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Determination of physiological parameters for endogenous glucose production in individuals using diurnal data.
BMC Biomedical Engineering Pub Date : 2019-11-15 , DOI: 10.1186/s42490-019-0030-z
Mariël F van Stee 1, 2 , Shaji Krishnan 1 , Albert K Groen 2, 3 , Albert A de Graaf 1
Affiliation  

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. 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 R2 of 0.91. 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.

中文翻译:

使用昼夜数据确定个体内源性葡萄糖产生的生理参数。

用于研究器官葡萄糖-胰岛素动力学的三重示踪剂膳食实验,例如肝脏的内源性葡萄糖产生 (EGP),是劳动密集型和昂贵的。开发了一种程序来获得单个肝脏相关参数来描述 EGP 动态而不需要示踪剂。该开发使用了描述 EGP 动力学的现有公式,该公式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 动力学的参数。示踪剂衍生和模拟数据集用于开发和测试程序。预测的 EGP 动态显示总体平均 R2 为 0.91。总之,开发了一种方法来预测健康、糖尿病前期、
更新日期:2020-04-22
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