Jiang Nan, Cox Roger D, Hancock John M
Bioinformatics Group, MRC Mammalian Genetics Unit, Harwell, Oxfordshire, OX11 0RD, UK.
Mamm Genome. 2007 Jul;18(6-7):508-20. doi: 10.1007/s00335-007-9011-y. Epub 2007 May 21.
The construction and characterization of a core kinetic model of the glucose-stimulated insulin secretion system (GSIS) in pancreatic beta cells is described. The model consists of 44 enzymatic reactions, 59 metabolic state variables, and 272 parameters. It integrates five subsystems: glycolysis, the TCA cycle, the respiratory chain, NADH shuttles, and the pyruvate cycle. It also takes into account compartmentalization of the reactions in the cytoplasm and mitochondrial matrix. The model shows expected behavior in its outputs, including the response of ATP production to starting glucose concentration and the induction of oscillations of metabolite concentrations in the glycolytic pathway and in ATP and ADP concentrations. Identification of choke points and parameter sensitivity analysis indicate that the glycolytic pathway, and to a lesser extent the TCA cycle, are critical to the proper behavior of the system, while parameters in other components such as the respiratory chain are less critical. Notably, however, sensitivity analysis identifies the first reactions of nonglycolytic pathways as being important for the behavior of the system. The model is robust to deletion of malic enzyme activity, which is absent in mouse pancreatic beta cells. The model represents a step toward the construction of a model with species-specific parameters that can be used to understand mouse models of diabetes and the relationship of these mouse models to the human disease state.
本文描述了胰腺β细胞中葡萄糖刺激胰岛素分泌系统(GSIS)核心动力学模型的构建与特性。该模型由44个酶促反应、59个代谢状态变量和272个参数组成。它整合了五个子系统:糖酵解、三羧酸循环、呼吸链、NADH穿梭和丙酮酸循环。它还考虑了细胞质和线粒体基质中反应的区室化。该模型在其输出中显示出预期的行为,包括ATP产生对起始葡萄糖浓度的响应以及糖酵解途径中代谢物浓度、ATP和ADP浓度振荡的诱导。阻塞点的识别和参数敏感性分析表明,糖酵解途径以及在较小程度上的三羧酸循环对系统的正常行为至关重要,而呼吸链等其他组分中的参数则不太关键。然而,值得注意的是,敏感性分析确定非糖酵解途径的起始反应对系统行为很重要。该模型对苹果酸酶活性的缺失具有鲁棒性,而小鼠胰腺β细胞中不存在该酶活性。该模型朝着构建具有物种特异性参数的模型迈出了一步,该模型可用于理解糖尿病小鼠模型以及这些小鼠模型与人类疾病状态的关系。