Tailoring Mathematical Models to Stem-Cell Derived Cardiomyocyte Lines Can Improve Predictions of Drug-Induced Changes to Their Electrophysiology.

Abstract:

:Human induced pluripotent stem cell derived cardiomyocytes (iPSC-CMs) have applications in disease modeling, cell therapy, drug screening and personalized medicine. Computational models can be used to interpret experimental findings in iPSC-CMs, provide mechanistic insights, and translate these findings to adult cardiomyocyte (CM) electrophysiology. However, different cell lines display different expression of ion channels, pumps and receptors, and show differences in electrophysiology. In this exploratory study, we use a mathematical model based on iPSC-CMs from Cellular Dynamic International (CDI, iCell), and compare its predictions to novel experimental recordings made with the Axiogenesis Cor.4U line. We show that tailoring this model to the specific cell line, even using limited data and a relatively simple approach, leads to improved predictions of baseline behavior and response to drugs. This demonstrates the need and the feasibility to tailor models to individual cell lines, although a more refined approach will be needed to characterize individual currents, address differences in ion current kinetics, and further improve these results.

journal_name

Front Physiol

journal_title

Frontiers in physiology

authors

Lei CL,Wang K,Clerx M,Johnstone RH,Hortigon-Vinagre MP,Zamora V,Allan A,Smith GL,Gavaghan DJ,Mirams GR,Polonchuk L

doi

10.3389/fphys.2017.00986

subject

Has Abstract

pub_date

2017-12-12 00:00:00

pages

986

issn

1664-042X

journal_volume

8

pub_type

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