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Drug development is a long and expensive process. A study of new therapeutic drugs approved by the US Food and Drug Administration (FDA) between 2009 and 2018 reported that the estimated median cost of capitalized research and clinical trials was $985 million per product1. Drug-induced cardiotoxicity is the leading cause of drug attrition and withdrawal from the market2. Notably, cardiotoxicity is reported among multiple classes of therapeutic drugs3. Therefore, cardiac safety assessment is a crucial component during the drug development process. The current paradigm for cardiac safety assessment is still highly dependent on animal models. However, species differences from the use of animal models are increasingly recognized as a primary cause of inaccurate predictions for drug-induced cardiotoxicity in human patients4. For example, the morphology of cardiac action potential differs substantially between humans and mice due to the contributions from different repolarizing currents5. In addition, differential isoforms of cardiac myosin and circular RNAs that can impact cardiac physiology have been well documented among species6,7. To bridge these gaps, it is imperative to establish a reliable, efficient, and human-based model for preclinical cardiac safety assessment.
The groundbreaking invention of induced pluripotent stem cell (iPSC) technology has generated unprecedented drug screening and disease modeling platforms. Over the past decade, methods to generate human-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) have become well established8,9. hiPSC-CMs have attracted great interest in their potential applications in disease modeling, drug-induced cardiotoxicity screening, and precision medicine. For instance, hiPSC-CMs have been utilized to model the pathologic phenotypes of cardiac diseases caused by genetic inheritance, such as long QT syndrome10, hypertrophic cardiomyopathy11,12, and dilated cardiomyopathy13,14,15. Consequently, key signaling pathways implicated in the pathogenesis of cardiac diseases have been identified, which can shed light on potential therapeutic strategies for effective treatment. Moreover, hiPSC-CMs have been used to screen drug-induced cardiotoxicity associated with anticancer agents, including doxorubicin, trastuzumab, and tyrosine kinase inhibitors16,17,18; strategies to mitigate the resultant cardiotoxicity are under investigation. Finally, the genetic information retained in hiPSC-CMs allows for the screening and prediction of drug-induced cardiotoxicity at both individual and population levels19,20. Collectively, hiPSC-CMs have proven to be an invaluable tool for personalized cardiac safety prediction.
The overall goal of this protocol is to establish methodologies to comprehensively and efficiently investigate the functional characteristics of hiPSC-CMs, which are of great importance in applying hiPSC-CMs toward disease modeling, drug-induced cardiotoxicity screening, and precision medicine. Here, we detail an array of functional assays to assess the functional properties of hiPSC-CMs, including the measurement of contractility, field potential, action potential, and calcium (Ca2+) handling (Figure 1).