Within-subject variability of measures of beta cell function derived from a 2 h OGTT: implications for research studies.

AIMS/HYPOTHESIS: Knowledge of the within-subject variability of a parameter is required to properly design and calculate sample sizes for longitudinal studies. We sought to determine the day-to-day variability of measures of beta cell function derived from an OGTT. METHODS: Thirty-seven adults (13 with normal glucose tolerance, ten with impaired glucose tolerance, 14 with type 2 diabetes) underwent a standard 2 h 75 g OGTT on two separate days (median time between tests, 7 days; range, 5-14). From these data, the reproducibility of several indices of beta cell function were determined: insulinogenic index (DeltaI(0-30)/DeltaG(0-30)), early C-peptide response (DeltaCP(0-30)/DeltaG(0-30)), incremental AUC insulin to glucose response (incAUC(ins)/incAUC(glu)), integrated insulin secretion response from 0 to 120 min (IS/Glu(0-120)) and indices of beta cell function derived from a mathematical model. RESULTS: Within-subject variability for DeltaI(0-30)/DeltaG(0-30) (CV 57.1%) was higher than DeltaCP(0-30)/DeltaG(0-30) (CV 34.7%). Measures integrated over the full 120 min of the OGTT, incAUC(ins)/incAUC(glu) (CV 24.9%) and IS/Glu(0-120) (CV 17.4%), demonstrated less variability. The mathematical model-derived measures of beta cell glucose sensitivity (CV 20.3%) and potentiation (CV 33.0%) showed moderate variability. The impact of the different measures' variability on sample size (30% change from baseline) is demonstrated by calculated sample sizes of 89 for DeltaI(0-30)/DeltaG(0-30), 37 for DeltaCP(0-30)/DeltaG(0-30), 21 for incAUC(ins)/incAUC(glu) and 11 for IS/Glu(0-120). CONCLUSIONS/INTERPRETATION: Some OGTT-derived indices of beta cell function, in particular the insulinogenic index, demonstrate high within-subject variability. Integrated measures that utilise multiple time points and measures that use C-peptide show less variability and may lead to a reduced sample size requirement.

Dietary-fat-induced obesity in mice results in beta cell hyperplasia but not increased insulin release: evidence for specificity of impaired beta cell adaptation.

AIMS/HYPOTHESIS: Increased dietary fat intake is associated with obesity and insulin resistance, but studies have shown that the subsequent increase in insulin release is not appropriate for this obesity-induced insulin resistance. We therefore sought to determine whether the impaired beta cell adaptation is due to inadequate expansion of the beta cell population or to a lack of an adaptive increase in insulin release. METHODS: Male mice were fed diets containing increasing amounts of fat (15, 30 or 45% of energy intake) for 1 year, after which islet morphology and secretory function were assessed. RESULTS: Increased dietary fat intake was associated with a progressive increase in body weight (p<0.001). Fractional beta cell area (total beta cell area/section area) was increased with increasing dietary fat (1.36+/-0.39, 2.46+/-0.40 and 4.93+/-1.05%, p<0.001), due to beta cell hyperplasia, and was positively and highly correlated with body weight (r2=0.68, p<0.005). In contrast, insulin release following i.p. glucose did not increase with increasing dietary fat (118+/-32, 108+/-47 and 488+/-200 pmol/l per mmol/l, p=0.07) and did not correlate with body weight (r2=0.11). When this response was examined relative to fractional beta cell area (insulin release/fractional beta cell area), it did not increase but rather tended to decrease with increasing dietary fat (157+/-55, 43+/-13 and 97+/-53 [pmol/l per mmol/l]/%, p=0.06) and did not correlate with body weight (r2=0.02). CONCLUSIONS/INTERPRETATION: Long-term fat feeding is associated with an increase in the beta cell population but an inadequate functional adaptation. Thus, a functional rather than a morphological abnormality appears to underlie dietary-fat-induced beta cell dysfunction.

Obesity, body fat distribution, insulin sensitivity and Islet beta-cell function as explanations for metabolic diversity.

Studies of metabolic processes have been enhanced by our understanding of the relationships among obesity, body fat distribution, insulin sensitivity and islet beta-cell function. Thus, we have learned that although insulin resistance is usually associated with obesity, even lean subjects can be insulin resistant due to the accumulation of visceral fat. Insulin sensitivity and beta-cell function are also intimately linked. The hyperbolic relationship between these two parameters explains why insulin-resistant individuals have markedly enhanced insulin responses, whereas subjects who are insulin sensitive exhibit very low responses. Failure to take into account this relationship will lead to erroneous conclusions. By accounting for this important interaction, it has been clearly demonstrated that subjects at high risk of developing type 2 diabetes (older individuals, women with a history of gestational diabetes or polycystic ovary syndrome, subjects with impaired glucose tolerance and first-degree relatives of individuals with type 2 diabetes) have impaired beta-cell function. Furthermore, the progression from normal glucose tolerance to impaired glucose tolerance and type 2 diabetes is associated with declining insulin secretion.

