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Glucose effectiveness, defined as the ability of glucose itself to increase glucose utilization and inhibit hepatic glucose production, is an important mechanism maintaining normoglycemia. We conducted a minimal modeling analysis of glucose effectiveness at zero insulin ( GEZI ) using intravenous glucose tolerance test data from subjects with type 2 diabetes (T2D, n=154) and non-diabetic (ND) subjects (n=343). A hierarchical statistical analysis was performed, which provided a formal mechanism for pooling the data from all study subjects, to yield a single composite population model that quantifies the role of subject specific characteristics such as weight, height, age, sex, and glucose tolerance. Based on the resulting composite population model, GEZI was reduced from 0.021 min -1 (standard error - 0.00078 min -1 ) in the ND population to 0.011 min -1 (standard error - 0.00045 min -1 ) in T2D. The resulting model was also employed to calculate the proportion of the non-insulin-dependent net glucose uptake in each subject receiving an intravenous glucose load. Based on individual parameter estimates, the fraction of total glucose disposal independent of insulin was 72.8% ± 12.0% in the 238 ND subjects over the course of the experiment, indicating the major contribution to the whole-body glucose clearance under non-diabetic conditions. This fraction was significantly reduced to 48.8% ± 16.9% in the 30 T2D subjects, although still accounting for approximately half of the total in the T2D population based on our modeling analysis. Given the potential application of glucose effectiveness as a predictor of glucose intolerance and as a potential therapeutic target for treating diabetes, more investigations of glucose effectiveness in other disease conditions can be conducted using the hierarchical modeling framework reported herein., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 Hu, Lu, Tura, Pacini and D’Argenio.)

Background: This study aimed to design a simple surrogate marker (i.e., predictor) of the minimal model glucose effectiveness (S G ), namely calculated S G (CS G ), from a short insulin-modified intravenous glucose tolerance test (IM-IVGTT), and then to apply it to study women with previous gestational diabetes mellitus (pGDM)., Methods: CS G was designed using the stepwise model selection approach on a population of subjects ( n =181) ranging from normal tolerance to type 2 diabetes mellitus (T2DM). CS G was then tested on a population of women with pGDM ( n =57). Each subject underwent a 3-hour IM-IVGTT; women with pGDM were observed early postpartum and after a follow-up period of up to 7 years and classified as progressors (PROG) or non-progressors (NONPROG) to T2DM. The minimal model analysis provided a reference S G ., Results: CS G was described as CS G =1.06×10⁻²+5.71×10⁻²×K G /G peak , K G being the mean slope (absolute value) of loge glucose in 10-25- and 25-50-minute intervals, and G peak being the maximum of the glucose curve. Good agreement between CS G and S G in the general population and in the pGDM group, both at baseline and follow-up (even in PROG and NONPROG subgroups), was shown by the Bland-Altman plots (<5% observations outside limits of agreement), and by the test for equivalence (equivalence margin not higher than one standard deviation). At baseline, the PROG subgroup showed significantly lower S G and CS G values compared to the NONPROG subgroup ( P <0.03)., Conclusion: CS G is a valid S G predictor. In the pGDM group, glucose effectiveness appeared to be impaired in women progressing to T2DM., Competing Interests: No potential conflict of interest relevant to this article was reported., (Copyright © 2020 Korean Diabetes Association.)

Aims: This study analysed potential sex differences in glucose metabolism of European subjects with different degrees of glucose tolerance impairment., Methods: Subjects with impaired glucose metabolism, IGM (n = 735), or type 2 diabetes, T2DM (n = 415), were compared to subjects with normal glucose tolerance, NGT (n = 422), with similar BMI. For both males (M) and females (F), 50 years threshold was used for estimation of menopausal/andropausal state. Subjects underwent 75-g OGTT for measurements of insulin sensitivity (OGIS), beta-cell function (insulinogenic index, IGI C ), and overall metabolic condition, disposition index (DI)., Results: In IGM, OGIS did not change with age in both sexes, whereas marked reduction of IGI C was seen in F (p = 0.0003). In T2DM, again OGIS did not change with age, but M ≥ 50 yrs had reduced IGI C and DI (p < 0.002) compared to M < 50 yrs., Conclusions: IGM did not reveal relevant changes of insulin resistance with age, but early phase insulin release deteriorated, with higher change in women. T2DM men featured age-related deterioration of glucose metabolism. In women, sex advantage seen in NGT vanished in T2DM, since glucose metabolism was overall not different than in men, both young and elderly., (Copyright © 2018 Elsevier B.V. All rights reserved.)

Aims: Minimal model analysis of intravenous glucose tolerance test (IVGTT) data represents the reference method to assess insulin sensitivity (S I ) and glucose effectiveness (S G ) that quantify the insulin-dependent and insulin-independent processes of glucose disappearance, respectively. However, test duration (3 h) and need for modeling expertise limit the applicability of this method. Aim of this study was providing a simple predictor of S G applicable to short test (1 h), as previously done with S I ., Methods: Three groups of subjects reflecting different glucose tolerance degrees underwent a 3 h IVGTT: subjects with normal glucose tolerance (NGT, n = 164), with defective glucose regulation (DGR, n = 191), and with type 2 diabetes (T2D, n = 39). Minimal model analysis provided reference S G and its components at zero (GEZI) and basal (BIE) insulin. The simple predictor CS G (calculated S G ) was described by the formula CS G  = α 0  + α 1  × K G /G peak , being K G the glucose disappearance rate (between 10 and 50 min) and G peak the maximum of the glucose curve during the test; α 0 and α 1 coefficients were provided by linear regression analysis., Results: CS G and S G showed a markedly significant relationship in the whole dataset (r = 0.72, p < 0.0001) and in the single groups (r = 0.70 in NGT, r = 0.71 in DGR and r = 0.70 in T2D, p < 0.0001 for all); α 1  × K G /G peak was significantly related to GEZI (r ≥ 0.60)., Conclusions: The interest for insulin-independent glucose disappearance is increasing, due to the recent availability of SGLT2 pharmacological agents, lowering glycemic levels without requiring insulin action. This study proposes a reliable predictor of S G based on IVGTT lasting 1 h only, and not requiring mathematical modeling skills.

