Temporal multiscale modeling of biochemical regulatory networks: Calcium-regulated hepatocyte lipid and glucose metabolism

IF 2 4区 生物学 Q2 BIOLOGY
Arina V. Martyshina, Anna G. Sirotkina, Irina V. Gosteva
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Abstract

Hepatocyte lipid and glucose metabolism is regulated not only by major hormones like insulin and glucagon but also by many other factors, including calcium ions. Recently, mitochondria-associated membrane (MAM) dysfunction combined with incorrect IP3-receptor regulation has been shown to result in abnormal calcium signaling in hepatocytes. This dysfunction could further lead to hepatic metabolism pathology. However, the exact contribution of MAM dysfunction, incorrect IP3-receptor regulation and insulin resistance to the calcium-insulin-glucagon interplay is not understood yet. In this work, we analyze the role of abnormal calcium signaling and insulin dysfunction in hepatocytes by proposing a model of hepatocyte metabolic regulatory network with a detailed focus on the model construction details besides the biological aspect. In this work, we analyze the role of abnormal calcium signaling and insulin dysfunction in hepatocytes by proposing a model of hepatocyte metabolic regulatory network. We focus on the model construction details, model validation, and predictions. We describe the dynamic regulation of signaling processes by sigmoid Hill function. In particular, we study the effect of both the Hill function slope and the distance between Hill function extremes on metabolic processes in hepatocytes as a model of nonspecific insulin dysfunction. We also address the significant time difference between characteristic time of glucose hepatic processing and a typical calcium oscillation period in hepatocytes. Our modeling results show that calcium signaling dysfunction results in an abnormal increase in postprandial glucose levels, an abnormal glucose decrease in fasting, and a decreased amount of stored glycogen. An insulin dysfunction of glucose phosphorylation, glucose dephosphorylation, and glycogen breakdown also cause a noticeable effect. We also get some insight into the so-called hepatic insulin resistance paradox, confirming the hypothesis regarding indirect insulin action on hepatocytes via dysfunctional adipocyte lipolysis.

生化调控网络的时空多尺度建模:钙调控的肝细胞脂质和葡萄糖代谢
肝细胞的脂质和葡萄糖代谢不仅受胰岛素和胰高血糖素等主要激素的调节,还受包括钙离子在内的许多其他因素的调节。最近的研究表明,线粒体相关膜(MAM)功能障碍与不正确的 IP3 受体调节相结合,导致肝细胞中的钙信号异常。这种功能障碍可能会进一步导致肝脏代谢病变。然而,MAM 功能障碍、不正确的 IP3 受体调节和胰岛素抵抗对钙-胰岛素-胰高血糖素相互作用的确切贡献尚不清楚。在这项工作中,我们通过提出肝细胞代谢调控网络模型来分析异常钙信号传导和胰岛素功能障碍在肝细胞中的作用,除了生物学方面,我们还详细关注了模型构建的细节。在这项工作中,我们通过提出一个肝细胞代谢调控网络模型,分析了异常钙信号传导和胰岛素功能障碍在肝细胞中的作用。我们重点讨论了模型构建细节、模型验证和预测。我们用西格玛希尔函数描述了信号传导过程的动态调控。作为非特异性胰岛素功能障碍模型,我们特别研究了希尔函数斜率和希尔函数极值之间的距离对肝细胞代谢过程的影响。我们还研究了葡萄糖肝处理特征时间与肝细胞典型钙振荡周期之间的显著时间差。我们的建模结果表明,钙信号传导功能障碍会导致餐后血糖水平异常升高、空腹血糖异常下降以及糖原储存量减少。胰岛素对葡萄糖磷酸化、葡萄糖去磷酸化和糖原分解的功能障碍也会造成明显的影响。我们还对所谓的肝脏胰岛素抵抗悖论有了一些了解,证实了关于胰岛素通过脂肪细胞脂肪分解功能障碍间接作用于肝细胞的假设。
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来源期刊
Biosystems
Biosystems 生物-生物学
CiteScore
3.70
自引率
18.80%
发文量
129
审稿时长
34 days
期刊介绍: BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.
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