Predictors of insulin sensitivity in Type 2 diabetes mellitus.

AIMS: To identify the independent predictors of insulin sensitivity in Type 2 diabetes, and to establish whether isolated Type 2 diabetes (i.e. diabetes without overweight, dyslipidaemia and hypertension) is a condition of insulin resistance. METHODS: We examined 45 patients with non-insulin-treated Type 2 diabetes undergoing a 4-h euglycaemic hyperinsulinaemic clamp (20 mU/m2 per min) combined with 3H-3-D-glucose and 14C-U-glucose infusions and indirect calorimetry. We also examined 1366 patients with non-insulin-treated Type 2 diabetes randomly selected among those attending the Diabetes Clinic and in whom insulin resistance was estimated by Homeostasis Model Assessment (HOMA-IR). RESULTS: In the 45 patients undergoing glucose clamp studies, insulin-mediated total glucose disposal (TGD) was independently and negatively associated with systolic blood pressure (standardized beta coefficient = -0.407, P = 0.003), plasma triglycerides (beta= -0.355, P = 0.007), and HbA1c (beta= -0.350, P = 0.008). The overall variability of TGD explained by these variables was 53%. Overweight diabetic subjects with central fat distribution, hypertension, hypertriglyceridaemia and poor glycometabolic control had insulin-mediated TGD values markedly lower than their lean counterparts without hypertension, with normal triglycerides, and with good glycometabolic control (16 +/- 5 vs. 31 +/- 10 micromol/min per kg lean body mass, P < 0.01). Nevertheless, the latter still were markedly insulin-resistant when compared with sex- and age-matched non-diabetic control subjects (31 +/- 10 vs. 54 +/- 13 micromol/min per kg lean body mass, P < 0.01). In the 1366 Type 2 diabetic patients of the epidemiological study, HOMA-IR value was independently associated with HbA1c (beta = 0.283, P < 0.0001), plasma triglycerides (beta = 0.246, P < 0.0001), body mass index (beta = 0.139, P < 0.001), waist girth (beta = 0.124, P < 0.001) and hypertension (beta = 0.066, P = 0.006). CONCLUSION: Overweight, central fat distribution, dyslipidaemia, hypertension and poor glycometabolic control are strong independent predictors of insulin resistance in Type 2 diabetes. However, reduced insulin sensitivity can be found even when Type 2 diabetes is isolated and well controlled.

Relation between soluble adhesion molecules and insulin sensitivity in type 2 diabetic individuals: role of adipose tissue.

OBJECTIVE: The purpose of this study was to explore the relation between insulin resistance and plasma levels of soluble adhesion molecules and to examine the effects of acute hyperinsulinemia on these molecules in type 2 diabetic individuals. RESEARCH DESIGN AND METHODS: Intercellular adhesion molecule (ICAM)-1, vascular cell adhesion molecule (VCAM)-1, and E- and P-selectin plasma concentrations were measured in 36 nonobese type 2 diabetic patients without cardiovascular disease and in 7 healthy subjects. Insulin sensitivity was assessed by a 4-h euglycemic ( approximately 5 mmol/l)-hyperinsulinemic ( approximately 300 pmol/l) clamp performed in combination with [(3)H]3-D-glucose infusion. RESULTS: Diabetic subjects were insulin resistant but did not show plasma concentrations of adhesion molecules that were significantly higher than control subjects. In diabetic subjects, plasma ICAM-1 and E-selectin were negatively correlated with total glucose disposal during the insulin clamp (r = -0.432, P < 0.01; and r = -0.375, P < 0.05, respectively), whereas plasma VCAM-1 and P-selectin were not. Plasma ICAM-1 as well as E- and P-selectin were positively correlated with BMI, total body fat (TBF), and waist girth (P < 0.05-0.001). In multiple regression analyses, the relation of plasma ICAM-1 and E-selectin with insulin sensitivity was lost after adjustment for potential confounders, including HbA(1c), blood pressure, and/or LDL cholesterol. In these analyses, BMI was the only independent predictor of plasma ICAM-1 (R(2) = 0.244, P < 0.002), whereas TBF was the only independent predictor of plasma E-selectin (R(2) = 0.202, P = 0.01). The 4-h insulin infusion during the glucose clamp did not significantly change plasma levels of adhesion molecules. CONCLUSIONS: Overall adiposity, rather than insulin resistance, may be a determinant of plasma levels of ICAM-1 and E-selectin in type 2 diabetic individuals. In these patients, acute hyperinsulinemia does not exert any significant effect on plasma adhesion molecules. These findings support the possibility that adipose tissue releases one or more factors that may adversely affect endothelial function on one hand and insulin sensitivity on the other.

