Evidence map›Paper›PMID 39745207›Full record

ArticleThe veterinary quarterly2025

Metabolomics reveals alterations in gut-derived uremic toxins and tryptophan metabolism in feline chronic kidney disease.

Laurens Van Mulders, Ellen Vanden Broecke, Ellen De Paepe, Femke Mortier, Lynn Vanhaecke, Sylvie Daminet

Abstract read
In one paragraph

Article in The veterinary quarterly, 2025. 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
–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

11 citing papers in PubMed.

  1. Supplementation withThe veterinary quarterly · 2026
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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.

Laurens Van MuldersFaculty of Veterinary Medicine, Department of Translational Physiology, Infectiology and Public Health, Laboratory of Integrative Metabolomics, Ghent University, Merelbeke, Belgium.
Ellen Vanden BroeckeFaculty of Veterinary Medicine, Department of Translational Physiology, Infectiology and Public Health, Laboratory of Integrative Metabolomics, Ghent University, Merelbeke, Belgium.
Ellen De PaepeFaculty of Veterinary Medicine, Department of Translational Physiology, Infectiology and Public Health, Laboratory of Integrative Metabolomics, Ghent University, Merelbeke, Belgium.
Femke MortierFaculty of Veterinary Medicine, Department of Small Animals, Ghent University, Merelbeke, Belgium.
Lynn VanhaeckeFaculty of Veterinary Medicine, Department of Translational Physiology, Infectiology and Public Health, Laboratory of Integrative Metabolomics, Ghent University, Merelbeke, Belgium.
Sylvie DaminetFaculty of Veterinary Medicine, Department of Small Animals, Ghent University, Merelbeke, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic Kidney Disease (CKD) is one of the most common conditions affecting felines, yet the metabolic alterations underlying its pathophysiology remain poorly understood, hindering progress in identifying biomarkers and therapeutic targets. This study aimed to provide a comprehensive view of metabolic changes in feline CKD across conserved biochemical pathways and evaluate their progression throughout the disease continuum. Using a multi-biomatrix high-throughput metabolomics approach, serum and urine samples from CKD-affected cats (

Indexed as

Cat DiseasesMetabolomicsRenal Insufficiency, ChronicTryptophanUremic ToxinsAnimalsCarnitineCase-Control StudiesCatsChromatography, High Pressure LiquidFemaleGastrointestinal MicrobiomeIndicanMaleCarnitineIndicanTryptophanUremic Toxinsbiochemical pathway analysisFeline chronic kidney diseasefundamental nephrologygut microbiota derived uremic toxinsmetabolomicspathophysiology

Identifiers

PMID39745207
PMCPMC11703532

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.