Andrea Natali

Insulin resistance and hypersecretion in obesity. European Group for the Study of Insulin Resistance (EGIR).

Insulin resistance and insulin hypersecretion are established features of obesity. Their prevalence, however, has only been inferred from plasma insulin concentrations. We measured insulin sensitivity (as the whole-body insulin-mediated glucose uptake) and fasting posthepatic insulin delivery rate (IDR) with the use of the euglycemic insulin clamp technique in a large group of obese subjects in the database of the European Group for the Study of Insulin Resistance (1,146 nondiabetic, normotensive Caucasian men and women aged 18-85 yr, with a body mass index (BMI) ranging from 15 to 55 kg.m-2). Insulin resistance, defined as the lowest decile of insulin sensitivity in the lean subgroup (608 subjects with a mean BMI of 29 kg.m-2). Insulin sensitivity declined linearly with BMI at an age- and sex-adjusted rate of 1.2 micromol.min-1.kg FFM-1 per BMI unit (95% confidence intervals = 1.0-1.4). Insulin hypersecretion, defined as the upper decile of IDR, was significantly (P<0.0001) more prevalent (38%) than insulin resistance in the obese group. In the whole dataset, IDR rose as a function of both BMI and insulin resistance in a nonlinear fashion. Neither the waist circumference nor the waist-to-hip ratio, indices of body fat distribution, was related to insulin sensitivity after adjustment for age, gender, and BMI; both, however, were positively associated (P<0.001) with insulin hypersecretion, particularly in women. In nondiabetic, normotensive obese subjects, the prevalence of insulin resistance is relatively low, and is exceeded by the prevalence of insulin hypersecretion, particularly in women with central obesity. In the obese with preserved insulin sensitivity, risk for diabetes, cardiovascular risk, and response to treatment may be different than in insulin resistant obesity.

Endothelial function and dysfunction. Part Ii: Association with cardiovascular risk factors and diseases. A statement by the Working Group on Endothelins and Endothelial Factors of the European Society of Hypertension*

Dysfunction of the vascular endothelium is a hallmark of most conditions that are associated with atherosclerosis and is therefore held to be an early feature in atherogenesis. However, the mechanisms by which endothelial dysfunction occurs in smoking, dyslipidaemia, hyperhomocysteinaemia, diabetes mellitus, arterial hypertension, cerebrovascular diseases, coronary artery disease and heart failure are complex and heterogeneous. Recent data indicate that endothelial dysfunction is often associated with erectile dysfunction, which can precede and predict cardiovascular disease in men. This paper will provide a concise overview of the mechanisms causing endothelial dysfunction in the different cardiovascular risk factors and disease conditions, and of the impact of the intervention measures and treatments.

α-Hydroxybutyrate Is an Early Biomarker of Insulin Resistance and Glucose Intolerance in a Nondiabetic Population

Background Insulin resistance is a risk factor for type 2 diabetes and cardiovascular disease progression. Current diagnostic tests, such as glycemic indicators, have limitations in the early detection of insulin resistant individuals. We searched for novel biomarkers identifying these at-risk subjects. Methods Using mass spectrometry, non-targeted biochemical profiling was conducted in a cohort of 399 nondiabetic subjects representing a broad spectrum of insulin sensitivity and glucose tolerance (based on the hyperinsulinemic euglycemic clamp and oral glucose tolerance testing, respectively). Results Random forest statistical analysis selected α-hydroxybutyrate (α–HB) as the top-ranked biochemical for separating insulin resistant (lower third of the clamp-derived MFFM = 33 [12] µmol·min−1·kgFFM −1, median [interquartile range], n = 140) from insulin sensitive subjects (MFFM = 66 [23] µmol·min−1·kgFFM −1) with a 76% accuracy. By targeted isotope dilution assay, plasma α–HB concentrations were reciprocally related to MFFM; and by partition analysis, an α–HB value of 5 µg/ml was found to best separate insulin resistant from insulin sensitive subjects. α–HB also separated subjects with normal glucose tolerance from those with impaired fasting glycemia or impaired glucose tolerance independently of, and in an additive fashion to, insulin resistance. These associations were also independent of sex, age and BMI. Other metabolites from this global analysis that significantly correlated to insulin sensitivity included certain organic acid, amino acid, lysophospholipid, acylcarnitine and fatty acid species. Several metabolites are intermediates related to α-HB metabolism and biosynthesis. Conclusions α–hydroxybutyrate is an early marker for both insulin resistance and impaired glucose regulation. The underlying biochemical mechanisms may involve increased lipid oxidation and oxidative stress.

