Farhy Leon S, Chan Alice, Breton Marc D, Anderson Stacey M, Kovatchev Boris P, McCall Anthony L
Division of Endocrinology and Metabolism, Department of Medicine, University of Virginia Charlottesville, VA, USA.
Front Physiol. 2012 Feb 28;3:40. doi: 10.3389/fphys.2012.00040. eCollection 2012.
Glucagon counterregulation (GCR) protects against hypoglycemia, but is impaired in type 1 diabetes (T1DM). A model-based analysis of in vivo animal data predicts that the GCR defects are linked to basal hyperglucagonemia. To test this hypothesis we studied the relationship between basal glucagon (BasG) and the GCR response to hypoglycemia in 29 hyperinsulinemic clamps in T1DM patients. Glucose levels were stabilized in euglycemia and then steadily lowered to 50 mg/dL. Glucagon was measured before induction of hypoglycemia and at 10 min intervals after glucose reached levels below 70 mg/dL. GCR was assessed by CumG, the cumulative glucagon levels above basal; MaxG, the maximum glucagon response; and RIG, the relative increase in glucagon over basal. Analysis of the results was performed with our mathematical model of GCR. The model describes interactions between islet peptides and glucose, reproduces the normal GCR axis and its impairment in diabetes. It was used to identify a control mechanism consistent with the observed link between BasG and GCR. Analysis of the clinical data showed that higher BasG was associated with lower GCR response. In particular, CumG and RIG correlated negatively with BasG (r = -0.46, p = 0.012 and r = -0.74, p < 0.0001 respectively) and MaxG increased linearly with BasG at a rate less than unity (p < 0.001). Consistent with these results was a model of GCR in which the secretion of glucagon has two components. The first is under (auto) feedback control and drives a pulsatile GCR and the second is feedback independent (basal secretion) and its increase suppresses the GCR. Our simulations showed that this model explains the observed relationships between BasG and GCR during a three-fold simulated increase in BasG. Our findings support the hypothesis that basal hyperglucagonemia contributes to the GCR impairment in T1DM and show that the predictive power of our GCR animal model applies to human pathophysiology in T1DM.
胰高血糖素反调节(GCR)可预防低血糖,但在1型糖尿病(T1DM)中受损。基于模型对体内动物数据的分析预测,GCR缺陷与基础高胰高血糖素血症有关。为了验证这一假设,我们研究了29例T1DM患者在高胰岛素钳夹试验中基础胰高血糖素(BasG)与GCR对低血糖反应之间的关系。血糖水平在正常血糖状态下稳定,然后稳步降至50mg/dL。在诱导低血糖之前以及血糖降至70mg/dL以下后每隔10分钟测量一次胰高血糖素。通过CumG(基础之上的累积胰高血糖素水平)、MaxG(最大胰高血糖素反应)和RIG(相对于基础的胰高血糖素相对增加量)评估GCR。使用我们的GCR数学模型对结果进行分析。该模型描述了胰岛肽与葡萄糖之间的相互作用,再现了正常的GCR轴及其在糖尿病中的损伤。它被用于确定一种与观察到的BasG和GCR之间联系一致的控制机制。对临床数据的分析表明,较高的BasG与较低的GCR反应相关。特别是,CumG和RIG与BasG呈负相关(r = -0.46,p = 0.012和r = -0.74,p < 0.0001),并且MaxG随BasG呈线性增加,增加速率小于1(p < 0.001)。与这些结果一致的是一个GCR模型,其中胰高血糖素的分泌有两个组成部分。第一个受(自身)反馈控制并驱动脉动性GCR,第二个独立于反馈(基础分泌),其增加会抑制GCR。我们的模拟表明,该模型解释了在BasG模拟增加三倍期间观察到的BasG和GCR之间的关系。我们的研究结果支持基础高胰高血糖素血症导致T1DM中GCR受损的假设,并表明我们的GCR动物模型的预测能力适用于T1DM中的人类病理生理学。