MP Modelling of Glucose-Insulin Interactions in the Intravenous Glucose Tolerance Test

V. Manca, L. Marchetti, R. Pagliarini
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Finally, each model is analysed to define a common pattern which explains, in general, the action of the glucose-insulin control system. DOI: 10.4018/jncr.2011070102 14 International Journal of Natural Computing Research, 2(3), 13-24, July-September 2011 Copyright © 2011, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. results in increasing the blood glucose level by acting on liver cells and causing them to release glucose into the blood2 (Figure 1). If the plasma glucose concentration level is constantly out of the usual range, then we are in presence of blood glucose problems. In particular, when this level is constantly higher than the range upper bound (which is referred to as hyperglycemia), we are in presence of Diabetes: a dreadfully severe and pervasive illness which concerns a good number of structures in the body. Diabetes is classified into two main categories known as type I and type II, respectively. Type I, 5−10% of all categories of diabetes, results from autoimmune destruction of β-cells and the pancreas is no longer capable of making insulin. Therefore, daily insulin injections are necessary. Diabetes of type II refers to the remaining 90% and occurs when the pancreas produces insulin but cells fail to use it properly. In both the types of diabetes, the illness can lead to several complications like retinopathy, nephropathy, peripheral neuropathy and blindness. This motivates researches to study the glucose-insulin endocrine regulatory system. In particular, the glucoseinsulin system has been the object of repeated mathematical modelling attempts. The majority of the proposed models were devoted to the study of the glucose-insulin dynamics by considering experimental data obtained by the intravenous glucose tolerance test, shortly IVGTT, and the oral glucose tolerance test, shortly OGTT. In these models, the insulinglucose system is assumed to be composed of two linked subsystems modelling the insulin action and the glucose kinetics, respectively. Since the action of insulin is delayed with respect to plasma glucose, the subsystems of insulin action typically includes a delay. The intravenous glucose tolerance test focuses on the metabolism of glucose in a period of 3 hours starting from the infusion of a bolus of glucose at time t = 0. It is based on the assumption that, in a healthy person, the glucose concentration decreases exponentially with time following the loading dose (Figure 2). It has been recommended as a method to assess the use of insulin in order to identify subjects which may be diabetics (National Diabetes Data Group, 1979). However, considering the limits of the existing mathematical models, a need exists to have reliable mathematical models representing the glucose-insulin system. The mere fact that several models have been proposed (Boutayeb & Chetouani, 2006; Makroglou, Li, & Kuang, 2006; Mari, 2002) shows that mathematical and physiological considerations have to be carefully integrated when attempting to represent the glucose-insulin regulatory mechanism. In particular, in order to model the IVGTT, a reasonably simple model is required. It has to have a few parameters to be estimated and has to have dynamics consistent with physiology and experimental data. Further, the model formulation, while applicable to model the IVGTT, should be Figure 1. The glucose homeostasis International Journal of Natural Computing Research, 2(3), 13-24, July-September 2011 15 Copyright © 2011, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. logically and easily extensible to model other envisaged experimental procedures. 