Kinetic modelling of β-cell metabolism reveals control points in the insulin-regulating pyruvate cycling pathways

IF 1.9 4区 生物学 Q4 CELL BIOLOGY
Rahul Rahul, Adam R. Stinchcombe, Jamie W. Joseph, Brian Ingalls
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Abstract

Insulin, a key hormone in the regulation of glucose homoeostasis, is secreted by pancreatic β-cells in response to elevated glucose levels. Insulin is released in a biphasic manner in response to glucose metabolism in β-cells. The first phase of insulin secretion is triggered by an increase in the ATP:ADP ratio; the second phase occurs in response to both a rise in ATP:ADP and other key metabolic signals, including a rise in the NADPH:NADP+ ratio. Experimental evidence indicates that pyruvate-cycling pathways play an important role in the elevation of the NADPH:NADP+ ratio in response to glucose. The authors developed a kinetic model for the tricarboxylic acid cycle and pyruvate cycling pathways. The authors successfully validated the model against experimental observations and performed a sensitivity analysis to identify key regulatory interactions in the system. The model predicts that the dicarboxylate carrier and the pyruvate transporter are the most important regulators of pyruvate cycling and NADPH production. In contrast, the analysis showed that variation in the pyruvate carboxylase flux was compensated by a response in the activity of mitochondrial isocitrate dehydrogenase (ICDm) resulting in minimal effect on overall pyruvate cycling flux. The model predictions suggest starting points for further experimental investigation, as well as potential drug targets for the treatment of type 2 diabetes.

Abstract Image

β细胞代谢的动力学模型揭示了胰岛素调节丙酮酸循环途径中的控制点。
胰岛素是调节葡萄糖稳态的关键激素,由胰腺β细胞分泌,以应对葡萄糖水平升高。胰岛素以双相方式释放,以响应β细胞中的葡萄糖代谢。胰岛素分泌的第一阶段由ATP:ADP比率的增加触发;第二阶段发生在对ATP:ADP和其他关键代谢信号的升高(包括NADPH:NADP+比率的升高)的反应中。实验证据表明,丙酮酸循环途径在响应葡萄糖的NADPH:NADP+比率的升高中起着重要作用。作者建立了三羧酸循环和丙酮酸循环途径的动力学模型。作者根据实验观察成功验证了该模型,并进行了敏感性分析,以确定系统中的关键调节相互作用。该模型预测,二羧酸盐载体和丙酮酸转运蛋白是丙酮酸循环和NADPH产生的最重要调节因子。相反,分析表明,丙酮酸羧化酶通量的变化被线粒体异柠檬酸脱氢酶(ICDm)活性的反应所补偿,从而对总丙酮酸循环通量的影响最小。模型预测为进一步的实验研究提供了起点,也为治疗2型糖尿病提供了潜在的药物靶点。
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来源期刊
IET Systems Biology
IET Systems Biology 生物-数学与计算生物学
CiteScore
4.20
自引率
4.30%
发文量
17
审稿时长
>12 weeks
期刊介绍: IET Systems Biology covers intra- and inter-cellular dynamics, using systems- and signal-oriented approaches. Papers that analyse genomic data in order to identify variables and basic relationships between them are considered if the results provide a basis for mathematical modelling and simulation of cellular dynamics. Manuscripts on molecular and cell biological studies are encouraged if the aim is a systems approach to dynamic interactions within and between cells. The scope includes the following topics: Genomics, transcriptomics, proteomics, metabolomics, cells, tissue and the physiome; molecular and cellular interaction, gene, cell and protein function; networks and pathways; metabolism and cell signalling; dynamics, regulation and control; systems, signals, and information; experimental data analysis; mathematical modelling, simulation and theoretical analysis; biological modelling, simulation, prediction and control; methodologies, databases, tools and algorithms for modelling and simulation; modelling, analysis and control of biological networks; synthetic biology and bioengineering based on systems biology.
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