Insulin Resistance, Hyperinsulinemia, and Blood Pressure: Role of Age and Obesity

In population surveys, blood pressure and plasma insulin concentration are related variables, but the association is confounded by age and obesity. Whether insulin resistance is independently associated with higher blood pressure in normal subjects is debated. We analyzed the database of the European Group for the Study of Insulin Resistance, made up of nondiabetic men and women from 20 centers, in whom insulin sensitivity was measured by the euglycemic insulin clamp. After excluding subjects aged > or =70 years, those with severe obesity (body mass index [BMI] >40 kg x m[-2]), and those with abnormal blood pressure values (> or =140/90 mm Hg), 333 cases (ages 18 to 70 years; BMI, 18.4 to 39.8 kg x m[-2]) were available for analysis. In univariate analysis, both systolic and diastolic blood pressures were inversely related to insulin sensitivity, with r values of 0.18 (P<.005) and 0.34 (P<.0001), respectively. In a multivariate model simultaneously accounting for sex, age, BMI, and fasting insulin, systolic and diastolic blood pressures were still inversely related to insulin sensitivity (partial r, 0.15 and 0.19; P<.01 for both). In this model, age was positively related to blood pressure levels independently of insulin sensitivity, whereas BMI was not. The predicted impact on blood pressure of a decrease in insulin sensitivity of 10 micromol x min(-1) x kg(-1) was +1.4 mm Hg, similar to that associated with a 10-year difference in age. Although insulin levels and insulin action were reciprocally interrelated, diastolic blood pressure varied as a simultaneous function of both. In normotensive, nondiabetic Europeans, insulin sensitivity and age are significant, mutually independent correlates of blood pressure, whereas body mass is not. The relation of blood pressure to both insulin action and circulating insulin levels is compatible with distinct influences on blood pressure by insulin resistance and compensatory hyperinsulinemia.

Effect of Insulin on Renal Sodium and Uric Acid Handling in Essential Hypertension

In normal subjects, insulin decreases the urinary excretion of sodium, potassium, and uric acid. We tested whether these renal effects of insulin are altered in insulin resistant hypertension. In 37 patients with essential hypertension, we measured the changes in urinary excretion of sodium, potassium, and uric acid in response to physiological euglycemic hyperinsulinemia (by using the insulin clamp technique at an insulin infusion rate of 6 pmol/min/kg). Glucose disposal rate averaged 26.6 +/- 1.5 mumol/min/kg, i.e., 20% lower than in normotensive controls (33.1 +/- 2.1 mumol/min/kg, P = .015) In the basal state, fasting plasma uric acid concentrations were higher in men than women (P < .001), were positively related to body mass index (r = 0.38, P = .02), waist/hip ratio (r = 0.35, P < .05), and serum triglyceride levels (r = 0.59, P = .0001), and negatively related to HDL cholesterol concentrations (r = -0.59, P = .0001) and glucose disposal rate (r = 0.42, P < .01). Uric acid clearance, on the other hand, was inversely related to body mass index (r = 0.41, P = .01), plasma uric acid (r = 0.65, P < .0001) and triglyceride concentrations (r = 0.39, P < .02), and directly related to HDL cholesterol levels (r = 0.52, P < .001). During insulin infusion, blood pressure, plasma uric acid and sodium concentration, and creatinine clearance did not change. In contrast, hyperinsulinemia caused a significant decrease in the urinary excretion of uric acid (2.67 +/- 0.12 to 1.86 +/- .14 mumol/min/1.73 m2, P = .0001), sodium (184 +/- 12 to 137 +/- 14 mumol/min/1.73 m2, P = .0001), and potassium (81 +/- 7 to 48 +/- 4 mumol/ min/1.73 m2, P = .0001). Both in absolute terms (clearance and fractional excretion rates) and percentagewise, these changes were similar to those found in normotensive subjects. Insulin-induced changes in urate excretion were coupled (r = 0.55, P < .0001) to the respective changes in sodium excretion. In hypertensive patients, higher uric acid levels and lower renal urate clearance rates cluster with insulin resistance and dyslipidemia. Despite insulin resistance of glucose metabolism, acute physiological hyperinsulinemia causes normal antinatriuresis, antikaliuresis, and antiuricosuria in these patients.

