Literature DB >> 30415824

Development of torsadogenic risk assessment using human induced pluripotent stem cell-derived cardiomyocytes: Japan iPS Cardiac Safety Assessment (JiCSA) update.

Yasunari Kanda1, Daiju Yamazaki2, Tomoharu Osada3, Takashi Yoshinaga4, Kohei Sawada5.   

Abstract

Cardiac safety assessment is challenging because a better understanding of torsadogenic mechanisms beyond hERG blockade and QT interval prolongation is necessary for patient safety. Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) provide a new human cell-based platform to assess cardiac safety in non-clinical testing during drug development. The multi-electrode array (MEA) platform is a promising electrophysiological technology to assess QT interval prolongation and proarrhythmic potential of drug candidates using hiPSC-CMs. The Japan iPS Cardiac Safety Assessment (JiCSA) has established an MEA protocol to evaluate the applicability of hiPSC-CMs for assessing the torsadogenic potential of compounds and completed a large-scale validation study using 60 compounds. During our study, an international multi-site study of hiPSC-CMs was performed by the Comprehensive in Vitro Proarrhythmia Assay (CiPA) initiative using 28 compounds. We have comparatively analyzed our JiCSA datasets with those of CiPA using the CiPA logistical and ordinal linear regression model. Regardless of the protocol differences, the evaluation results of the 28 compounds were very similar and highly predictable for torsadogenic risks. Thus, an MEA-based approach using hiPSC-CMs would be a standard testing method to evaluate proarrhythmic potentials. This review paper would provide new insights into the hiPSC-CMs/MEA method required for its regulatory use.
Copyright © 2018 The Authors. Production and hosting by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cardiac safety; CiPA; Human iPS cells; JiCSA; Standardization

Mesh:

Year:  2018        PMID: 30415824     DOI: 10.1016/j.jphs.2018.10.010

Source DB:  PubMed          Journal:  J Pharmacol Sci        ISSN: 1347-8613            Impact factor:   3.337


  14 in total

1.  Detection of Drug-Induced Torsades de Pointes Arrhythmia Mechanisms Using hiPSC-CM Syncytial Monolayers in a High-Throughput Screening Voltage Sensitive Dye Assay.

Authors:  Andre Monteiro da Rocha; Jeffery Creech; Ethan Thonn; Sergey Mironov; Todd J Herron
Journal:  Toxicol Sci       Date:  2020-02-01       Impact factor: 4.849

2.  Assessing Drug-Induced Long QT and Proarrhythmic Risk Using Human Stem-Cell-Derived Cardiomyocytes in a Ca2+ Imaging Assay: Evaluation of 28 CiPA Compounds at Three Test Sites.

Authors:  Hua Rong Lu; Haoyu Zeng; Ralf Kettenhofen; Liang Guo; Ivan Kopljar; Karel van Ammel; Fetene Tekle; Ard Teisman; Jin Zhai; Holly Clouse; Jennifer Pierson; Michael Furniss; Armando Lagrutta; Frederick Sannajust; David J Gallacher
Journal:  Toxicol Sci       Date:  2019-08-01       Impact factor: 4.849

3.  Generation of Cylindrical Engineered Cardiac Tissues from Human iPS Cell-Derived Cardiovascular Cell Lineages.

Authors:  Hidetoshi Masumoto
Journal:  Methods Mol Biol       Date:  2021

4.  Blinded, Multicenter Evaluation of Drug-induced Changes in Contractility Using Human-induced Pluripotent Stem Cell-derived Cardiomyocytes.

Authors:  Umber Saleem; Berend J van Meer; Puspita A Katili; Nurul A N Mohd Yusof; Ingra Mannhardt; Ana Krotenberg Garcia; Leon Tertoolen; Tessa de Korte; Maria L H Vlaming; Karen McGlynn; Jessica Nebel; Anthony Bahinski; Kate Harris; Eric Rossman; Xiaoping Xu; Francis L Burton; Godfrey L Smith; Peter Clements; Christine L Mummery; Thomas Eschenhagen; Arne Hansen; Chris Denning
Journal:  Toxicol Sci       Date:  2020-07-01       Impact factor: 4.849

5.  General Principles for the Validation of Proarrhythmia Risk Prediction Models: An Extension of the CiPA In Silico Strategy.

Authors:  Zhihua Li; Gary R Mirams; Takashi Yoshinaga; Bradley J Ridder; Xiaomei Han; Janell E Chen; Norman L Stockbridge; Todd A Wisialowski; Bruce Damiano; Stefano Severi; Pierre Morissette; Peter R Kowey; Mark Holbrook; Godfrey Smith; Randall L Rasmusson; Michael Liu; Zhen Song; Zhilin Qu; Derek J Leishman; Jill Steidl-Nichols; Blanca Rodriguez; Alfonso Bueno-Orovio; Xin Zhou; Elisa Passini; Andrew G Edwards; Stefano Morotti; Haibo Ni; Eleonora Grandi; Colleen E Clancy; Jamie Vandenberg; Adam Hill; Mikiko Nakamura; Thomas Singer; Liudmila Polonchuk; Andrea Greiter-Wilke; Ken Wang; Stephane Nave; Aaron Fullerton; Eric A Sobie; Michelangelo Paci; Flora Musuamba Tshinanu; David G Strauss
Journal:  Clin Pharmacol Ther       Date:  2019-11-10       Impact factor: 6.903

6.  Specific induction and long-term maintenance of high purity ventricular cardiomyocytes from human induced pluripotent stem cells.

Authors:  Hiroyuki Fukushima; Miki Yoshioka; Masahide Kawatou; Víctor López-Dávila; Masafumi Takeda; Yasunari Kanda; Yuko Sekino; Yoshinori Yoshida; Jun K Yamashita
Journal:  PLoS One       Date:  2020-11-02       Impact factor: 3.240

Review 7.  Human-induced pluripotent stem cell-derived cardiomyocytes, 3D cardiac structures, and heart-on-a-chip as tools for drug research.

Authors:  Kalina Andrysiak; Jacek Stępniewski; Józef Dulak
Journal:  Pflugers Arch       Date:  2021-02-24       Impact factor: 3.657

Review 8.  Intensive care for human hearts in pluripotent stem cell models.

Authors:  Pelin Golforoush; Michael D Schneider
Journal:  NPJ Regen Med       Date:  2020-03-06

Review 9.  Human Induced Pluripotent Stem Cells Derived from a Cardiac Somatic Source: Insights for an In-Vitro Cardiomyocyte Platform.

Authors:  Alessandra Maria Lodrini; Lucio Barile; Marcella Rocchetti; Claudia Altomare
Journal:  Int J Mol Sci       Date:  2020-01-13       Impact factor: 5.923

10.  Decellularized Extracellular Matrices and Cardiac Differentiation: Study on Human Amniotic Fluid-Stem Cells.

Authors:  Giulia Gaggi; Andrea Di Credico; Pascal Izzicupo; Silvia Sancilio; Michele Di Mauro; Giovanni Iannetti; Susanna Dolci; Giovanni Amabile; Angela Di Baldassarre; Barbara Ghinassi
Journal:  Int J Mol Sci       Date:  2020-08-31       Impact factor: 5.923

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