胰岛素信号传导动力学实现的比较分析
Comparative Analysis of Kinetic Realizations of Insulin Signaling
AI总结：
本研究利用反应网络分析比较健康状态与2型糖尿病状态下的胰岛素信号传导动力学模型，揭示了胰岛素抵抗发生时的网络特性差异及GLUT4鲁棒性丧失机制。
摘要：
多项研究已开发出动力学模型，以理解胰岛素信号传导的潜在机制，这是一种导致葡萄糖（人体主要能量来源）转运的信号级联反应。幸运的是，反应网络分析使我们能够在不依赖模型参数值的情况下提取动力学系统的特性。本研究利用反应网络分析，比较了健康状态下的胰岛素信号传导（INSMS或INSulin Metabolic Signaling）与2型糖尿病状态下的胰岛素信号传导（INRES或INsulin RESistance）。该分析使用网络分解来识别参与胰岛素信号传导的不同子系统（例如，胰岛素受体结合与循环、GLUT4转运和ERK信号通路等）。此外，结果表明，INSMS和INRES在网络、结构动力学和动力学特性方面具有相似性。然而，它们之间的差异为胰岛素抵抗发生时的变化提供了深刻见解。首先，INSMS和INRES中涉及物种数量的变化表明，当胰岛素信号通路出现异常时，其他复合物（以及其他过程）会参与进来，从而表征了胰岛素抵抗。其次，INRES表现出的协调性丧失表明，参与胰岛素信号传导的物种之间的相互作用限制减少，导致信号级联反应中出现异常活动。最后，在INRES中GLUT4失去其绝对浓度鲁棒性，可能意味着该转运蛋白在将葡萄糖穿梭至细胞内的可靠性降低，从而抑制了高效的细胞能量产生。本研究还提出了平衡参数化和网络分解的可能应用，这些方法源自该分析，有望在物种中建立绝对浓度鲁棒性。
英文摘要：
Several studies have developed dynamical models to understand the underlying mechanisms of insulin signaling, a signaling cascade that leads to the translocation of glucose, the human body's main source of energy. Fortunately, reaction network analysis allows us to extract properties of dynamical systems without depending on their model parameter values. This study focuses on the comparison of insulin signaling in healthy state (INSMS or INSulin Metabolic Signaling) and in type 2 diabetes (INRES or INsulin RESistance) using reaction network analysis. The analysis uses network decomposition to identify the different subsystems involved in insulin signaling (e.g., insulin receptor binding and recycling, GLUT4 translocation, and ERK signaling pathway, among others). Furthermore, results show that INSMS and INRES are similar with respect to some network, structo-kinetic, and kinetic properties. Their differences, however, provide insights into what happens when insulin resistance occurs. First, the variation in the number of species involved in INSMS and INRES suggests that when irregularities occur in the insulin signaling pathway, other complexes (and, hence, other processes) get involved, characterizing insulin resistance. Second, the loss of concordance exhibited by INRES suggests less restrictive interplay between the species involved in insulin signaling, leading to unusual activities in the signaling cascade. Lastly, GLUT4 losing its absolute concentration robustness in INRES may signify that the transporter has lost its reliability in shuttling glucose to the cell, inhibiting efficient cellular energy production. This study also suggests possible applications of the equilibria parametrization and network decomposition, resulting from the analysis, to potentially establish absolute concentration robustness in a species.
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