The constitutive secretory pathway is a major route for islet amyloid polypeptide secretion in neonatal but not adult rat islet cells.

Islet amyloid polypeptide (IAPP or amylin) is a normal secretory product of the pancreatic beta-cell that is cosecreted with insulin and is the major constituent of islet amyloid deposits in individuals with type 2 diabetes or insulinomas. We have previously reported that glucose stimulates IAPP, but not insulin secretion, from neonatal rat beta-cells when regulated secretion is prevented by use of calcium-free media, suggesting that IAPP secretion occurs via a constitutive secretory pathway. To directly test this hypothesis, we examined the effects of 2 substances-brefeldin A (BFA) and cycloheximide (CHX)-that are predicted to selectively block constitutive secretion on the release of IAPP-like immunoreactivity (IAPP-LI) and immunoreactive insulin (IRI) from neonatal rat islet cell monolayer cultures. When regulated release was prevented by use of calcium-free media, glucose-stimulated IAPP-LI release was nearly abolished by blocking constitutive release with 10 microg/ml BFA (mean +/- SD: 8.7 +/- 7.7 vs. 29.3 +/- 14.3 pmol/l; n = 5; P < 0.05), an inhibitor of constitutive vesicle formation. Similarly, calcium-independent, glucose-stimulated IAPP-LI secretion was markedly suppressed when new protein synthesis was blocked by administration of 20 microg/ml CHX (4.6 +/- 2.1 vs. 29.5 +/- 14.0 pmol/l; n = 5; P < 0.005). Secretion of IRI was low in the absence of calcium, and neither BFA nor CHX had any further effect. When calcium was added to the incubation media to allow regulated secretion of both IRI and IAPP-LI, both BFA (47.7 micro 8.7 vs. 80.7 micro 10.3 pmol/l; P < 0.001) and CHX (37.3 +/- 5.8 vs. 73.3 +/- 6.2 pmol/l; n = 5; P < 0.0001) inhibited glucose-stimulated IAPP-LI secretion by approximately 40%, but again had no inhibitory effect on IRI secretion. These data indicate that approximately 40% of glucose-stimulated IAPP-LI release occurs via a constitutive secretory pathway in neonatal rat islet cells. By contrast, in adult rat islets, glucose-stimulated IAPP-LI release was almost abolished in the absence of calcium (86 +/- 3% inhibition; P < 0.05) and unaffected by addition of BFA (275 +/- 28 vs. 205 +/- 89 pmol/l; NS) or CHX (160 +/- 20 vs. 205 +/- 89 pmol/l; NS), suggesting that constitutive secretion of IAPP does not occur in mature beta-cells. Collectively, these data suggest that a significant proportion of glucose-stimulated IAPP secretion from neonatal, but not adult, rat islet cells occurs via a constitutive secretory pathway.

Obesity induced by a high-fat diet is associated with reduced brain insulin transport in dogs.

Insulin transported from plasma into the central nervous system (CNS) is hypothesized to contribute to the negative feedback regulation of body adiposity. Because CNS insulin uptake is likely mediated by insulin receptors, physiological interventions that impair insulin action in the periphery might also reduce the efficiency of CNS insulin uptake and predispose to weight gain. We hypothesized that high-fat feeding, which both reduces insulin sensitivity in peripheral tissues and favors weight gain, reduces the efficiency of insulin uptake from plasma into the CNS. To test this hypothesis, we estimated parameters for cerebrospinal fluid (CSF) insulin uptake and clearance during an intravenous insulin infusion using compartmental modeling in 10 dogs before and after 7 weeks of high-fat feeding. These parameters, together with 24-h plasma insulin levels measured during ad libitum feeding, also permitted estimates of relative CNS insulin concentrations. The percent changes of adiposity, body weight, and food intake after high-fat feeding were each inversely associated with the percent changes of the parameter k1k2, which reflects the efficiency of CNS insulin uptake from plasma (r = -0.74, -0.69, -0.63; P = 0.015, 0.03, and 0.05, respectively). These findings were supported by a non-model-based calculation of CNS insulin uptake: the CSF-to-plasma insulin ratio during the insulin infusion. This ratio changed in association with changes of k1k2 (r = 0.84, P = 0.002), body weight (r = -0.66, P = 0.04), and relative adiposity (r = -0.72, P = 0.02). By comparison, changes in insulin sensitivity, according to minimal model analysis, were not associated with changes in k1k2, suggesting that these parameters are not regulated in parallel. During high-fat feeding, there was a 60% reduction of the estimated CNS insulin level (P = 0.04), and this estimate was inversely associated with percent changes in body weight (r = -0.71, P = 0.03). These results demonstrate that increased food intake and weight gain during high-fat feeding are associated with and may be causally related to reduced insulin delivery into the CNS.

