Department of Biotechnology, University of Verona, 37134 Verona, Italy.
Institute for Neuroscience and Medicine (INM-9) and Institute for Advanced Simulations (IAS-5), "Computational Biomedicine", Forschungszentrum Jülich, 52428 Jülich, Germany.
Int J Mol Sci. 2021 Feb 3;22(4):1536. doi: 10.3390/ijms22041536.
Inside hippocampal circuits, neuroplasticity events that individual cells may undergo during synaptic transmissions occur in the form of Long-Term Potentiation (LTP) and Long-Term Depression (LTD). The high density of NMDA receptors expressed on the surface of the dendritic CA1 spines confers to hippocampal CA3-CA1 synapses the ability to easily undergo NMDA-mediated LTP and LTD, which is essential for some forms of explicit learning in mammals. Providing a comprehensive kinetic model that can be used for running computer simulations of the synaptic transmission process is currently a major challenge. Here, we propose a compartmentalized kinetic model for CA3-CA1 synaptic transmission. Our major goal was to tune our model in order to predict the functional impact caused by disease associated variants of NMDA receptors related to severe cognitive impairment. Indeed, for variants Glu413Gly and Cys461Phe, our model predicts negative shifts in the glutamate affinity and changes in the kinetic behavior, consistent with experimental data. These results point to the predictive power of this multiscale viewpoint, which aims to integrate the quantitative kinetic description of large interaction networks typical of system biology approaches with a focus on the quality of a few, key, molecular interactions typical of structural biology ones.
在海马体回路中,单个细胞在突触传递过程中可能经历的神经可塑性事件以长时程增强(LTP)和长时程抑制(LTD)的形式发生。树突 CA1 棘突表面表达的 NMDA 受体密度很高,使海马 CA3-CA1 突触能够轻易地发生 NMDA 介导的 LTP 和 LTD,这对于哺乳动物的某些形式的显性学习至关重要。提供一个全面的动力学模型,用于运行突触传递过程的计算机模拟,目前是一个主要挑战。在这里,我们提出了一个 CA3-CA1 突触传递的分区动力学模型。我们的主要目标是调整我们的模型,以便预测与严重认知障碍相关的 NMDA 受体疾病相关变体引起的功能影响。事实上,对于 Glu413Gly 和 Cys461Phe 变体,我们的模型预测谷氨酸亲和力的负偏移和动力学行为的变化,与实验数据一致。这些结果表明了这种多尺度观点的预测能力,该观点旨在将典型系统生物学方法的大相互作用网络的定量动力学描述与对少数关键分子相互作用的质量的关注相结合,这些关键分子相互作用是结构生物学的特征。