Literature DB >> 27779762

Differential roles of two delayed rectifier potassium currents in regulation of ventricular action potential duration and arrhythmia susceptibility.

Ryan A Devenyi1, Francis A Ortega2, Willemijn Groenendaal3,4, Trine Krogh-Madsen3, David J Christini2,3, Eric A Sobie1.   

Abstract

KEY POINTS: Arrhythmias result from disruptions to cardiac electrical activity, although the factors that control cellular action potentials are incompletely understood. We combined mathematical modelling with experiments in heart cells from guinea pigs to determine how cellular electrical activity is regulated. A mismatch between modelling predictions and the experimental results allowed us to construct an improved, more predictive mathematical model. The balance between two particular potassium currents dictates how heart cells respond to perturbations and their susceptibility to arrhythmias. ABSTRACT: Imbalances of ionic currents can destabilize the cardiac action potential and potentially trigger lethal cardiac arrhythmias. In the present study, we combined mathematical modelling with information-rich dynamic clamp experiments to determine the regulation of action potential morphology in guinea pig ventricular myocytes. Parameter sensitivity analysis was used to predict how changes in ionic currents alter action potential duration, and these were tested experimentally using dynamic clamp, a technique that allows for multiple perturbations to be tested in each cell. Surprisingly, we found that a leading mathematical model, developed with traditional approaches, systematically underestimated experimental responses to dynamic clamp perturbations. We then re-parameterized the model using a genetic algorithm, which allowed us to estimate ionic current levels in each of the cells studied. This unbiased model adjustment consistently predicted an increase in the rapid delayed rectifier K+ current and a drastic decrease in the slow delayed rectifier K+ current, and this prediction was validated experimentally. Subsequent simulations with the adjusted model generated the clinically relevant prediction that the slow delayed rectifier is better able to stabilize the action potential and suppress pro-arrhythmic events than the rapid delayed rectifier. In summary, iterative coupling of simulations and experiments enabled novel insight into how the balance between cardiac K+ currents influences ventricular arrhythmia susceptibility.
© 2016 The Authors. The Journal of Physiology © 2016 The Physiological Society.

Entities:  

Keywords:  ion channels; mathematical model; patch clamp

Mesh:

Substances:

Year:  2016        PMID: 27779762      PMCID: PMC5374112          DOI: 10.1113/JP273191

Source DB:  PubMed          Journal:  J Physiol        ISSN: 0022-3751            Impact factor:   5.182


  67 in total

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4.  Numerical models based on a minimal set of sarcolemmal electrogenic proteins and an intracellular Ca(2+) clock generate robust, flexible, and energy-efficient cardiac pacemaking.

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5.  Multiscale cardiac modelling reveals the origins of notched T waves in long QT syndrome type 2.

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Review 8.  Perspective: a dynamics-based classification of ventricular arrhythmias.

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10.  Atrial cell action potential parameter fitting using genetic algorithms.

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  22 in total

1.  K+ channels and cardiac electrophysiology.

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Journal:  J Physiol       Date:  2017-04-01       Impact factor: 5.182

2.  Size matters, proportion too: coupling of experiments and theory reveals relative roles of K+ channels in action potential stability.

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4.  β-adrenergic stimulation augments transmural dispersion of repolarization via modulation of delayed rectifier currents IKs and IKr in the human ventricle.

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6.  Prediction of arrhythmia susceptibility through mathematical modeling and machine learning.

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Journal:  Proc Natl Acad Sci U S A       Date:  2021-09-14       Impact factor: 11.205

7.  Slow Delayed Rectifier Current Protects Ventricular Myocytes From Arrhythmic Dynamics Across Multiple Species: A Computational Study.

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8.  Quantitative analysis of variability in an integrated model of human ventricular electrophysiology and β-adrenergic signaling.

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Review 9.  Calibration of ionic and cellular cardiac electrophysiology models.

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Review 10.  Antiarrhythmic mechanisms of beta blocker therapy.

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