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甲羟戊酸胆固醇生物合成途径的数学模型。

A mathematical model of the mevalonate cholesterol biosynthesis pathway.

机构信息

Institute of Ophthalmology, University College London, Gower Street, London WC1E 6BT, United Kingdom.

Syngenta, Jealott's Hill International Research Centre, Bracknell, Berkshire RG42 6EY, United Kingdom.

出版信息

J Theor Biol. 2018 Apr 14;443:157-176. doi: 10.1016/j.jtbi.2017.12.023. Epub 2018 Jan 31.

Abstract

We formulate, parameterise and analyse a mathematical model of the mevalonate pathway, a key pathway in the synthesis of cholesterol. Of high clinical importance, the pathway incorporates rate limiting enzymatic reactions with multiple negative feedbacks. In this work we investigate the pathway dynamics and demonstrate that rate limiting steps and negative feedbacks within it act in concert to tightly regulate intracellular cholesterol levels. Formulated using the theory of nonlinear ordinary differential equations and parameterised in the context of a hepatocyte, the governing equations are analysed numerically and analytically. Sensitivity and mathematical analysis demonstrate the importance of the two rate limiting enzymes 3-hydroxy-3-methylglutaryl-CoA reductase and squalene synthase in controlling the concentration of substrates within the pathway as well as that of cholesterol. The role of individual feedbacks, both global (between that of cholesterol and sterol regulatory element-binding protein 2; SREBP-2) and local internal (between substrates in the pathway) are investigated. We find that whilst the cholesterol SREBP-2 feedback regulates the overall system dynamics, local feedbacks activate within the pathway to tightly regulate the overall cellular cholesterol concentration. The network stability is analysed by constructing a reduced model of the full pathway and is shown to exhibit one real, stable steady-state. We close by addressing the biological question as to how farnesyl-PP levels are affected by CYP51 inhibition, and demonstrate that the regulatory mechanisms within the network work in unison to ensure they remain bounded.

摘要

我们构建、参数化并分析了甲羟戊酸途径的数学模型,该途径是胆固醇合成的关键途径。该途径具有很高的临床重要性,包含限速酶反应和多个负反馈。在这项工作中,我们研究了该途径的动力学,并证明了限速步骤和其中的负反馈共同作用,以紧密调节细胞内胆固醇水平。该模型使用非线性常微分方程理论构建,并在肝细胞的背景下进行参数化,通过数值和解析分析对控制方程进行了分析。敏感性和数学分析表明,两种限速酶 3-羟基-3-甲基戊二酰辅酶 A 还原酶和鲨烯合酶在控制途径内底物以及胆固醇浓度方面具有重要作用。还研究了单个反馈的作用,包括全局反馈(胆固醇和固醇调节元件结合蛋白 2 之间)和局部内部反馈(途径内的底物之间)。我们发现,虽然胆固醇 SREBP-2 反馈调节了整个系统的动力学,但局部反馈在途径内激活,以紧密调节细胞内胆固醇的总体浓度。通过构建全途径的简化模型来分析网络稳定性,并表明其具有一个实的、稳定的稳态。最后,我们解决了 CYP51 抑制如何影响法呢酯-PP 水平的生物学问题,并证明了网络内的调节机制协同工作,以确保它们保持有界。

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