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
Link To Document :
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