Parameter estimation for the oral minimal model and parameter distinctions between obese and non-obese type 2 diabetes

Manoja Rajalakshmi Aravindakshan, Devleena Ghosh, Chittaranjan Mandal, K V Venkatesh, Jit Sarkar, Partha Chakrabarti, Sujay K Maity
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Abstract

Oral Glucose Tolerance Test (OGTT) is the primary test used to diagnose type 2 diabetes mellitus (T2DM) in a clinical setting. Analysis of OGTT data using the Oral Minimal Model (OMM) along with the rate of appearance of ingested glucose (Ra) is performed to study differences in model parameters for control and T2DM groups. The differentiation of parameters of the model gives insight into the behaviour and physiology of T2DM. The model is also studied to find parameter differences among obese and non-obese T2DM subjects and the sensitive parameters were co-related to the known physiological findings. Sensitivity analysis is performed to understand changes in parameter values with model output and to support the findings, appropriate statistical tests are done. This seems to be the first preliminary application of the OMM with obesity as a distinguishing factor in understanding T2DM from estimated parameters of insulin-glucose model and relating the statistical differences in parameters to diabetes pathophysiology.
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口服最小模型的参数估计以及肥胖型和非肥胖型 2 型糖尿病的参数区分
口服葡萄糖耐量试验(OGTT)是临床诊断 2 型糖尿病(T2DM)的主要试验。使用口服最小模型(OMM)分析 OGTT 数据以及摄入葡萄糖的出现率(Ra),研究对照组和 T2DM 组模型参数的差异。模型参数的差异有助于深入了解 T2DM 的行为和生理学。还对模型进行了研究,以发现肥胖和非肥胖 T2DM 受试者之间的参数差异,并将敏感参数与已知的生理结果联系起来。进行了敏感性分析,以了解参数值随模型输出的变化,并进行了适当的统计检验,以支持研究结果。这似乎是首次初步应用 OMM,以肥胖作为区分因素,从胰岛素-葡萄糖模型的估计参数了解 T2DM,并将参数的统计差异与糖尿病病理生理学联系起来。
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