Aims/hypothesis: The euglycaemic-hyperinsulinaemic clamp is the gold-standard method for measuring insulin sensitivity, but is less suitable for large clinical trials. Thus, several indices have been developed for evaluating insulin sensitivity from the oral glucose tolerance test (OGTT). However, most of them yield values different from those obtained by the clamp method. The aim of this study was to develop a new index to predict clamp-derived insulin sensitivity (M value) from the OGTT-derived oral glucose insulin sensitivity index (OGIS)., Methods: We analysed datasets of people that underwent both a clamp and an OGTT or meal test, thereby allowing calculation of both the M value and OGIS. The population was divided into a training and a validation cohort (n = 359 and n = 154, respectively). After a stepwise selection approach, the best model for M value prediction was applied to the validation cohort. This cohort was also divided into subgroups according to glucose tolerance, obesity category and age., Results: The new index, called PREDIcted M (PREDIM), was based on OGIS, BMI, 2 h glucose during OGTT and fasting insulin. Bland-Altman analysis revealed a good relationship between the M value and PREDIM in the validation dataset (only 9 of 154 observations outside limits of agreement). Also, no significant differences were found between the M value and PREDIM (equivalence test: p < 0.0063). Subgroup stratification showed that measured M value and PREDIM have a similar ability to detect intergroup differences (p < 0.02, both M value and PREDIM)., Conclusions/interpretation: The new index PREDIM provides excellent prediction of M values from OGTT or meal data, thereby allowing comparison of insulin sensitivity between studies using different tests.

Early reexamination of carbohydrate metabolism via an oral glucose tolerance test (OGTT) is recommended after pregnancy with gestational diabetes (GDM). In this report, we aimed to assess the dominant patterns of dynamic OGTT measurements and subsequently explain them by meanings of the underlying pathophysiological processes. Principal components analysis (PCA), a statistical procedure that aims to reduce the dimensionality of multiple interrelated measures to a set of linearly uncorrelated variables (the principal components) was performed on OGTT data of glucose, insulin and C-peptide in addition to age and body mass index (BMI) of 151 women (n = 110 females after GDM and n = 41 controls) at 3-6 mo after delivery. These components were explained by frequently sampled intravenous glucose tolerance test (FSIGT) parameters. Moreover, their relation with the later development of overt diabetes was studied. Three principal components (PC) were identified, which explained 71.5% of the variation of the original 17 variables. PC1 (explained 47.1%) was closely related to postprandial OGTT levels and FSIGT-derived insulin sensitivity (r = 0.68), indicating that it mirrors insulin sensitivity in the skeletal muscle. PC2 (explained 17.3%) and PC3 (explained 7.1%) were shown to be associated with β-cell failure and fasting (i.e., hepatic) insulin resistance, respectively. All three components were related with diabetes progression (occurred in n = 25 females after GDM) and showed significant changes in long-term trajectories. A high amount of the postpartum OGTT data is explained by principal components, representing pathophysiological mechanisms on the pathway of impaired carbohydrate metabolism. Our results improve our understanding of the underlying biological processes to provide an accurate postgestational risk stratification., (Copyright © 2015 the American Physiological Society.)

Insulin administration during insulin-modified intravenous glucose tolerance test (IM-IVGTT) can induce transient hypoglycemia in healthy insulin-sensitive subjects. This triggers counterregulatory reflex (CRR) responses, which influence the kinetics of glucose and nonesterified fatty acids (NEFA), and undermines the accuracy of mathematical modeling methods that do not explicitly account for CRR. The aim of this study is to evaluate mathematical models of glucose and NEFA kinetics against experimental data in the presence or absence of CRR. Thirteen healthy nondiabetic subjects underwent a standard IM-IVGTT and a modified test (GC-IM-IVGTT) with a variable glucose infusion preventing hypoglycemia. While model predictions fit very well with glucose and NEFA data from GC-IM-IVGTT, they lagged behind observations from IM-IVGTT during recovery from hypoglycemia, independently of insulinemia, which did not differ significantly between protocols. A modification to the glucose minimal model, using the glucose concentration below a threshold as a signal for CRR, improves model predictions for both glucose and NEFA. The associated increase in endogenous glucose production correlates, among various CRR hormones, mainly with the dynamics of glucagon concentration. The modified minimal models introduce new parameters that quantify strength and duration of CRR following hypoglycemia. Although CRR represents an unwanted side-effect in IM-IVGTT occurring only in insulin-sensitive subjects, this study provides new insights leading to improved procedures for estimating insulin sensitivity from IM-IVGTT, which may also allow for assessing the individual capacity of recovery from hypoglycemic events in patients treated with insulin or insulin-releasing drugs., (Copyright © 2014 the American Physiological Society.)

Objective: We studied whether patterns of glucose absorption during oral glucose tolerance tests (OGTTs) were abnormal in individuals with impaired glucose regulation and whether they were related to sex and body size (height and fat-free mass). We also examined how well differences in insulin sensitivity and β-cell function measured by gold-standard tests were reflected in the corresponding OGTT-derived estimates., Research Design and Methods: With validated methods, various aspects of glucose absorption were estimated from 12-point, 3-h, 75-g OGTTs in 66 individuals with normal glucose tolerance (NGT), isolated impaired fasting glucose (i-IFG), or isolated impaired glucose tolerance (i-IGT). Insulin sensitivity and β-cell function were measured with the euglycemic-hyperinsulinemic clamp and intravenous glucose tolerance tests, respectively. Surrogate markers of both conditions were calculated from OGTTs., Results: More rapid glucose absorption (P ≤ 0.036) and reduced late glucose absorption (P ≤ 0.039) were observed in the i-IFG group relative to NGT and i-IGT groups. Women with i-IGT had a lower early glucose absorption than did men with i-IGT (P = 0.041); however, this difference did not persist when differences in body size were taken into account (P > 0.28). Faster glucose absorption was related to higher fasting (P = 0.001) and lower 2-h (P = 0.001) glucose levels and to greater height and fat-free mass (P < 0.001). All OGTT-derived measures of insulin sensitivity, but only one of three measures of β-cell function, reflected the differences for these parameters between those with normal and impaired glucose regulation as measured by gold-standard tests., Conclusions: Glucose absorption patterns during an OGTT are significantly related to plasma glucose levels and body size, which should be taken into account when estimating β-cell function from OGTTs in epidemiological studies.

