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利用糖尿病犬和人类正常胰岛素-葡萄糖关系评估人工B细胞算法。

Assessment of an algorithm for the artificial B-cell using the normal insulin-glucose relationship in diabetic dogs and men.

作者信息

Fischer U, Jutzi E, Bombor H, Freyse E J, Salzieder E, Albrecht G, Besch W, Bruns W

出版信息

Diabetologia. 1980;18(2):97-107. doi: 10.1007/BF00290484.

Abstract

Insulin secretion rates after glucose loading were calculated from peripheral venous IRI concentrations considering half life and distribution space of exogenous insulin in normal men and dogs. The coefficients of multiple linear regression analysis between insulin secretion rates and plasma glucose (level and order and rate of change) were used as algorithm parameters in glucose-controlled insulin infusions. These were carried out in each dog based on individual estimations before the induction of diabetes but in the diabetic patients based on values derived from a group of normal subjects. Using this formula, nearly normal patterns of glucose and of insulin were observed in diabetic men and dogs under basal conditions and after IV glucose loading but not after meals. This algorithm enables selection of the parameters prospectively. The effect of a parameter combination depends on insulin sensitivity and it should be appropriately adapted. In the diabetic patients there was no predictable influence of the brittle or stable characteristics of the disease nor of insulin antibodies on the glucose curves obtained with glucose controlled insulin infusions.

摘要

根据正常男性和犬类中外源性胰岛素的半衰期和分布空间,从外周静脉IRI浓度计算葡萄糖负荷后的胰岛素分泌率。胰岛素分泌率与血浆葡萄糖(水平、变化顺序和变化速率)之间的多元线性回归分析系数被用作葡萄糖控制胰岛素输注的算法参数。这些参数在每只犬类中是根据糖尿病诱导前的个体估计值确定的,但在糖尿病患者中是根据一组正常受试者得出的值确定的。使用该公式,在基础条件下以及静脉注射葡萄糖负荷后,糖尿病男性和犬类中观察到了接近正常的葡萄糖和胰岛素模式,但餐后未观察到。该算法能够前瞻性地选择参数。参数组合的效果取决于胰岛素敏感性,应进行适当调整。在糖尿病患者中,疾病的脆性或稳定性特征以及胰岛素抗体对葡萄糖控制胰岛素输注获得的葡萄糖曲线没有可预测的影响。

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