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Updated: Jul 16, 2026

Exercise Test for Evaluation of the Functional Efficacy of the Pig Cardiovascular System
Published on: May 12, 2023
Developing strategies to link basic cardiovascular sciences with clinical drug development: another opportunity for
A M Feldman1, W J Koch, T L Force
1Department of Medicine, Jefferson Medical College, Philadelphia, Pennsylvania, USA. arthur.feldman@jefferson.edu
Translational medicine advances drug discovery by bridging lab research and clinical application. Animal models offer crucial insights into potential drug cardiotoxicity, aiding safer clinical trial design.
Area of Science:
- Cardiovascular Research
- Translational Medicine
- Drug Development
Background:
- Translational medicine connects basic research to clinical applications, accelerating therapeutic initiatives.
- Its application in cardiovascular drug development and toxicity prediction for non-cardiac agents remains underutilized.
- Animal models are vital for understanding drug cardiotoxicity and designing clinical trials.
Purpose of the Study:
- To highlight the underuse of translational medicine in cardiovascular drug development.
- To emphasize the role of animal studies in predicting and mitigating drug-induced cardiotoxicity.
- To illustrate how preclinical data can inform drug development programs.
Main Methods:
- Review of existing literature on translational medicine and drug development.
- Analysis of case studies involving drug-induced cardiotoxicity.
- Discussion of the utility of animal models in preclinical safety assessments.
Main Results:
- Trastuzumab, cyclooxygenase inhibitors, and adenosine-receptor modulators exemplify drug programs where preclinical data could have informed development.
- Animal models provide essential data for identifying potential cardiovascular risks of new agents.
- Preclinical findings can guide the rational design of human clinical trials.
Conclusions:
- Translational medicine principles are crucial for advancing cardiovascular drug safety and efficacy.
- Animal models are indispensable tools for predicting cardiotoxicity and optimizing drug development pathways.
- Integrating preclinical insights enhances the safety and efficiency of evaluating new pharmacologic agents.
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