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Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations
Published on: January 8, 2013
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.
Abstract:
Beat-to-beat variability of repolarization duration (BVR) is an intrinsic characteristic of cardiac function and a better marker of proarrhythmia than repolarization prolongation alone. The ionic mechanisms underlying baseline BVR in physiological conditions, its rate dependence, and the factors contributing to increased BVR in pathologies remain incompletely understood. Here, we employed computer modeling to provide novel insights into the subcellular mechanisms of BVR under physiological conditions and during simulated drug-induced repolarization prolongation, mimicking long-QT syndromes type 1, 2, and 3. We developed stochastic implementations of 13 major ionic currents and fluxes in a model of canine ventricular-myocyte electrophysiology. Combined stochastic gating of these components resulted in short- and long-term variability, consistent with experimental data from isolated canine ventricular myocytes. The model indicated that the magnitude of stochastic fluctuations is rate dependent due to the rate dependence of action-potential (AP) duration (APD). This process (the "active" component) and the intrinsic nonlinear relationship between membrane current and APD ("intrinsic component") contribute to the rate dependence of BVR. We identified a major role in physiological BVR for stochastic gating of the persistent Na(+) current (INa) and rapidly activating delayed-rectifier K(+) current (IKr). Inhibition of IKr or augmentation of INa significantly increased BVR, whereas subsequent β-adrenergic receptor stimulation reduced it, similar to experimental findings in isolated myocytes. In contrast, β-adrenergic stimulation increased BVR in simulated long-QT syndrome type 1. In addition to stochastic channel gating, AP morphology, APD, and beat-to-beat variations in Ca(2+) were found to modulate single-cell BVR. Cell-to-cell coupling decreased BVR and this was more pronounced when a model cell with increased BVR was coupled to a model cell with normal BVR. In conclusion, our results provide new insights into the ionic mechanisms underlying BVR and suggest that BVR reflects multiple potentially proarrhythmic parameters, including increased ion-channel stochasticity, prolonged APD, and abnormal Ca(2+) handling.
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