State Key Laboratory for Strength and Vibration of Mechanical Structures, Xi'an Jiaotong University, Xi'an 710049, PR China; The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, PR China; Bioinspired Engineering and Biomechanics Center (BEBC), Xi'an Jiaotong University, Xi'an 710049, PR China; State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, PR China.
The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, PR China; Bioinspired Engineering and Biomechanics Center (BEBC), Xi'an Jiaotong University, Xi'an 710049, PR China.
J Mech Behav Biomed Mater. 2019 May;93:213-221. doi: 10.1016/j.jmbbm.2019.02.007. Epub 2019 Feb 5.
Neurons are situated in a microenvironment composed of various mechanical cues, where stretching is thought to have a major impact on neurons, resulting in microstructural changes in neural tissue and further leading to abnormal electrophysiological function. In spite of significant experimental efforts, the underlying mechanism remains elusive, more works are needed to provide a detailed description of the process that leads to the observed phenomena. Here, we developed a mechanoelectrical coupling model of central neurons under stretching and specially considered the plastic deformation of neurons. With the model, we showed that the increasing axial strain induces a decreased membrane action potential and a more frequent neuronal firing, which agree well with experimental observations reported in the literature. The simulation results also showed a faster electrophysiological signal conduction. Our model provides a reference for the prediction and regulation of neuronal function under simplified conditions of mechanical loadings.
神经元位于由各种机械线索组成的微环境中,拉伸被认为对神经元有重大影响,导致神经组织的微观结构发生变化,并进一步导致异常的电生理功能。尽管进行了大量的实验努力,但潜在的机制仍然难以捉摸,需要更多的工作来详细描述导致观察到的现象的过程。在这里,我们开发了一种拉伸下中枢神经元的机电耦合模型,并特别考虑了神经元的塑性变形。通过该模型,我们表明,轴向应变的增加会导致膜动作电位减小和神经元放电更频繁,这与文献中报道的实验观察结果一致。模拟结果还显示出更快的电生理信号传导。我们的模型为在简化的机械载荷条件下预测和调节神经元功能提供了参考。