Pumir Alain, Arutunyan Ara, Krinsky Valentin, Sarvazyan Narine
Institut Non-Lineaire de Nice, Valbonne, France.
Biophys J. 2005 Oct;89(4):2332-49. doi: 10.1529/biophysj.105.061820. Epub 2005 Jul 29.
Many arrhythmias are believed to be triggered by ectopic sources arising from the border of the ischemic tissue. However, the development of ectopic activity from individual sources to a larger mass of cardiac tissue remains poorly understood. To address this critical issue, we used monolayers of neonatal rat cardiomyocytes to create conditions that promoted progression of ectopic activity from single cells to the network that consisted of hundreds of cells. To explain complex spatiotemporal patterns observed in these experiments we introduced a new theoretical framework. The framework's main feature is a parameter space diagram, which uses cell automaticity and coupling as two coordinates. The diagram allows one to depict network behavior, quantitatively address the heterogeneity factor, and evaluate transitions between different regimes. The well-organized wave trains were observed at moderate and high cell coupling values and network heterogeneity was found to be qualitatively unimportant for these regimes. In contrast, at lower values of coupling, spontaneous ectopic activity led to the appearance of fragmented ectopic waves. For these regimes, network heterogeneity played an essential role. The ectopic waves occasionally gave rise to spiral activity in two different regions within the parameter space via two distinct mechanisms. Together, our results suggest that localized ectopic waves represent an essential step in the progression of ectopic activity. These studies add to the understanding of initiation and progression of arrhythmias and can be applied to other phenomena that deal with assemblies of coupled oscillators.
许多心律失常被认为是由缺血组织边界产生的异位起搏点触发的。然而,从单个起搏点到更大块心脏组织的异位活动发展过程仍知之甚少。为了解决这个关键问题,我们使用新生大鼠心肌细胞单层来创造条件,促进异位活动从单个细胞发展到由数百个细胞组成的网络。为了解释在这些实验中观察到的复杂时空模式,我们引入了一个新的理论框架。该框架的主要特征是一个参数空间图,它将细胞自律性和耦合作为两个坐标。该图允许人们描绘网络行为,定量解决异质性因素,并评估不同状态之间的转变。在中等和高细胞耦合值时观察到组织良好的波列,并且发现网络异质性在这些状态下在定性上并不重要。相比之下,在较低的耦合值下,自发异位活动导致出现碎片化的异位波。对于这些状态,网络异质性起着至关重要的作用。异位波偶尔通过两种不同机制在参数空间内的两个不同区域产生螺旋活动。总之,我们的结果表明,局部异位波代表了异位活动进展中的一个重要步骤。这些研究有助于加深对心律失常发生和进展的理解,并可应用于处理耦合振荡器集合的其他现象。