Novel biomarkers in cats with congestive heart failure due to primary cardiomyopathy.


Journal

Journal of proteomics
ISSN: 1876-7737
Titre abrégé: J Proteomics
Pays: Netherlands
ID NLM: 101475056

Informations de publication

Date de publication:
30 08 2020
Historique:
received: 13 03 2020
revised: 10 06 2020
accepted: 06 07 2020
pubmed: 12 7 2020
medline: 22 6 2021
entrez: 12 7 2020
Statut: ppublish

Résumé

The pathogenesis of feline cardiomyopathy and congestive heart failure (CHF) requires further understanding. In this study, we assessed serum proteome change in feline CHF, aiming to identify novel biomarker for both research and clinical use. The study comprised 15 cats in CHF, 5 cats in preclinical cardiomyopathy and 15 cats as healthy controls. Serum proteome profiles were obtained by tandem mass tag labelling followed by mass spectrometry. Protein concentrations in CHF cats were compared with healthy controls. Western blot was performed for proteomic validation. Correlations were assessed between the altered proteins in CHF and clinical variables in cats with cardiomyopathy to evaluate protein-cardiac association. Bioinformatic analysis was employed to identify pathophysiological pathways involved in feline CHF. Sixteen serum proteins were significantly different between CHF and healthy control cats (P < .05). These included serine protease inhibitors, apolipoproteins and other proteins associated with inflammation and coagulation. Clinical parameters from cats with cardiomyopathy significantly correlated with the altered proteins (P < .05). Bioinformatic analysis identified 13 most relevant functional profiles in feline CHF, which mostly associated with extracellular matrix organization and metabolism. Data are available via ProteomeXchange with identifier PXD017761. SIGNIFICANCE: Cardiomyopathies affect both cats and humans, and they can cause serious consequence such as congestive heart failure (CHF). To date, the pathophysiological mechanism of CHF is not fully understood. In this study, for the first time, we used a proteomic approach combined with bioinformatic analysis to evaluate serum protein change in cats with CHF. Results indicate systemic inflammation, coagulation protein changes, innate immunity and extracellular matrix remodeling are involved in feline CHF, which are largely comparable with findings in previous human studies. Our study provides new insights into CHF and cardiomyopathy in cats, and the identified novel biomarkers and pathophysiological pathways provide valuable information for future studies.

Identifiants

pubmed: 32652222
pii: S1874-3919(20)30264-5
doi: 10.1016/j.jprot.2020.103896
pii:
doi:

Substances chimiques

Biomarkers 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

103896

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that there are no conflicts of interest.

Auteurs

Mengmeng Liu (M)

Small Animal Hospital, School of Veterinary Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK.

P David Eckersall (PD)

Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, UK; Laboratory for Proteomics, Faculty of Veterinary Medicine, University of Zagreb, Zagreb, Croatia.

Vladimir Mrljak (V)

Laboratory for Proteomics, Faculty of Veterinary Medicine, University of Zagreb, Zagreb, Croatia.

Anita Horvatić (A)

Laboratory for Proteomics, Faculty of Veterinary Medicine, University of Zagreb, Zagreb, Croatia.

Nicolas Guillemin (N)

Laboratory for Proteomics, Faculty of Veterinary Medicine, University of Zagreb, Zagreb, Croatia.

Asier Galan (A)

Laboratory for Proteomics, Faculty of Veterinary Medicine, University of Zagreb, Zagreb, Croatia.

Liza Köster (L)

Department of Small Animal Clinical Sciences, University of Tennessee, Knoxville, TN, USA.

Anne French (A)

Ross University School of Veterinary Medicine, Basseterre, St Kitts & Nevis, West Indies. Electronic address: AFrench@rossvet.edu.kn.

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Classifications MeSH