Minimal model of food absorption in the gut.

D R Worthington
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引用次数: 34

Abstract

Of the physiological subsystems involved in glucose metabolism, all have now been modelled with continuous-time compartmental models except the gut. To address this omission, three progressively more complex models of the conversion of food by the gut into the rate of appearance of glucose in plasma were identified, using two different sample input foods which were tested on a type 1 diabetic patient. The minimal model that achieved a reasonable match with measured values had one compartment. Two model parameters specific to the food modelled were glycaemic value (grams of glucose per gram of food), and the fractional turnover rate, corresponding to a combination of the gastric emptying time constant and other rate limiting metabolic processes. Parameters specific to the individual were compartmental volumes, specifically for the glucose distribution space. It was only possible to achieve an adequate model prediction with a one compartmental model by explicitly incorporating transport delay into the model. By combining this model with models of insulin production and glucose disposal, the glycaemic response of an identified food may also be predicted for patients with type 2 diabetes mellitus. This predicted responses, along with the predicted response for bread or glucose, enables calculation of the Glycaemic Index for the food from its glycaemic value, time constant, and transport delay, along with the insulin production and glucose disposal model parameters for the individual patient. These three minimal model parameters therefore embody all the information of the Glycaemic Index, and more, allowing a continuous prediction of the effect of eating a given food over time. Together with a means of combining the parameters of individual foods into a combination set for a composite meal, this minimal model could enable diabetic patients to predict the time course of glycaemic action for a meal and to adjust treatment accordingly.

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肠道食物吸收的最小模型。
除了肠道外,所有参与葡萄糖代谢的生理子系统现在都用连续时间区室模型来建模。为了解决这一遗漏,使用两种不同的样品输入食物,在1型糖尿病患者身上进行了测试,确定了肠道将食物转化为血浆中葡萄糖出现率的三个逐渐复杂的模型。与测量值达到合理匹配的最小模型只有一个隔室。所建模的食物特有的两个模型参数是血糖值(每克食物的葡萄糖克数)和分数周转率,对应于胃排空时间常数和其他限速代谢过程的组合。个体特有的参数是区室体积,特别是葡萄糖分布空间。只有通过明确地将运输延迟纳入模型中,才有可能用一个隔室模型实现适当的模型预测。通过将该模型与胰岛素生成和葡萄糖处理模型相结合,可以预测特定食物对2型糖尿病患者的血糖反应。这个预测的反应,连同对面包或葡萄糖的预测反应,可以根据食物的血糖值、时间常数和运输延迟,以及个体患者的胰岛素产生和葡萄糖处理模型参数,计算出食物的血糖指数。因此,这三个最小的模型参数体现了血糖指数的所有信息,以及更多的信息,允许对一段时间内食用特定食物的影响进行连续预测。结合将单个食物的参数组合成复合膳食的组合集的方法,这个最小模型可以使糖尿病患者预测一餐血糖作用的时间过程,并相应地调整治疗。
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