Literature DB >> 29066291

In silico assessment of the effects of various compounds in MEA/hiPSC-CM assays: Modeling and numerical simulations.

Emanuela Abbate1, Muriel Boulakia2, Yves Coudière3, Jean-Frédéric Gerbeau2, Philippe Zitoun4, Nejib Zemzemi5.   

Abstract

We propose a mathematical approach for the analysis of drugs effects on the electrical activity of human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) based on multi-electrode array (MEA) experiments. Our goal is to produce an in silico tool able to simulate drugs action in MEA/hiPSC-CM assays. The mathematical model takes into account the geometry of the MEA and the electrodes' properties. The electrical activity of the stem cells at the ion-channel level is governed by a system of ordinary differential equations (ODEs). The ODEs are coupled to the bidomain equations, describing the propagation of the electrical wave in the stem cells preparation. The field potential (FP) measured by the MEA is modeled by the extracellular potential of the bidomain equations. First, we propose a strategy allowing us to generate a field potential in good agreement with the experimental data. We show that we are able to reproduce realistic field potentials by introducing different scenarios of heterogeneity in the action potential. This heterogeneity reflects the differentiation atria/ventricles and the age of the cells. Second, we introduce a drug/ion channels interaction based on a pore block model. We conduct different simulations for five drugs (mexiletine, dofetilide, bepridil, ivabradine and BayK). We compare the simulation results with the field potential collected from experimental measurements. Different biomarkers computed on the FP are considered, including depolarization amplitude, repolarization delay, repolarization amplitude and depolarization-repolarization segment. The simulation results show that the model reflect properly the main effects of these drugs on the FP.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cardiac electrophysiology; Drug modeling; Field potential; MEA; hIPSC-CMs

Mesh:

Substances:

Year:  2017        PMID: 29066291     DOI: 10.1016/j.vascn.2017.10.005

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


  4 in total

1.  Composite Biomarkers Derived from Micro-Electrode Array Measurements and Computer Simulations Improve the Classification of Drug-Induced Channel Block.

Authors:  Eliott Tixier; Fabien Raphel; Damiano Lombardi; Jean-Frédéric Gerbeau
Journal:  Front Physiol       Date:  2018-01-04       Impact factor: 4.566

2.  Representation of Multiple Cellular Phenotypes Within Tissue-Level Simulations of Cardiac Electrophysiology.

Authors:  Louise A Bowler; David J Gavaghan; Gary R Mirams; Jonathan P Whiteley
Journal:  Bull Math Biol       Date:  2018-10-05       Impact factor: 1.758

3.  Comparison of in vitro and computational experiments on the relation of inter-beat interval and duration of repolarization in a specific type of human induced pluripotent stem cell-derived cardiomyocytes.

Authors:  Philipp Kügler; Georg Rast; Brian D Guth
Journal:  PLoS One       Date:  2019-09-09       Impact factor: 3.240

4.  A greedy classifier optimization strategy to assess ion channel blocking activity and pro-arrhythmia in hiPSC-cardiomyocytes.

Authors:  Fabien Raphel; Tessa De Korte; Damiano Lombardi; Stefan Braam; Jean-Frederic Gerbeau
Journal:  PLoS Comput Biol       Date:  2020-09-25       Impact factor: 4.475

  4 in total

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