DocumentCode
3562069
Title
Computational modeling supports induced pluripotent stem cell-derived cardiomyocytes reliability as a model for human LQT3
Author
Paci, Michelangelo ; Severi, Stefano ; Hyttinen, Jari
Author_Institution
ELT, Tampere Univ. of Technol., Tampere, Finland
fYear
2014
Firstpage
69
Lastpage
72
Abstract
Long QT 3 (LQT3) is a specific LQT syndrome, induced by defects in the SCN5A gene, encoding for the Na+ channels. Its effect is a Na+ current (INa) gain-of-function, resulting in a sustained late current and in an action potential (AP) duration (APD) prolongation. In this paper we aim to develop a control and a LQT3 patient in silico action potential model of human induced pluripotent stem cell-derived cardiomyocytes (hiPSCCMs), based on experimental electrophysiological data. We aim to study how in vitro and in silico hiPSC-CMs can model this syndrome. We also provide a comparison with one state-of-the-art model of adult cardiac cell. The control model showed (simulations vs experiments) (i) AP amplitude: 94.0 vs 86.0+/-1.4 mV, (ii) maximum diastolic potential: -64.0 vs -61.4+/-1.4 mV, (iii) APD90: 458.3 vs 434.0+/-31.1 ms and (iv) rate of spontaneous beating: 67.6 vs 69.1+/-11.3 bpm. In simulations, the LQT3 INa induced the experimentally observed APD prolongation (APD90 +32.3%) and rate slowdown (-33.0%). By simulating the administration of 50 j.tM of mexiletine in the patient model, the effect of the mutation was partially compensated, resulting in an APD90 shortening (-16.0%), in agreement with the experiments (-20%). Finally, by simulating a 5-fold INa late increment in the O´Hara-Rudy adult model we got APD prolongations similar to those reproduced by our LQT3 model, APD30 (+30.9%), APD50 (+ 33.6%), APD70 (+ 34.1%) and APD90 (+ 30.2%). Our results show that hiPSC-CMs and computational models derived from their electrophysiological traces represent in vitro and in silico models comparable to adult cardiomyocytes for LQT3, suitable for personalized studies on this pathology.
Keywords
bioelectric potentials; biomembrane transport; cardiovascular system; drugs; genetics; medical disorders; physiological models; positive ions; sodium; LSCN5A gene; Na+; O´Hara-Rudy adult model; action potential duration prolongation; adult cardiac cell model; computational modeling; electrophysiological traces; human LQT3 model; in silico human induced pluripotent stem cell-derived cardiomyocytes; in vitro human induced pluripotent stem cell-derived cardiomyocytes; maximum diastolic potential; mexiletine administration simulation; sodium ion channel encoding; sodium ion current gain-of-function; spontaneous beating rate; Abstracts; Computational modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing in Cardiology Conference (CinC), 2014
ISSN
2325-8861
Print_ISBN
978-1-4799-4346-3
Type
conf
Filename
7042981
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