title: Oral glucose tolerance test minimal model indexes of beta-cell function and insulin sensitivity.
abstract: The simultaneous assessment of quantitative indexes of insulin secretion and action in a single individual is important when quantifying their relative role in the evolution of glucose tolerance in different physiopathological states. Available methods quantify these indexes in relatively nonphysiological conditions, e.g., during glucose clamps or intravenous glucose tolerance tests. Here, we present a method based on a physiological test applicable to large-scale genetic and epidemiologic studies-the oral glucose tolerance test (OGTT). Plasma C-peptide, insulin, and glucose data from a frequently sampled OGTT with 22 samples throughout 300 min (FSOGTT300-22) were analyzed in 11 subjects with various degrees of glucose tolerance. In each individual, two indexes of pancreatic sensitivity to glucose (phis [10(9) min(-1)] and phid [10(9)]) and the insulin sensitivity index (SI) (10(5) dl/kg per min per pmol/l) were estimated by using the minimal model of C-peptide secretion and kinetics originally proposed for intravenous graded glucose infusion and the minimal model approach recently proposed for meal/OGTTs. The indexes obtained from FSOGTT300-22 were used as a reference for internal validation of OGTT protocols with reduced sampling schedules. Our results show that 11 samples in a 300-min period (OGTT300-11) is the test of choice because the indexes it provides (phis = 36 +/- 3 [means +/- SE]; phid = 710 +/- 111; SI = 10.2 +/- 2.4) show excellent correlation and are not statistically different from those of FSOGTT300-22 (phis = 33 +/- 3; phid = 715 +/- 120; SI = 10.1 +/- 2.3). In conclusion, OGTT300-11, interpreted with C-peptide and glucose minimal models, provides a quantitative description of beta-cell function and insulin sensitivity in a single individual while preserving the important clinical classification of glucose tolerance provided by the standard 120-min OGTT.
authors.affiliation: Department of Electronics and Informatics, University of Padova, Italy.
authors.forename: E
authors.initials: E
authors.lastname: Breda
authors.forename: M K
authors.initials: MK
authors.lastname: Cavaghan
authors.forename: G
authors.initials: G
authors.lastname: Toffolo
authors.forename: K S
authors.initials: KS
authors.lastname: Polonsky
authors.forename: C
authors.initials: C
authors.lastname: Cobelli
mesh_terms: D000328:Adult; D001786:Blood Glucose / Q000032:analysis; D002096:C-Peptide / Q000097:blood; D005260:Female; D005951:Glucose Tolerance Test; D006801:Humans; D007328:Insulin / Q000097:blood; D007333:Insulin Resistance; D007515:Islets of Langerhans / Q000502:physiology*; D008297:Male; D008954:Models, Biological; D013048:Specimen Handling / Q000379:methods
chemical_list: D001786:Blood Glucose; D002096:C-Peptide; D007328:Insulin