Markevich Nikolai I, Hoek Jan B
MitoCare Center for Mitochondrial Research, Department of Pathology, Anatomy, and Cell Biology, Thomas Jefferson University, Philadelphia, PA 19107, USA; Institute of Theoretical and Experimental Biophysics, Russian Academy of Sciences, Pushchino, Moscow Region 14290, Russia.
MitoCare Center for Mitochondrial Research, Department of Pathology, Anatomy, and Cell Biology, Thomas Jefferson University, Philadelphia, PA 19107, USA.
Biochim Biophys Acta. 2015 Jun-Jul;1847(6-7):656-79. doi: 10.1016/j.bbabio.2015.04.005. Epub 2015 Apr 11.
A computational mechanistic model of superoxide (O2•-) formation in the mitochondrial electron transport chain (ETC) was developed to facilitate the quantitative analysis of factors controlling mitochondrial O2•- production and assist in the interpretation of experimental studies. The model takes into account all individual electron transfer reactions in Complexes I and III. The model accounts for multiple, often seemingly contradictory observations on the effects of ΔΨ and ΔpH, and for the effects of multiple substrate and inhibitor conditions, including differential effects of Complex III inhibitors antimycin A, myxothiazol and stigmatellin. Simulation results confirm that, in addition to O2•- formation in Complex III and at the flavin site of Complex I, the quinone binding site of Complex I is an additional superoxide generating site that accounts for experimental observations on O2•- production during reverse electron transfer. However, our simulation results predict that, when cytochrome c oxidase is inhibited during oxidation of succinate, ROS production at this site is eliminated and almost all superoxide in Complex I is generated by reduced FMN, even when the redox pressure for reverse electron transfer from succinate is strong. In addition, the model indicates that conflicting literature data on the kinetics of electron transfer in Complex III involving the iron-sulfur protein-cytochrome bL complex can be resolved in favor of a dissociation of the protein only after electron transfer to cytochrome bH. The model predictions can be helpful in understanding factors driving mitochondrial superoxide formation in intact cells and tissues.
开发了一种线粒体电子传递链(ETC)中超氧化物(O2•-)形成的计算机制模型,以促进对控制线粒体O2•-产生的因素进行定量分析,并协助解释实验研究。该模型考虑了复合物I和III中的所有单个电子转移反应。该模型解释了关于ΔΨ和ΔpH影响的多个、通常看似矛盾的观察结果,以及多种底物和抑制剂条件的影响,包括复合物III抑制剂抗霉素A、粘噻唑和柱晶白霉素的差异效应。模拟结果证实,除了在复合物III中以及复合物I的黄素位点形成O2•-外,复合物I的醌结合位点是另一个超氧化物产生位点,这解释了关于反向电子转移过程中O2•-产生的实验观察结果。然而,我们的模拟结果预测,当在琥珀酸氧化过程中细胞色素c氧化酶被抑制时,该位点的ROS产生被消除,复合物I中几乎所有超氧化物均由还原型FMN产生,即使从琥珀酸进行反向电子转移的氧化还原压力很强时也是如此。此外,该模型表明,关于复合物III中涉及铁硫蛋白 - 细胞色素bL复合物的电子转移动力学的相互矛盾的文献数据,只有在电子转移到细胞色素bH之后,才能通过支持蛋白质解离来解决。该模型预测有助于理解完整细胞和组织中线粒体超氧化物形成的驱动因素。