In order to provide a method for precise identification of insulin sensitivity from clinical Oral Glucose Tolerance Test (OGTT) observations, a relatively simple mathematical model (Simple Interdependent glucose/insulin MOdel SIMO) for the OGTT, which coherently incorporates commonly accepted physiological assumptions (incretin effect and saturating glucose-driven insulin secretion) has been developed. OGTT data from 78 patients in five different glucose tolerance groups were analyzed: normal glucose tolerance (NGT), impaired glucose tolerance (IGT), impaired fasting glucose (IFG), IFG+IGT, and Type 2 Diabetes Mellitus (T2DM). A comparison with the 2011 Salinari (COntinuos GI tract MOdel, COMO) and the 2002 Dalla Man (Dalla Man MOdel, DMMO) models was made with particular attention to insulin sensitivity indices ISCOMO, ISDMMO and kxgi (the insulin sensitivity index for SIMO). ANOVA on kxgi values across groups resulted significant overall (P<0.001), and post-hoc comparisons highlighted the presence of three different groups: NGT (8.62×10(-5)±9.36×10(-5) min(-1)pM(-1)), IFG (5.30×10(-5)±5.18×10(-5)) and combined IGT, IFG+IGT and T2DM (2.09×10(-5)±1.95×10(-5), 2.38×10(-5)±2.28×10(-5) and 2.38×10(-5)±2.09×10(-5) respectively). No significance was obtained when comparing ISCOMO or ISDMMO across groups. Moreover, kxgi presented the lowest sample average coefficient of variation over the five groups (25.43%), with average CVs for ISCOMO and ISDMMO of 70.32% and 57.75% respectively; kxgi also presented the strongest correlations with all considered empirical measures of insulin sensitivity. While COMO and DMMO appear over-parameterized for fitting single-subject clinical OGTT data, SIMO provides a robust, precise, physiologically plausible estimate of insulin sensitivity, with which habitual empirical insulin sensitivity indices correlate well. The kxgi index, reflecting insulin secretion dependency on glycemia, also significantly differentiates clinically diverse subject groups. The SIMO model may therefore be of value for the quantification of glucose homeostasis from clinical OGTT data.

Risk stratification after pregnancy with gestational diabetes mellitus (GDM) is based on screening with the 2-h oral glucose tolerance test (OGTT). Actually, prediabetes and diabetes are diagnosed by impaired fasting [fasting plasma glucose (FPG)] and 120 min-postload glucose levels (120'-PLG). We hypothesized that the clinical information could be improved by including measurements at different time points from the OGTT in the medical decision-making process. One hundred ten women with previous gestational diabetes (pGDM) and 41 controls were included 3-6 mo after delivery and underwent specific metabolic assessments: 3-h OGTT, frequently sampled intravenous glucose tolerance test (FSIGT) with markers of inflammation and endothelial function. pGDMs were annually invited for reexaminations for a maximum of 10 yr. Multiple linear regression suggested that postload glucose levels at 60 min (60'-PLG) were a better predictor for insulin sensitivity [β: -0.10, 95% confidence interval (CI) -0.14 to -0.05, P < 0.001] and disposition index (DI) (β: -0.07, 95% CI -0.12 to -0.02, P = 0.004) estimated from the FSIGT compared with other time points during the OGTT. The association between 60'-PLG and insulin secretion was of particular importance in women after GDM. We further identified associations of 60'-PLG with ultrasensitive C-reactive protein, plasminogen activator inhibitor 1, tissue plasminogen activator, endothelial-leukocyte adhesion molecule 1, and intercellular adhesion molecule (ICAM)-1. There appeared to be no interactions between females with pGDM and controls, suggesting comparable effects. We observed that 60'-PLG levels were closely related to the later onset of diabetes independent from the routinely measured FPG and 120'-PLG levels. Our data suggest that the sole interpretation of FPG and 120'-PLG of the OGTT leads to significant loss of information. Particularly 60'-PLG was shown to distinguish women at low or high metabolic and cardiovascular risk.

The development of new therapies for the treatment of type 2 diabetes requires robust, reproducible and well validated in vivo experimental systems. Mice provide the most ideal animal model for studies of potential therapies. Unlike larger animals, mice have a short gestational period, are genetically similar, often give birth to many offspring at once and can be housed as multiple groups in a single cage. The mouse model has been extensively metabolically characterized using different tests. This report summarizes how these tests can be executed and how arising data are analyzed to confidently determine changes in insulin resistance and insulin secretion with high reproducibility. The main tests for metabolic assessment in the mouse reviewed here are the glucose clamp, the intravenous and the oral glucose tolerance tests. For all these experiments, including some commonly adopted variants, we describe: (i) their performance; (ii) their advantages and limitations; (iii) the empirical formulas and mathematical models implemented for the analysis of the data arising from the experimental procedures to obtain reliable measurements of peripheral insulin sensitivity and beta cell function. Finally, a list of previous applications of these methods and analytical techniques is provided to better comprehend their use and the evidences that these studies yielded.

Aims/hypothesis: B-type natriuretic peptide (BNP) is a hormone released from cardiomyocytes in response to cell stretching and elevated in heart failure. Recent observations indicate a distinct connection between chronic heart failure and diabetes mellitus. This study investigated the role of BNP on glucose metabolism., Methods: Ten healthy volunteers (25 ± 1 years; BMI 23 ± 1 kg/m(2); fasting glucose 4.6 ± 0.1 mmol/l) were recruited to a participant-blinded investigator-open placebo-controlled cross-over study, performed at a university medical centre. They were randomly assigned (sequentially numbered opaque sealed envelopes) to receive either placebo or 3 pmol kg(-1) min(-1) BNP-32 intravenously during 4 h on study day 1 or 2. One hour after beginning the BNP/placebo infusion, a 3 h intravenous glucose tolerance test (0.33 g/kg glucose + 0.03 U/kg insulin at 20 min) was performed. Plasma glucose, insulin and C-peptide were frequently measured., Results: Ten volunteers per group were analysed. BNP increased the initial glucose distribution volume (13 ± 1% body weight vs 11 ± 1%, p < 0.002), leading to an overall reduction in glucose concentration (p < 0.001), particularly during the initial 20 min of the test (p = 0.001), accompanied by a reduction in the initial C-peptide levels (1.42 ± 0.13 vs 1.62 ± 0.10 nmol/l, p = 0.015). BNP had no impact on beta cell function, insulin clearance or insulin sensitivity and induced no adverse effects., Conclusions/interpretation: Intravenous administration of BNP increases glucose initial distribution volume and lowers plasma glucose concentrations following a glucose load, without affecting beta cell function or insulin sensitivity. These data support the theory that BNP has no diabetogenic properties, but improves metabolic status in men, and suggest new questions regarding BNP-induced differences in glucose availability and signalling in various organs/tissues., Trial Registration: ClinicalTrials.gov: NCT01324739, Funding: The study was funded by Jubilée Fonds of the Austrian National Bank (OeNB-Fonds).