Intracellular partition of plasma glucose disposal in hypertensive and normotensive subjects with type 2 diabetes mellitus.

The aim of this study was to ascertain whether the presence of hypertension conveys a more severe degree of insulin resistance in type 2 diabetes mellitus and, if so, which biochemical pathways are involved. We quantitated the rates of total glucose disposal, glycogen synthesis (GS), glycolysis, glucose oxidation, endogenous glucose production, and LOX in the basal state and during a 4-h euglycemic ( approximately 5 mM) hyperinsulinemic ( approximately 300 pM) clamp carried out in combination with a dual-tracer infusion ([(3)H]-3- and [(14)C]-U-D-glucose) and indirect calorimetry in 42 nonobese noninsulin-treated type 2 diabetic subjects (22 hypertensive and 20 normotensive) and 23 nonobese nondiabetic subjects (9 without and 14 with essential hypertension). Compared with normotensive controls, both groups of diabetic subjects were markedly insulin resistant. In the basal state, all glucose fluxes were similar in diabetic subjects with or without hypertension. During insulin infusion, total glucose disposal was significantly reduced in hypertensive diabetic subjects, compared with their normotensive counterparts (18.7 +/- 1.0 vs. 28.6 +/- 3.0 micromol/min.kg lean body mass; P < 0.01). This difference was almost entirely explained by a marked reduction in GS (4.5 +/- 2.0 vs. 12.5 +/- 3.3 micromol/min.kg lean body mass; P < 0.01). Endogenous glucose production was not different in the two diabetic groups during insulin infusion and was significantly higher than in normotensive controls. Lipid oxidation was less suppressed by hyperinsulinemia in hypertensive than in normotensive diabetic subjects (1.46 +/- 0.1 vs. 0.91 +/- 0.1 micromol/min.kg lean body mass; P < 0.01). Glucose fluxes were not significantly different in nondiabetic subjects with essential hypertension and in normotensive diabetic individuals. These results indicate that hypertension markedly aggravates insulin resistance featuring type 2 diabetes mellitus. The molecular defects underlying this phenomenon involve primarily GS.

Homeostasis model assessment closely mirrors the glucose clamp technique in the assessment of insulin sensitivity: studies in subjects with various degrees of glucose tolerance and insulin sensitivity.

OBJECTIVE: To evaluate whether the homeostasis model assessment (HOMA) is a reliable surrogate measure of in vivo insulin sensitivity in humans. RESEARCH DESIGN AND METHODS: In the present study, we compared insulin sensitivity as assessed by a 4-h euglycemic (approximately 5 mmol/l) hyperinsulinemic (approximately 300 pmol/l) clamp with HOMA in 115 subjects with various degrees of glucose tolerance and insulin sensitivity. RESULTS: We found a strong correlation between clamp-measured total glucose disposal and HOMA-estimated insulin sensitivity (r = -0.820, P<0.0001), with no substantial differences between men (r = -0.800) and women (r = -0.796), younger (aged <50 years, r = -0.832) and older (r = -0.800) subjects, nonobese (BMI <27 kg/m2, r = -0.800) and obese (r = -0.765) subjects, nondiabetic (r = -0.754) and diabetic (r = -0.695) subjects, and normotensive ( r = -0.786) and hypertensive (r = -0.762) subjects. Also, we found good agreement between the two methods in the categorization of subjects according to insulin sensitivity (weighted k = 0.63). CONCLUSIONS: We conclude that the HOMA can be reliably used in large-scale or epidemiological studies in which only a fasting blood sample is available to assess insulin sensitivity

Effect of chronic treatment with lacidipine or lisinopril on intracellular partitioning of glucose metabolism in type 2 diabetes mellitus.

