Determination of physiological parameters for endogenous glucose production in individuals using diurnal data.

BMC biomedical engineering Pub Date : 2019-11-15 eCollection Date: 2019-01-01 DOI:10.1186/s42490-019-0030-z

Mariël F van Stee, Shaji Krishnan, Albert K Groen, Albert A de Graaf

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引用次数: 3

Abstract

Background: Triple tracer meal experiments used to investigate organ glucose-insulin dynamics, such as endogenous glucose production (EGP) of the liver are labor intensive and expensive. A procedure was developed to obtain individual liver related parameters to describe EGP dynamics without the need for tracers.

Results: The development used an existing formula describing the EGP dynamics comprising 4 parameters defined from glucose, insulin and C-peptide dynamics arising from triple meal studies. The method employs a set of partial differential equations in order to estimate the parameters for EGP dynamics. Tracer-derived and simulated data sets were used to develop and test the procedure. The predicted EGP dynamics showed an overall mean R ² of 0.91.

Conclusions: In summary, a method was developed for predicting the hepatic EGP dynamics for healthy, pre-diabetic, and type 2 diabetic individuals without applying tracer experiments.

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利用日数据测定个体内源性葡萄糖产生的生理参数。

背景:三重示踪膳食实验用于研究器官葡萄糖-胰岛素动力学，如肝脏的内源性葡萄糖生成(EGP)是劳动密集型和昂贵的。开发了一种程序，以获得个体肝脏相关参数来描述EGP动力学，而不需要示踪剂。结果:该开发使用了一个现有的公式来描述EGP动力学，其中包括从三餐研究中产生的葡萄糖，胰岛素和c肽动力学定义的4个参数。该方法采用一组偏微分方程来估计EGP动力学参数。示踪衍生和模拟数据集用于开发和测试该程序。预测的EGP动力学总体平均r2为0.91。结论:总之，我们开发了一种无需使用示踪剂实验即可预测健康、糖尿病前期和2型糖尿病患者肝脏EGP动态的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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BMC biomedical engineering

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19 weeks