Evidence map›Paper›PMID 37551852›Full record

ReviewJournal of veterinary internal medicine

The respiratory microbiota and its impact on health and disease in dogs and cats: A One Health perspective.

Aida I Vientós-Plotts, Aaron C Ericsson, Carol R Reinero

Open access · goldAbstract readReview
In one paragraph

Review in Journal of veterinary internal medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Key findings from 15 years ofApplied and environmental microbiology · 2025
    Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
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  10. Article
  11. 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

3 authors at 1 institution in 1 country.

Aida I Vientós-PlottsCollege of Veterinary Medicine, University of Missouri, Columbia, Missouri, USA.ORCID https://orcid.org/0000-0002-8146-0580
Aaron C EricssonCollege of Veterinary Medicine, University of Missouri, Columbia, Missouri, USA.
Carol R ReineroCollege of Veterinary Medicine, University of Missouri, Columbia, Missouri, USA.ORCID https://orcid.org/0000-0002-6382-5582
Missouri College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Healthy lungs were long thought of as sterile, with presence of bacteria identified by culture representing contamination. Recent advances in metagenomics have refuted this belief by detecting rich, diverse, and complex microbial communities in the healthy lower airways of many species, albeit at low concentrations. Although research has only begun to investigate causality and potential mechanisms, alterations in these microbial communities (known as dysbiosis) have been described in association with inflammatory, infectious, and neoplastic respiratory diseases in humans. Similar studies in dogs and cats are scarce. The microbial communities in the respiratory tract are linked to distant microbial communities such as in the gut (ie, the gut-lung axis), allowing interplay of microbes and microbial products in health and disease. This review summarizes considerations for studying local microbial communities, key features of the respiratory microbiota and its role in the gut-lung axis, current understanding of the healthy respiratory microbiota, and examples of dysbiosis in selected respiratory diseases of dogs and cats.

Indexed as

Cat DiseasesDog DiseasesMicrobiotaOne HealthRespiratory Tract DiseasesAnimalsCatsDogsDysbiosisHumansLungasthmalungmicrobiomenasalpneumonia

Identifiers

PMID37551852
PMCPMC10473014
OpenAlexW4385665163

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.