Evidence map›Paper›PMID 38654335›Full record

SynthesisBMC biology2024

Meta-analysis of the human upper respiratory tract microbiome reveals robust taxonomic associations with health and disease.

Nick Quinn-Bohmann, Jose A Freixas-Coutin, Jin Seo, Ruth Simmons, Christian Diener, Sean M Gibbons

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in BMC biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

8 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. 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 at 4 institutions in 2 countries.

Nick Quinn-BohmannInstitute for Systems Biology, Seattle, WA, 98109, USA. nbohmann@gmail.com.ORCID http://orcid.org/0009-0001-5358-7322
Jose A Freixas-CoutinReckitt Health US LLC, 1 Philips Pkwy, Montvale, NJ, 07645, USA.
Jin SeoReckitt Health US LLC, 1 Philips Pkwy, Montvale, NJ, 07645, USA.
Ruth SimmonsReckitt Benckiser Healthcare Ltd, 105 Bath Road, Slough, Berkshire, SL1 3UH, UK.ORCID http://orcid.org/0000-0002-9303-639X
Christian DienerInstitute for Systems Biology, Seattle, WA, 98109, USA.ORCID http://orcid.org/0000-0002-7476-0868
Sean M GibbonsInstitute for Systems Biology, Seattle, WA, 98109, USA. sgibbons@isbscience.org.ORCID http://orcid.org/0000-0002-8724-7916
Reckitt Benckiser (United States) · USUniversity of Washington · USInstitute for Systems Biology · USReckitt Benckiser (United Kingdom) · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe human upper respiratory tract (URT) microbiome, like the gut microbiome, varies across individuals and between health and disease states. However, study-to-study heterogeneity in reported case-control results has made the identification of consistent and generalizable URT-disease associations difficult.

resultsIn order to address this issue, we assembled 26 independent 16S rRNA gene amplicon sequencing data sets from case-control URT studies, with approximately 2-3 studies per respiratory condition and ten distinct conditions covering common chronic and acute respiratory diseases. We leveraged the healthy control data across studies to investigate URT associations with age, sex, and geographic location, in order to isolate these associations from health and disease states.

conclusionsWe found several robust genus-level associations, across multiple independent studies, with either health or disease status. We identified disease associations specific to a particular respiratory condition and associations general to all conditions. Ultimately, we reveal robust associations between the URT microbiome, health, and disease, which hold across multiple studies and can help guide follow-up work on potential URT microbiome diagnostics and therapeutics.

Indexed as

MicrobiotaRespiratory SystemRNA, Ribosomal, 16SBacteriaCase-Control StudiesFemaleHumansMaleRespiratory Tract DiseasesRNA, Ribosomal, 16S16SCase–controlMeta-analysisMicrobiologyMicrobiomeRespiratory diseaseUpper respiratory tract

Identifiers

PMID38654335
PMCPMC11040984
OpenAlexW4395030331

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.