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Peer-reviewed veterinary case report

Metabolomic differences in feces of cats with IBD and small cell

By S. Marsilio et al.·Published in Scientific Reports·2021·View original on Semantic Scholar

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Original publication title: Untargeted metabolomic analysis in cats with naturally occurring inflammatory bowel disease and alimentary small cell lymphoma

Species:
cat

Plain-English summary

A group of cats with gastrointestinal issues, including inflammatory bowel disease (IBD) and small cell lymphoma (SCL), were studied to understand their condition better. Researchers found that the metabolic profiles in these cats were different from healthy cats, which could help in diagnosing their specific issues. They identified certain compounds that could distinguish between IBD and SCL, which is often challenging for veterinarians. This research could lead to better diagnostic methods and treatments for cats suffering from these gastrointestinal disorders.

People also search for: cat inflammatory bowel disease symptoms · cat small cell lymphoma treatment · how to diagnose cat gastrointestinal issues

Abstract

Feline chronic enteropathy (CE) is a common gastrointestinal disorder in cats and mainly comprises inflammatory bowel disease (IBD) and small cell lymphoma (SCL). Differentiation between IBD and SCL can be diagnostically challenging. We characterized the fecal metabolome of 14 healthy cats and 22 cats with naturally occurring CE (11 cats with IBD and 11 cats with SCL). Principal component analysis and heat map analysis showed distinct clustering between cats with CE and healthy controls. Random forest classification revealed good group prediction for healthy cats and cats with CE, with an overall out-of-bag error rate of 16.7%. Univariate analysis indicated that levels of 84 compounds in cats with CE differed from those in healthy cats. Polyunsaturated fatty acids held discriminatory power in differentiating IBD from SCL. Metabolomic profiles of cats with CE resembled those in people with CE with significant alterations of metabolites related to tryptophan, arachidonic acid, and glutathione pathways.

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Original publication on Semantic Scholar: https://www.semanticscholar.org/paper/33911166