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Modelling Metabolic Pathways Involved in the Pathogenesis of Non-Alcoholic Fatty Liver Disease

机译:涉及非酒精脂肪肝病发病机制的代谢途径

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Non-alcoholic fatty liver disease (NAFLD) is a poorly understood complex disorder that occurs at a high frequency in Western populations with unhealthy dietary and lifestyle habits. Systems biology tools may provide further insight into the multi-dimensional nature of NAFLD. A dynamic semi-quantitative model of the metabolic and signaling pathways suggested to be important in the pathogenesis of NAFLD has been generated using an object-oriented library of components based on differential equations. Initial model validation procedures to draw a comparison between experimental data and model simulations has suggested a close correlation between experimental models and the in silico network. Furthermore, the stiffness of multi-substrate reactions indicates the presence of a balance between pathway fluxes within the network. The model aims to identify novel mechanisms of NAFLD pathogenesis and regulatory components, thus providing a basis for experimental hypotheses.
机译:非酒精性脂肪肝病(NAFLD)是一种难以理解的复杂疾病,其在西部人群中以不健康的饮食和生活方式习惯发生的高频率。系统生物学工具可以进一步了解NAFLD的多维性质。使用基于微分方程的面向对象的组件的面向对象的组件来产生动态半定量模型,其表明在NAFLD的发病机制中是重要的。初始模型验证程序在实验数据和模型模拟之间进行比较,提出了实验模型与Silico网络之间的紧密相关性。此外,多衬底反应的刚度表明网络内的途径通量之间的平衡存在。该模型旨在识别NAFLD发病机制和调节组分的新机制,从而为实验假设提供基础。

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