Objective: Women with gestational diabetes mellitus (GDM) show reduced insulin sensitivity and markedly elevated glucose excursions. After delivery, GDM mostly reverts to normal glucose tolerance (NGT), although leaving an increased risk of type 2 diabetes. Because gastrointestinal function changes during pregnancy causing vomiting, constipation, or reduced motility, we thought that gut glucose absorption in GDM or pregnancy might be altered to affect circulating glucose excursions., Research Design and Methods: By undergoing 180-min oral glucose tolerance tests (OGTTs), pregnant women with GDM (GDMpreg; n=15, BMI=32±2 kg/m2, aged 33±1 years) were compared with NGT women (NGTpreg; n=7, BMI=28±1 kg/m2, aged 34±2 years), matching for major anthropometric characteristics (each P>0.2). After delivery (6-7 months later), both groups were studied the same way. We computed and mathematically modeled gut glucose absorption from insulin-mediated glucose disappearance and endogenous glucose production (EGP). Whole-body insulin sensitivity was calculated using the Clamp-like Index., Results: GDMpreg showed 16-25% higher plasma glucose concentrations (P<0.04) during the final 2 h of OGTT, similar EGP, but lower (P<0.01) insulin sensitivity (2.7±0.2 mg·kg(-1)·min(-1) vs. NGTpreg: 4.5±0.8 mg·kg(-1)·min(-1)). In GDMpreg, gut glucose absorption rates were ≤52% lower from 30 to 120 min (P<0.03 vs. conditions after delivery or NGTpreg). In contrast, glucose absorption rates in NGTpreg were comparable during and after pregnancy. None of the studied women developed diabetes after delivery., Conclusions: In GDMpreg, OGTT gut glucose absorption is markedly lower during hyperglycemia, whereas both glycemia and glucose absorption in NGTpreg are comparable between pregnant and postpartum states. Thus, hyperglycemia in GDM does not seem to result from too rapid or increased glucose absorption.

The increase in insulin secretion caused by glucagon-like peptide-1 (GLP-1) and GLP-1 mimetics observed during an intravenous glucose test (IVGTT) has been reported in both normal and disease animal models, as well as in humans. In this study, a hierarchical population modeling approach is used, together with a previously reported model relating glucose to insulin appearance, to determine quantitative in vivo dose-response relationships between GLP-1 dose level and both first- and second-phase insulin release. Parameters of the insulin kinetic model were estimated from the complete set of glucose and insulin data collected in 219 anesthetized nonfasted NMR-imaged mice after intravenous injection of glucose (1 g/kg) alone or with GLP-1 (0.03-100 nmol/kg). The resulting dose-response curves indicate a difference in GLP-1 effect on the two release phases, as is also evident from the different ED(50) parameter values (0.107 vs. 6.65 nmol/kg for phase 1 vs. phase 2 insulin release parameters). The first phase of insulin release is gradually augmented with increasing GLP-1 dose, reaching saturation at a dose of ~1 nmol/kg, while the second-phase release changes more abruptly at GLP-1 doses between 3 and 10 nmol/kg and shows a more pronounced 100-fold increase between control and the high GLP-1 dose of 100 nmol/kg Moreover, separate disposition indices calculated for phase 1 and 2 insulin release, show a different pattern of increase with increasing GLP-1 dose.

Background: Several epidemiological studies revealed sex-specific differences during oral glucose tolerance tests (OGTTs), such as higher prevalence of glucose intolerance (i.e. increased glucose at the end of the OGTT) in females, which was not yet explained. Thus, we aimed to analyze sex-related distinctions on OGTT glucose metabolism, including gut absorption, in healthy humans., Methods: Females (n = 48) and males (n = 26) with comparable age (females, 45 ± 1 yr; males, 44 ± 2 yr) and body mass index (both, 25 ± 1 kg/m(2)) but different height (females, 166 ± 1 cm; males, 180 ± 2 cm; P < 0.000001), all normally glucose tolerant, as tested by frequently sampled, 3-h (75-g) OGTTs, underwent hyperinsulinemic [40 mU/(min · m(2))] isoglycemic clamp tests with simultaneous measurement of endogenous glucose (d-[6,6-(2)H(2)]glucose) production (EGP). EGP and glucose disappearance during OGTT were calculated from logarithmic relationships with clamp test insulin concentrations. After reliable model validation by double-tracer technique (r = 0.732; P < 0.007), we calculated and modeled gut glucose absorption (ABS)., Results: Females showed lower (P < 0.05) fasting EGP [1.4 ± 0.1 mg/(kg · min)] than males [1.7 ± 0.1 mg/(kg · min)] but comparable whole-body insulin sensitivity in clamp tests [females, 8.1 ± 0.4 mg/(kg · min); males, 8.3 ± 0.6 mg/(kg · min)]. Plasma glucose OGTT concentrations were higher (P < 0.04) from 30-40 min in males but from 120-180 min in females. Glucose absorption rates were 21-46% increased in the initial 40 min in males but in females by 27-40% in the third hour (P < 0.05). Gut glucose half-life was markedly higher in females (79 ± 2 min) than in males (65 ± 3 min, P < 0.0001) and negatively related to body height (r = -0.481; P < 0.0001)., Conclusions: This study in healthy, glucose-tolerant humans shows for the first time different ABS rates during OGTT in women and men and a negative relationship between body height and gut glucose half-life. Prolonged ABS in females might therefore contribute to higher plasma glucose concentrations at the end of OGTT.

