Department of Medicine (Cardiology), David Geffen School of Medicine, University of California, Los Angeles, California, USA.
Biophys J. 2011 Nov 2;101(9):2102-11. doi: 10.1016/j.bpj.2011.09.038. Epub 2011 Nov 1.
It has been shown that transient single mitochondrial depolarizations, known as flickers, tend to occur randomly in space and time. On the other hand, many studies have shown that mitochondrial depolarization waves and whole-cell oscillations occur under oxidative stress. How single mitochondrial flickering events and whole-cell oscillations are mechanistically linked remains unclear. In this study, we developed a Markov model of the inner membrane anion channel in which reactive-oxidative-species (ROS)-induced opening of the inner membrane anion channel causes transient mitochondrial depolarizations in a single mitochondrion that occur in a nonperiodic manner, simulating flickering. We then coupled the individual mitochondria into a network, in which flickers occur randomly and sparsely when a small number of mitochondria are in the state of high superoxide production. As the number of mitochondria in the high-superoxide-production state increases, short-lived or abortive waves due to ROS-induced ROS release coexist with flickers. When the number of mitochondria in the high-superoxide-production state reaches a critical number, recurring propagating waves are observed. The origins of the waves occur randomly in space and are self-organized as a consequence of random flickering and local synchronization. We show that at this critical state, the depolarization clusters exhibit a power-law distribution, a signature of self-organized criticality. In addition, the whole-cell mitochondrial membrane potential changes from exhibiting small random fluctuations to more periodic oscillations as the superoxide production rate increases. These simulation results may provide mechanistic insight into the transition from random mitochondrial flickering to the waves and whole-cell oscillations observed in many experimental studies.
已经表明,短暂的单个线粒体去极化,称为闪烁,往往随机发生在空间和时间。另一方面,许多研究表明,线粒体去极化波和整个细胞振荡发生在氧化应激下。单个线粒体闪烁事件和整个细胞振荡如何在机制上联系在一起尚不清楚。在这项研究中,我们开发了一个内膜阴离子通道的马尔可夫模型,其中活性氧(ROS)诱导的内膜阴离子通道的开放导致单个线粒体中的瞬时线粒体去极化以非周期性的方式发生,模拟闪烁。然后,我们将单个线粒体耦合到一个网络中,当少量线粒体处于高超氧化物产生状态时,闪烁会随机且稀疏地发生。随着处于高超氧化物产生状态的线粒体数量的增加,由于 ROS 诱导的 ROS 释放引起的短暂或中断波与闪烁共存。当处于高超氧化物产生状态的线粒体数量达到临界数量时,会观察到反复传播的波。波的起源在空间上是随机的,是随机闪烁和局部同步的结果。我们表明,在这个临界状态下,去极化簇表现出幂律分布,这是自组织临界性的特征。此外,随着超氧化物产生速率的增加,整个细胞线粒体膜电位的变化从表现出小的随机波动转变为更周期性的振荡。这些模拟结果可能为从随机线粒体闪烁到许多实验研究中观察到的波和整个细胞振荡的转变提供机制上的见解。