Determinants of beat-to-beat variability of repolarization duration in the canine ventricular myocyte: a

Jordi Heijman1, Antonio Zaza, Daniel M Johnson

  • 1Department of Knowledge Engineering, Maastricht University, Maastricht, The Netherlands.

Insights

Beat-to-beat variability of repolarization duration (BVR) is a key cardiac marker. Computer modeling revealed that stochastic gating of ion channels, particularly INa and IKr, drives BVR and its rate dependence.

Area of Science:

  • Cardiac Electrophysiology
  • Computational Biology
  • Molecular Cardiology

Background:

  • Beat-to-beat variability of repolarization duration (BVR) is a crucial indicator of cardiac electrical stability and a predictor of proarrhythmia.
  • Understanding the underlying ionic mechanisms of BVR in both physiological states and pathological conditions like long-QT syndromes is essential for developing targeted therapies.

Purpose of the Study:

  • To investigate the subcellular ionic mechanisms contributing to BVR under physiological conditions.
  • To explore the factors influencing BVR during drug-induced repolarization prolongation, simulating long-QT syndromes.
  • To elucidate the rate dependence of BVR and the roles of specific ion channels.

Main Methods:

  • Development of a computational model of canine ventricular-myocyte electrophysiology with stochastic implementations of 13 major ionic currents.
  • Simulation of physiological conditions and drug-induced repolarization abnormalities (LQTS types 1, 2, 3).
  • Analysis of the impact of stochastic channel gating, action potential duration (APD), calcium handling, and cell-to-cell coupling on BVR.

Main Results:

  • The model successfully reproduced short- and long-term variability consistent with experimental data.
  • Stochastic gating of persistent Na+ current (INa) and rapidly activating delayed rectifier K+ current (IKr) were identified as major contributors to physiological BVR.
  • Increased BVR was observed with IKr inhibition or INa augmentation, and modulated by β-adrenergic stimulation, with differing effects in simulated LQTS1.
  • Cell-to-cell coupling was found to reduce BVR, particularly when coupling cells with differing BVR levels.

Conclusions:

  • This study provides novel insights into the ionic and subcellular mechanisms driving BVR.
  • BVR is influenced by ion channel stochasticity, APD, calcium handling, and cell coupling.
  • BVR may serve as a multifaceted marker reflecting several potentially proarrhythmic factors.

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