolmInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA.
Michael T FranceInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA.
Pawel GajerInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA.
Bing MaInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA.
Rebecca M BrotmanInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA.
Michelle ShardellInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA.
Larry ForneyDepartment of Biological Sciences, University of Idaho, Moscow, ID.
Jacques RavelInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA.
University of Maryland, Baltimore · USUniversity of Idaho · US

Funding

Serologic Biomarkers of Human Sexually Transmitted Infection and DiseaseU19AI084044 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI RAVEL, JACQUES · 2009 to 2018
$22.8M
Longitudinal Study of the Vaginal Microbiome Prior To Incident STIR01AI116799 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI BROTMAN, REBECCA M. · 2015 to 2019
$3.5M
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
Integrating multi-omics data: Modeling biomarkers and mechanisms to reduce bacterial vaginosis recurrenceK01AI163413 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI HOLM, JOHANNA B. · 2021 to 2025
$464k
Host-Microbe Interactions and Incident InfectionF32AI136400 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI HOLM, JOHANNA B. · 2018 to 2020
$192k
NIAID NIH HHS F32 AI136400NIAID NIH HHS K01 AI163413NIAID NIH HHS R01 AI116799NIAID NIH HHS U19 AI084044NIAID NIH HHS UH2 AI083264NINR NIH HHS R01 NR015495
6 · The paper itself

Abstract

Background: A Results: MgCSTs are categories of microbiomes classified using taxonomy and the functional potential encoded in their metagenomes. MgCSTs reflect unique combinations of metagenomic subspecies (mgSs), which are assemblages of bacterial strains of the same species, within a microbiome. We demonstrate that mgCSTs are associated with demographics such as age and race, as well as vaginal pH and Gram stain assessment of vaginal smears. Importantly, these associations varied between mgCSTs predominated by the same bacterial species. A subset of mgCSTs, including three of the six predominated by Conclusions: MgCSTs are a novel and easily implemented approach to reducing the dimension of complex metagenomic datasets, while maintaining their functional uniqueness. MgCSTs enable investigation of multiple strains of the same species and the functional diversity in that species. Future investigations of functional diversity may be key to unraveling the pathways by which the vaginal microbiome modulates protection to the genital tract. Importantly, our findings support the hypothesis that functional differences between vaginal microbiomes, including those that may look compositionally similar, are critical considerations in vaginal health. Ultimately, mgCSTs may lead to novel hypotheses concerning the role of the vaginal microbiome in promoting health and disease, and identify targets for novel prognostic, diagnostic, and therapeutic strategies to improve women's genital health.

Indexed as

bacterial vaginosisgenital healthmetagenomesequencingvaginal microbiome

Identifiers

PMID36993583
PMCPMC10055360
OpenAlexW4360950942

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.