Antihypertensive treatment is frequently needed in type 2 diabetes. In this study we measured the rates of total, oxidative, and nonoxidative glucose disposal, glycogen synthesis, glycolysis, endogenous glucose production, and lipid oxidation using a 4-h euglycemic (approximately 5 mmol/L) hyperinsulinemic (approximately 300 pmol/L) clamp in combination with a dual glucose tracer infusion ([3-(3)H]- and [U-14C] D-glucose) and indirect calorimetry in 40 nonobese subjects with type 2 diabetes. Subjects were studied twice: after a 4-week run-in period and after a 16-week period of double blind, randomized treatment with 4-6 mg/day lacidipine, a calcium channel blocker (n = 19), or 10-20 mg/day lisinopril, an angiotensin-converting enzyme inhibitor (n = 21). Antihypertensive treatment resulted in a significant increase in total glucose disposal during insulin clamp as well as in basal and insulin-stimulated nonoxidative glucose disposal rates. On the contrary, oxidative glucose disposal was significantly decreased by antihypertensive treatment, mainly in the basal state. The changes in glucose disposal rates were not significantly different in subjects treated with lacidipine and in those treated with lisinopril. The suppression of endogenous glucose production during insulin clamp was significantly greater after lacidipine than after lisinopril. These results suggest that treatment of subjects with type 2 diabetes with either lacidipine or lisinopril has no adverse effect on glucose metabolism. Conversely, both drugs seem to improve insulin sensitivity.

Cigarette smoking and insulin resistance in patients with noninsulin-dependent diabetes mellitus.

To evaluate the effects of chronic cigarette smoking on insulin sensitivity in patients with noninsulin-dependent diabetes mellitus (NIDDM), we examined 28 smokers and 12 nonsmokers with NIDDM, of similar sex, age, body mass index, waist/hip ratio, alcohol consumption, physical activity level, glycometabolic control, diabetes duration, and treatment. Insulin and C-peptide responses to oral glucose load were significantly higher in smokers than nonsmokers, whereas glucose levels were not substantially different. During insulin clamp (20 mU/min.m2), carried out in combination with tritiated glucose infusion and indirect calorimetry, total glucose disposal was markedly reduced in smokers vs. nonsmokers [19 +/- 1.2 vs. 33 +/- 5 mumol/min.kg fat-free mass (FFM); P < 0.001], in a dose-dependent fashion (F = 6.8, P < 0.001 by ANOVA when subjects were categorized for number of cigarettes smoked per day). Oxidative (9 +/- 1 vs. 14 +/- 2 mumol/min.kg FFM; P < 0.01) and nonoxidative (10 +/- 1 vs. 19 +/- 4 mumol/min.kg FFM; P < 0.01) pathways of insulin-mediated intracellular glucose metabolism were similarly reduced in smokers vs. nonsmokers. Plasma free fatty acid levels (240 +/- 33 vs. 130 +/- 23 microEq/L; P < 0.05) and lipid oxidation rate (1.39 +/- 0.1 vs. 0.95 +/- 0.2 mumol/ min.kg FFM; P < 0.05) were less suppressed by hyperinsulinemia in smokers than nonsmokers. In conclusion, chronic cigarette smoking seems to markedly aggravate insulin resistance in patients with NIDDM.

Obesity worsens cardiovascular risk profiles independently of hyperinsulinaemia.

OBJECTIVE: To investigate whether human obesity is characterized by a worse cardiovascular risk profile (than no obesity) even in the absence of hyperinsulinaemia. SUBJECTS AND DESIGN: A total of 367 healthy subjects (247 nonobese and 120 obese) with normal glucose tolerance and without family history of diabetes mellitus. INTERVENTIONS: A 75-g oral glucose tolerance test was performed in all participants. MAIN OUTCOME MEASURES: Anthropometry, blood pressure, fasting plasma lipids and urate, plasma glucose and insulin concentrations at fasting, 1 h and 2 h after oral glucose load. RESULTS: In a multivariate linear regression analysis, body mass index was strongly related to all cardiovascular risk factors, independently of sex, age and plasma insulin. When risk factors were compared in 37 normoinsulinaemic obese subjects (plasma insulin within one standard deviation of the mean values observed in the 247 nonobese subjects), and in 37 sex- and age-matched normoinsulinaemic nonobese subjects, we found that plasma glucose levels were similar in the two groups, whereas plasma triglyceride (1.50 +/- 0.13 vs. 1.13 +/- 0.08 mmol L-1; mean +/- SE), low-density lipoprotein cholesterol (3.42 +/- 0.25 vs. 2.77 +/- 0.18 mmol L-1) and urate (290 +/- 12 vs. 255 +/- 12 mumol L-1) levels were significantly higher, and plasma high-density lipoprotein cholesterol concentrations were lower (1.27 +/- 0.04 vs. 1.46 +/- 0.06 mmol L-1) in obese than in nonobese subjects with normal plasma insulin levels (P < 0.01). Also systolic (132 +/- 2 vs. 124 +/- 2 mmHg) and diastolic (86 +/- 1 vs. 81 +/- 1 mmHg) blood pressure values were significantly higher in normoinsulinaemic obese subjects than in normoinsulinaemic nonobese individuals (P < 0.001). CONCLUSIONS: These results suggest that in human obesity a worse cardiovascular risk profile is found (than in the nonobese) independently of the presence of hyperinsulinaemia.

