van Stee Mariël F, Krishnan Shaji, Groen Albert K, de Graaf Albert A
Netherlands Organisation for Applied Scientific Research (TNO), Utrechtseweg 48, Zeist, 3704 HE The Netherlands.
Department of Pediatrics, University of Groningen, University Medical Center Groningen, Hanzeplein 1, Groningen, 9713 GZ The Netherlands.
BMC Biomed Eng. 2019 Nov 15;1:29. doi: 10.1186/s42490-019-0030-z. eCollection 2019.
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 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.
用于研究器官葡萄糖 - 胰岛素动力学的三重示踪餐实验，如肝脏的内源性葡萄糖生成（EGP），劳动强度大且成本高。已开发出一种程序，无需示踪剂即可获得描述EGP动力学的个体肝脏相关参数。
该开发使用了一个现有的描述EGP动力学的公式，该公式由三重餐研究中葡萄糖、胰岛素和C肽动力学定义的4个参数组成。该方法采用一组偏微分方程来估计EGP动力学的参数。示踪剂衍生数据集和模拟数据集用于开发和测试该程序。预测的EGP动力学总体均值为0.91。
总之，已开发出一种无需进行示踪剂实验即可预测健康、糖尿病前期和2型糖尿病个体肝脏EGP动力学的方法。