Gestational diabetes mellitus (GDM) makes women at risk of type 2 diabetes during their life. In order to predict this later abnormal glucose intolerance, several antepartum and postpartum predictors have been identified. In this study we conjecture that future evolution is predictable from morphology of the oral glucose tolerance test (OGTT) curves at baseline. To test our hypothesis, as a first step we evaluated the association between the curve morphologies of normal and diabetic patient condition at baseline. In particular, we analysed glucose and insulin curves of a group of women with a history of GDM. A Self-organizing map (SOM) was proposed to evaluate shape differences among control, normal, impaired glucose tolerance and diabetic curves shape. We compared our results with the currently applied clinical classification. We found that morphology contains information about the current status of the patient, because the SOM analysis clearly allows to discriminate subjects belonging to healthy or diabetic group. Moreover, SOMs highlighted additional information that could be used for prognostic purposes.

Aims/hypothesis: Minimal model analysis for insulin sensitivity has been validated against the glucose clamp and is an accepted method for estimating insulin sensitivity from IVGTT. However minimal model analysis requires a 3 h test and relevant expertise to run the mathematical model. The aim of this study was to suggest a simple predictor of minimal model analysis index using only 1 h IVGTT., Methods: We studied participants with different clinical characteristics who underwent 3 h regular (n = 336) or insulin-modified (n = 160) IVGTT, or 1 h IVGTT and euglycaemic-hyperinsulinaemic clamp (n = 247). Measures of insulin sensitivity were insulin sensitivity index estimated by minimal model analysis (S(I)) and the mean glucose infusion rate (clamp) (M). A calculated S(I) (CS(I)) predictor, CS(I) = Alpha X K(G)/(DeltaAUC(INS)/T), was suggested, based on the calculation of the rate of glucose disappearance K(G) and the suprabasal AUC of insulin concentration DeltaAUC(INS) over T = 40 min. For all the participants, alpha was assumed equal to the regression line slope between K(G)/(DeltaAUC(INS)/T) and S(I) in control participants., Results: CS(I) and S(I) showed high correlation (R(2) = 0.68-0.96) and regression line slopes of approximately one in the majority of groups. CS(I) tended to overestimate S(I) in type 2 diabetic participants, but results were more reliable when CS(I) was computed with insulin-modified rather than regular IVGTT. CS(I) showed behaviours similar to S(I) as regards relationships with BMI, acute insulin response and sex. CS(I) showed good correlation with M (R(2) = 0.82)., Conclusions/interpretation: A short test can achieve a good approximation of minimal model analysis and clamp insulin sensitivity. The importance of a method such as CS(I) is that it allows analysis of IVGTT datasets with samples limited to 1 h.

The use of animal models in diabetes research requires reliable tests for evaluation of insulin sensitivity and beta-cell function. Minipigs are being increasingly used in metabolic research, and the aim of this study was to compare different tests and indexes for evaluation of insulin sensitivity and beta-cell function in Göttingen minipigs. Hyperinsulinemic, isoglycemic clamp, intravenous (IVGTT) and oral glucose tolerance tests (OGTT), and a modified insulin tolerance test were performed in minipigs fed either low- or high-energy diet. Furthermore, the reproducibility of IVGTT-derived parameters was assessed. Previously described insulin sensitivity indexes [steady-state glucose infusion rate/glucose concentration/insulin concentration from clamp (M/G/I); oral glucose insulin sensitivity (OGIS) and ISI(comp) from OGTT; S(I) from minimal model analysis of IVGTT; and quantitative insulin sensitivity check index from fasting values] were calculated together with an insulin sensitivity index from the modified insulin tolerance test (ISI(ITT)) and a new simple index (S2) derived from the first 30 min of the IVGTT. beta-Cell function was assessed from the IVGTT and the OGTT. Reproducibility of the IVGTT-derived parameters was calculated as median intraindividual coefficient of variation (CV%).M/G/I correlated significantly only with S2 (P < 0.05, r = 0.54). S2 furthermore correlated with S(I) (P < 0.001, r = 0.81), ISI(ITT) (P < 0.001, r = 0.57), and the two indexes from OGTT, ISI(comp) (P < 0.001, r = 0.78) and OGIS (p < 0.05, r = 0.48). No correlation was found between beta-cell function indexes from OGTT and IVGTT. The median CV% of the new S2 index was 13. In conclusion, the new simple index of insulin sensitivity, S2, was revealed to be useful for evaluation of insulin sensitivity in pigs.

A frequently used index of beta-cell function from the OGTT is the insulinogenic index, IGI. However, there is still some controversy about its validity. In a group of 145 women with different degrees of glucose tolerance, we compared IGI to the corresponding index with C-peptide, DeltaCP(30)/DeltaG(30), which better describes beta-cell function. We also validated both indices with measurements of beta-cell function derived from IVGTT. IGI strongly correlated (R = 0.82, P < 0.0001) with DeltaCP(30)/DeltaG(30). Both IGI and DeltaCP(30)/DeltaG(30) correlated significantly with the corresponding index from IVGTT, though IGI correlation was stronger (IGI: R = 0.67, P < 0.0001; DeltaCP(30)/DeltaG(30): R = 0.56, P < 0.0001). Also indices derived from areas under the curve of insulin, glucose and C-peptide were analyzed. Finally, we compared IGI to similar indices with samples at 60, 90 and 120 min, more often available than that at 30 min. We conclude that IGI is an acceptable index of beta-cell function, as also mirrored by DeltaCP(30)/DeltaG(30). However, the weaker correlation of the C-peptide index with the more accurate index from the IVGTT suggests that it should be used with caution. The index at 60 min can be used as surrogate of IGI, but not the indices at 90 and 120 min.

