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代谢通量分析作为阐明神经递质谷氨酸代谢的一种工具。

Metabolic flux analysis as a tool for the elucidation of the metabolism of neurotransmitter glutamate.

作者信息

Chatziioannou Aristotle, Palaiologos Georgios, Kolisis Fragiskos N

机构信息

Biotechnology Laboratory, School of Chemical Engineering, National Technical University of Athens, Zografou Campus, 15780 Athens, Greece.

出版信息

Metab Eng. 2003 Jul;5(3):201-10. doi: 10.1016/s1096-7176(03)00029-6.

Abstract

A flux analysis model for the metabolism of neurotransmitter glutamate is constructed, in order to study functional aspects of its metabolism. This work is based on the potassium [K(+)] evoked neurotransmitter glutamate released, as measured in a series of experiments of superfused rat or mouse brain preparations. These measurements are combined with data reported, concerning the metabolism of glutamate and its precursors, glutamine and glucose in rat cerebral cells in vivo. The proposed stoichiometry of the specific reaction network renders the model solvable. The classification procedure establishes that the measured fluxes are all balanceable and all non-measured fluxes can be calculated. The system is well posed with a condition number of 7.8536. The results emphasize the importance of phosphate activated glutaminase and aspartate aminotransferase in the metabolism of neurotransmitter glutamate. Reported data on the rate of the malate-aspartate shuttle, as well as the anaplerotic flux of the glial pyruvate carboxylase reaction are in agreement with the estimations calculated from the proposed model.

摘要

构建了一种用于神经递质谷氨酸代谢的通量分析模型,以研究其代谢的功能方面。这项工作基于在一系列灌流大鼠或小鼠脑制备实验中所测量的钾离子(K⁺)诱发的神经递质谷氨酸释放。这些测量结果与已报道的关于谷氨酸及其前体谷氨酰胺和葡萄糖在大鼠脑细胞体内代谢的数据相结合。所提出的特定反应网络的化学计量学使该模型可解。分类程序确定所测量的通量都是可平衡的,并且所有未测量的通量都可以计算出来。该系统条件良好,条件数为7.8536。结果强调了磷酸激活的谷氨酰胺酶和天冬氨酸转氨酶在神经递质谷氨酸代谢中的重要性。所报道的苹果酸 - 天冬氨酸穿梭速率以及神经胶质丙酮酸羧化酶反应的回补通量数据与从所提出的模型计算出的估计值一致。

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