Reduced pancreatic B cell compensation to the insulin resistance of aging: impact on proinsulin and insulin levels.

Type 2 diabetes mellitus is associated with insulin resistance, reduced B cell function, and an increase in the proinsulin (PI) to immunoreactive insulin (IRI) ratio (PI/IRI); the latter is thought to be an indication of B cell dysfunction. Normal aging is associated with insulin resistance and reduced B cell function, but it is not known whether changes in PI and the PI/IRI ratio are also a feature of the aging-associated B cell dysfunction. Therefore, we tested whether the aging-associated changes in insulin sensitivity and B cell function result in changes in PI and IRI levels that are proportionate or whether they are disproportionate as in type 2 diabetes. Twenty-six healthy older (mean +/- SEM age, 67 +/- 1 yr) and 22 younger (28 +/- 1 yr) subjects with similar body mass indexes (27.9 +/- 0.6 vs. 26.3 +/- 1.0 kg/m2) were studied. PI was measured by a RIA recognizing both intact PI and its conversion intermediates. The insulin sensitivity index (SI) was quantified using the minimal model, and B cell function was measured as fasting insulin levels, the acute insulin response to glucose (AIRglucose), and as the acute insulin response to arginine at maximal glycemic potentiation (AIRmax). B cell function was also adjusted for SI based on the known hyperbolic relationship between these two variables. Older and younger subjects had similar fasting glucose (5.3 +/- 0.1 vs. 5.2 +/- 0.1 mmol/L), IRI (83 +/- 8 vs. 76 +/- 9 pmol/L), PI (8.9 +/- 0.8 vs. 10.6 +/- 2.0 pmol/L), and PI/IRI ratio (12.3 +/- 1.3% vs. 13.9 +/- 1.6%; all P = NS) despite a 50% reduction of insulin sensitivity (SI, 1.94 +/- 0.21 vs. 3.88 +/- 0.38 x 10(-5) min(-1)/pmol x L; P < 0.001) and in B cell function [SI x fasting IRI, 139 +/- 18 vs. 244 +/- 24 x 10(-5)(P < 0.001); SI x AIRglucose, 0.75 +/- 0.13 vs. 1.70 +/- 0.15 x 10(-2) min(-1) (P < 0.001); SI x AIRmax, 3.63 +/- 0.53 vs. 6.81 +/- 0.70 x 10(-2) min(-1) (P < 0.001)] in the older subjects. These findings suggest that the B cell dysfunction in older subjects is not associated with disproportionate proinsulinemia. However, in older subjects the B cell response to the insulin resistance of aging is reduced whether measured as fasting levels of PI or IRI or as the acute response to secretagogues. Thus, when examined in terms of the degree of insulin sensitivity, the lower fasting IRI levels in older subjects suggest that the utility of fasting insulin levels as a surrogate measure of insulin resistance in older individuals may be limited.

Reduced beta-cell function contributes to impaired glucose tolerance in dogs made obese by high-fat feeding.

The ability to increase beta-cell function in the face of reduced insulin sensitivity is essential for normal glucose tolerance. Because high-fat feeding reduces both insulin sensitivity and glucose tolerance, we hypothesized that it also reduces beta-cell compensation. To test this hypothesis, we used intravenous glucose tolerance testing with minimal model analysis to measure glucose tolerance (K(g)), insulin sensitivity (S(I)), and the acute insulin response to glucose (AIR(g)) in nine dogs fed a chow diet and again after 7 wk of high-fat feeding. Additionally, we measured the effect of consuming each diet on 24-h profiles of insulin and glucose. After high-fat feeding, S(I) decreased by 57% (P = 0.003) but AIR(g) was unchanged. This absence of beta-cell compensation to insulin resistance contributed to a 41% reduction of K(g) (P = 0.003) and abolished the normal hyperbolic relationship between AIR(g) and S(I) observed at baseline. High-fat feeding also elicited a 44% lower 24-h insulin level (P = 0.004) in association with an 8% reduction of glucose (P = 0.0003). We conclude that high-fat feeding causes insulin resistance that is not compensated for by increased insulin secretion and that this contributes to the development of glucose intolerance. These effects of high-fat feeding may be especially deleterious to individuals predisposed to type 2 diabetes mellitus.

