Zhang Xiao-Dong, Thai Phung N, Lieu Deborah K, Chiamvimonvat Nipavan
Division of Cardiovascular Medicine, Department of Internal Medicine, School of Medicine, University of California, Davis, Davis, CA, 95616, USA.
Department of Veterans Affairs, Veterans Affairs Northern California Health Care System, Mather, CA, 95655, USA.
Curr Cardiol Rep. 2021 May 29;23(6):72. doi: 10.1007/s11886-021-01498-z.
Cardiac cell-based therapy represents a promising approach for cardiac repair. However, one of the main challenges is cardiac arrhythmias associated with stem cell transplantation. The current review summarizes the recent progress in model systems for addressing mechanisms of arrhythmogenesis in cardiac repair.
Animal models have been extensively developed for mechanistic studies of cardiac arrhythmogenesis. Advances in human induced pluripotent stem cells (hiPSCs), patient-specific disease models, tissue engineering, and gene editing have greatly enhanced our ability to probe the mechanistic bases of cardiac arrhythmias. Additionally, recent development in multiscale computational studies and machine learning provides yet another powerful tool to quantitatively decipher the mechanisms of cardiac arrhythmias. Advancing efforts towards the integrations of experimental and computational studies are critical to gain insights into novel mitigation strategies for cardiac arrhythmias in cell-based therapy.
基于心脏细胞的治疗是一种有前景的心脏修复方法。然而，主要挑战之一是与干细胞移植相关的心律失常。本综述总结了用于研究心脏修复中致心律失常机制的模型系统的最新进展。
已广泛开发动物模型用于心律失常发生机制的研究。人类诱导多能干细胞（hiPSC）、患者特异性疾病模型、组织工程和基因编辑方面的进展极大地增强了我们探究心律失常机制基础的能力。此外，多尺度计算研究和机器学习的最新发展提供了另一种强大工具，用于定量解读心律失常的机制。推进实验研究与计算研究整合的工作对于深入了解基于细胞治疗中心律失常的新型缓解策略至关重要。
