Title :
Simulation of re-entrant wave dynamics in a 2-D sheet of human ventricle with KCNJ2-linked variant 3 short QT syndrome
Author :
Kuanquan Wang ; Cunjin Luo ; Yongfeng Yuan ; Weigang Lu ; Henggui Zhang
Author_Institution :
Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., Harbin, China
Abstract :
Recent studies suggested that short QT syndrome is liable to cause malignant ventricular arrhythmia possibly due to high-frequency re-entrant waves. Our goal was to study the dynamical behaviours of rotors associated with a KCNJ2-linked variant 3 short QT syndrome. A two-dimensional sheet model of human ventricular tissue was implemented to create a short QT syndrome substrate. Electrical action potential of each node was simulated by the ten Tusscher et al. model, which was modified to incorporate changes of hi based on experimentally observed data of Kir2.1 function, including WT, WT-D172N and D172N scenarios. Using the model, the minimal length of the S2 stimulus which provided a sufficient substrate for maintaining rotors was computed. It was shown that WT-D172N and D172N mutant Ik1 led to abbreviated APD and ERP, resulting in a reduced minimal length of the S2 stimulus to sustain re-entry. This suggested that with the SQT3 Kir2.1 mutation, reentry can be more easily initiated and sustained as compared to the WT condition. This study provides novel insights into the ionic bases of an increased incidence of ventricular fibrillation associated with short QT syndrome, which may cause sudden cardiac death.
Keywords :
bioelectric potentials; biological tissues; biomechanics; cardiology; diseases; genetics; rotors; 2D human ventricle sheet; D172N mutant Ik1; KCNJ2-linked variant 3 short QT syndrome; S2 stimulus minimal length; SQT3 Kir2.1 mutation; WT condition; WT-D172N; abbreviated APD; abbreviated ERP; electrical action potential; high-frequency reentrant waves; human ventricular tissue; ionic bases; malignant ventricular arrhythmia; reentrant wave dynamics simulation; rotor dynamical behaviours; short QT syndrome substrate; short QT syndrome-assoicated ventricular fibrillation; sudden cardiac death; two-dimensional sheet model; ventricular fibrillation incidence; Cardiology; Decision support systems;
Conference_Titel :
Computing in Cardiology Conference (CinC), 2014
Print_ISBN :
978-1-4799-4346-3