Effect of troglitazone on B cell function, insulin sensitivity, and glycemic control in subjects with type 2 diabetes mellitus.

We studied the effects of troglitazone (200-800 mg daily) or placebo on carbohydrate metabolism in 18 subjects with type 2 diabetes (mean age, 66 yr; body mass index, 27.7 kg/m2) at baseline and after taking medication for 12 weeks. We measured fasting proinsulin (PI) and immunoreactive insulin (IRI) levels in all subjects. Thirteen subjects underwent additional metabolic studies, including injection of arginine to determine the acute insulin response, and an i.v. glucose tolerance test to measure the insulin sensitivity index (SI) and glucose effectiveness at zero insulin using the minimal model, i.v. glucose tolerance, and acute insulin response to glucose. Troglitazone treatment resulted in a decrease in fasting plasma glucose from 11.2 +/- 0.7 to 9.6 +/- 0.9 mmol/L (P = 0.02). This was associated with a decrease in the fasting IRI concentration (111 +/- 20 to 82 +/- 13 pmol/L; P = 0.02) and a trend toward a decrease in the fasting PI concentration (43 +/- 11 to 25 +/- 4 pmol/L; P = 0.06). A significant decrease in PI/IRI was observed (38.3 +/- 3.6% to 32.6 +/- 3.2%; P = 0.04). Troglitazone therapy was also associated with a decrease in the acute insulin response to arginine (226 +/- 34 to 167 +/- 25 pmol/L; P = .01) and a near-significant percent increase in S(I) (75 +/- 35%; P = 0.06). Glucose effectiveness at zero insulin, i.v. glucose tolerance, and acute insulin response to glucose did not change. Thus, we found that the decrease in plasma glucose during troglitazone therapy is associated with a dose-related decrease in PI/IRI and an increase in S(I), suggesting that changes in both B cell function and insulin sensitivity contribute to the improvement in metabolic status.

Endogenous somatostatin-28 modulates postprandial insulin secretion. Immunoneutralization studies in baboons.

Somatostatin-28 (S-28), secreted into the circulation from enterocytes after food, and S-14, released mainly from gastric and pancreatic D cells and enteric neurons, inhibit peripheral cellular functions. We hypothesized that S-28 is a humoral regulator of pancreatic B cell function during nutrient absorption. Consistent with this postulate, we observed in baboons a two to threefold increase in portal and peripheral levels of S-28 after meals, with minimal changes in S-14. We attempted to demonstrate a hormonal effect of these peptides by measuring their concentrations before and after infusing a somatostatin-specific monoclonal antibody (mAb) into baboons and comparing glucose, insulin, and glucagon-like peptide-1 levels before and for 4 h after intragastric nutrients during a control study and on 2 d after mAb administration (days 1 and 2). Basal growth hormone (GH) and glucagon levels and parameters of insulin and glucose kinetics were also measured. During immunoneutralization, we found that (a) postprandial insulin levels were elevated on days 1 and 2; (b) GH levels rose immediately and were sustained for 28 h, while glucagon fell; (c) basal insulin levels were unchanged on day 1 but were increased two to threefold on day 2, coincident with decreased insulin sensitivity; and (d) plasma glucose concentrations were similar to control values. We attribute the eventual rise in fasting levels of insulin to its enhanced secretion in compensation for the heightened insulin resistance from increased GH action. Based on the elevated postmeal insulin levels after mAb administration, we conclude that S-28 participates in the enteroinsular axis as a decretin to regulate postprandial insulin secretion.

Evidence that plasma leptin and insulin levels are associated with body adiposity via different mechanisms.

