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使用数学模拟评估α细胞失调在2型糖尿病进展中的作用。

Evaluating the role of alpha cell dysregulation in the progression to type 2 diabetes using mathematical simulations.

作者信息

Subramanian Vijaya, Sherman Arthur S, Holst Jens J, Knop Filip K, Vilsbøll Tina, Bagger Jonatan I

机构信息

Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD, USA.

Laboratory of Biological Modeling, National Institute of Diabetes, Digestive and Kidney Diseases, Bethesda, MD, USA.

出版信息

Diabetologia. 2025 Sep 9. doi: 10.1007/s00125-025-06524-1.

Abstract

AIMS/HYPOTHESIS: Alpha cell dysregulation is an integral part of type 2 diabetes pathophysiology, increasing fasting as well as postprandial glucose concentrations. Alpha cell dysregulation occurs in tandem with the development of insulin resistance and changes in beta cell function. Our aim was to investigate, using mathematical modelling, the role of alpha cell dysregulation in beta cell compensatory insulin secretion and subsequent failure in the progression from normoglycaemia to type 2 diabetes defined by ADA criteria.

METHODS

We developed a physiological model of glucose homeostasis, whereby the fast dynamics of glucose, insulin and glucagon are coupled to the dynamics of beta cell functional mass (a product of individual beta cell functional capacity and mass). Beta cell functional mass exhibits an initial compensatory increase in response to hyperglycaemia, followed by an eventual decline due to glucotoxicity. Alpha cell dysregulation, defined as increased glucagon secretion and lowered glucagon suppression resulting in hyperglycaemia, was introduced to varying extents, and simulations were carried out to assess the effects on beta cell functional mass over a 20 year period.

RESULTS

The simulations were carried out under conditions of moderate, mild or no alpha cell dysregulation. The parameters representing insulin resistance, glucagon secretion and suppression for an individual with normoglycaemia obtained from previously published work were evolved over a period of 20 years to the mean values observed in type 2 diabetes. The model was validated by visually matching the beta cell functional mass obtained from the simulations of the disease progression model to previously published parameters. Those parameters were obtained from fits of a model of OGTTs to data from a cross-sectional cohort that spanned the spectrum from normoglycaemia to type 2 diabetes. We found that mild alpha cell dysregulation elicited robust beta cell compensation, resulting in controlled postprandial glucose excursions despite the development of insulin resistance. Moderate alpha cell dysregulation initially enhanced compensation but eventually accelerated the progression to type 2 diabetes. Alpha cell dysregulation impacted the time course of the standard markers of diabetes (fasting glucose, 2 h plasma glucose and HbA) during disease progression.

CONCLUSIONS/INTERPRETATION: The early stages of alpha cell dysregulation led to robust beta cell functional mass compensation driven by elevated fasting glucose. When the dysregulation progressed further, glucose levels rose to levels of glucotoxicity, exacerbating beta cell functional mass loss and accelerating the onset of type 2 diabetes. The various markers of diabetes (fasting glucose, 2 h plasma glucose and HbA) differed in terms of the prediction of timing of onset of disease, depending on the extent of alpha cell dysregulation.

摘要

目的/假设:α细胞调节异常是2型糖尿病病理生理学的一个组成部分,会使空腹血糖和餐后血糖浓度升高。α细胞调节异常与胰岛素抵抗的发展以及β细胞功能变化同时出现。我们的目的是使用数学模型研究α细胞调节异常在β细胞代偿性胰岛素分泌以及随后从正常血糖进展为美国糖尿病协会(ADA)标准定义的2型糖尿病过程中β细胞功能衰竭里所起的作用。

方法

我们建立了一个葡萄糖稳态的生理模型,其中葡萄糖、胰岛素和胰高血糖素的快速动态变化与β细胞功能质量(单个β细胞功能能力和质量的乘积)的动态变化相耦合。β细胞功能质量在高血糖刺激下最初会出现代偿性增加,随后由于糖毒性最终下降。α细胞调节异常定义为胰高血糖素分泌增加和胰高血糖素抑制作用降低导致高血糖,我们在不同程度上引入α细胞调节异常,并进行模拟以评估其在20年期间对β细胞功能质量的影响。

结果

模拟是在中度、轻度或无α细胞调节异常的条件下进行的。从先前发表的研究中获得的正常血糖个体的胰岛素抵抗、胰高血糖素分泌和抑制参数在20年期间演变为2型糖尿病中观察到的平均值。通过将疾病进展模型模拟得到的β细胞功能质量与先前发表的参数进行直观匹配来验证该模型。这些参数是通过将口服葡萄糖耐量试验(OGTT)模型拟合到一个涵盖从正常血糖到2型糖尿病范围的横断面队列的数据而获得的。我们发现轻度α细胞调节异常引发了强大的β细胞代偿,尽管出现了胰岛素抵抗,但餐后血糖波动仍得到控制。中度α细胞调节异常最初增强了代偿作用,但最终加速了向2型糖尿病的进展。α细胞调节异常在疾病进展过程中影响了糖尿病标准标志物(空腹血糖、餐后2小时血糖和糖化血红蛋白)的时间进程。

结论/解读:α细胞调节异常的早期阶段导致由空腹血糖升高驱动的强大的β细胞功能质量代偿。当调节异常进一步发展时,血糖水平升至糖毒性水平,加剧β细胞功能质量丧失并加速2型糖尿病的发病。糖尿病的各种标志物(空腹血糖、餐后2小时血糖和糖化血红蛋白)在疾病发病时间的预测方面存在差异,这取决于α细胞调节异常的程度。

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