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Objectives: To develop a modified insulin-glucose system feedback model for quantitatively capturing insulin and glucose profiles in Chinese healthy, obese, and patients with T2DM after frequently sampled intravenous glucose tolerance test (FSIGT).Methods: The dataset applied to establish the model was derived from 4 groups: Chinese healthy subjects, obese subjects with normal glucose tolerance (NGT), impaired glucose tolerance (IGT), and type 2 diabetes mellitus (T2DM).220 subjects underwent 75g oral glucose test (OGTT)and insulin-modified frequently sampled intravenous glucose tolerance test (FSIGT).Mean glucose and insulin concentration data were digitized from published data [1] using digitizer.A reciprocal feedback model was used to capture the glucose and insulin dynamic characteristics using ADAPT 5 and Berkeley Madonna platform.The indirect response model was applied to describe the plasma glucose and insulin production, elimination, and interaction.The increase of insulin concentration stimulated the utilization of glucose.Similarly, the increase of plasma glucose concentration stimulated the secretion of insulin.Finally, we could estimate the parameters which were related to pharmacodynamics and disease characteristics.Results: The feedback model could successfully capture the characteristics of insulin and glucose in Chinese healthy, obese, and patients with T2DM and physiological/pathological parameters were estimated.The CV% of the parameters were tolerable.Conclusions: A mechanism-based model was established to quantitatively describe the characteristic of glucose-insulin system in Chinese healthy, obese, and patients with T2DM.The model may be potentially applied to drug evaluation and patients diagnostics.