2. MATHEMATICAL MODELS OF THE INTRAVENOUS GLUCOSE TOLERANCE TEST A variety of mathematical models, statistical methods and algorithms have been proposed to understand different aspects of diabetes. In this section we briefly review the two mathematical models which had the most important impact in diabetology for modelling the intravenous glucose tolerance test. They have been useful to assess physiological parameters and to study the glucose-insulin interactions. However, they have not escaped from criticism and drawbacks. Although several other models have been proposed (Bergman, Finegood, & Ader, 1985), the real start of modelling glucose-insulin dynamics is due to the minimal model developed in Bergman, Ider, Bowden, and Cobelli (1979) and Toffolo, Bergman, Finegood, Bowden, and Cobelli (1980). It has been characterized as the simplest model which is able to describe the glucose metabolism reasonably well by using the smallest set of identifiable and meaningful parameters (Bergman et al., 1979; Pacini & Bergman, 1986). Several versions based on the minimal model have been proposed, and the reader can find further information on them in Bergman et al. (1985) and Cobelli and Mari (1983). The minimal model has been formulated by using the following system of differential equations:","PeriodicalId":369881,"journal":{"name":"Int. J. Nat. Comput. Res.","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"35","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Nat. Comput. 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引用次数: 35

Abstract

The Intravenous Glucose Tolerance Test is an experimental procedure used to study the glucose-insulin endocrine regulatory system. An open problem is to construct a model representing simultaneously the entire regulative mechanism. In the past three decades, several models have appeared, but they have not escaped criticisms and drawbacks. In this paper, the authors apply the Metabolic P systems theory for developing new physiologically based models of the glucose-insulin system, which can be applied to the IVGTT. Ten datasets obtained from literature were considered and an MP model was found for each, which fits the data and explains the regulations of the dynamics. Finally, each model is analysed to define a common pattern which explains, in general, the action of the glucose-insulin control system. DOI: 10.4018/jncr.2011070102 14 International Journal of Natural Computing Research, 2(3), 13-24, July-September 2011 Copyright © 2011, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. results in increasing the blood glucose level by acting on liver cells and causing them to release glucose into the blood2 (Figure 1). If the plasma glucose concentration level is constantly out of the usual range, then we are in presence of blood glucose problems. In particular, when this level is constantly higher than the range upper bound (which is referred to as hyperglycemia), we are in presence of Diabetes: a dreadfully severe and pervasive illness which concerns a good number of structures in the body. Diabetes is classified into two main categories known as type I and type II, respectively. Type I, 5−10% of all categories of diabetes, results from autoimmune destruction of β-cells and the pancreas is no longer capable of making insulin. Therefore, daily insulin injections are necessary. Diabetes of type II refers to the remaining 90% and occurs when the pancreas produces insulin but cells fail to use it properly. In both the types of diabetes, the illness can lead to several complications like retinopathy, nephropathy, peripheral neuropathy and blindness. This motivates researches to study the glucose-insulin endocrine regulatory system. In particular, the glucoseinsulin system has been the object of repeated mathematical modelling attempts. The majority of the proposed models were devoted to the study of the glucose-insulin dynamics by considering experimental data obtained by the intravenous glucose tolerance test, shortly IVGTT, and the oral glucose tolerance test, shortly OGTT. In these models, the insulinglucose system is assumed to be composed of two linked subsystems modelling the insulin action and the glucose kinetics, respectively. Since the action of insulin is delayed with respect to plasma glucose, the subsystems of insulin action typically includes a delay. The intravenous glucose tolerance test focuses on the metabolism of glucose in a period of 3 hours starting from the infusion of a bolus of glucose at time t = 0. It is based on the assumption that, in a healthy