MATHEMATICAL MODELING OF GLUCOSE METABOLISM

葡萄糖代谢的数学模型

• 批准号: 3776863
• 负责人: M QUON
• 金额: --
• 依托单位: NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/3776863
• 关键词: blood glucose; computer simulation; glucose metabolism; glucose tolerance test; human subject; insulin sensitivity /resistance; mathematical model; model design /development; noninsulin dependent diabetes mellitus

Insulin resistance occurs in a variety of pathological states including obesity, non-insulin dependent diabetes mellitus (NIDDM) and hypertension. Decreased glucose effectiveness has been reported in NIDDM. Since insulin resistance and impaired glucose effectiveness may play a role in the pathogenesis of NIDDM, quantitative assessment of these properties is of interest. Recently, a minimal model approach involving mathematical modeling and computer simulation has been used to estimate both insulin sensitivity and glucose effectiveness from the results of a single frequently samples intravenous glucose tolerance test (FSIVGTT). The equations of the minimal model describe changes in plasma glucose concentration as functions of insulin and glucose concentrations. A computer program identifies model parameters that generate a best fit to insulin and glucose data obtained during the FSIVGTT. Thus, the minimal model is able to estimate the relative contributions of insulin and glucose to glucose tolerance. We have used the minimal model to generate specific predictions of both insulin-dependent and insulin-independent glucose metabolism under a variety of conditions. We performed experiments in subjects with insulin dependent diabetes mellitus and in normal subjects to test these predictions. By comparing model predictions with experimental results, we were able to demonstrate that the minimal model underestimates the contributions of insulin and overestimates the contribution of glucose to glucose metabolism. Studies are presently underway to confirm these results and to understand the origin of the discordance between minimal model predictions and experimental results. The data that we collect may allow us to formulate a more accurate and useful mathematical model.

胰岛素抵抗发生在多种病理状态中，包括 肥胖、非胰岛素依赖性糖尿病（NIDDM）和高血压。 据报道，NIDDM患者的血糖有效性降低。 由于胰岛素 抵抗和葡萄糖有效性受损可能在 NIDDM的发病机制，这些属性的定量评估是 兴趣 最近，一种涉及数学的最小模型方法 建模和计算机模拟已被用于估计胰岛素 灵敏度和葡萄糖有效性的结果， 静脉葡萄糖耐量试验（FSIVGTT）。 的 最小模型的方程描述了血糖的变化 胰岛素和葡萄糖浓度的函数。 一 计算机程序识别产生最佳拟合的模型参数 在FSIVGTT期间获得的胰岛素和葡萄糖数据。 最小的， 模型能够估计胰岛素和葡萄糖的相对贡献 对葡萄糖耐量的影响 我们使用最小模型来生成特定的 胰岛素依赖性和非胰岛素依赖性葡萄糖预测 在各种条件下的新陈代谢。 我们进行了实验， 胰岛素依赖型糖尿病受试者和正常受试者， 测试这些预测。 通过比较模型预测和实验 结果，我们能够证明，最小模型低估了 胰岛素的贡献并高估了葡萄糖的贡献 葡萄糖代谢。 目前正在进行研究，以确认这些 结果，并了解最小的不一致的起源 模型预测和实验结果。 我们收集的数据可能 使我们能够建立一个更精确和有用的数学模型。