神经元束膜网的冲击损伤机制
Shock Induced Damage Mechanism Of Perineuronal Net
摘要：
ECM成分，如神经元周围网（PNN），是神经元细胞周围最常见的部分之一。PNN是一种保护性网状结构，调节神经元活动，如神经传递、电荷平衡并产生动作电位。电击引起的这一重要成分的损伤可能导致神经元细胞死亡，并可能导致CTE，AD疾病，PTSD等。事故，即兴装置爆炸或NFL球员之间的碰撞可能会导致这一安全网的损坏。目的是研究PNN在冲击波作用下的机理。为了了解PNN的力学，需要评估不同PNN组分（如聚糖、GAG和蛋白质）的力学性质。在这项研究中，我们评估了PNN分子的机械强度和PNN组分之间的界面强度。之后，我们评估了PNN分子在各种条件下的破坏效率，如冲击波速度，预先存在的气泡，和边界条件。分析了PNN蛋白质分子的二级结构变化，以评估在不同冲击载荷下的损伤强度。在更高的冲击速度下，损伤强度更高，并且透明质酸最有可能在刚性连接处断裂。蛋白质分子的一级结构最不可能失效。相反，分子的二级键将被改变。我们的研究表明，在冲击波传播过程中的氢键的数量减少。
英文摘要：
ECM components, such as the Perineuronal net (PNN), one of the most prevalent parts surrounding the neuronal cell. PNN is a protective net-like structure regulating neuronal activity such as neurotransmission, charge balance and generates an action potential. Shock induced damage of this essential component may cause neuronal cell death and potentially leads to CTE, AD diseases, PTSD, etc. The shock generated possibly during an accident, improvised devie explosion or collision between NFL players may lead to damage to this safety net. The goal is to investigate the mechanics of PNN under shock wave. To understand the mechanics of PNN, mechanical properties of different PNN components such as glycan, GAG, and protein need to be evaluated. In this study, we evaluated the mechanical strength of PNN molecules and the interfacial strength between the components of PNN. Afterward, we have assessed the PNN molecules' damage efficiency at various conditions such as shock speed, preexisting bubble, and boundary conditions. The secondary structure altercation of the protein molecules of the PNN has been analyzed to evaluate damage intensity under varying shock loading. At higher shock speed, damage intensity is more elevated, and hyaluronan is most likely to break at the rigid junction. The primary structure of the protein molecules is most unlikely to fail. Instead, the molecules' secondary bonds will be altered. Our study suggests that the number of hydrogen bonds during the shock wave propagation decreased.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
