Rappel Wouter-Jan
Department of Physics, University of California San Diego, La Jolla, CA 92037.
Phys Rep. 2022 Sep 19;978:1-45. doi: 10.1016/j.physrep.2022.06.003. Epub 2022 Jul 6.
The global burden caused by cardiovascular disease is substantial, with heart disease representing the most common cause of death around the world. There remains a need to develop better mechanistic models of cardiac function in order to combat this health concern. Heart rhythm disorders, or arrhythmias, are one particular type of disease which has been amenable to quantitative investigation. Here we review the application of quantitative methodologies to explore dynamical questions pertaining to arrhythmias. We begin by describing single-cell models of cardiac myocytes, from which two and three dimensional models can be constructed. Special focus is placed on results relating to pattern formation across these spatially-distributed systems, especially the formation of spiral waves of activation. Next, we discuss mechanisms which can lead to the initiation of arrhythmias, focusing on the dynamical state of spatially discordant alternans, and outline proposed mechanisms perpetuating arrhythmias such as fibrillation. We then review experimental and clinical results related to the spatio-temporal mapping of heart rhythm disorders. Finally, we describe treatment options for heart rhythm disorders and demonstrate how statistical physics tools can provide insights into the dynamics of heart rhythm disorders.
心血管疾病造成的全球负担十分巨大,心脏病是全球最常见的死因。为应对这一健康问题,仍需要开发更好的心脏功能机制模型。心律紊乱,即心律失常,是一种特别适合进行定量研究的疾病类型。在此,我们回顾定量方法在探索与心律失常相关的动力学问题中的应用。我们首先描述心肌细胞的单细胞模型,基于该模型可以构建二维和三维模型。特别关注与这些空间分布系统中模式形成相关的结果,尤其是激活螺旋波的形成。接下来,我们讨论可导致心律失常发作的机制,重点关注空间不协调交替的动态状态,并概述诸如颤动等使心律失常持续存在的拟议机制。然后,我们回顾与心律紊乱的时空映射相关的实验和临床结果。最后,我们描述心律紊乱的治疗选择,并展示统计物理工具如何为心律紊乱的动力学提供见解。