Literature DB >> 27956204

A new paradigm for drug-induced torsadogenic risk assessment using human iPS cell-derived cardiomyocytes.

Hiroyuki Ando1, Takashi Yoshinaga2, Wataru Yamamoto3, Keiichi Asakura4, Takaaki Uda5, Tomohiko Taniguchi6, Atsuko Ojima6, Raku Shinkyo7, Kiyomi Kikuchi7, Tomoharu Osada8, Seiji Hayashi4, Chieko Kasai9, Norimasa Miyamoto6, Hiroyuki Tashibu10, Daiju Yamazaki11, Atsushi Sugiyama12, Yasunari Kanda11, Kohei Sawada13, Yuko Sekino14.   

Abstract

INTRODUCTION: Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) are anticipated to be a useful tool for conducting proarrhythmia risk assessments of drug candidates. However, a torsadogenic risk prediction paradigm using hiPSC-CMs has not yet been fully established.
METHODS: Extracellular field potentials (FPs) were recorded from hiPSC-CMs using the multi-electrode array (MEA) system. The effects on FPs were evaluated with 60 drugs, including 57 with various clinical torsadogenic risks. Actual drug concentrations in medium were measured using the equilibrium dialysis method with a Rapid Equilibrium Dialysis device. Relative torsade de pointes (TdP) scores were determined for each drug according to the degree of FP duration prolongation and early afterdepolarization occurrence. The margins were calculated from the free concentration in medium and free effective therapeutic plasma concentration. Each drug's results were plotted on a two-dimensional map of relative TdP risk scores versus margins.
RESULTS: Each drug was categorised as high, intermediate, or low risk based on its location within predefined areas of the two-dimensional map. We categorised 19 drugs as high risk; 18 as intermediate risk; and 17 as low risk. We examined the concordance between our categorisation of high and low risk drugs against the torsadogenic risk categorisation in CredibleMeds®. Our system demonstrated high concordance, as reflected in a sensitivity of 81%, specificity of 87%, and accuracy of 83%. DISCUSSION: These results indicate that our torsadogenic risk assessment is reliable and has a potential to replace the hERG assay for torsadogenic risk prediction, however, this system needs to be improved for the accurate of prediction of clinical TdP risk. Here, we propose a novel drug induced torsadogenic risk categorising system using hiPSC-CMs and the MEA system.
Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Concordance; Early afterdepolarization; Field potential duration; Free concentration; Human induced pluripotent stem cell-derived cardiomyocytes; Multi-electrode array; Proarrhythmia; Risk categorisation; Torsade de pointes; Torsadogenic risk

Mesh:

Substances:

Year:  2016        PMID: 27956204     DOI: 10.1016/j.vascn.2016.12.003

Source DB:  PubMed          Journal:  J Pharmacol Toxicol Methods        ISSN: 1056-8719            Impact factor:   1.950


  42 in total

1.  Using Light to Endow Stem-Cell-Derived Cardiomyocytes With Virtual IK1 Conductances.

Authors:  Teun P de Boer
Journal:  Biophys J       Date:  2018-10-30       Impact factor: 4.033

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

Review 3.  Dominant rule of community effect in synchronized beating behavior of cardiomyocyte networks.

Authors:  Kenji Yasuda
Journal:  Biophys Rev       Date:  2020-05-04

Review 4.  Workshop Report: FDA Workshop on Improving Cardiotoxicity Assessment With Human-Relevant Platforms.

Authors:  Li Pang; Philip Sager; Xi Yang; Hong Shi; Frederick Sannajust; Mathew Brock; Joseph C Wu; Najah Abi-Gerges; Beverly Lyn-Cook; Brian R Berridge; Norman Stockbridge
Journal:  Circ Res       Date:  2019-10-10       Impact factor: 17.367

Review 5.  Using iPSC Models to Probe Regulation of Cardiac Ion Channel Function.

Authors:  Arne A N Bruyneel; Wesley L McKeithan; Dries A M Feyen; Mark Mercola
Journal:  Curr Cardiol Rep       Date:  2018-05-25       Impact factor: 2.931

6.  Cardiotoxicity Hazard and Risk Characterization of ToxCast Chemicals Using Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes from Multiple Donors.

Authors:  Sarah D Burnett; Alexander D Blanchette; Weihsueh A Chiu; Ivan Rusyn
Journal:  Chem Res Toxicol       Date:  2021-08-27       Impact factor: 3.739

Review 7.  Will iPSC-cardiomyocytes revolutionize the discovery of drugs for heart disease?

Authors:  Arne An Bruyneel; Wesley L McKeithan; Dries Am Feyen; Mark Mercola
Journal:  Curr Opin Pharmacol       Date:  2018-08-03       Impact factor: 5.547

Review 8.  Withdrawal of prenylamine: perspectives on pharmacological, clinical and regulatory outcomes following the first QT-related casualty.

Authors:  Rashmi R Shah; Peter D Stonier
Journal:  Ther Adv Drug Saf       Date:  2018-06-18

Review 9.  Use of Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes in Preclinical Cancer Drug Cardiotoxicity Testing: A Scientific Statement From the American Heart Association.

Authors:  Gary Gintant; Paul Burridge; Lior Gepstein; Sian Harding; Todd Herron; Charles Hong; José Jalife; Joseph C Wu
Journal:  Circ Res       Date:  2019-09-19       Impact factor: 17.367

Review 10.  Human pluripotent stem cell-based cardiovascular disease modeling and drug discovery.

Authors:  Ge Liu; Zhun Liu; Nan Cao
Journal:  Pflugers Arch       Date:  2021-03-08       Impact factor: 3.657

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