Assessment of hepatic insulin degradation, in normoglycemic hypertensive patients, by minimal modelling of standard intravenous glucose tolerance test data.
Role of hepatic insulin degradation in modulating insulin delivery to peripheral circulation, in insulin-resistant hypertensive patients, is not yet fully understood. This issue was investigated here by a novel application to hypertension of a previously proposed minimal modelling of insulin and C-peptide data, using population values for insulin and C-peptide kinetics parameters. Data, from frequently sampled intravenous glucose tolerance test (FSIGTT), were analysed in ten normoglycemic, hypertensive patients (H-group), compared with eight normoglycemic, normotensive subjects (N-group), matched for age, gender and body mass index. Minimal modelling of C-peptide and insulin data provided beta-cell responsiveness to glucose perturbation (first, Phi(1), second, Phi(2), and basal, Phi(b), phase), insulin secretion rate, ISR(t) and total pre-hepatic insulin secretion, TIS, as well as insulin delivery rate, IDR(t), and total insulin delivery, TID, into plasma, over 5-h test. Instantaneous normalized hepatic insulin degradation rate was computed as HIDR(t)=1-[IDR(t)/ISR(t)]. In our H-group, insulin sensitivity, S(I), assessed by minimal model of glucose kinetics, showed a 56% reduction, which confirmed deterioration of insulin action in hypertension. This was associated with significant increase in Phi(1) (105%), TIS (55%) and TID (62%). No significant alterations were observed in other characteristic parameters of secretion and hepatic degradation of insulin, such that no significant difference was observed in HIDR(t) between our H and N groups. In conclusion, an increase of first phase and total insulin secretion occurring, in our H-group, in the presence of no alteration of hepatic insulin degradation, resulted in up-regulation of total insulin delivered to plasma (TID) for insulin-resistance compensation.
Di Nardo
Francesco
F
Department of Biomedical, Electronics and Telecommunication Engineering, Polytechnic University of Marche, 60131 Ancona, Italy.
Boemi
Massimo
M
Burattini
Roberto
R
D001786:Blood Glucose / Q000378:metabolism*; D003198:Computer Simulation; D003936:Diagnosis, Computer-Assisted / Q000379:methods; D005260:Female; D005951:Glucose Tolerance Test / Q000379:methods*; D006801:Humans; D006943:Hyperglycemia / Q000175:diagnosis / Q000378:metabolism; D006973:Hypertension / Q000175:diagnosis* / Q000378:metabolism*; D007328:Insulin / Q000097:blood*; D008099:Liver / Q000378:metabolism*; D008297:Male; D008657:Metabolic Clearance Rate; D008875:Middle Aged; D008954:Models, Biological
D001786:Blood Glucose; D007328:Insulin