Serum proteome profiling in canine chronic valve disease using a TMT-based quantitative proteomics approach

Kuleš, J. et al. (2020) Serum proteome profiling in canine chronic valve disease using a TMT-based quantitative proteomics approach. Journal of Proteomics, 223, 103825. (doi: 10.1016/j.jprot.2020.103825) (PMID:32422277)

Abstract

Chronic valve disease (CVD) is the most common clinically significant heart disease of dogs, affecting 20 to 40% of dogs. The aim of this study was to evaluate the serum protein profile of healthy and CVD affected dogs, by means of an isobaric tandem mass tag (TMT) label-based high-resolution quantitative proteomic approach. Additionally, conventional cardiac biomarkers were measured in the serum, functional bioinformatics analysis was employed for elucidating molecular mechanisms and pathways associated with CVD, and validation of proteomic results was performed by immunoassays and Western blotting. Of 290 identified and quantified proteins, 15 proteins showed significantly different abundances (p < .05), including antithrombin-III, alpha-2-antiplasmin, tetranectin, apolipoprotein M, adiponectin, inter-alpha-trypsin inhibitor heavy chain H1, gelsolin and apolipoprotein B-100. The identified proteins with differently abundances are involved in a number of pathways, such as complement and coagulation cascades, haemostasis, regulation of actin cytoskeleton, lipid metabolism and transport. We found comparative similarities with human disease in terms of identified proteins and GO pathways, which confirmed similar pathophysiology of this disease, but also differences, mainly in lipid metabolism.

• Item Type: Articles
• Additional Information: This work was supported by the Croatian Science Foundation “BioDog” project (Grant Agreement 4135) and European Structural and Investment Funds (Grant Agreement KK.01.1.16.0004).
• Keywords: Chronic valve disease, dog, serum, TMT-based quantitative proteomics, biomarker.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Eckersall, Professor David
• Authors: Kuleš, J., Bilić, P., Horvatić, A., Kovačević, A., Guillemin, N., Ljubić, B. B., Galan, A., Jović, I., Torti, M., Rubić, I., Eckersall, P. D., and Mrljak, V.
• College/School: College of Medical Veterinary and Life Sciences > School of Biodiversity, One Health & Veterinary Medicine
• Journal Name: Journal of Proteomics
• Publisher: Elsevier
• ISSN: 1874-3919
• ISSN (Online): 1876-7737
• Published Online: 16 May 2020
• Copyright Holders: Copyright © 2020 Elsevier B.V.
• First Published: First published in Journal of Proteomics 223: 103825
• Publisher Policy: Reproduced in accordance with the publisher copyright policy