Martin G, Chauvin M F, Dugelay S, Baverel G
Centre d'Etudes Métaboliques par Spectroscopie de Résonance Magnétique (CNRS EP 18), Hôpital Edouard Herriot, Lyon, France.
J Biol Chem. 1994 Oct 21;269(42):26034-9.
We present a mathematical model for calculating most reaction rates of glycolysis, gluconeogenesis and citric acid cycle in mammalian cells. The model also includes cycles such as the "phosphoenolpyruvate (PEP)-->pyruvate-->oxaloacetate-->PEP" cycle and the "pyruvate-->acetyl-CoA-->citrate-->citric acid cycle-->oxaloacetate-->PEP--> pyruvate" cycle. The model, which does not require steady state conditions, is based on a set of equations, each one describing the fates of a given carbon of a selected intermediate. These fates are expressed as ratios of integrated transfer of this carbon to corresponding carbons in subsequent metabolites. At each bifurcation, the sum of all proportions adds up to 1. Among several calculation routes to determine a proportion value, we chose the one that was based on the most reliable parameter determined experimentally. The data introduced in the model are the micrograms of atom of traced carbon measured on each carbon of a number of products (corrected for natural tracer abundance). These incorporations can be measured by 13C NMR, gas chromatography-mass spectroscopy, or 14C counting. Thanks to its flexibility, this model can be applied to data obtained with substrates other than glucose under many experimental conditions.
我们提出了一个数学模型,用于计算哺乳动物细胞中糖酵解、糖异生和柠檬酸循环的大多数反应速率。该模型还包括诸如“磷酸烯醇式丙酮酸(PEP)→丙酮酸→草酰乙酸→PEP”循环和“丙酮酸→乙酰辅酶A→柠檬酸→柠檬酸循环→草酰乙酸→PEP→丙酮酸”循环等循环。该模型不需要稳态条件,基于一组方程,每个方程描述所选中间体中给定碳原子的去向。这些去向表示为该碳原子向后续代谢物中相应碳原子的整合转移比率。在每个分支点,所有比例之和等于1。在确定比例值的几种计算途径中,我们选择了基于实验确定的最可靠参数的途径。模型中引入的数据是在多种产物的每个碳原子上测得的微量示踪碳(根据天然示踪剂丰度校正)。这些掺入量可以通过13C核磁共振、气相色谱-质谱或14C计数来测量。由于其灵活性,该模型可应用于在许多实验条件下用除葡萄糖以外的底物获得的数据。