OBJECTIVE: Like insulin, the adipocyte hormone, leptin, circulates at levels proportionate to body adiposity. Because insulin may regulate leptin secretion, we sought to determine if plasma leptin levels are coupled to body adiposity via changes in circulating insulin levels or insulin sensitivity and whether leptin secretion from adipocytes is impaired in subjects with NIDDM. RESEARCH DESIGN AND METHODS: We used multiple linear regression to analyze relationships between BMI (a measure of body adiposity) and fasting plasma levels of leptin and insulin in 98 nondiabetic human subjects (68 men/30 women) and 38 subjects with NIDDM (27 men/11 women). The insulin sensitivity index (Si) was also determined in a subset of nondiabetic subjects (n = 38). RESULTS: Fasting plasma leptin concentrations were correlated to both BMI (r = 0.66, P = 0.0001) and fasting plasma insulin levels (r = 0.65, P = 0.0001) in nondiabetic men and women (r = 0.58, P = 0.0009 for BMI; r = 0.47, P = 0.01 for insulin). While the plasma leptin level was also inversely related to Si (r = -0.35; P = 0.03), this association was dependent on BMI, whereas the association between insulin and Si was not. Conversely, the relationship between plasma leptin and BMI was independent of Si, whereas that between insulin and BMI was dependent on Si. The relationship between plasma leptin levels and BMI did not differ significantly among NIDDM subjects from that observed in nondiabetic subjects. CONCLUSIONS: We conclude that 1) body adiposity, sex, and the fasting insulin level are independently associated with plasma leptin level; 2) because NIDDM does not influence leptin levels, obesity associated with NIDDM is unlikely to result from impaired leptin secretion; and 3) insulin sensitivity contributes to the association between body adiposity and plasma levels of insulin, but not leptin. The mechanisms underlying the association between body adiposity and circulating levels of these two hormones, therefore, appear to be different.

Diagnostic utility of the history and physical examination for peripheral vascular disease among patients with diabetes mellitus.

BACKGROUND: We assessed the value of the medical history and physical examination in the diagnosis of peripheral vascular disease in diabetic subjects. METHODS: We performed a cross-sectional study in 631 diabetic veteran enrollees of a general internal medicine clinic that compared data obtained from a history and clinical evaluation with the presence of severe peripheral vascular disease defined as an ankle-arm index (AAI) < or = 0.5 derived from Doppler blood pressure measurement. RESULTS: We identified 90 limbs with an AAI < or = 0.5. Results presented below apply to the right leg, but do not differ from the left. Diminished or absent foot peripheral pulses (sensitivity 65%, specificity 78%), venous filling time > 20 sec (sensitivity 22%, specificity 93.9%), age > 65 years (sensitivity 83%, specificity 54%), claudication symptoms in < 1 block (sensitivity 50%, specificity 87%), and patient reported history of physician diagnosed peripheral vascular disease (PVD) (sensitivity 80%, specificity 70%) had the largest positive (or smallest negative) likelihood ratios. Capillary refill time > 5 sec or foot characteristics (absent hair, blue/purple color, skin coolness, or atrophy) conveyed little diagnostic information. Individual factors did not change disease probability to a clinically important degree. A stepwise logistic regression model identified four factors significantly (p < 0.05) associated with low AAI: absent or diminished peripheral pulses, patient reported history of PVD, age, and venous filling time. Substitution of < 1 block claudication for PVD history in this model resulted in a small reduction in model accuracy. CONCLUSIONS: Many purportedly useful historical and exam findings need not be elicited in diabetic patients suspected of having severe peripheral vascular disease, since most information related to probability of this disorder may be obtained from patient age, self-reported history of physician diagnosed PVD (or < 1 block claudication), peripheral pulse palpation, and venous filling time.

Proinsulin levels predict the development of non-insulin-dependent diabetes mellitus (NIDDM) in Japanese-American men.

Disproportionate hyperproinsulinaemia is a manifestation of the beta-cell dysfunction observed in NIDDM. However, it is unclear when this abnormality develops and whether it predicts the development of the disease. To examine whether changes in proinsulin levels predict the development of NIDDM, baseline measurements of proinsulin and immunoreactive insulin levels were made in 87 second-generation Japanese-American men, a population at high risk for the subsequent development of NIDDM. Subjects were categorized at baseline using WHO criteria as having normal glucose tolerance (NGT; n = 49) or impaired glucose tolerance (IGT; n = 38). After a 5-year follow-up period, subjects were recategorized as having NGT, IGT or NIDDM using the same criteria. During follow-up, 16 subjects developed NIDDM while 71 were NGT or IGT. At baseline, individuals who subsequently developed NIDDM were more obese as measured by intra-abdominal fat area on computed tomography (p = 0.046), had higher fasting glucose (p = 0.0042), 2-h glucose (p = 0.0002), fasting C-peptide (p = 0.0011), fasting proinsulin levels (p = 0.0033), and had disproportionate hyperproinsulinaemia (p = 0.056) when compared to those who remained NGT or IGT after 5 years of follow-up. These findings suggest that alterations in proinsulin levels may also predict the subsequent development of NIDDM.

Effect of sulfonylurea withdrawal on proinsulin levels, B cell function, and glucose disposal in subjects with noninsulin-dependent diabetes mellitus.