person, the glucose concentration decreases exponentially with time following the loading dose (Figure 2). It has been recommended as a method to assess the use of insulin in order to identify subjects which may be diabetics (National Diabetes Data Group, 1979). However, considering the limits of the existing mathematical models, a need exists to have reliable mathematical models representing the glucose-insulin system. The mere fact that several models have been proposed (Boutayeb & Chetouani, 2006; Makroglou, Li, & Kuang, 2006; Mari, 2002) shows that mathematical and physiological considerations have to be carefully integrated when attempting to represent the glucose-insulin regulatory mechanism. In particular, in order to model the IVGTT, a reasonably simple model is required. It has to have a few parameters to be estimated and has to have dynamics consistent with physiology and experimental data. Further, the model formulation, while applicable to model the IVGTT, should be Figure 1. The glucose homeostasis International Journal of Natural Computing Research, 2(3), 13-24, July-September 2011 15 Copyright © 2011, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. logically and easily extensible to model other envisaged experimental procedures. 2. MATHEMATICAL MODELS OF THE INTRAVENOUS GLUCOSE TOLERANCE TEST A variety of mathematical models, statistical methods and algorithms have been proposed to understand different aspects of diabetes. In this section we briefly review the two mathematical models which had the most important impact in diabetology for modelling the intravenous glucose tolerance test. They have been useful to assess physiological parameters and to study the glucose-insulin interactions. However, they have not escaped from criticism and drawbacks. Although several other models have been proposed (Bergman, Finegood, & Ader, 1985), the real start of modelling glucose-insulin dynamics is due to the minimal model developed in Bergman, Ider, Bowden, and Cobelli (1979) and Toffolo, Bergman, Finegood, Bowden, and Cobelli (1980). It has been characterized as the simplest model which is able to describe the glucose metabolism reasonably well by using the smallest set of identifiable and meaningful parameters (Bergman et al., 1979; Pacini & Bergman, 1986). Several versions based on the minimal model have been proposed, and the reader can find further information on them in Bergman et al. (1985) and Cobelli and Mari (1983). The minimal model has been formulated by using the following system of differential equations:
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静脉葡萄糖耐量试验中葡萄糖-胰岛素相互作用的MP模型
静脉葡萄糖耐量试验是研究葡萄糖-胰岛素内分泌调节系统的一种实验方法。一个悬而未决的问题是构建一个同时代表整个调节机制的模型。在过去的三十年里,出现了几种模式,但它们都没有逃脱批评和缺陷。在本文中,作者应用代谢P系统理论建立了新的基于生理学的葡萄糖-胰岛素系统模型,该模型可应用于IVGTT。从文献中获得了10个数据集,并为每个数据集找到了一个MP模型,该模型拟合数据并解释了动力学规律。最后,对每个模型进行分析,以定义一个共同的模式,该模式一般解释了葡萄糖-胰岛素控制系统的作用。DOI: 10.4018 / jncr。14国际自然计算研究学报,2(3),13- 24,2011年7月- 9月版权所有©2011,IGI Global。未经IGI Global书面许可,禁止以印刷或电子形式复制或分发。通过作用于肝细胞,使其将葡萄糖释放到血液中,从而导致血糖水平升高2(图1)。如果血浆葡萄糖浓度水平持续超出正常范围,那么我们就有血糖问题了。特别是,当血糖水平持续高于上限(称为高血糖)时,我们就患上了糖尿病:一种非常严重且普遍存在的疾病,涉及到身体的许多结构。糖尿病分为两大类,分别是I型和II型。I型糖尿病占所有糖尿病类型的5 - 10%,是由于自身免疫破坏β细胞,胰腺不再能够产生胰岛素。因此,每天注射胰岛素是必要的。II型糖尿病指的是剩下的90%,当胰腺产生胰岛素但细胞不能正确使用它时就会发生。在这两种类型的糖尿病中,这种疾病会导致一些并发症,如视网膜病变、肾病、周围神经病变和失明。这激发了人们对葡萄糖-胰岛素内分泌调节系统的研究。特别是,葡萄糖-胰岛素系统一直是反复尝试数学建模的对象。大多数提出的模型都是通过静脉内葡萄糖耐量试验(IVGTT)和口服葡萄糖耐量试验(OGTT)获得的实验数据来研究葡萄糖-胰岛素动力学的。在这些模型中,胰岛素-葡萄糖系统被假设由两个相互联系的子系统组成,分别模拟胰岛素作用和葡萄糖动力学。由于胰岛素的作用相对于血浆葡萄糖是延迟的,胰岛素作用的子系统通常包括延迟。静脉葡萄糖耐量试验关注的是从t = 0时刻开始滴注一剂葡萄糖3小时内葡萄糖的代谢情况。它基于这样的假设:健康人的葡萄糖浓度在负荷剂量后随时间呈指数级下降(图2)。它被推荐作为评估胰岛素使用情况的一种方法,以识别可能患有糖尿病的受试者(National Diabetes Data Group, 1979)。然而,考虑到现有数学模型的局限性,需要有一个可靠的数学模型来代表葡萄糖-胰岛素系统。仅仅是提出了几个模型的事实(Boutayeb & Chetouani, 2006;Makroglou, Li, & Kuang, 2006;Mari, 2002)表明,在试图表示葡萄糖-胰岛素调节机制时,必须仔细地将数学和生理因素结合起来。特别是,为了对IVGTT建模,需要一个相当简单的模型。它必须有一些参数来估计,必须有与生理学和实验数据一致的动力学。此外,模型公式虽然适用于对IVGTT建模,但应如图1所示。国际自然计算研究杂志,2(3),13- 24,2011年7月- 9月15版权所有©2011,IGI Global。未经IGI Global书面许可,禁止以印刷或电子形式复制或分发。逻辑上和容易扩展,以模拟其他设想的实验过程。2. 为了了解糖尿病的不同方面,人们提出了多种数学模型、统计方法和算法。在本节中,我们简要回顾了在糖尿病学中对静脉葡萄糖耐量试验建模有最重要影响的两个数学模型。它们对评估生理参数和研究葡萄糖-胰岛素相互作用是有用的。然而,他们并没有逃脱批评和缺陷。
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