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Dynamic Simulation of Mitochondrial Respiration and Oxidative Phosphorylation: Comparison with Experimental Results

机译:线粒体呼吸和氧化磷酸化的动态模拟:与实验结果的比较

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Hypoxia hampers ATP production and threatens cell survival. Since cellular energetics tightly controls cell responses and fate, ATP levels and dynamics are of utmost importance. An integrated mathematical model of ATP synthesis by the mitochondrial oxidative phosphorylation/electron transfer chain system has been recently published (Beard, PLoS Comput Biol l(4):e36, 2005). This model was validated under static conditions. To evaluate its performance under dynamical situations, we implemented and simulated it (Simulink~R, The Mathworks). Inner membrane potential (ΔΨ) and [NADH] (feeding the electron transfer chain) were used as indicators of mitochondrial function. Root mean squared error (rmse) was used to compare simulations and experiments (isolated cardiac mitochondria, Bose et al. J Biol Chem 278(40):39155-39165, 2003). Steady-state experimental data were reproduced within 2-6%. Model dynamics were evaluated under: (i) baseline, (ii) activation of NADH production, (iii) addition of ADP, (iv) addition of inorganic phosphate, (v) oxygen exhaustion. In all phases, except the last one, ΔΨ and [NADH] as well as oxygen consumption, were reproduced (within 10, 7 and 12%, respectively). Under anoxia, simulated ΔΨ markedly depolarized (no change in experiments). In conclusion, the model reproduces dynamic data as long as oxygen is present. Anticipated improvement by the inclusion of ATP consumption and explicit Krebs cycle are under evaluation.
机译:缺氧会阻碍ATP的产生并威胁细胞存活。由于细胞能量学严格控制细胞反应和命运,因此ATP水平和动力学至关重要。最近已经公开了通过线粒体氧化磷酸化/电子转移链系统的ATP合成的综合数学模型(Beard,PLoS Comput Biol 11(4):e36,2005)。该模型在静态条件下得到验证。为了评估其在动态情况下的性能,我们对其进行了实现和仿真(Simulink〜R,Mathworks)。内膜电位(ΔΨ)和[NADH](馈入电子转移链)用作线粒体功能的指标。均方根误差(rmse)用于比较模拟和实验(分离的心脏线粒体,Bose等人,J Biol Chem 278(40):39155-39165,2003)。稳态实验数据在2%到6%范围内再现。在以下条件下评估模型动力学:(i)基线,(ii)激活NADH的产生,(iii)添加ADP,(iv)添加无机磷酸盐,(v)氧耗竭。除最后一个阶段外,所有阶段均重现ΔΨ和[NADH]以及耗氧量(分别在10%,7%和12%之内)。在缺氧条件下,模拟的ΔΨ明显去极化(实验中没有变化)。总之,只要有氧气存在,该模型就可以再现动态数据。通过评估ATP的消耗和明确的克雷布斯循环,可以预期得到改善。

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