Kurz Felix T, Derungs Thomas, Aon Miguel A, O'Rourke Brian, Armoundas Antonis A
Massachusetts General Hospital, Cardiovascular Research Center, Harvard Medical School, Charlestown, Massachusetts; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany; Department of Cardiology, Charité Universitätsmedizin Berlin, Berlin, Germany.
Massachusetts General Hospital, Cardiovascular Research Center, Harvard Medical School, Charlestown, Massachusetts; Experimental and Clinical Research Center, Max-Delbrück Center for Molecular Medicine and Charité Universitätsmedizin Berlin, Berlin, Germany.
Biophys J. 2015 Apr 21;108(8):1922-33. doi: 10.1016/j.bpj.2015.01.040.
Oscillatory behavior of mitochondrial inner membrane potential (ΔΨm) is commonly observed in cells subjected to oxidative or metabolic stress. In cardiac myocytes, the activation of inner membrane pores by reactive oxygen species (ROS) is a major factor mediating intermitochondrial coupling, and ROS-induced ROS release has been shown to underlie propagated waves of ΔΨm depolarization as well as synchronized limit cycle oscillations of ΔΨm in the network. The functional impact of ΔΨm instability on cardiac electrophysiology, Ca(2+) handling, and even cell survival, is strongly affected by the extent of such intermitochondrial coupling. Here, we employ a recently developed wavelet-based analytical approach to examine how different substrates affect mitochondrial coupling in cardiac cells, and we also determine the oscillatory coupling properties of mitochondria in ventricular cells in intact perfused hearts. The results show that the frequency of ΔΨm oscillations varies inversely with the size of the oscillating mitochondrial cluster, and depends on the strength of local intermitochondrial coupling. Time-varying coupling constants could be quantitatively determined by applying a stochastic phase model based on extension of the well-known Kuramoto model for networks of coupled oscillators. Cluster size-frequency relationships varied with different substrates, as did mitochondrial coupling constants, which were significantly larger for glucose (7.78 × 10(-2) ± 0.98 × 10(-2) s(-1)) and pyruvate (7.49 × 10(-2) ± 1.65 × 10(-2) s(-1)) than lactate (4.83 × 10(-2) ± 1.25 × 10(-2) s(-1)) or β-hydroxybutyrate (4.11 × 10(-2) ± 0.62 × 10(-2) s(-1)). The findings indicate that mitochondrial spatiotemporal coupling and oscillatory behavior is influenced by substrate selection, perhaps through differing effects on ROS/redox balance. In particular, glucose-perfusion generates strong intermitochondrial coupling and temporal oscillatory stability. Pathological changes in specific catabolic pathways, which are known to occur during the progression of cardiovascular disease, could therefore contribute to altered sensitivity of the mitochondrial network to oxidative stress and emergent ΔΨm instability, ultimately scaling to produce organ level dysfunction.
线粒体膜电位(ΔΨm)的振荡行为通常在遭受氧化或代谢应激的细胞中观察到。在心肌细胞中,活性氧(ROS)激活内膜孔是介导线粒体间偶联的主要因素,并且ROS诱导的ROS释放已被证明是ΔΨm去极化传播波以及网络中ΔΨm同步极限环振荡的基础。ΔΨm不稳定性对心脏电生理学、Ca(2+)处理甚至细胞存活的功能影响,受到这种线粒体间偶联程度的强烈影响。在这里,我们采用最近开发的基于小波的分析方法来研究不同底物如何影响心脏细胞中的线粒体偶联,并且我们还确定完整灌注心脏中心室细胞中线粒体的振荡偶联特性。结果表明,ΔΨm振荡频率与振荡线粒体簇的大小成反比,并且取决于局部线粒体间偶联的强度。通过应用基于耦合振荡器网络的著名Kuramoto模型扩展的随机相位模型,可以定量确定时变耦合常数。簇大小 - 频率关系随不同底物而变化,线粒体耦合常数也是如此,葡萄糖(7.78×10(-2)±0.98×10(-2) s(-1))和丙酮酸(7.49×10(-2)±1.65×10(-2) s(-1))的耦合常数明显大于乳酸(4.83×10(-2)±1.25×10(-2) s(-1))或β-羟基丁酸(4.11×10(-2)±0.62×10(-2) s(-1))。这些发现表明线粒体的时空偶联和振荡行为受底物选择的影响,可能是通过对ROS/氧化还原平衡的不同影响。特别是,葡萄糖灌注产生强烈的线粒体间偶联和时间振荡稳定性。因此,已知在心血管疾病进展过程中发生的特定分解代谢途径的病理变化,可能导致线粒体网络对氧化应激的敏感性改变和出现的ΔΨm不稳定性,最终扩展到产生器官水平的功能障碍。