Evidence map›Paper›PMID 41491874›Full record

ArticleScientific reports2026

Characterization and comparative analysis of urinary bacterial microbiome profiling in healthy cats and cats with feline idiopathic cystitis.

Patchaya Thassakorn, Numfa Fungbun, Peerapol Sukon, Patchara Phuektes

Abstract readComparative Study
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Patchaya ThassakornFaculty of Veterinary Medicine, Khon Kaen University, Khon Kaen, 40002, Thailand.
Numfa FungbunDivision of Companion Animal Medicine, Faculty of Veterinary Medicine, Khon Kaen University, Khon Kaen, 40002, Thailand.
Peerapol SukonDivision of Anatomy, Faculty of Veterinary Medicine, Khon Kaen University, Khon Kaen, 40002, Thailand.
Patchara PhuektesDivision of Pathobiology, Faculty of Veterinary Medicine, Khon Kaen University, Khon Kaen, 40002, Thailand. patphu@kku.ac.th.

Funding

Faculty of Veterinary Medicine, Khon Kaen University KKU Vet. Res. VM025/2565
6 · The paper itself

Abstract

Over the past decade, the make up of urinary microbiota and its association with disease has garnered substantial attention. However, the urinary microbiota patterns in healthy cats remain unclear, as do the potential dysbiosis conditions in cats with feline idiopathic cystitis (FIC). We hypothesized that urinary microbiota differ by age and sex in healthy cats, and vary between healthy cats and those with FIC. Using 16S rRNA gene sequencing, we analyzed the urinary microbiota of 25 healthy cats and 15 cats with FIC. Our results indicate that the feline urinary microbiota is primarily composed of Proteobacteria. While no significant differences in bacterial abundance were found between sexes in healthy cats, some taxa showed variations by age. Cats with FIC demonstrated microbiota disruption, characterized by an increase in Firmicutes and Bacilli, along with a decrease in Proteobacteria, particularly a reduction in the Pseudomonas genus, compared to healthy cats. These results demonstrate the presence of a bacterial microbiome in the urine of cats and suggest a potential association between altered microbiota and FIC. Multi-omics approaches could provide further insights into the core urobiome and its role in feline urinary tract disease.

Indexed as

BacteriaCat DiseasesCystitisMicrobiotaAnimalsCatsFemaleMaleRNA, Ribosomal, 16SRNA, Ribosomal, 16SCatDysbiosisFeline idiopathic cystitisUrinary microbiota

Identifiers

PMID41491874
PMCPMC12859084

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.