Relationship between fasting insulin and cardiovascular risk factors is already present in young men: the Verona Young Men Atherosclerosis Risk Factors Study.

The associations between fasting plasma insulin concentration and risk factors for cardiovascular disease were examined in 979 18-year-old men participating in the Verona Young Men Atherosclerosis Risk Factors Study, a cross-sectional population-based study. Body mass index (BMI), waist-to-hip ratio (WHR), plasma triglycerides and uric acid concentrations, and blood pressure values significantly increased, and the high-density lipoprotein (HDL)-total cholesterol ratio decreased, across quartiles of fasting insulin. Total and low-density lipoprotein cholesterol, concentrations did not change significantly with the increase in fasting insulin levels. After adjustment for BMI, WHR, smoking, alcohol intake and physical activity, only plasma triglycerides significantly increased across insulin quartiles (F = 7.1; P < 0.001). However, systolic blood pressure and uric acid were close to statistical significance (P = 0.06-0.07). Multiple linear regression analysis confirmed that plasma insulin was independently correlated with plasma triglycerides and, to a lesser extent, with blood pressure and uric acid concentration. This analysis pointed out that BMI was a stronger independent predictor of all cardiovascular disease risk factors than fasting insulin. When subjects were categorized according to the number of metabolic and haemodynamic disorders occurring within the same individual, subjects with multiple disorders (i.e, three or four) had higher plasma insulin levels than those with none or few disorders, even after adjusting for BMI, WHR and behavioural variables (F = 4.0; P < 0.01). These results indicate that hyperinsulinaemia is already associated with a cluster of cardiovascular disease risk factors in young adulthood, the strongest independent association being with plasma triglycerides.

Relationship of uric acid concentration to cardiovascular risk factors in young men. Role of obesity and central fat distribution. The Verona Young Men Atherosclerosis Risk Factors Study.

OBJECTIVE: To examine the relationships of serum uric acid concentration with several risk factors of cardiovascular diseases (CVD). SUBJECTS: 957 men 18 y old participating in the Verona Young Men Atherosclerosis Risk Factors Study, a cross-sectional population-based study. MEASUREMENTS: Body mass index (BMI), waist/hip ratio (WHR), serum uric acid, serum lipids, blood pressure, fasting insulin and behavioural variables. RESULTS: Serum uric acid concentration showed positive associations with BMI (r = 0.24; P < 0.0001), WHR (r = 0.19; P < 0.0001) and serum triglyceride levels (r = 0.19; P < 0.0001); it was also significantly correlated to systolic (r = 0.08; P < 0.01) and diastolic (r = 0.11; P < 0.001) blood pressure, fasting insulin (r = 0.11; P < 0.001), total (r = 0.12; P < 0.001) and LDL cholesterol (r = 0.10; P < 0.01) plasma concentrations. Life-style characteristics, such as smoking and physical activity did not show any significant association, while daily alcohol intake was positively associated with uric acid concentration (r = 0.09; P < 0.01). While the adjustment for fasting insulin did not substantially change these results, the magnitude of the correlations between uric acid and CVD risk factors markedly decreased when allowance was made for BMI and WHR. Only triglycerides maintained an independent correlation with uric acid levels (r = 0.17; P < 0.0001). In multivariate regression analysis, serum triglycerides, BMI and WHR (at borderline significance) were independent positive predictors of uric acid (R2 of the model 0.122, P < 0.001), while fasting insulin concentration did not give any independent contribution to explain the variability uric acid levels. CONCLUSIONS: These data indicate that, already in young, essentially health subjects, hyperuricaemia associates with several components of the so-called insulin resistance syndrome, thus suggesting that increased levels of uric acid might be another member of this syndrome. In addition, these data suggest that obesity and central body fat distribution, rather than hyperinsulinaemia/insulin resistance, play a major role in linking hyperuricaemia with CVD risk factors clustering in the insulin resistance syndrome. Nevertheless, hypertrigliceridemia is related to hyperuricemia independently of obesity and central body fat distribution.