Chalhoub Elie, Hanson Richard W, Belovich Joanne M
Dept. of Chemical and Biomedical Engineering, Cleveland State Univ., 2121 Euclid Ave., Cleveland, OH 44115-2425, USA.
Am J Physiol Endocrinol Metab. 2007 Dec;293(6):E1676-86. doi: 10.1152/ajpendo.00161.2007. Epub 2007 Oct 2.
A mathematical model of the perfused rat liver was developed to predict intermediate metabolite concentrations and fluxes in response to changes in various substrate concentrations in the perfusion medium. The model simulates gluconeogenesis in the liver perfused separately with lactate and pyruvate and the combination of these substrates with fatty acids (oleate). The model consists of key reactions representing gluconeogenesis, glycolysis, fatty acid metabolism, tricarboxylic acid cycle, oxidative phosphorylation, and ketogenesis. Michaelis-Menten-type kinetic expressions, with control by ATP/ADP, are used for many of the reactions. For key regulated reactions (fructose-1,6-bisphosphatase, phosphofructokinase, pyruvate carboxylase, pyruvate dehydrogenase complex, and pyruvate kinase), rate expressions were developed that incorporate allosteric effectors, specific substrate relationships (e.g., cooperative binding), and/or phosphorylation/dephosphorylation using in vitro enzyme activity data and knowledge of the specific mechanisms. The model was independently validated by comparing model predictions with 10 sets of experimental data from 7 different published works, with no parameter adjustments. The simulations predict the same trends, in terms of stimulation of substrate uptake by fatty acid addition, as observed experimentally. In general, the major metabolic indicators calculated by the model are in good agreement with experimental results. For example, the simulated glucose/pyruvate mass yield is 43% compared with the average of 45% reported in the literature. The model accurately predicts the specific time constants of the glucose response (2.5-4 min) and the dynamic behavior of substrate and product fluxes. It is expected that this model will be a useful tool for analyzing the complex relationships between carbohydrate and fat metabolism.
建立了灌注大鼠肝脏的数学模型,以预测中间代谢物浓度和通量对灌注培养基中各种底物浓度变化的响应。该模型模拟了分别用乳酸和丙酮酸灌注的肝脏中的糖异生作用,以及这些底物与脂肪酸(油酸)的组合。该模型由代表糖异生、糖酵解、脂肪酸代谢、三羧酸循环、氧化磷酸化和酮体生成的关键反应组成。许多反应使用米氏动力学表达式,并受ATP/ADP控制。对于关键的调节反应(果糖-1,6-二磷酸酶、磷酸果糖激酶、丙酮酸羧化酶、丙酮酸脱氢酶复合体和丙酮酸激酶),利用体外酶活性数据和特定机制的知识,开发了包含变构效应物、特定底物关系(如协同结合)和/或磷酸化/去磷酸化的速率表达式。通过将模型预测与来自7篇不同已发表文献的10组实验数据进行比较,在不调整参数的情况下对模型进行了独立验证。模拟结果预测了脂肪酸添加刺激底物摄取方面与实验观察到的相同趋势。总体而言,模型计算的主要代谢指标与实验结果吻合良好。例如,模拟的葡萄糖/丙酮酸质量产率为43%,而文献报道的平均值为45%。该模型准确预测了葡萄糖响应的特定时间常数(2.5-4分钟)以及底物和产物通量的动态行为。预计该模型将成为分析碳水化合物和脂肪代谢之间复杂关系的有用工具。