
Professor Melanie Hezzell
MA(Cantab.), VetMB(Cantab.), PhD(RVC), CertVDI, CertVC, MRCVS, DACVIM (Cardiology)
Expertise
I am a clinically active Veterinary Cardiologist. My research interests centre on the pathophysiology of cardiovascular disease, including genetic influences, remodelling, endothelial dysfunction and the cardiorenal syndrome.
Current positions
Professor of Veterinary Cardiology
Bristol Veterinary School
Contact
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Research interests
My research focuses particularly on the use of biomarkers in clinical veterinary practice. I am also involved in research investigating myocardial remodelling in valvular heart disease.
Projects and supervisions
Research projects
Do measurements of circulating fibrosis markers change with disease progression in canine myxomatous mitral valve disease?
Principal Investigator
Managing organisational unit
Bristol Medical School (THS)Dates
17/05/2022 to 30/06/2025
Remodelling in Canine Myxomatous Mitral Valve Disease
Principal Investigator
Managing organisational unit
Bristol Medical School (THS)Dates
01/04/2022 to 31/03/2026
Remodelling in Myxomatous Mitral Valve Disease: The Relationship between Inflammation and the Development of Fibrosis
Principal Investigator
Managing organisational unit
Bristol Medical School (THS)Dates
01/05/2021 to 30/04/2026
Thesis supervisions
Publications
Recent publications
30/07/2026Adjunctive therapy with a Perna canaliculus and Euphausia superba extract (EAB-277™) for clinical signs of tracheal collapse in dogs
Veterinary Medicine and Science
Anti-desmoglein-2 autoantibodies do not discriminate between UK boxer dogs with and without arrhythmogenic right ventricular cardiomyopathy
Veterinary Record
Prognostic value of plasma cortisol concentration in dogs with congestive heart failure
Journal of Veterinary Internal Medicine
Survival of dogs with myxomatous mitral valve disease administered preclinical pimobendan in comparison to pimobendan-naïve dogs from the onset of congestive heart failure
Journal of Veterinary Cardiology
Accelerometer-derived classifiers for early detection of degenerative joint disease in cats
Veterinary Journal



