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胰岛素-胰高血糖素信号网络的计算分析:双稳性对代谢稳态和疾病状态的影响。

Computational Analysis of Insulin-Glucagon Signalling Network: Implications of Bistability to Metabolic Homeostasis and Disease states.

机构信息

Department of Chemical Engineering, Indian Institute of Technology, Bombay, Powai, Mumbai, India.

Bioengineering Division, John A. Paulson School of Engineering and Applied Science, Harvard University, Cambridge, USA.

出版信息

Sci Rep. 2019 Oct 25;9(1):15298. doi: 10.1038/s41598-019-50889-4.

DOI:10.1038/s41598-019-50889-4
PMID:31653897
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6814820/
Abstract

Insulin and glucagon control plasma macronutrient homeostasis through their signalling network composed of multiple feedback and crosstalk interactions. To understand how these interactions contribute to metabolic homeostasis and disease states, we analysed the steady state response of metabolic regulation (catabolic or anabolic) with respect to structural and input perturbations in the integrated signalling network, for varying levels of plasma glucose. Structural perturbations revealed: the positive feedback of AKT on IRS is responsible for the bistability in anabolic zone (glucose >5.5 mmol); the positive feedback of calcium on cAMP is responsible for ensuring ultrasensitive response in catabolic zone (glucose <4.5 mmol); the crosstalk between AKT and PDE3 is responsible for efficient catabolic response under low glucose condition; the crosstalk between DAG and PKC regulates the span of anabolic bistable region with respect to plasma glucose levels. The macronutrient perturbations revealed: varying plasma amino acids and fatty acids from normal to high levels gradually shifted the bistable response towards higher glucose range, eventually making the response catabolic or unresponsive to increasing glucose levels. The analysis reveals that certain macronutrient composition may be more conducive to homeostasis than others. The network perturbations that may contribute to disease states such as diabetes, obesity and cancer are discussed.

摘要

胰岛素和胰高血糖素通过其由多种反馈和串扰相互作用组成的信号网络来控制血浆宏量营养素的稳态。为了了解这些相互作用如何有助于代谢稳态和疾病状态,我们分析了在不同血糖水平下,代谢调节(分解代谢或合成代谢)相对于综合信号网络中的结构和输入扰动的稳态响应。结构扰动揭示:AKT 对 IRS 的正反馈负责在合成代谢区(血糖 >5.5mmol)中产生双稳态;钙对 cAMP 的正反馈负责确保在分解代谢区(血糖 <4.5mmol)中产生超敏反应;AKT 和 PDE3 之间的串扰负责在低血糖条件下进行有效的分解代谢反应;DAG 和 PKC 之间的串扰调节了与血糖水平相关的合成代谢双稳态区域的跨度。宏量营养素扰动揭示:从正常到高水平的血浆氨基酸和脂肪酸的变化逐渐将双稳态响应推向更高的血糖范围,最终使响应对增加的血糖水平变为分解代谢或无响应。该分析表明,某些宏量营养素组成可能比其他组成更有利于稳态。讨论了可能导致糖尿病、肥胖症和癌症等疾病状态的网络扰动。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/34a5/6814820/b1c5e1fd612b/41598_2019_50889_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/34a5/6814820/a3dda6ecbac8/41598_2019_50889_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/34a5/6814820/1ac6a6cb0afd/41598_2019_50889_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/34a5/6814820/6596ca85dd7e/41598_2019_50889_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/34a5/6814820/b1c5e1fd612b/41598_2019_50889_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/34a5/6814820/a3dda6ecbac8/41598_2019_50889_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/34a5/6814820/1ac6a6cb0afd/41598_2019_50889_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/34a5/6814820/6596ca85dd7e/41598_2019_50889_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/34a5/6814820/b1c5e1fd612b/41598_2019_50889_Fig4_HTML.jpg

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