Evidence map›Paper›PMID 42566284›Full record

ReviewEuropean journal of microbiology & immunology2026

Alterations in the feline oral microbiome in common oral diseases - A comprehensive review.

Ádám Attila Oláh, Zoltán Dudás-Györki, Ildiko Rita Dunay, Miklós Pál Dunay

Abstract readReview
In one paragraph

Review in European journal of microbiology & immunology, 2026. 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.

No citing paper in PubMed yet.

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

4 authors.

Ádám Attila Oláh1Department of Surgery, University of Veterinary Medicine, Budapest, Hungary.
Zoltán Dudás-Györki2Department of Internal Medicine, University of Veterinary Medicine, Budapest, Hungary.ORCID https://orcid.org/0009-0007-5485-6882
Ildiko Rita Dunay3Medical Faculty, Institute of Inflammation and Neurodegeneration, Otto von Guericke University, Magdeburg, Germany.
Miklós Pál Dunay1Department of Surgery, University of Veterinary Medicine, Budapest, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The most prevalent diagnostic conditions in domestic cats (Felis catus) are oral diseases, affecting up to 90% of older cats. Periodontal disease (PD), feline chronic gingivostomatitis (FCGS), and tooth resorption (TR) are the principal clinically relevant entities, each with distinct histopathological and microbiological features. Certain molecular techniques, including 16S rRNA sequencing, shotgun metagenomics, and metatranscriptomics, have substantially advanced our understanding of the feline oral microbiome alterations. This review summarizes the findings of the healthy oral microbiome and its disease-associated shifts in PD, FCGS, TR, and feline immunodeficiency virus (FIV)-associated pathology. The healthy oral cavity is dominated by Proteobacteria, Bacteroidota, Bacillota, Fusobacteria, and Actinobacteria, notably Porphyromonas, Moraxella, Capnocytophaga, and Fusobacterium. Dental disease is characterised by expansion of Bacteroidota and Spirochaetota, enrichment of Treponema, Peptostreptococcus, Filifactor, and Fusobacterium nucleatum, and depletion of commensals. The contributions of fungi, viruses, and host immunity are critically evaluated, alongside the development of microbiome-based diagnostics and therapeutics. We argue that dysbiosis is a unifying (albeit not monocausal) feature of feline oral pathology and identify gaps in current knowledge that require further investigation.

Indexed as

16S rRNA sequencingdysbiosisfeline calicivirusfeline chronic gingivostomatitisfeline oral microbiomemycobiomeperiodontal diseasepolymicrobial synergytooth resorption

Identifiers

PMID42566284
PMCPMC13617348

What OpenQuestion holds

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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.