Context: During insulin-modified frequently sampled iv glucose tolerance tests (IM-FSIGT), which allow assessment of insulin action, plasma glucose can markedly decrease., Objective: This study aimed to assess the counterregulatory impact of the insulin-induced fall of glucose on minimal model-derived indices of insulin sensitivity (S(I)) and glucose effectiveness., Participants: Thirteen nondiabetic volunteers (seven males, six females, aged 26 +/- 1 yr, body mass index 22.1 +/- 0.7 kg/m(2)) were studied., Design: All participants were studied in random order during IM-FSIGT (0.3 g/kg glucose; 0.03 U/kg insulin at 20 min) and during identical conditions but with a variable glucose infusion preventing a decrease of plasma glucose concentration below euglycemia (IM-FSIGT-CLAMP). Five participants additionally underwent euglycemic-hyperinsulinemic (1 mU.kg(-1).min(-1)) clamp tests., Results: Plasma glucose declined during IM-FSIGT to its nadir of 50 +/- 3 mg/dl at 60 min in parallel to a rise (P < 0.05 vs. basal) of plasma glucagon, cortisol, epinephrine, and GH. Glucose infusion rates of 4.6 +/- 0.5 mg.kg(-1).min(-1) between 30 and 180 min during IM-FSIGT-CLAMP prevented the decline of plasma glucose and the hypoglycemia counterregulatory hormone response. S(I) was approximately 68% lower during IM-FSIGT (3.40 +/- 0.36 vs. IM-FSIGT-CLAMP: 10.71 +/- 1.06 10(-4).min(-1) per microU/ml, P < 0.0001), whereas glucose effectiveness did not differ between both protocols (0.024 +/- 0.002 vs. 0.021 +/- 0.003 min(-1), P = NS). Compared with the euglycemic hyperinsulinemic clamp test, S(I) expressed in identical units from IM-FSIGT was approximately 66% (P < 0.001) lower but did not differ between the euglycemic hyperinsulinemic clamp test and the IM-FSIGT-CLAMP (P = NS)., Conclusions: The transient fall of plasma glucose during IM-FSIGT results in lower estimates of S(I), which can be explained by hormonal response to hypoglycemia.

Insulin sensitivity and insulin secretion are mutually related such that insulin resistance is compensated by increased insulin secretion. A correct judgement of insulin secretion therefore requires validation in relation to the insulin sensitivity in the same subject. Mathematical analyses of the relationship between insulin sensitivity and insulin secretion has revealed a hyperbolic function, such that the product of the two variables is constant. This product is usually called the disposition index. Several techniques may be used for its estimation such as data derived from the frequently sampled i.v. glucose tolerance test, the oral glucose tolerance test or the glucose-dependent arginine stimulation test or the euglycemic hyperinsulinemic clamp technique in combination with a test on insulin secretion. Using these techniques the compensatory increase in beta cell function in insulin resistance has been verified in obesity, in pregnancy and after glucocorticoid administration as has the defective beta cell function as the underlying cause of impaired glucose tolerance and type 2 diabetes. Similarly, combined analysis of insulin sensitivity and insulin secretion has shown a down-regulation of beta cell function in increased insulin sensitivity accompanying weight reduction in obesity and following exercise. Acknowledging this inverse relationship between insulin secretion and insulin sensitivity therefore requires estimation of both variables for correct assessment in any individual.

The fasting proinsulin-to-insulin ratio is a currently used marker of beta-cell dysfunction. This ratio is calculated at the basal condition, but its behavior in dynamic conditions, i.e., during glucose stimulation, could be more informative. Given the different kinetics of the peptides, a mathematical model was necessary to analyze the oral glucose tolerance test (OGTT) data of insulin, C-peptide, and proinsulin in 55 healthy (NGT), 30 impaired glucose-tolerant (IGT), and 31 type 2 diabetic (T2DM) subjects. The model provided for secretion and disappearance of the peptides and an index of beta-cell function under dynamic conditions. Total proinsulin secretion during the OGTT was not different (P > 0.053) among NGT (0.17 +/- 0.01 mmol/l in 3 h), IGT (0.22 +/- 0.02), and T2DM (0.21 +/- 0.02) subjects. The proinsulin-to-insulin molar ratio measured from basal samples was higher (P < 0.0001) in T2DM (0.39 +/- 0.05) than in NGT (0.14 +/- 0.01) and IGT (0.13 +/- 0.02) subjects, and similar results (P < 0.003) were found by the dynamic index (0.27 +/- 0.04, 0.14 +/- 0.01, 0.15 +/- 0.01 in T2DM, NGT, IGT subjects, respectively). The basal ratio significantly correlated with the dynamic index, and the regression line slope was lower than 1 (0.43 +/- 0.08, 0.61 +/- 0.10, and 0.56 +/- 0.03 in NGT, IGT, and T2DM subjects, respectively, P < 0.0001). Impaired beta-cell function in T2DM could then be indicated by proinsulin-to-insulin indexes at both basal and dynamic phases.

The Minimal Model method of determining Insulin Sensitivity from the Intravenous glucose Tolerance Test is a valuable tool for the Diabetes research community. However the Minimal Model algorithm itself is not readily available in a user-friendly modem windows environment to the clinical researcher in many research departments. In addition use of the model often requires intervention by an experienced "modeller" to interpret the results produced by the method. This paper proposes a more readily available and usable version of the program and discusses the issues which surround the use of the program by clinical researchers without computer mathematical modelling experience.

To directly evaluate prehepatic secretion of pancreatic hormones during a 3-h oral glucose tolerance test (OGTT), we measured insulin and C-peptide in six healthy control, six obese, and six type 2 diabetic subjects in the femoral artery and hepatic vein by means of the hepatic catheterization technique. Hypersecretion in obesity was confirmed (309 +/- 66 nmol in obese vs. 117 +/- 22 in control and 79 +/- 13 in diabetic subjects, P 0.3, r(2) = 0.93), whereas estimation of hepatic insulin extraction and insulin clearance needs further investigation for improvement.

