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Considerations for choosing an optimal animal model of cardiovascular disease.

Authors :
Parikh M
Pierce GN
Source :
Canadian journal of physiology and pharmacology [Can J Physiol Pharmacol] 2024 Feb 01; Vol. 102 (2), pp. 75-85. Date of Electronic Publication: 2023 Sep 25.
Publication Year :
2024

Abstract

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- cp rat as a model of cardiovascular disease is discussed.<br />Competing Interests: 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.

Details

Language :
English
ISSN :
1205-7541
Volume :
102
Issue :
2
Database :
MEDLINE
Journal :
Canadian journal of physiology and pharmacology
Publication Type :
Academic Journal
Accession number :
37748198
Full Text :
https://doi.org/10.1139/cjpp-2023-0206