Evidence map›Paper›PMID 35857780›Full record

ArticlePloS one2022

Urinary microRNAome in healthy cats and cats with pyelonephritis or other urological conditions.

Marta Gòdia, Louise Brogaard, Emilio Mármol-Sánchez, Rebecca Langhorn, Ida Nordang Kieler, Bert Jan Reezigt, Lise Nikolic Nielsen, Lisbeth Rem Jessen, Susanna Cirera

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 51% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
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

9 authors at 3 institutions in 3 countries.

Marta GòdiaDepartment of Animal Medicine and Surgery, School of Veterinary Sciences, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Catalonia, Spain.ORCID 0000-0002-0439-4014
Louise BrogaardDepartment of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Frederiksberg, Denmark.
Emilio Mármol-SánchezDepartment of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, Stockholm, Sweden.ORCID 0000-0002-4393-1740
Rebecca LanghornFaculty of Health and Medical Sciences, Department of Veterinary Clinical Sciences, University of Copenhagen, Frederiksberg, Denmark.
Ida Nordang KielerFaculty of Health and Medical Sciences, Department of Veterinary Clinical Sciences, University of Copenhagen, Frederiksberg, Denmark.
Bert Jan ReezigtBlue Star Small Animal Hospital, Gothenburg, Sweden.
Lise Nikolic NielsenFaculty of Health and Medical Sciences, Department of Veterinary Clinical Sciences, University of Copenhagen, Frederiksberg, Denmark.
Lisbeth Rem JessenFaculty of Health and Medical Sciences, Department of Veterinary Clinical Sciences, University of Copenhagen, Frederiksberg, Denmark.
Susanna CireraDepartment of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Frederiksberg, Denmark.ORCID 0000-0001-8105-1579
University of Copenhagen · DKStockholm University · SEUniversitat Autònoma de Barcelona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) are short non-coding RNAs that regulate gene expression at the post-transcriptional level. miRNAs have been found in urine and have shown diagnostic potential in human nephropathies. Here, we aimed to characterize, for the first time, the feline urinary miRNAome and explore the use of urinary miRNA profiles as non-invasive biomarkers for feline pyelonephritis (PN). Thirty-eight cats were included in a prospective case-control study and classified in five groups: healthy Control cats (n = 11), cats with PN (n = 10), cats with subclinical bacteriuria or cystitis (SB/C, n = 5), cats with ureteral obstruction (n = 7) and cats with chronic kidney disease (n = 5). By small RNA sequencing we identified 212 miRNAs in cat urine, including annotated (n = 137) and putative novel (n = 75) miRNAs. The 15 most highly abundant urinary miRNAs accounted for nearly 71% of all detected miRNAs, most of which were previously identified in feline kidney. Ninety-nine differentially abundant (DA) miRNAs were identified when comparing Control cats to cats with urological conditions and 102 DA miRNAs when comparing PN to other urological conditions. Tissue clustering analysis revealed that the majority of urine samples clustered close to kidney, which confirm the likely cellular origin of the secreted urinary miRNAs. Relevant DA miRNAs were verified by quantitative real-time PCR (qPCR). Eighteen miRNAs discriminated Control cats from cats with a urological condition. Of those, seven miRNAs were DA by both RNAseq and qPCR methods between Control and PN cats (miR-125b-5p, miR-27a-3p, miR-21-5p, miR-27b-3p, miR-125a-5p, miR-17-5p and miR-23a-3p) or DA between Control and SB/C cats (miR-125b-5p). Six additional miRNAs (miR-30b-5p, miR-30c, miR-30e-5p, miR-27a-3p, miR-27b-39 and miR-222) relevant for discriminating PN from other urological conditions were identified by qPCR alone (n = 4) or by both methods (n = 2) (P<0.05). This panel of 13 miRNAs has potential as non-invasive urinary biomarkers for diagnostic of PN and other urological conditions in cats.

Indexed as

MicroRNAsPyelonephritisRenal Insufficiency, ChronicAnimalsBiomarkersCase-Control StudiesCatsHumansBiomarkersMicroRNAs

Identifiers

PMID35857780
PMCPMC9299306
OpenAlexW4286008176

What Socratic holds

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LicenceCC BY
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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 Socratic graph.