Effects of metformin and thiazolidinediones on suppression of hepatic glucose production and stimulation of glucose uptake in type 2 diabetes: a systematic review

Aims/hypothesisInsulin resistance, which manifests itself as endogenous glucose overproduction and reduced insulin-mediated glucose uptake, is a core defect in type 2 diabetes. Metformin and the peroxisome proliferator-activated receptor-γ agonists, the thiazolidinediones (TZDs), both lower glucose, although their mechanism of action is still subject to debate. This review analyses the evidence relevant to these mechanisms in vivo.Materials and methodsA systematic search of MEDLINE identified a total of 42 clinical studies that investigated the effects of TZDs (n=23) and/or metformin (n=19) on endogenous glucose production (using tracer glucose techniques) and peripheral glucose disposal (using the euglycaemic–hyperinsulinaemic clamp) in patients with type 2 diabetes (n=549). The original variables assessed were converted into standardised units and their mean group values were listed separately for open and placebo-controlled studies. Statistical analysis was scarried out, treating mean group values as individual values and comparing results (both as absolute values and percentage changes from baseline) across study categories (open vs placebo-controlled, TZDs vs metformin).ResultsBoth TZDs and metformin enhance insulin suppression of endogenous glucose production and fasting plasma glucose clearance. TZDs, but not metformin, also improve insulin-mediated glucose uptake at all insulin levels.Conclusions/interpretationIn patients with type 2 diabetes, metformin improves fasting hepatic insulin sensitivity and glucose clearance; TZDs improve fasting hepatic insulin sensitivity and glucose clearance, and potentiate glucose disposal under insulinised conditions.

Hyperinsulinemia and Autonomic Nervous System Dysfunction in Obesity Effects of Weight Loss

Background —Because hyperinsulinemia acutely stimulates adrenergic activity, it has been postulated that chronic hyperinsulinemia may lead to enhanced sympathetic tone and cardiovascular risk. Methods and Results —In 21 obese (body mass index, 35±1 kg/m2) and 17 lean subjects, we measured resting cardiac output (by 2-dimensional echocardiography), plasma concentrations and timed (diurnal versus nocturnal) urinary excretion of catecholamines, and 24-hour heart rate variability (by spectral analysis of ECG). In the obese versus lean subjects, cardiac output was increased by 22% (P <0.03), and the nocturnal drop in urinary norepinephrine output was blunted (P =0.01). Spectral power in the low-frequency range was depressed throughout 24 hours (P <0.04). During the afternoon and early night, ie, the postprandial phase, high-frequency power was lower, heart rate was higher; and the ratio of low to high frequency, an index of sympathovagal balance, was increased in direct proportion to the degree of hyperinsulinemia independent of body mass index (partial r =0.43, P =0.01). In 9 obese subjects who lost 10% to 18% of their body weight, cardiac output decreased and low-frequency power returned toward normal (P <0.05). Conclusions —In free-living subjects with uncomplicated obesity, chronic hyperinsulinemia is associated with a high-output, low-resistance hemodynamic state, persistent baroreflex downregulation, and episodic (postprandial) sympathetic dominance. Reversal of these changes by weight loss suggests a causal role for insulin.

Effect of Insulin on Acetylcholine-Induced Vasodilation in Normotensive Subjects and Patients With Essential Hypertension

BACKGROUND The present study was designed to directly test the vasodilation action of insulin and its relation to endothelium-dependent mechanisms. METHODS AND RESULTS In 18 normotensive subjects and 27 patients with untreated mild to moderate essential hypertension, we studied the effect of intrabrachial insulin on the changes in forearm blood flow (strain-gauge plethysmography) induced by intrabrachial acetylcholine (at doses of 0.15, 0.45, 1.5, 4.5, and 15 micrograms.min-1.dL-1), an endothelium-dependent vasodilator, or sodium nitroprusside (at doses of 1, 2, and 4 micrograms.min-1.dL-1), and endothelium-independent vasodilator. Local hyperinsulinemia (deep venous plasma insulin, 48 +/- 6 and 51 +/- 5 microU/mL in control subjects and hypertensive patients, respectively) did not affect basal forearm blood flow and stimulated forearm glucose extraction (control subjects, 3 +/- 1% to 11 +/- 2%, P < .001; hypertensive patients, 3 +/- 1% to 6 +/- 1%, P < .001; P < .01 for the between-group difference). In both normotensive and hypertensive subjects, insulin significantly potentiated acetylcholine-induced vasodilation, whereas it did not alter the vasodilatory response to sodium nitroprusside. NG-monomethyl-L-arginine, an inhibitor of endothelial nitric oxide synthesis, blunted insulin-induced facilitation of acetylcholine vasodilation in normotensive but not in hypertensive subjects. In contrast, in hypertensive patients but not in normotensive control subjects, the potentiation of the vascular response to acetylcholine induced by local hyperinsulinemia was abolished by intrabrachial ouabain, an inhibitor of Na(+)-K+ pump. CONCLUSIONS In healthy humans and essential hypertensive patients alike, local physiological hyperinsulinemia per se does not increase forearm blood flow but potentiates the vasodilation induced by acetylcholine regardless of metabolic insulin resistance. This effect is endothelium-dependent because it is not seen with nitroprusside and is related to the L-arginine-nitric oxide pathway in normotensive subjects and to smooth muscle cell hyperpolarization in essential hypertensive patients.

