ArticlePloS one2014
Population of computational rabbit-specific ventricular action potential models for investigating sources of variability in cellular repolarisation.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Population Modeling Approach for Human Cardiac Arrhythmia Risk Prediction.Circulation. Arrhythmia and electrophysiology · 2026Article
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- Electrophysiological heterogeneity in large populations of rabbit ventricular cardiomyocytes.Cardiovascular research · 2022Article
- Sensitivity Analysis of Cardiac Alternans and Tachyarrhythmia to Ion Channel Conductance Using Population Modeling.Bioengineering (Basel, Switzerland) · 2022Article
- Biological noise is a key determinant of the reproducibility and adaptability of cardiac pacemaking and EC coupling.The Journal of general physiology · 2022Review
- Generative adversarial networks for construction of virtual populations of mechanistic models: simulations to study Omecamtiv Mecarbil action.Journal of pharmacokinetics and pharmacodynamics · 2022Article
- Sensitivity Analysis of Ion Channel Conductance on Myocardial Electromechanical Delay: Computational Study.Frontiers in physiology · 2021Article
- Computational translation of drug effects from animal experiments to human ventricular myocytes.Scientific reports · 2020Article
- Population-based mechanistic modeling allows for quantitative predictions of drug responses across cell types.NPJ systems biology and applications · 2018Article
- Article
- Editorial: Safety Pharmacology - Risk Assessment QT Interval Prolongation and Beyond.Frontiers in physiology · 2018Article
- Unlocking data sets by calibrating populations of models to data density: A study in atrial electrophysiology.Science advances · 2018Article
- Modelling variability in cardiac electrophysiology: a moment-matching approach.Journal of the Royal Society, Interface · 2017Article
- Sampling methods for exploring between-subject variability in cardiac electrophysiology experiments.Journal of the Royal Society, Interface · 2016Article
- Mechanisms of pro-arrhythmic abnormalities in ventricular repolarisation and anti-arrhythmic therapies in human hypertrophic cardiomyopathy.Journal of molecular and cellular cardiology · 2016Article
- Computational rabbit models to investigate the initiation, perpetuation, and termination of ventricular arrhythmia.Progress in biophysics and molecular biology · 2016Review
- Rabbit-specific computational modelling of ventricular cell electrophysiology: Using populations of models to explore variability in the response to ischemia.Progress in biophysics and molecular biology · 2016Article
- There and back again: Iterating between population-based modeling and experiments reveals surprising regulation of calcium transients in rat cardiac myocytes.Journal of molecular and cellular cardiology · 2016Article
- Variability in cardiac electrophysiology: Using experimentally-calibrated populations of models to move beyond the single virtual physiological human paradigm.Progress in biophysics and molecular biology · 2016Article
- Verification of cardiac mechanics software: benchmark problems and solutions for testing active and passive material behaviour.Proceedings. Mathematical, physical, and engineering sciences · 2015Article
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Authors and funding
4 authors.
Funding
Abstract
Variability is observed at all levels of cardiac electrophysiology. Yet, the underlying causes and importance of this variability are generally unknown, and difficult to investigate with current experimental techniques. The aim of the present study was to generate populations of computational ventricular action potential models that reproduce experimentally observed intercellular variability of repolarisation (represented by action potential duration) and to identify its potential causes. A systematic exploration of the effects of simultaneously varying the magnitude of six transmembrane current conductances (transient outward, rapid and slow delayed rectifier K(+), inward rectifying K(+), L-type Ca(2+), and Na(+)/K(+) pump currents) in two rabbit-specific ventricular action potential models (Shannon et al. and Mahajan et al.) at multiple cycle lengths (400, 600, 1,000 ms) was performed. This was accomplished with distributed computing software specialised for multi-dimensional parameter sweeps and grid execution. An initial population of 15,625 parameter sets was generated for both models at each cycle length. Action potential durations of these populations were compared to experimentally derived ranges for rabbit ventricular myocytes. 1,352 parameter sets for the Shannon model and 779 parameter sets for the Mahajan model yielded action potential duration within the experimental range, demonstrating that a wide array of ionic conductance values can be used to simulate a physiological rabbit ventricular action potential. Furthermore, by using clutter-based dimension reordering, a technique that allows visualisation of multi-dimensional spaces in two dimensions, the interaction of current conductances and their relative importance to the ventricular action potential at different cycle lengths were revealed. Overall, this work represents an important step towards a better understanding of the role that variability in current conductances may play in experimentally observed intercellular variability of rabbit ventricular action potential repolarisation.
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