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Comparison of Cardiac Action Potential between Human Pluripotent Stem Cell-Derived Cardiomyocytes(hPSC-CM) and CiPA (Comprehensive in vitro proarrhythmic assay)-based In Silico Simulation

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For the assessment of cardiotoxicity and Torsade de Pointes (TdP), a fatal arrhythmic symptom, ICH S7B and E14 guidelines were presented. However, focusing on hERG blocks, which are essential determinants of arrhythmic risk, may unexpectedly limit drug development by increasing the risk of excluding drugs that are actually non-toxic. To compensate for these problems, the Comprehensive in vitro Proarrhythmic Assay (CiPA) project was proposed. The CiPA project consists of four components: in vitro multiple cardiac ion channel evaluation, in silico computer simulation, cardiotoxicity evaluation using human stem cell-derived cardiomyocytes, and ECG evaluation. Here, we compared cardiac action potential using positive (Isoproterenol), negative (Diltiazem), false positive (Astemizole), and false negative (Levofloxacin) drugs between in silico computer simulation and human induced pluripotent stem cell-derived cardiomyocytes (hPSC-CM). To distinguish between positive and negative, cardiotoxicity was determined by considering whether the action potential duration at 90% repolarization (APD90) changed by more than 10% and the Cmax of the drug. We observed that drug-induced action potential shape changes were similar between in vitro clamp studies and in silico simulations.

Abstract

For the assessment of cardiotoxicity and Torsade de Pointes (TdP), a fatal arrhythmic symptom, ICH S7B and E14 guidelines were presented. However, focusing on hERG blocks, which are essential determinants of arrhythmic risk, may unexpectedly limit drug development by increasing the risk of excluding drugs that are actually non-toxic. To compensate for these problems, the Comprehensive in vitro Proarrhythmic Assay (CiPA) project was proposed. The CiPA project consists of four components: in vitro multiple cardiac ion channel evaluation, in silico computer simulation, cardiotoxicity evaluation using human stem cell-derived cardiomyocytes, and ECG evaluation. Here, we compared cardiac action potential using positive (Isoproterenol), negative (Diltiazem), false positive (Astemizole), and false negative (Levofloxacin) drugs between in silico computer simulation and human induced pluripotent stem cell-derived cardiomyocytes (hPSC-CM). To distinguish between positive and negative, cardiotoxicity was determined by considering whether the action potential duration at 90% repolarization (APD90) changed by more than 10% and the Cmax of the drug. We observed that drug-induced action potential shape changes were similar between in vitro clamp studies and in silico simulations.

참고문헌 (10)

  1. Authier, S., "Proarrhythmia liability assessment and the comprehensive in vitro proarrhythmia assay(CiPA) : an industry survey on current practice", J. Pharmacol. Toxicol. Methods, 86, pp.34~43 (2017)
  2. Cavero, I., "ICH S7B draft guideline on the non-clinical strategy for testing delayed cardiac repolarisation risk of drugs : a critical analysis", Expert Opin. Drug Saf, 4, pp.509~530 (2005)
  3. Cavero, I., "Comprehensive in vitro Proarrhythmia Assay(CiPA) : Pending issues for successful validation and implementation", J. Pharmacol. Toxicol. Methods, 81, pp.21~36 (2016)
  4. Colatsky, T., "The comprehensive in vitro proarrhythmia assay(CiPA)initiative-update on progress", J. Pharmacol. Toxicol. Methods, 81, pp.15~20 (2016)
  5. Fermini, B., "A new perspective in the field of cardiac safety testing through the comprehensive in vitro proarrhythmia assay paradigm", J. Biomol. Screen, 21, pp.1~11 (2016)
  6. Jeong, D. U., "Proarrhythmic risk assessment of drugs by d V m", dt shapes using the convolutional neural network, 2022, pp.11, 653~664
  7. Park, J. S., "Introduction to in silico model for proarrhythmic risk assessment under the CiPA initiative", Transl. Clin. Pharmacol, 27, pp.12~18 (2019)
  8. Strauss, D. G., "Comprehensive in vitro proarrhythmia assay(CiPA)update from a cardiac safety research consortium", health and environmental sciences institute, Ther. Innov. Regul. Sci, pp.2019, 53[DOI]
  9. Yap, Y. G., "Drug induced QT prolongation and torsades de pointes", Heart, 89, pp.1363~1372 (2003)
  10. Yoo, Y., "Assessment of drug Proarrhythmicity using artificial neural networks with in silico deterministic model outputs", Front. Physiol, 12, pp.e761691~ (2021)

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