ArticlePLoS computational biology2016
Atrial Heterogeneity Generates Re-entrant Substrate during Atrial Fibrillation and Anti-arrhythmic Drug Action: Mechanistic Insights from Canine Atrial Models.
Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.
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Who cites it
34 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.
- The transcriptional landscape of atrial fibrillation: A systematic review and meta-analysis.PloS one · 2025Pooled it
- Electrogram Transition Patterns During Atrial Antitachycardia Pacing-Mediated Termination.Journal of arrhythmia · 2026Article
- Real-time GPU-accelerated coupled cardiac system: Integrating bidirectional interactions between living optogenetic monolayers and computational simulations.PLoS computational biology · 2026Article
- Spatially heterogeneous ionic remodelling promotes wavefront instability in simulated atrial tissue.Frontiers in network physiology · 2026Article
- Arrhythmogenic Risk in iPSC-Derived Cardiomyocytes: Current Limitations and Therapeutic Perspectives.Medicina (Kaunas, Lithuania) · 2025Review
- Clinical usefulness of digital twin guided virtual amiodarone test in patients with atrial fibrillation ablation.NPJ digital medicine · 2024Article
- Patchy fibrosis promotes trigger-substrate interactions that both generate and maintain atrial fibrillation.Interface focus · 2023Article
- What determines the optimal pharmacological treatment of atrial fibrillation? Insights from in silico trials in 800 virtual atria.The Journal of physiology · 2023Article
- A possible new cardiac heterogeneity as an arrhythmogenic driver.Scientific reports · 2023Article
- Models of the cardiac L-type calcium current: A quantitative review.WIREs mechanisms of disease · 2023Review
- Arrhythmogenic influence of mutations in a myocyte-based computational model of the pulmonary vein sleeve.Scientific reports · 2022Article
- Theoretical Models and Computational Analysis of Action Potential Dispersion for Cardiac Arrhythmia Risk Stratification.Frontiers in cardiovascular medicine · 2021Article
- A survey of pathways for mechano-electric coupling in the atria.Progress in biophysics and molecular biology · 2021Article
- Computational Modeling for Antiarrhythmic Drugs for Atrial Fibrillation According to Genotype.Frontiers in physiology · 2021Article
- Spatial Changes in the Atrial Fibrillation Wave-Dynamics After Using Antiarrhythmic Drugs: A Computational Modeling Study.Frontiers in physiology · 2021Article
- Artificial Intelligence-Driven Algorithm for Drug Effect Prediction on Atrial Fibrillation: AnFrontiers in physiology · 2021Article
- EP-PINNs: Cardiac Electrophysiology Characterisation Using Physics-Informed Neural Networks.Frontiers in cardiovascular medicine · 2021Article
- Identifying locations of re-entrant drivers from patient-specific distribution of fibrosis in the left atrium.PLoS computational biology · 2020Article
- In silico investigation of the mechanisms underlying atrial fibrillation due to impaired Pitx2.PLoS computational biology · 2020Article
- Sensitivity and Uncertainty Analysis of Two Human Atrial Cardiac Cell Models Using Gaussian Process Emulators.Frontiers in physiology · 2020Article
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
Anti-arrhythmic drug therapy is a frontline treatment for atrial fibrillation (AF), but its success rates are highly variable. This is due to incomplete understanding of the mechanisms of action of specific drugs on the atrial substrate at different stages of AF progression. We aimed to elucidate the role of cellular, tissue and organ level atrial heterogeneities in the generation of a re-entrant substrate during AF progression, and their modulation by the acute action of selected anti-arrhythmic drugs. To explore the complex cell-to-organ mechanisms, a detailed biophysical models of the entire 3D canine atria was developed. The model incorporated atrial geometry and fibre orientation from high-resolution micro-computed tomography, region-specific atrial cell electrophysiology and the effects of progressive AF-induced remodelling. The actions of multi-channel class III anti-arrhythmic agents vernakalant and amiodarone were introduced in the model by inhibiting appropriate ionic channel currents according to experimentally reported concentration-response relationships. AF was initiated by applied ectopic pacing in the pulmonary veins, which led to the generation of localized sustained re-entrant waves (rotors), followed by progressive wave breakdown and rotor multiplication in both atria. The simulated AF scenarios were in agreement with observations in canine models and patients. The 3D atrial simulations revealed that a re-entrant substrate was typically provided by tissue regions of high heterogeneity of action potential duration (APD). Amiodarone increased atrial APD and reduced APD heterogeneity and was more effective in terminating AF than vernakalant, which increased both APD and APD dispersion. In summary, the initiation and sustenance of rotors in AF is linked to atrial APD heterogeneity and APD reduction due to progressive remodelling. Our results suggest that anti-arrhythmic strategies that increase atrial APD without increasing its dispersion are effective in terminating AF.
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Registered trials
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