Sánchez Carlos, Bueno-Orovio Alfonso, Pueyo Esther, Rodríguez Blanca
Biosignal Interpretation and Computational Simulation (BSICoS), I3A and IIS, University of Zaragoza, Zaragoza, Spain.
Defense University Centre (CUD), General Military Academy of Zaragoza (AGM), Zaragoza, Spain.
Front Bioeng Biotechnol. 2017 May 8;5:29. doi: 10.3389/fbioe.2017.00029. eCollection 2017.
Atrial fibrillation (AF) usually manifests as reentrant circuits propagating through the whole atria creating chaotic activation patterns. Little is yet known about how differences in electrophysiological and ionic properties between patients modulate reentrant patterns in AF. The goal of this study is to quantify how variability in action potential duration (APD) at different stages of repolarization determines AF dynamics and their modulation by ionic block using a set of virtual whole-atria human models. Six human whole-atria models are constructed based on the same anatomical structure and fiber orientation, but with different electrophysiological phenotypes. Membrane kinetics for each whole-atria model are selected with distinct APD characteristics at 20, 50, and 90% repolarization, from an experimentally calibrated population of human atrial action potential models, including AF remodeling and acetylcholine parasympathetic effects. Our simulations show that in all whole-atria models, reentrant circuits tend to organize around the pulmonary veins and the right atrial appendage, thus leading to higher dominant frequency (DF) and more organized activation in the left atrium than in the right atrium. Differences in APD in all phases of repolarization (not only APD) yielded quantitative differences in fibrillation patterns with long APD associated with slower and more regular dynamics. Long APD and APD were associated with increased interatrial conduction block and interatrial differences in DF and organization index, creating reentry instability and self-termination in some cases. Specific inhibitions of I, I, or I reduce DF and organization of the arrhythmia by enlarging wave meandering, reducing the number of secondary wavelets, and promoting interatrial block in all six virtual patients, especially for the phenotypes with short APD at 20, 50, and/or 90% repolarization. This suggests that therapies aiming at prolonging the early phase of repolarization might constitute effective antiarrhythmic strategies for the pharmacological management of AF. In summary, simulations report significant differences in atrial fibrillatory dynamics resulting from differences in APD at all phases of repolarization.
心房颤动(AF)通常表现为折返环在整个心房中传播,产生混乱的激动模式。关于患者之间电生理和离子特性的差异如何调节AF中的折返模式,目前所知甚少。本研究的目的是使用一组虚拟全心房人体模型,量化复极化不同阶段动作电位持续时间(APD)的变异性如何决定AF动态及其受离子阻滞的调节。基于相同的解剖结构和纤维取向构建了六个全心房人体模型,但具有不同的电生理表型。从经过实验校准的人体心房动作电位模型群体中,为每个全心房模型选择具有在复极化20%、50%和90%时不同APD特征的膜动力学,包括AF重塑和乙酰胆碱副交感神经效应。我们的模拟表明,在所有全心房模型中,折返环倾向于围绕肺静脉和右心耳组织,从而导致左心房的主导频率(DF)更高,激动比右心房更有组织。复极化所有阶段(不仅是APD)的APD差异导致颤动模式的定量差异,长APD与较慢且更规则的动态相关。长APD和APD与房间传导阻滞增加以及DF和组织指数的房间差异相关,在某些情况下会导致折返不稳定和自我终止。对I、I或I的特异性抑制通过扩大波的曲折、减少次级小波数量以及促进所有六个虚拟患者的房间阻滞来降低心律失常的DF和组织程度,特别是对于在复极化20%、50%和/或90%时具有短APD的表型。这表明旨在延长复极化早期阶段的治疗可能构成AF药物管理的有效抗心律失常策略。总之,模拟报告了复极化所有阶段APD差异导致的心房颤动动态的显著差异。