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A Population of In Silico Models to Face the Variability of Human Induced Pluripotent Stem Cell-derived Cardiomyocytes: the hERG Block Case Study

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


Original languageEnglish
Title of host publicationComputing in Cardiology
Number of pages4
ISBN (Electronic)9781509008964
Publication statusPublished - 2016
Publication typeA4 Article in a conference publication
EventComputing in cardiology conference -
Duration: 1 Jan 1900 → …

Publication series

NameComputing in cardiology
ISSN (Print)2325-8861
ISSN (Electronic)2325-887X


ConferenceComputing in cardiology conference
Period1/01/00 → …


Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) are characterized by an extreme variability, which cannot be reproduced by a single in silico model. Here we present a population of hiPSC-CM models, calibrated using six different experimental datasets. By sampling the maximum conductances of 11 ionic currents, 10000 parameter sets were obtained. The experimental data-based calibration selected 1355 in silico models to be included in the final population. Such population reproduces the experimental data variability and it is used to assess the different responses to a 90% IKr block. Three different profiles emerged: models still normally beating (562), action potentials with EADs (336) and repolarization failures (457). The models still beating after 800 s since IKr block showed a mean APD90 of 723±12 ms. We observed significant differences among these three classes in the maximum conductances of ICaL, IKr, IKs, IK1, INaCa and INaK, supporting the idea that hiPSC-CM belonging to the same control population can however show dramatically different responses to an external perturbation, due to the physiological variability. This has to be taken in proper consideration in the perspective of using hiPSC-CMs for safety pharmacology assays.

Publication forum classification

Field of science, Statistics Finland