Bond graph modelling of chemoelectrical energy transduction
Bond graph modelling of chemoelectrical energy transduction
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DOI：
10.1049/iet-syb.2017.0006
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发表时间：
2017-10-01
影响因子：
2.3
通讯作者：
Crampin, Edmund J.
中科院分区：
文献类型：
--
作者：
Gawthrop, Peter J.;Siekmann, Ivo;Crampin, Edmund J.
基于能量的键合图建模的生物分子系统的扩展，包括化学电转导，从而使集成的化学电系统，特别是可激发膜的顺应性建模。我们的一般方法是通过重新创建一个众所周知的模型的可兴奋膜。该模型用于研究在膜动作电位期间消耗的能量，从而有助于当前关于动作电位事件的速度和能量消耗之间的权衡的辩论。Na+的流入通常被视为能量消耗的代表;相反，本研究提出了一种基于能量的动作电位模型。由于基于能量的方法避免了代理方法的假设，因此可以直接用于计算健康和患病神经元的能量消耗。这些结果通过使用模拟和体外数据比较健康和变性视网膜神经节细胞的能量消耗来说明。
Energy-based bond graph modelling of biomolecular systems is extended to include chemoelectrical transduction thus enabling integrated thermodynamically compliant modelling of chemoelectrical systems in general and excitable membranes in particular. Our general approach is illustrated by recreating a well-known model of an excitable membrane. This model is used to investigate the energy consumed during a membrane action potential thus contributing to the current debate on the trade-off between the speed of an action potential event and energy consumption. The influx of Na+ is often taken as a proxy for energy consumption; in contrast, this study presents an energy-based model of action potentials. As the energy-based approach avoids the assumptions underlying the proxy approach it can be directly used to compute energy consumption in both healthy and diseased neurons. These results are illustrated by comparing the energy consumption of healthy and degenerative retinal ganglion cells using both simulated and in vitro data.