Subramanian Vijaya, Bagger Jonatan I, Holst Jens J, Knop Filip K, Vilsbøll Tina
Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD, United States.
Center for Clinical Metabolic Research, Herlev and Gentofte Hospital, University of Copenhagen, Hellerup, Denmark.
Front Physiol. 2022 Sep 6;13:911616. doi: 10.3389/fphys.2022.911616. eCollection 2022.
Type 2 diabetes (T2D) is a pathophysiology that is characterized by insulin resistance, beta- and alpha-cell dysfunction. Mathematical models of various glucose challenge experiments have been developed to quantify the contribution of insulin and beta-cell dysfunction to the pathophysiology of T2D. There is a need for effective extended models that also capture the impact of alpha-cell dysregulation on T2D. In this paper a delay differential equation-based model is developed to describe the coupled glucose-insulin-glucagon dynamics in the isoglycemic intravenous glucose infusion (IIGI) experiment. As the glucose profile in IIGI is tailored to match that of a corresponding oral glucose tolerance test (OGTT), it provides a perfect method for studying hormone responses that are in the normal physiological domain and without the confounding effect of incretins and other gut mediated factors. The model was fit to IIGI data from individuals with and without T2D. Parameters related to glucagon action, suppression, and secretion as well as measures of insulin sensitivity, and glucose stimulated response were determined simultaneously. Significant impairment in glucose dependent glucagon suppression was observed in patients with T2D (duration of T2D: 8 (6-36) months) relative to weight matched control subjects (CS) without diabetes (k (mM): 0.16 ± 0.015 (T2D, = 7); 0.26 ± 0.047 (CS, = 7)). Insulin action was significantly lower in patients with T2D (a (10 pM min): 0.000084 ± 0.0000075 (T2D); 0.00052 ± 0.00015 (CS)) and the Hill coefficient in the equation for glucose dependent insulin response was found to be significantly different in T2D patients relative to CS (h: 1.4 ± 0.15; 1.9 ± 0.14). Trends in parameters with respect to fasting plasma glucose, HbA1c and 2-h glucose values are also presented. Significantly, a negative linear relationship is observed between the glucagon suppression parameter, k, and the three markers for diabetes and is thus indicative of the role of glucagon in exacerbating the pathophysiology of diabetes (Spearman Rank Correlation: ( = 12; (-0.79, 0.002), (-0.73,.007), (-0.86,.0003)) respectively).
2型糖尿病(T2D)是一种以胰岛素抵抗、β细胞和α细胞功能障碍为特征的病理生理学状态。已经开发了各种葡萄糖激发实验的数学模型,以量化胰岛素和β细胞功能障碍对T2D病理生理学的影响。需要有效的扩展模型来捕捉α细胞失调对T2D的影响。本文开发了一种基于延迟微分方程的模型,用于描述等血糖静脉葡萄糖输注(IIGI)实验中葡萄糖-胰岛素-胰高血糖素的耦合动力学。由于IIGI中的葡萄糖曲线是为匹配相应的口服葡萄糖耐量试验(OGTT)而定制的,它为研究正常生理范围内的激素反应提供了一种完美的方法,且不受肠促胰岛素和其他肠道介导因素的混杂影响。该模型与有和没有T2D的个体的IIGI数据进行拟合。同时确定了与胰高血糖素作用、抑制和分泌相关的参数,以及胰岛素敏感性和葡萄糖刺激反应的测量值。相对于体重匹配的无糖尿病对照受试者(CS),观察到T2D患者(T2D病程:8(6 - 36)个月)存在葡萄糖依赖性胰高血糖素抑制的显著受损(k(mM):0.16±0.015(T2D,n = 7);0.26±0.047(CS,n = 7))。T2D患者的胰岛素作用显著降低(a(10 pM min):0.000084±0.0000075(T2D);0.00052±0.00015(CS)),并且发现TIGI患者相对于CS,葡萄糖依赖性胰岛素反应方程中的希尔系数有显著差异(h:1.4±{0.15};1.9±{0.14})。还呈现了参数相对于空腹血糖、糖化血红蛋白和2小时血糖值的趋势。值得注意的是,观察到胰高血糖素抑制参数k与三种糖尿病标志物之间存在负线性关系,因此表明胰高血糖素在加剧糖尿病病理生理学中的作用(斯皮尔曼等级相关性:(n = 12;(-0.79,0.002),(-0.73,0.007),(-0.86,0.0003)))。