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Slow Conduction in the Border Zones of Patchy Fibrosis Stabilizes the Drivers for Atrial Fibrillation: Insights from Multi-Scale Human Atrial Modeling

机译:斑块状纤维化边界区的缓慢传导稳定心房颤动的驱动因素:来自多尺度人体心房建模的见解

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摘要

Introduction: The genesis of atrial fibrillation (AF) and success of AF ablation therapy have been strongly linked with atrial fibrosis. Increasing evidence suggests that patient-specific distributions of fibrosis may determine the locations of electrical drivers (rotors) sustaining AF, but the underlying mechanisms are incompletely understood. This study aims to elucidate a missing mechanistic link between patient-specific fibrosis distributions and AF drivers. Methods: 3D atrial models integrated human atrial geometry, rule-based fiber orientation, region-specific electrophysiology, and AF-induced ionic remodeling. A novel detailed model for an atrial fibroblast was developed, and effects of myocyte-fibroblast (M-F) coupling were explored at single-cell, 1D tissue and 3D atria levels. Left atrial LGE MRI datasets from 3 chronic AF patients were segmented to provide the patient-specific distributions of fibrosis. The data was non-linearly registered and mapped to the 3D atria model. Six distinctive fibrosis levels (0–healthy tissue, 5–dense fibrosis) were identified based on LGE MRI intensity and modeled as progressively increasing M-F coupling and decreasing atrial tissue coupling. Uniform 3D atrial model with diffuse (level 2) fibrosis was considered for comparison. Results: In single cells and tissue, the largest effect of atrial M-F coupling was on the myocyte resting membrane potential, leading to partial inactivation of sodium current and reduction of conduction velocity (CV). In the 3D atria, further to the M-F coupling, effects of fibrosis on tissue coupling greatly reduce atrial CV. AF was initiated by fast pacing in each 3D model with either uniform or patient-specific fibrosis. High variation in fibrosis distributions between the models resulted in varying complexity of AF, with several drivers emerging. In the diffuse fibrosis models, waves randomly meandered through the atria, whereas in each the patient-specific models, rotors stabilized in fibrotic regions. The rotors propagated slowly around the border zones of patchy fibrosis (levels 3–4), failing to spread into inner areas of dense fibrosis. Conclusion: Rotors stabilize in the border zones of patchy fibrosis in 3D atria, where slow conduction enable the development of circuits within relatively small regions. Our results can provide a mechanistic explanation for the clinical efficacy of ablation around fibrotic regions.
机译:简介:心房纤颤(AF)的起源和房颤消融治疗的成功与房纤维化密切相关。越来越多的证据表明,患者特定的纤维化分布可能决定维持房颤的电驱动器(转子)的位置,但其潜在机制尚不完全清楚。这项研究旨在阐明特定于患者的纤维化分布与房颤驱动者之间缺少的机械联系。方法:3D心房模型整合了人的心房几何形状,基于规则的纤维方向,特定区域的电生理学以及AF引起的离子重塑。开发了一种新的详细的心房成纤维细胞模型,并在单细胞,1D组织和3D心房水平上探讨了肌细胞-成纤维细胞(M-F)耦合的作用。对来自3位慢性AF患者的左心房LGE MRI数据集进行了细分,以提供特定于患者的纤维化分布。数据被非线性配准并映射到3D心房模型。根据LGE MRI强度确定了六个独特的纤维化水平(0-健康组织,5-致密纤维化),并建模为逐渐增加的M-F耦合和减少的心房组织耦合。考虑将具有弥散性(2级)纤维化的统一3D心房模型进行比较。结果:在单个细胞和组织中,心房M-F偶联的最大作用是对心肌细胞的静息膜电位,导致钠电流部分失活和传导速度(CV)降低。在3D心房中,除了M-F耦合外,纤维化对组织耦合的影响大大降低了心房CV。在每个3D模型中出现均一或特定于患者的纤维化时,通过快速起搏来启动房颤。模型之间纤维化分布的高度差异导致房颤的复杂性变化,并出现了多种驱动因素。在弥漫性纤维化模型中,波随机蜿蜒穿过心房,而在每个特定于患者的模型中,转子稳定在纤维化区域。转子在斑块状纤维化的边界区域(3-4级)周围缓慢传播,未能扩散到密集纤维化的内部区域。结论:转子稳定在3D心房中斑块状纤维化的边界区域,在该区域中缓慢的传导可在相对较小的区域内形成电路。我们的结果可以为纤维化区域周围消融的临床疗效提供机械解释。

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