ArticlePLoS computational biology2013
Determinants of beat-to-beat variability of repolarization duration in the canine ventricular myocyte: a computational analysis.
Article in PLoS computational biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.
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Who cites it
51 citing papers in PubMed.
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- Population Modeling Approach for Human Cardiac Arrhythmia Risk Prediction.Circulation. Arrhythmia and electrophysiology · 2026Article
- Arrhythmogenic Risk in iPSC-Derived Cardiomyocytes: Current Limitations and Therapeutic Perspectives.Medicina (Kaunas, Lithuania) · 2025Review
- Role of dynamical instability in QT interval variability and early afterdepolarization propensity.Biophysical journal · 2025Article
- NaInternational journal of cardiology. Heart & vasculature · 2025Article
- Dynamical instability is a major cause of cardiac action potential variability.Biophysical journal · 2025Article
- Parameter inference for stochastic reaction models of ion channel gating from whole-cell voltage-clamp data.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025Article
- Mechanisms of Chemical Atrial Defibrillation by Flecainide and Ibutilide.JACC. Clinical electrophysiology · 2024Article
- Computational modeling of cardiac electrophysiology and arrhythmogenesis: toward clinical translation.Physiological reviews · 2024Review
- Long-term changes in heart rate and electrical remodeling contribute to alternans formation in heart failure: a patient-specific in silico study.American journal of physiology. Heart and circulatory physiology · 2023Article
- In silico analysis of the dynamic regulation of cardiac electrophysiology by KThe Journal of physiology · 2023Article
- A dynamic clamping approach using in silico IK1 current for discrimination of chamber-specific hiPSC-derived cardiomyocytes.Communications biology · 2023Article
- Synchronization of spatially discordant voltage and calcium alternans in cardiac tissue.Physical review. E · 2022Article
- What is ventricular fibrillation?Heart rhythm · 2022Article
- Stress-induced premature senescence is associated with a prolonged QT interval and recapitulates features of cardiac aging.Theranostics · 2022Article
- Ventricular Arrhythmias in Ischemic Cardiomyopathy-New Avenues for Mechanism-Guided Treatment.Cells · 2021Review
- Measures of repolarization variability predict ventricular arrhythmogenesis in heptanol-treated Langendorff-perfused mouse hearts.Current research in physiology · 2021Article
- Structural and Electrophysiological Changes in a Model of Cardiotoxicity Induced by Anthracycline Combined With Trastuzumab.Frontiers in physiology · 2021Article
- Mechanical Communication Acts as a Noise Filter.iScience · 2019Article
- Mechanisms Underlying Interactions Between Low-Frequency Oscillations and Beat-to-Beat Variability of Celullar Ventricular Repolarization in Response to Sympathetic Stimulation: Implications for Arrhythmogenesis.Frontiers in physiology · 2019Article
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7 authors.
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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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