Objective: Available insulin sensitivity (IS) methods based on the oral glucose tolerance test (OGTT) are empirical. We used a glucose-insulin model to derive an OGTT-based IS (oral glucose insulin sensitivity [OGIS]) index, which predicts glucose clearance in a glucose clamp. We validated OGIS against clamp data., Research Design and Methods: OGIS requires glucose and insulin concentrations from a 75-g OGTT at 0, 2, and 3 h (3-h OGTT) or at 0, 1.5, and 2 h (2-h OGTT). The formula includes six constants optimized to match the clamp results. For this purpose, 15 lean nondiabetic subjects (BMI < 25 kg/m2), 38 obese nondiabetic subjects (BMI > 25 kg/m2), and 38 subjects with type 2 diabetes randomly underwent an OGTT and a 120 mU x min(-1) x m(-2) insulin infusion euglycemic clamp. Glucose clearance (Cl CLAMP), calculated as the ratio of glucose infusion to concentration during the last hour of the clamp, was compared with OGIS. OGIS was also tested on an independent group of 13 subjects with impaired glucose tolerance (IGT)., Results: OGIS and Cl CLAMP were correlated in the whole group (R = 0.77, P < 0.0001), in the subgroups (lean: R = 0.59; obese: R = 0.73; type 2 diabetes: R = 0.49; P < 0.02), and in the independent IGT group (R = 0.65, P < 0.02). Reproducibility of OGIS and Cl CLAMP were similar (coefficients of variation: OGIS 7.1%, Cl CLAMP 6.4%). OGIS was as effective as Cl CLAMP in discriminating between groups (for OGIS, lean vs. obese: 440 +/- 16 vs. 362 +/- 11 ml x min(-1) x m(-2), p < 0.001; lean vs. type 2 diabetes: 440 +/- 16 vs. 239 +/- 7, P < 0.0001; obese vs. type 2 diabetes: 362 +/- 11 vs. 239 +/- 7, P < 0.0001; results were similar for Cl CLAMP). The relationships between IS and BMI, fasting plasma insulin, and insulin secretion (calculated from the OGTT insulin concentration) were examined. OGIS yielded results similar to Cl CLAMP and fully consistent with established physiological principles. The performance of the index for the 3-h and 2-h OGTT was similar., Conclusions: OGIS is an index of IS in good agreement with the clamp. Because of its simplicity (only three blood samples required), this method has potential use for clinical investigation including large-scale epidemiological studies.

The minimal model is widely used to evaluate insulin action on glucose disappearance from frequently sampled intravenous glucose tolerance tests (FSIGT). The common protocols are a regular (rFSIGT, single injection of 0.3 g/kg of glucose) and an insulin-modified test (mFSIGT, with an additional insulin administration at 20 min). This study compared the insulin sensitivity index (SI) and glucose effectiveness (SG) obtained in the same individual (16 normal subjects) with the two tests. SI was 7.11 +/- 0.80 10(-4).min-1.microU-1.ml in rFSIGT and 6.96 +/- 0.83 in mFSIGT (P = 0.656), regression r = 0.92, P < 0.0001; SG was 0.0260 +/- 0.0028 min-1 and 0.0357 +/- 0.0052, respectively, statistically different (P = 0.013) but still with a good regression (r = 0.66, P = 0.0051). SG and insulin amount during the early period correlated (r = 0.6, P = 0.015 in rFSIGT and r = 0.76, P = 0.0006 in mFSIGT). In summary, both FSIGTs with minimal model analysis provide the same SI, which is a very robust index. SG was different by 28% due probably to the relationship between SG and the amount of circulating insulin. In studies comparing groups, the simpler rFSIGT can still be used with the advantage of accounting for endogenous insulin, thus offering the possibility of direct inferences on the beta-cell activity.

The role of amylin in the beta-cell dysfunction that occurs in patients with diabetes mellitus may be important. Amyloid deposits are found in the pancreata of subjects with Type 2 diabetes and may contribute to beta-cell death. It is therefore necessary to study amylin secretion and kinetics to determine whether elevated levels of the peptide are due to elevated secretion, reduced clearance or both. The aim of this study was to measure amylin dynamics during an oral glucose tolerance test (OGTT). We also used a mathematical model of beta-cell activity to assess the secretion and kinetics of C-peptide, insulin and amylin in humans during an OGTT. In particular, we were interested in characterizing the physiological meaning of one of the terms in the model, the amylin/C-peptide co-secretion factor (sigma). The model has been used in several pathophysiological conditions and results indicate an elevated secretion and clearance of amylin in glucose-intolerant states. Amylin clearance has been found to be similar to that of C-peptide, and much slower than that of insulin. In this study, direct measurements of insulin and amylin secretion in five obese subjects yielded an estimate of the amylin/insulin co-secretion factor of 0.004 with a standard deviation (SD) of 0.002. The point estimate of hepatic clearance was 80 ml min(-1), which was much lower than that of insulin (507 +/- 94 ml min[-1]). In addition, the estimated hepatic clearance was not significantly different from zero given its high SD of 213 ml min(-1). The absence of hepatic extraction of amylin is therefore a plausible hypothesis, which is also supported by the similarity between amylin and C-peptide clearances. This observation characterizes the physiological meaning of sigma and suggests that this parameter is associated mainly with beta-cell secretion.

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.

Glucose disappearance after an oral or intravenous challenge is a function of the effects of both endogenously secreted insulin and of glucose itself. We previously introduced the term "glucose effectiveness," or SG, defined as the ability of glucose per se to enhance its own disappearance independent of an increment in plasma insulin. The present investigation, performed in conscious dogs, was undertaken to quantify this glucose effect by minimal-model-based analysis of insulin and glucose dynamics after a frequently sampled intravenous glucose tolerance test (FSIGT). The values from the standard FSIGT were then compared with direct measurements obtained from experiments in which the dynamic insulin response to glucose was suppressed with somatostatin (SRIF). In addition, we examined SG values from the modified FSIGT protocol, which involves both glucose and tolbutamide injections. Protocol l (N = 9): FSIGTs were performed and the glucose and insulin data were analyzed by computer. KG was 2.65 +/- 0.28 min-1, S1 was 4.09 +/- 0.34 X 10(4) min-1/(microU/ml), and SG was 0.033 +/- 0.004 min-1. Protocol II (N = 6): FSIGTs were performed on animals in which SRIF was infused (0.8 micrograms/min X kg) to obliterate the dynamic insulin response to glucose injection. Before the FSIGt, insulin and glucagon were infused intraportally to reattain basal glycemia. Without dynamic insulin, KG was reduced to 0.96 +/- 0.18 min-1 (P less than 0.0001). However, SG, estimated from the exponential rate of fall of plasma glucose in the absence of dynamic insulin, was similar to the standard FSIGTs: 0.025 +/- 0.004 (P greater than 0.25). Protocol III (N = 6): modified FSIGTs were performed using glucose and tolbutamide injections for a better estimate of model parameters. Model parameters Sl and SG, and the KG were not different from standard FSIGTs (P greater than 0.3). In fact, the value of SG (0.028 +/- 0.003 min-1) was nearly identical to the direct measure from protocol II. Therefore, the effect of glucose per se on glucose decline, estimated by modeling the standard and modified FSIGTs, was confirmed by a direct measurement with the endogenous insulin response suppressed with SRIF. Also, the time course of the insulin effect to enhance net glucose disappearance from plasma [Ieff(t)] was calculated from the data of protocol II, and was the same as the time course predicted by the model. These studies demonstrate the ability of the computer modeling approach to separate insulin-dependent and glucose-dependent glucose disappearance, and represent a direct confirmation of the minimal model.(ABSTRACT TRUNCATED AT 400 WORDS)

