Integrated mathematical model to assess beta-cell activity during the oral glucose test

A model describing beta-cell secretion during an oral glucose tolerance test (OGTT) is introduced. The aim was to quantify beta-cell activity in different pathologies by analyzing peripheral concentration data of insulin, C-peptide, and islet amyloid polypeptide (IAPP). Insulin appearance in periphery is given by the fraction of C-peptide secretion, CPS(t), which accounts for liver degradation. A novelty of this study is the inclusion of IAPP delivery assumed proportional to CPS(t). Although IAPP fractional clearance is estimated in every subject, the clearances of insulin and C-peptide are assigned from a wide set of previous independent studies. Sensitivity analysis was performed to quantify the ''error'' in the estimated variables due to these assignments. All parameters relating to beta-cell secretion increased in the glucose-intolerant states [integrated CPS(t) = 56 +/- 8 nmol/l in 180 min vs. 32 +/- 3 of controls, P < 0.05; total IAPP delivery = 83 +/- 21 pmol/l in 180 min vs. 41 +/- 6, P < 0.05]. Elevated plasma IAPP concentration of the patients was due to augmented secretion since IAPP clearance was found to be even slightly greater than in controls (0.053 +/- 0.011 vs. 0.034 +/- 0.004 min(-1)) and markedly lower than that of insulin (0.14 +/- 0.02, P < 0.01). In conclusion, the model introduced here allows the characterization of beta-cell secretory parameters during a simple test such as OGTT.