@inproceedings{e17a2bee9cf944f7b6ad6b4e7e6ba8f4,
title = "In Silico Identification of the Key Ionic Currents Modulating Human Pluripotent Stem Cell-Derived Cardiomyocytes Towards an Adult Phenotype",
abstract = "Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) provide a promising resource for regenerative therapies. However, their immature phenotype and heterogeneities raise concern for arrhythmia when hiPSC-CMs are inserted into the native tissue. In silico models can improve understanding of the electrophysiological differences between hiPSC-CMs and adult cardiomyocytes and inform risk predictions. Our aim is to conduct a sensitivity analysis to identify the main ionic currents determining differences in electrophysiological properties between the Paci2020 model (hiPSC-CMs) and the ToR-ORd model (human ventricular cardiomyocytes). Our simulations highlighted the fast $Na^{+}$ current as the key modulator of upstroke velocity, while the inward and rapid delayed rectifier $K^{+}$ currents mainly contributed to a decrease of diastolic potential and action potential duration, respectively. In conclusion, we identified an increase of the conductance of these currents essential to modulate the biomarkers of the hiPSC-CM model towards the adult phenotype.",
keywords = "Analytical models, Electric potential, Sensitivity analysis, Biological system modeling, Computational modeling, Rectifiers, Modulation",
author = "Riebel, {Leto L.} and Elisa Passini and Francesca Margara and Michelangelo Paci and Jacopo Biasetti and Blanca Rodriguez",
note = "jufoid=72942; Computing in cardiology ; Conference date: 13-09-2021 Through 15-09-2021",
year = "2021",
doi = "10.23919/CinC53138.2021.9662683",
language = "English",
series = "Computing in cardiology",
publisher = "IEEE",
pages = "1--4",
booktitle = "2021 Computing in Cardiology (CinC)",
}