Abstract

Evaluation of the metabolome could discover novel biomarkers of disease. To date, characterization of the serum metabolome of client-owned cats with chronic kidney disease (CKD), which shares numerous pathophysiological similarities to human CKD, has not been reported. CKD is a leading cause of feline morbidity and mortality, which can be lessened with early detection and appropriate treatment. Consequently, there is an urgent need for early-CKD biomarkers. The goal of this cross-sectional, prospective study was to characterize the global, non-targeted serum metabolome of cats with early versus late-stage CKD compared to healthy cats. Analysis revealed distinct separation of the serum metabolome between healthy cats, early-stage and late-stage CKD. Differentially abundant lipid and amino acid metabolites were the primary contributors to these differences and included metabolites central to the metabolism of fatty acids, essential amino acids and uremic toxins. Correlation of multiple lipid and amino acid metabolites with clinical metadata important to CKD monitoring and patient treatment (e.g. creatinine, muscle condition score) further illustrates the relevance of exploring these metabolite classes further for their capacity to serve as biomarkers of early CKD detection in both feline and human populations.

Details

Title
Untargeted metabolomic profiling of serum from client-owned cats with early and late-stage chronic kidney disease
Author
Nealon, Nora Jean 1 ; Summers, Stacie 2 ; Quimby, Jessica 1 ; Winston, Jenessa A. 1 

 The Ohio State University, Department of Veterinary Clinical Sciences, College of Veterinary Medicine, Columbus, USA (GRID:grid.261331.4) (ISNI:0000 0001 2285 7943) 
 Oregon State University, Department of Clinical Sciences, Carlson College of Veterinary Medicine, Corvallis, USA (GRID:grid.4391.f) (ISNI:0000 0001 2112 1969) 
Pages
4755
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2932319815
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.