Characterization of the intestinal mucosal proteome in cats with inflammatory bowel disease and alimentary small cell lymphoma.

J Vet Intern Med

Gastrointestinal Laboratory, Department of Small Animal Clinical Sciences, Texas A&M College of Veterinary Medicine & Biomedical Sciences, Texas A&M University, College Station, Texas, USA.

Published: January 2021

Background: Current tests for diagnosis and differentiation of lymphoplasmacytic enteritis (LPE) and small cell lymphoma (SCL) in cats are expensive, invasive, and lack specificity. The identification of less invasive, more reliable biomarkers would facilitate diagnosis.

Objectives: To characterize the mucosal proteome in endoscopically obtained, small intestinal tissue biopsy specimens. We hypothesized that differentially expressed proteins could be identified and serve as biomarker candidates for the differentiation of LPE and SCL in cats.

Animals: Six healthy control cats, 6 cats with LPE, and 8 cats with SCL.

Methods: The mucosal proteome was analyzed using 2-dimensional fluorescence difference gel electrophoresis (2D DIGE) and nanoflow liquid chromatography tandem mass spectrometry. For 5 proteins, results were verified by Western blot analysis.

Results: A total of 2349 spots were identified, of which 9 were differentially expressed with a ≥2-fold change between healthy cats and cats with LPE and SCL (.01 < P < .001). Eight of these 9 spots were also differentially expressed between cats with LPE and cats with SCL (P .001 < P < .04). However, Western blot analysis for malate dehydrogenase-1, malate dehydrogenase-2, apolipoprotein, annexin IV, and annexin V did not confirm significant differential protein expression for any of the 5 proteins assessed.

Conclusions And Clinical Importance: Two-D DIGE did not identify potential biomarker candidates in the intestinal mucosa of cats with LPE and SCL. Future studies should focus on different techniques to identify biomarker candidates for cats with chronic enteropathies (CE).

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7848303PMC
http://dx.doi.org/10.1111/jvim.16003DOI Listing

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