Related Experiment Video
Updated: Jul 4, 2026

Measurement of Heart Contractility in Isolated Adult Human Primary Cardiomyocytes
Published on: August 9, 2022
Moving towards better predictors of drug-induced torsades de pointes
A S Bass1, B Darpo, J-P Valentin
1Drug Safety and Metabolism, Schering-Plough Research Institute, Kenilworth, NJ 07033-0539, USA. alan.bass@spcorp.com
Abstract:
Drug-induced torsades de pointes (TdP) remains a significant public health concern that has challenged scientists who have the responsibility of advancing new medicines through development to the patient, while assuring public safety. As a result, from the point of discovering a new molecule to the time of its registration, significant efforts are made to recognize potential liabilities, including the potential for TdP. With this background, the ILSI (HESI) Proarrhythmia Models Project Committee recognized that there was little practical understanding of the relationship between drug effects on cardiac ventricular repolarization and the rare clinical event of TdP. A workshop was therefore convened at which four topics were considered including: Molecular and Cellular Biology Underlying TdP, Dynamics of Periodicity, Models of TdP Proarrhythmia and Key Considerations for Demonstrating Utility of Pre-Clinical Models. The series of publications in this special edition has established the background, areas of debate and those that deserve scientific pursuit. This is intented to encourage the research community to contribute to these important areas of investigation in advancing the science and our understanding of drug-induced proarrhythmia.
Related Concept Videos
Antiarrhythmic Drugs: Class III Agents as Potassium Channel Blockers
Therapeutic Drug Monitoring: Affecting Factors
Drug Toxicity: Risk factors
Heart Failure Drugs: Inotropic Agents
Drug Concentration Versus Time Correlation
Two pivotal parameters are the minimum effective concentration (MEC) and the minimum toxic concentration (MTC). The MEC is the lowest drug...
Therapeutic Drug Monitoring: Overview and Classification