Technological Advances in Cardiovascular Safety Assessment Decrease Preclinical Animal Use and Improve Clinical Relevance
Author(s) -
Brian R. Berridge,
A. Eric Schultze,
Jon Heyen,
George H. Searfoss,
R. Dustan Sarazan
Publication year - 2016
Publication title -
ilar journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.129
H-Index - 75
eISSN - 1930-6180
pISSN - 1084-2020
DOI - 10.1093/ilar/ilw028
Subject(s) - medicine , animal testing , safety pharmacology , relevance (law) , animal model , preclinical testing , drug development , intensive care medicine , pathology , risk analysis (engineering) , pharmacology , drug , medical physics , biology , ecology , political science , law
Cardiovascular (CV) safety liabilities are significant concerns for drug developers and preclinical animal studies are predominately where those liabilities are characterized before patient exposures. Steady progress in technology and laboratory capabilities is enabling a more refined and informative use of animals in those studies. The application of surgically implantable and telemetered instrumentation in the acute assessment of drug effects on CV function has significantly improved historical approaches that involved anesthetized or restrained animals. More chronically instrumented animals and application of common clinical imaging assessments like echocardiography and MRI extend functional and in-life structural assessments into the repeat-dose setting. A growing portfolio of circulating CV biomarkers is allowing longitudinal and repeated measures of cardiac and vascular injury and dysfunction better informing an understanding of temporal pathogenesis and allowing earlier detection of undesirable effects. In vitro modeling systems of the past were limited by their lack of biological relevance to the in vivo human condition. Advances in stem cell technology and more complex in vitro modeling platforms are quickly creating more opportunity to supplant animals in our earliest assessments for liabilities. Continuing improvement in our capabilities in both animal and nonanimal modeling should support a steady decrease in animal use for primary liability identification and optimize the translational relevance of the animal studies we continue to do.
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