Peer-reviewed veterinary case report
Serum metabolite changes in dogs with liver disease
By Imbery, Carolin A et al.·Published in Scientific reports·2022·Vetsuisse Faculty·View original on PubMed →
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Original publication title: Metabolomic serum abnormalities in dogs with hepatopathies.
- Species:
- dog
Plain-English summary
A group of dogs with liver problems, including congenital portosystemic shunts (cPSS) and high liver enzyme levels, had their blood analyzed to look for specific changes in their metabolism. The study found that dogs with cPSS had higher levels of certain amino acids and altered fatty acids compared to healthy dogs, while those with high liver enzyme levels showed different metabolic patterns. These findings suggest that analyzing blood metabolites could help veterinarians better understand and diagnose liver diseases in dogs.
People also search for: dog liver disease symptoms · congenital portosystemic shunt treatment · high liver enzymes in dogs
Abstract
Hepatopathies can cause major metabolic abnormalities in humans and animals. This study examined differences in serum metabolomic parameters and patterns in left-over serum samples from dogs with either congenital portosystemic shunts (cPSS, n = 24) or high serum liver enzyme activities (HLEA, n = 25) compared to control dogs (n = 64). A validated targeted proton nuclear magnetic resonance spectroscopy platform was used to assess 123 parameters. Principal component analysis of the serum metabolome demonstrated distinct clustering among individuals in each group, with the cluster of HLEA being broader compared to the other groups, presumably due to the wider spectrum of hepatic diseases represented in these samples. While younger and older adult control dogs had very similar metabolomic patterns and clusters, there were changes in many metabolites in the hepatopathy groups. Higher phenylalanine and tyrosine concentrations, lower branched-chained amino acids (BCAAs) concentrations, and altered fatty acid parameters were seen in cPSS dogs compared to controls. In contrast, dogs with HLEA had increased concentrations of BCAAs, phenylalanine, and various lipoproteins. Machine learning based solely on the metabolomics data showed excellent group classification, potentially identifying a novel tool to differentiate hepatopathies. The observed changes in metabolic parameters could provide invaluable insight into the pathophysiology, diagnosis, and prognosis of hepatopathies.
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Search related cases →Original publication on PubMed: https://pubmed.ncbi.nlm.nih.gov/35351920/