To examine the effect of sulfonylurea withdrawal on the proinsulin (PI) to immunoreactive insulin (IRI) ratio in subjects with noninsulin dependent diabetes mellitus (NIDDM), we measured fasting and arginine-stimulated PI and IRI levels in 15 subjects with NIDDM (mean age, 64.4 yr; body mass index, 27.3 kg/m2) during chronic treatment with glyburide (n = 12) or other sulfonylureas (n = 3) and after withdrawal from the medication for 2-4 weeks. Additionally, we performed iv glucose tolerance tests to measure the insulin sensitivity index, glucose effectiveness at zero insulin, iv glucose tolerance, and the acute insulin response to glucose. Discontinuation of sulfonylurea therapy resulted in an increase in fasting plasma glucose from 10.5 +/- 0.8 to 13.1 +/- 0.9 mmol/L (P < 0.001). This was associated with a decrease in the fasting IRI concentration (120 +/- 21 to 92 +/- 21 pmol/L; P < 0.005) and the fasting PI concentration (58 +/- 10 to 41 +/- 7 pmol/L; P < 0.01); however, the PI/IRI ratio did not differ (50 +/- 6% during medication and 48 +/- 5% after withdrawal; P = 0.43). Similarly, the acute PI/IRI ratio did not change (8.6 +/- 2.4% on therapy; 8.4 +/- 1.2% off therapy; P = 0.91). No change was observed in other metabolic parameters, including insulin sensitivity index (0.76 +/- 0.21 x 10(-5) min-1/pM on therapy; 0.76 +/- 0.19 x 10(-5) min-1/pM off therapy), acute insulin response to arginine (225 +/- 37 pmol/L on therapy; 225 +/- 40 pmol/L off therapy), acute insulin response to glucose (10 +/- 6 pmol/L on therapy; 5 +/- 4 pmol/L off therapy), glucose effectiveness at zero insulin (0.0127 +/- 0.0007 min-1 on therapy; 0.0119 +/- 0.0009 min-1 off therapy), and iv glucose tolerance (0.85 +/- 0.05%/min on therapy; 0.71 +/- 0.07%/min off therapy). We conclude that sulfonylurea therapy does not correct the elevated PI/IRI ratio or absent first phase insulin response of NIDDM and does not have an effect on parameters of peripheral tissue glucose uptake.

The effect of insulin dose on the measurement of insulin sensitivity by the minimal model technique. Evidence for saturable insulin transport in humans.

Administration of exogenous insulin during an intravenous glucose tolerance test allows the use of the minimal model technique to determine the insulin sensitivity index in subjects with reduced endogenous insulin responses. To study the effect of different insulin administration protocols, we performed three intravenous glucose tolerance tests in each of seven obese subjects (age, 20-41 yr; body mass index, 30-43 kg/m2). Three different insulin administration protocols were used: a low-dose (0.025 U/kg) infusion given over 10 min, a low-dose (0.025 U/kg) bolus injection, and a high-dose (0.050 U/kg) bolus injection, resulting in peak insulin concentrations of 1,167 +/- 156, 3,014 +/- 483, and 6,596 +/- 547 pM, respectively. The mean insulin sensitivity index was 4.80 +/- 0.95 x 10(-5), 3.56 +/- 0.53 x 10(-5), and 2.42 +/- 0.40 x 10(-5) min-1/pM respectively (chi +/- SEM; P = 0.01). The association of higher peak insulin concentrations with lower measured insulin sensitivity values suggested the presence of a saturable process. Because results were not consistent with the known saturation characteristics of insulin action on tissue, a second saturable site involving the transport of insulin from plasma to interstitium was introduced, leading to a calculated Km of 807 +/- 165 pM for this site, a value near the 1/Kd of the insulin receptor. Thus, the kinetics of insulin action in humans in these studies is consistent with two saturable sites, and supports the hypothesis for transport of insulin to the interstitial space. Saturation may have an impact on minimal model results when high doses of exogenous insulin are given as a bolus, but can be minimized by infusing insulin at a low dose.

Enteral enhancement of glucose disposition by both insulin-dependent and insulin-independent processes. A physiological role of glucagon-like peptide I.

