AUTHOR=Lei Chon Lok , Wang Ken , Clerx Michael , Johnstone Ross H. , Hortigon-Vinagre Maria P. , Zamora Victor , Allan Andrew , Smith Godfrey L. , Gavaghan David J. , Mirams Gary R. , Polonchuk Liudmila 

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

JOURNAL=Frontiers in Physiology

VOLUME=Volume 8 - 2017

YEAR=2017

URL=https://www.frontiersin.org/journals/physiology/articles/10.3389/fphys.2017.00986

DOI=10.3389/fphys.2017.00986

ISSN=1664-042X

ABSTRACT=3 Human induced pluripotent stem cell derived cardiomyocytes (iPSC-CMs) have applications
4 in disease modelling, cell therapy, drug screening and personalised medicine. Computational
5 models can be used to interpret experimental findings in iPSC-CMs, provide mechanistic insights,
6 and translate these findings to adult cardiomyocyte (CM) electrophysiology. However, different
7 cell lines display different expression of ion channels, pumps and receptors, and show differences
8 in electrophysiology. In this exploratory study, we use a mathematical model based on iPSC
9 CMs from Cellular Dynamic International (CDI, iCell), and compare its predictions to novel
10 experimental recordings made with the Axiogenesis Cor.4U line. We show that tailoring this
11 model to the specific cell line, even using limited data and a relatively simple approach, leads to
12 improved predictions of baseline behaviour and response to drugs. This demonstrates the need
13 and the feasibility to tailor models to individual cell lines, although a more refined approach will
14 be needed to characterise individual currents, address differences in ion current kinetics, and
15 further improve these results.