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A system model of oral glucose absorption: validation on gold standard data
Chiara Dalla Man1, Michael Camilleri, Claudio Cobelli
1Department of Information Engineering, University of Padova, Padova 35131, Italy. chiara.dallaman@dei.unipd.it
A new nonlinear model accurately describes intestinal glucose absorption rates (Ra) using novel tracer data. This validated model aids simulations and studies of glucose absorption in conditions like diabetes.
Area of Science:
- Physiology
- Biomedical Engineering
- Endocrinology
Background:
- Developing reliable models for oral glucose absorption is crucial for simulations and understanding disease pathophysiology.
- A key challenge has been the lack of gold-standard data, specifically rates of appearance (Ra) of ingested glucose in plasma, for model validation.
Purpose of the Study:
- To formulate a system model of intestinal glucose absorption utilizing newly available, model-independent multiple tracer technique-derived Ra data.
- To test and compare the performance of existing and newly developed models against this advanced dataset.
Main Methods:
- Utilized a model-independent multiple tracer technique to estimate rates of appearance (Ra) of ingested glucose in plasma.
- Formulated a system model for intestinal glucose absorption based on the new Ra data.
- Tested two published and two newly developed models against the Ra data set.
Main Results:
- One of the two newly developed models demonstrated superior performance.
- This best-performing model is nonlinear, accurately describes the Ra data, and has parameters estimated with high precision.
- The model's performance was validated against the new gold-standard Ra data.
Conclusions:
- A novel, nonlinear system model of intestinal glucose absorption has been successfully developed and validated.
- This model shows significant potential for use in simulation contexts, including integration into whole-body glucose regulatory models.
- It can also be applied in physiological and clinical studies to quantitatively assess impaired glucose absorption in populations like the elderly and diabetic individuals.
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