Glucagon-like peptide I (GLP-I)(7-36) amide is secreted by intestinal L-cells in response to food ingestion. GLP-I is a potent insulin secretagogue and also inhibits glucagon release. In addition, when given to humans in pharmacological amounts, GLP-I increases glucose disposal independent of its effects on islet hormone secretion. To test the hypothesis that this extrapancreatic effect of GLP-I on glucose disposition is present at physiological levels of GLP-I, we performed intravenous glucose tolerance tests (IVGTTs) 1 h after the following interventions: 1) the ingestion of 50 g fat to stimulate GLP-I secretion or the ingestion of water as a control and 2) infusion of GLP-I to attain physiological levels or a control infusion of saline. The results of the IVGTTs were analyzed using the minimal model technique to determine the insulin sensitivity index (SI) and indexes of insulin-independent glucose disposition, glucose effectiveness at basal insulin (SG), and glucose effectiveness at zero insulin (GEZI), as well as the glucose disappearance constant (k(g)) and the acute insulin response to glucose (AIRg). These parameters were compared between conditions of elevated circulating GLP-I and control conditions. After ingestion of fat and infusion of synthetic hormone, plasma GLP-I increased to similar levels; GLP-I did not change with water ingestion or saline infusion.(ABSTRACT TRUNCATED AT 250 WORDS)

Changes in insulin sensitivity, glucose effectiveness, and B-cell function in regularly exercising subjects.

To determine the relative contributions of changes in glucose effectiveness, B-cell function, and insulin sensitivity to changes in glucose tolerance upon exercise cessation in regularly exercising individuals, we studied seven young subjects who were performing aerobic exercise on a regular schedule. Each subject was studied 12 and 84 hours after the last bout of exercise with an intravenous glucose tolerance test (IVGTT) to quantify insulin sensitivity and glucose effectiveness at zero insulin (GEZI) using the minimal model of glucose kinetics. Additionally, B-cell function was quantified as the acute insulin response to glucose (AIRglucose), and intravenous glucose tolerance as the glucose disappearance constant (Kg). Twelve hours after the last bout of exercise, SI was 8.47 +/- 1.12 x 10(-5) min-1/pmol/L, as compared with 6.98 +/- 1.17 x 10(-5) min-1/pmol/L 84 hours after exercise (mean +/- SE, P = .005). No changes was observed in GEZI (0.020 +/- 0.004 min-1 at 12 hours v 0.019 +/- 0.002 min-1 at 84 hours, P = NS) or AIRglucose (588 +/- 213 pmol/L at 12 hours v 687 +/- 271 pmol/L at 84 hours, P = NS). Thus, the difference in intravenous glucose tolerance observed 12 hours after exercise as compared with 84 hours after the last bout of exercise (Kg, 2.91 +/- 0.70%/min at 12 hours v 2.23 +/- 0.60%/min at 84 hours, P < .05) would appear to be entirely related to a difference in SI and not to differences in glucose effectiveness or B-cell function.

Relationship of proinsulin and insulin with noninsulin-dependent diabetes mellitus and coronary heart disease in Japanese-American men: impact of obesity--clinical research center study.

Obesity is associated with noninsulin-dependent diabetes mellitus (NIDDM) and coronary heart disease (CHD), and these interactions have usually been related to changes in immunoreactive insulin (IRI) levels. A role of proinsulin (PI) in this association has been suggested. We, therefore, examined IRI, PI, and true insulin levels and the PI/IRI ratio by glucose tolerance or CHD status in a cross-sectional study of 170 Japanese-American men (45-74 yr old) in whom 2 measures of adiposity (body mass index and intraabdominal fat) were made to assess potential associations in this population with a high prevalence of both NIDDM and CHD. Subjects were classified as having normal glucose tolerance (n = 58), impaired glucose tolerance (IGT; n = 55), or NIDDM (n = 57) or were classified by CHD status (without CHD, n = 127; with CHD, n = 43). A positive linear relationship existed between obesity, determined either as the body mass index or intraabdominal fat, and IRI, PI, and true insulin, but not the PI/IRI ratio. In the NIDDM subjects, PI levels were disproportionately greater than those in subjects with normal glucose tolerance or IGT, so the PI/IRI ratio was significantly greater in the NIDDM group [mean (95% confidence interval): normal glucose tolerance, 11.8% (range, 10.4-13.5); IGT, 12.8% (range, 10.8-15.1); NIDDM, 19.2% (range, 15.4-24.0); P = 0.0002] even when adjusted for obesity (P = 0.0004). In subjects with CHD compared to subjects without CHD, IRI (P = 0.0026) and true insulin levels (P = 0.0043) were increased, but PI levels were not. However, these differences were not present after adjustment for obesity. In contrast, when intraabdominal fat was adjusted for IRI or true insulin, a significant effect of intraabdominal fat on CHD risk was maintained (P = 0.045 and P = 0.029, respectively), suggesting that another factor(s) associated with central obesity may be involved in CHD risk. Thus, in Japanese-American men, elevated PI and PI/IRI ratio are markers of B-cell dysfunction, and these are not the result of obesity. An elevated true insulin level is present in those with CHD, but this appears to be the result of obesity. In contrast, central adiposity confers an additional risk for CHD independent of insulin.

