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Dynamics of insulin action in hypertension: assessment from minimal model interpretation of intravenous glucose tolerance test data.

Authors :
Burattini, Roberto
Morettini, Micaela
Di Nardo, Francesco
Boemi, Massimo
Source :
Medical & Biological Engineering & Computing. Jul2011, Vol. 49 Issue 7, p831-841. 11p. 2 Charts, 6 Graphs.
Publication Year :
2011

Abstract

Based on glucose kinetics minimal model (GKMM) interpretation of frequently sampled intravenous glucose tolerance test (FSIGTT), the aim was to broaden the characterization of insulin-mediated glucose disposal in hypertension by aid of a dynamic insulin sensitivity index, $$ S_{\text{I}}^{\text{D}} $$, and the related efficiency, $$ \eta = S_{\text{I}}^{\text{D}} /S_{\text{I}} , $$ of the metabolic system to convert the maximal individual response capacity, measured by S, into an effective insulin control on glucose. The C-peptide minimal model (CPMM) was used to interpret the role of β-cell function. Plasma glucose, insulin, and C-peptide concentrations were measured, during a 5-h FSIGTT, in eighteen normoglycemic individuals: ten hypertensive patients (H-group) and eight normotensive subjects (N-group) with no metabolic syndrome. Compared to our N-group, the H-group showed a significant ( P < 0.05) reduction of both S (56%) and $$ S_{\text{I}}^{\text{D}} $$ (50%), no significant change of η, a significant increase of both the first-phase β-cell responsiveness to glucose (105%) and total insulin secretion (55%), and no significant change in disposition indexes, defined as the product of insulin sensitivity (either S and $$ S_{\text{I}}^{\text{D}} $$) and β-cell responsiveness. These findings suggest that, in spite of no change of efficiency, insulin resistance in normoglycemic hypertensive patients is primarily compensated by an increase in first-phase insulin secretion to preserve glucose tolerance to intravenous glucose load. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01400118
Volume :
49
Issue :
7
Database :
Academic Search Index
Journal :
Medical & Biological Engineering & Computing
Publication Type :
Academic Journal
Accession number :
61843415
Full Text :
https://doi.org/10.1007/s11517-011-0760-0