利用日数据测定个体内源性葡萄糖产生的生理参数。

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

摘要

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。

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

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

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

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

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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