Key result
A 12-state two-step inactivation Markov model successfully simulated the gating kinetics of the Nav1.5 channel, including slow inactivation and bi-exponential recovery, outperforming a simpler 8-state model.
A novel 12-state two-step inactivation Markov model accurately simulates the slow inactivation and recovery kinetics of the cardiac Nav1.5 sodium channel, providing a computational framework for studying arrhythmia mechanisms.
Refines Nav1.5 gating models; leaves open translation to arrhythmia mechanisms or therapy.
Voltage-gated sodium channel Nav1.5 has been linked to the cardiac cell excitability and a variety of arrhythmic syndromes including long QT, Brugada, and conduction abnormalities. Nav1.5 exhibits a slow inactivation, corresponding to a duration-dependent bi-exponential recovery, which is often associated with various arrhythmia syndromes. However, the gating mechanism of Nav1.5 and the physiological role of slow inactivation in cardiac cells remain elusive. Here a 12-state two-step inactivation Markov model was successfully developed to depict the gating kinetics of Nav1.5. This model can simulate the Nav1.5 channel in not only steady state processes, but also various transient processes. Compared with the simpler 8-state model, this 12-state model is well-behaved in simulating and explaining the processes of slow inactivation and slow recovery. This model provides a good framework for further studying the gating mechanism and physiological role of sodium channel in excitable cells.
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Zhang et al. (2013) studied Nav1.5 channel gating kinetics (associated with arrhythmia syndromes). 12-state two-step inactivation Markov model vs. 8-state Markov model was evaluated on Simulation of Nav1.5 channel gating kinetics (slow inactivation and bi-exponential recovery). A 12-state two-step inactivation Markov model successfully simulated the gating kinetics of the Nav1.5 channel, including slow inactivation and bi-exponential recovery, outperforming a simpler 8-state model.
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