Early Metabolic Markers of the Development of Dysglycemia and Type 2 Diabetes and Their Physiological Significance

Metabolomic screening of fasting plasma from nondiabetic subjects identified α-hydroxybutyrate (α-HB) and linoleoyl-glycerophosphocholine (L-GPC) as joint markers of insulin resistance (IR) and glucose intolerance. To test the predictivity of α-HB and L-GPC for incident dysglycemia, α-HB and L-GPC measurements were obtained in two observational cohorts, comprising 1,261 nondiabetic participants from the Relationship between Insulin Sensitivity and Cardiovascular Disease (RISC) study and 2,580 from the Botnia Prospective Study, with 3-year and 9.5-year follow-up data, respectively. In both cohorts, α-HB was a positive correlate and L-GPC a negative correlate of insulin sensitivity, with α-HB reciprocally related to indices of β-cell function derived from the oral glucose tolerance test (OGTT). In follow-up, α-HB was a positive predictor (adjusted odds ratios 1.25 [95% CI 1.00–1.60] and 1.26 [1.07–1.48], respectively, for each standard deviation of predictor), and L-GPC was a negative predictor (0.64 [0.48–0.85] and 0.67 [0.54–0.84]) of dysglycemia (RISC) or type 2 diabetes (Botnia), independent of familial diabetes, sex, age, BMI, and fasting glucose. Corresponding areas under the receiver operating characteristic curve were 0.791 (RISC) and 0.783 (Botnia), similar in accuracy when substituting α-HB and L-GPC with 2-h OGTT glucose concentrations. When their activity was examined, α-HB inhibited and L-GPC stimulated glucose-induced insulin release in INS-1e cells. α-HB and L-GPC are independent predictors of worsening glucose tolerance, physiologically consistent with a joint signature of IR and β-cell dysfunction.

Roles of glucose transport and glucose phosphorylation in muscle insulin resistance of NIDDM

Insulin resistance for glucose metabolism in skeletal muscle is a key feature in NIDDM. The quantitative role of the cellular effectors of glucose metabolism in determining this insulin resistance is still imperfectly known. We assessed transmembrane glucose transport and intracellular glucose phosphorylation in vivo in skeletal muscle in nonobese NIDDM patients. We performed euglycemic insulin clamp studies in combination with the forearm balance technique (brachial artery and deep forearm vein catheterization) in five nonobese NIDDM patients and seven age- and weight-matched control subjects (study 1). D-Mannitol (a nontransportable molecule), 3-O-[14C]methyl-D-glucose (transportable, but not metabolizable) and D[3-3H]glucose (transportable and metabolizable) were simultaneously injected into the brachial artery, and the washout curves were measured in the deep venous effluent blood. In vivo rates of transmembrane transport and intracellular phosphorylation of D-glucose in forearm muscle were determined by analyzing the washout curves with the aid of a multicompartmental model of glucose kinetics in forearm tissues. At similar steady-state concentrations of plasma insulin (approximately 500 pmol/l) and glucose (approximately 5.0 mmol/l), the rates of transmembrane influx (34.3 +/- 9.1 vs. 58.5 +/- 6.5 micromol x min(-1) x kg(-1), P < 0.05) and intracellular phosphorylation (5.4 +/- 1.6 vs. 38.8 +/- 5.1 micromol x min(-1) x kg(-1), P < 0.01) in skeletal muscle were markedly lower in the NIDDM patients than in the control subjects. In the NIDDM patients (study 2), the insulin clamp was repeated at hyperglycemia, (approximately 13 mmol/l) trying to match the rates of transmembrane glucose influx measured during the clamp in the controls. The rate of transmembrane glucose influx (62 +/- 15 micromol x min(-1) x kg(-1)) in the NIDDM patients was similar to the control subjects, but the rate of intracellular glucose phosphorylation (16.6 +/- 7.5 micromol x min(-1) x kg(-1)), although threefold higher than in the patients during study 1 (P < 0.05), was still approximately 60% lower than in the control subjects (P < 0.05). These data suggest that when assessed in vivo, both transmembrane transport and intracellular phosphorylation of glucose are refractory to insulin action and add to each other in determining insulin resistance in skeletal muscle of NIDDM patients. It will be of interest to compare the present results with the in vivo quantitation of the initial rate of muscle glucose transport when methodology to perform this measurement becomes available.