Proinsulin as a marker for the development of NIDDM in Japanese-American men.

Disproportionate hyperproinsulinemia is one manifestation of the B-cell dysfunction observed in non-insulin-dependent diabetes mellitus (NIDDM), but it is unclear when this abnormality develops and whether it predicts the development of NIDDM. At baseline, measurements of proinsulin (PI) and immunoreactive insulin (IRI) levels were made in 87 second-generation Japanese-American men, a population at high risk for the subsequent development of NIDDM, and, by using World Health Organization criteria, subjects were categorized as having normal glucose tolerance (NGT; n = 49) or impaired glucose tolerance (IGT; n = 38). After a 5-year follow-up period, they were recategorized as NGT, IGT, or NIDDM using the same criteria. After 5 years, 16 subjects had developed NIDDM, while 71 had NGT or IGT. Individuals who developed NIDDM were more obese at baseline, measured as intra-abdominal fat (IAF) area on computed tomography (P = 0.046) but did not differ in age from those who continued to have NGT or IGT. At baseline, subjects who subsequently developed NIDDM had higher fasting glucose (P = 0.0042), 2-h glucose (P = 0.0002), fasting C-peptide (P = 0.0011), and fasting PI levels (P = 0.0033) and disproportionate hyperproinsulinemia (P = 0.056) than those who continued to have NGT or IGT after 5 years of follow-up. NIDDM incidence was positively correlated with the absolute fasting PI level (relative odds = 2.35; P = 0.0025), even after adjustment for fasting IRI, IAF, and body mass index (relative odds = 2.17; P = 0.013).(ABSTRACT TRUNCATED AT 250 WORDS)

The contribution of insulin-dependent and insulin-independent glucose uptake to intravenous glucose tolerance in healthy human subjects.

Glucose disposal occurs by both insulin-independent and insulin-dependent mechanisms, the latter being determined by the interaction of insulin sensitivity and insulin secretion. To determine the role of insulin-independent and insulin-dependent factors in glucose tolerance, we performed intravenous glucose tolerance tests on 93 young healthy subjects (55 male, 38 female; 18-44 years of age; body mass index, 19.5-52.2 kg/m2). From these tests, we determined glucose tolerance as the glucose disappearance constant (Kg), calculated beta-cell function as the incremental insulin response to glucose for 19 min after an intravenous glucose bolus (IIR0-19), and derived an insulin sensitivity index (SI) and glucose effectiveness at basal insulin (SG) using the minimal model of glucose kinetics. To eliminate the effect of basal insulin on SG and estimate insulin-independent glucose uptake, we calculated glucose effectiveness at zero insulin (GEZI = SG - [SI x basal insulin]). Insulin-dependent glucose uptake was estimated as SI x IIR0-19, because the relationship between SI and beta-cell function has been shown to be hyperbolic. Using linear regression to determine the influence of these factors on glucose tolerance, we found that GEZI was significantly related to Kg (r = 0.70; P < 0.0001), suggesting a major contribution of insulin-independent glucose uptake to glucose disappearance. As expected, SI x IIR0-19 also correlated well with Kg (r = 0.74; P < 0.0001), confirming the importance of insulin-dependent glucose uptake to glucose tolerance. Although IIR0-19 alone correlated with Kg (r = 0.35; P = 0.0005), SI did not (r = 0.18; P > 0.08).(ABSTRACT TRUNCATED AT 250 WORDS)

Reliability of error estimates from the minimal model: implications for measurements in physiological studies.

MINMOD provides an estimate of the error in the insulin sensitivity index (SI) and glucose effectiveness at basal insulin (Sg) as the fractional standard deviation (FSD). The validity of the FSD estimate has not been assessed in a large number of human studies, nor has a comparison of the accuracies achievable using the two different intravenous glucose tolerance test (IVGTT) protocols (glucose only and tolbutamide protocol) been performed. To address these two issues, we obtained the FSD value and performed Monte Carlo simulations for 237 IVGTT studies. The FSD underestimated the true error as determined as the coefficient of variation from Monte Carlo simulation (COV-MC) with the ratio of COV-MC to FSD being 3.07 +/- 0.20 (mean +/- SE) for SI using the tolbutamide protocol. Additionally, the mean COV-MC for glucose-only protocol was approximately two to three times that for the tolbutamide protocol for both SI and Sg. We conclude that FSD underestimates the true error in SI and Sg. Additionally, more accurate results are obtained from the tolbutamide protocol than with the glucose-only protocol.