4.7 Article

Human induced pluripotent stem cell-derived versus adult cardiomyocytes: an in silico electrophysiological study on effects of ionic current block

Journal

BRITISH JOURNAL OF PHARMACOLOGY
Volume 172, Issue 21, Pages 5147-5160

Publisher

WILEY
DOI: 10.1111/bph.13282

Keywords

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Funding

  1. Tekes, Finland [40346/11]
  2. Finnish Cultural Foundation, Central Fund, Finland
  3. Wellcome Trust

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Background and PurposeTwo new technologies are likely to revolutionize cardiac safety and drug development: in vitro experiments on human-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) and in silico human adult ventricular cardiomyocyte (hAdultV-CM) models. Their combination was recently proposed as a potential replacement for the present hERG-based QT study for pharmacological safety assessments. Here, we systematically compared in silico the effects of selective ionic current block on hiPSC-CM and hAdultV-CM action potentials (APs), to identify similarities/differences and to illustrate the potential of computational models as supportive tools for evaluating new in vitro technologies. Experimental ApproachIn silico AP models of ventricular-like and atrial-like hiPSC-CMs and hAdultV-CM were used to simulate the main effects of four degrees of block of the main cardiac transmembrane currents. Key ResultsQualitatively, hiPSC-CM and hAdultV-CM APs showed similar responses to current block, consistent with results from experiments. However, quantitatively, hiPSC-CMs were more sensitive to block of (i) L-type Ca2+ currents due to the overexpression of the Na+/Ca2+ exchanger (leading to shorter APs) and (ii) the inward rectifier K+ current due to reduced repolarization reserve (inducing diastolic potential depolarization and repolarization failure). Conclusions and ImplicationsIn silico hiPSC-CMs and hAdultV-CMs exhibit a similar response to selective current blocks. However, overall hiPSC-CMs show greater sensitivity to block, which may facilitate in vitro identification of drug-induced effects. Extrapolation of drug effects from hiPSC-CM to hAdultV-CM and pro-arrhythmic risk assessment can be facilitated by in silico predictions using biophysically-based computational models.

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