We previously proposed the insulin sensitivity index, Sl, as an absolute measure of whole body tissue sensitivity to insulin. Sl is defined, in the physiologic range of insulin action, as the effect of insulin to augment glucose's ability to reduce its own plasma level. This parameter can be determined from the frequently sampled intravenous glucose tolerance test (IVGTT) by using a digital computer to find the coefficients of a minimal mathematical model of glucose kinetics. In the present study we compared, in normal dogs, Sl determined from the IVGTT to an analogous parameter [Sl(clamp)] calculated from the euglycemic glucose clamp (EGC). Fifteen pairs of experiments (1 IVGTT and 1 EGC) were performed on 12 animals. IVGTTs: After glucose injection (0.3 g/kg), frequent blood samples were taken over the subsequent 3 h. KG ranged from 1.7 to 4.7%/min, and integrated insulin from 0.4 to 5.9 (mU/ml) min for 0-60 min. Sl varied over a nine-fold range from 1.0 to 9.1 X 10(-4) (min-1)/(microU/ml), with a mean of 4.3 +/- 0.7 X 10(-4). Fractional glucose disappearance rate independent of insulin (p1) was 4.3 +/- 0.5%/min. EGCs: Low-rate insulin infusion (8 mU/min from 1 to 150 min) elevated plasma insulin (INS) from 15 +/- 4 to 43 +/- 10 microU/ml. Glucose was infused (GINF) at 119 +/- 20 mg/min to maintain euglycemia. Moderate insulin infusion (40 mU/min: 151-300 min) further elevated plasma insulin (to 176 +/- 37 microU/ml) and the requisite glucose infusion (to 372 +/- 36 mg/min).(ABSTRACT TRUNCATED AT 250 WORDS)

The "minimal model" of glucose disappearance provides noninvasive estimates of insulin sensitivity and glucose effectiveness from an intravenous glucose tolerance test (IVGTT). However, this model does not allow the separation of glucose production from utilization. To overcome this limitation, labeled glucose was injected along with cold glucose in six normal dogs, and both cold and labeled glucose time courses were monitored along with insulin concentration. A revised minimal model was fitted to tracer data to obtain new measures of insulin sensitivity (SI* = 6.41 +/- 0.91 10(-4) min-1 X microU-1 X ml-1) and fractional glucose clearance (SG* = 0.0092 +/- 0.0009 min-1). SG* was compared with a direct measure obtained by a hepatic arterial-venous difference technique, which yielded a value of 0.0097 +/- 0.0002, virtually identical to SG*, thereby validating the model estimate. When the original minimal model was identified from cold data, we obtained S1 = 4.52 +/- 1.39 and SG = 0.042 +/- 0.009. SI* and SG* were different from SI and SG, respectively. In particular SG overestimates fractional glucose clearance by approximately five times. The revised minimal model yields glucose disposal parameters SI* and SG* that are not affected by the confounding effect of insulin and glucose inhibition of glucose production. Limitations inherent in cold IVGTT and original minimal model are overcome by labeled IVGTT and the revised minimal model, while test simplicity remains.

To identify the pathogenic factors responsible for glucose intolerance of aging, we measured a variety of metabolic parameters, including insulin sensitivity and islet cell function, in 10 young (18-36 yr old) and 10 older (57-82 yr old) men of normal body weight. Subject groups had equivalent fasting plasma glucose and fat cell size values. Frequently sampled iv glucose tolerance tests were performed, and the data were analyzed by computer using the minimal model approach. This technique yields the following measures: SI, the insulin sensitivity index; phi 1 and phi 2, indices of first and second phase beta-cell responsiveness to glucose; n, fractional insulin clearance, and SG, a measure of dynamic glucose disappearance dependent on glucose per se. We also evaluated beta-cell responsiveness independently by measuring the plasma insulin response to arginine injections at three levels of glycemia and calculated potentiation slope from the relationship between the acute insulin response to arginine and the prestimulus glucose level. The older men were glucose intolerant (glucose disappearance rate, 1.32% min-1) compared to the younger men (glucose disappearance rate, 2.21% min-1; P less than 0.01). This intolerance was the result of both a beta-cell defect and insulin resistance. The potentiation slope (r = -0.67; P less than 0.02) and phi 2 (r = -0.47; P less than 0.05) both decreased with age. In addition, SI in the older group was diminished 63% (2.4 vs. 6.5; 10(-4) min-1/microU/ml; P less than 0.001) and was unrelated to differences in body fat. No differences were found in either n or SG. These studies suggest that the diminished glucose tolerance of aging in normal weight men has multifactorial causality. Both beta-cell dysfunction and insulin resistance are important. In contrast, we found little evidence for changes in insulin clearance or insulin-independent glucose disappearance contributing to age-related glucose intolerance.

Insulin sensitivity and pancreatic responsivity are the two main factors controlling glucose tolerance. We have proposed a method for measuring these two factors, using computer analysis of a frequently-sampled intravenous glucose tolerance test (FSIGT). This 'minimal modelling approach' fits two mathematical models with FSIGT glucose and insulin data: one of glucose disappearance and one of insulin kinetics. MINMOD is the computer program which identifies the model parameters for each individual. A nonlinear least squares estimation technique is used, employing a gradient-type of estimation algorithm, and the first derivatives (not known analytically) are computed according to the 'sensitivity approach'. The program yields the parameter estimates and the precision of their estimation. From the model parameters, it is possible to extract four indices: SG, the ability of glucose per se to enhance its own disappearance at basal insulin, SI, the tissue insulin sensitivity index, phi 1, first phase pancreatic responsivity, and phi 2, second phase pancreatic responsivity. These four characteristic parameters have been shown to represent an integrated metabolic portrait of a single individual.