Considerations for choosing an optimal animal model of cardiovascular disease.

animal models cardiovascular disease ischemia metabolism obesity

Journal

Canadian journal of physiology and pharmacology
ISSN: 1205-7541
Titre abrégé: Can J Physiol Pharmacol
Pays: Canada
ID NLM: 0372712

Informations de publication

Date de publication:
25 Sep 2023
Historique:
pubmed: 25 9 2023
medline: 25 9 2023
entrez: 25 9 2023
Statut: aheadofprint

Résumé

The decision to use the optimal animal model to mimic the various types of cardiovascular disease is a critical one for a basic scientist. Clinical cardiovascular disease can be complex and presents itself as atherosclerosis, hypertension, ischemia/reperfusion injury, myocardial infarcts, and cardiomyopathies, amongst others. This may be further complicated by the simultaneous presence of two or more cardiovascular lesions (for example, atherosclerosis and hypertension) and co-morbidities (i.e., diabetes, infectious disease, obesity, etc). This variety and merging of disease states creates an unusually difficult situation for the researcher who needs to identify the optimal animal model that is available to best represent all of the characteristics of the clinical cardiovascular disease. The present manuscript reviews the characteristics of the various animal models of cardiovascular disease available today, their advantages and disadvantages, with the goal to allow the reader access to the most recent data available for optimal choices prior to the initiation of the study. The animal species that can be chosen, the methods of generating these models of cardiovascular disease, as well as the specific cardiovascular lesions involved in each of these models are reviewed. A particular focus on the JCR:LA-

Identifiants

pubmed: 37748198
doi: 10.1139/cjpp-2023-0206
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Déclaration de conflit d'intérêts

There are no competing interests that are financial or non-financial or any other relationship that might bias or be seen to bias our work.

Auteurs

Mihir Parikh (M)

Department of Physiology and Pathophysiology, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada.
Institute of Cardiovascular Sciences, Albrechtsen Research Centre, St. Boniface Hospital, Winnipeg, MB, Canada.

Grant N Pierce (GN)

Department of Physiology and Pathophysiology, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada.
Institute of Cardiovascular Sciences, Albrechtsen Research Centre, St. Boniface Hospital, Winnipeg, MB, Canada.

Classifications MeSH