Insulin sensitivity indices calculated from basal and OGTT-induced insulin, glucose, and FFA levels

Beta cell function after weight loss: a clinical trial comparing gastric bypass surgery and intensive lifestyle intervention

OBJECTIVE

The effects of various weight loss strategies on pancreatic beta cell function remain unclear. We aimed to compare the effect of intensive lifestyle intervention (ILI) and Roux-en-Y gastric bypass surgery (RYGB) on beta cell function.

DESIGN

One year controlled clinical trial (ClinicalTrials.gov identifier NCT00273104).

METHODS

One hundred and nineteen morbidly obese participants without known diabetes from the MOBIL study (mean (s.d.) age 43.6 (10.8) years, body mass index (BMI) 45.5 (5.6) kg/m², 84 women) were allocated to RYGB (n = 64) or ILI (n = 55). The patients underwent repeated oral glucose tolerance tests (OGTTs) and were categorised as having either normal (NGT) or abnormal glucose tolerance (AGT). Twenty-nine normal-weight subjects with NGT (age 42.6 (8.7) years, BMI 22.6 (1.5) kg/m², 19 women) served as controls. OGTT-based indices of beta cell function were calculated.

RESULTS

One year weight reduction was 30% (8) after RYGB and 9% (10) after ILI (P < 0.001). Disposition index (DI) increased in all treatment groups (all P<0.05), although more in the surgery groups (both P < 0.001). Stimulated proinsulin-to-insulin (PI/I) ratio decreased in both surgery groups (both P < 0.001), but to a greater extent in the surgery group with AGT at baseline (P < 0.001). Post surgery, patients with NGT at baseline had higher DI and lower stimulated PI/I ratio than controls (both P < 0.027).

CONCLUSIONS

Gastric bypass surgery improved beta cell function to a significantly greater extent than ILI. Supra-physiological insulin secretion and proinsulin processing may indicate excessive beta cell function after gastric bypass surgery.

The genetics of insulin resistance: Where's Waldo?

The physiologic hallmarks of type 2 diabetes are insulin resistance in hepatic and peripheral tissues and pancreatic β-cell dysfunction. Thus, genetic loci underlying susceptibility to type 2 diabetes are likely to map to one of these endophenotypes. Genome-wide association studies have now identified up to 38 susceptibility loci for type 2 diabetes and a number of other loci underlying variation in type 2 diabetes-related quantitative traits. The majority are of unknown biology or map to pancreatic β-cell dysfunction. A seemingly disproportionate minority map to insulin resistance. We briefly discuss the known insulin resistance loci identified from genome-wide association, and then discuss reasons why additional insulin resistance loci have not been identified. We present alternative views that may partly explain the apparent dearth of insulin resistance loci contributing to genetic susceptibility to type 2 diabetes, rather than focus on traditional issues such as study design and sampling, which have been addressed elsewhere.

Studies of insulin resistance in patients with clinical and subclinical hyperthyroidism

OBJECTIVE

Although clinical hyperthyroidism (HR) is associated with insulin resistance, the information on insulin action in subclinical hyperthyroidism (SHR) is limited.

DESIGN AND METHODS

To investigate this, we assessed the sensitivity of glucose metabolism to insulin in vivo (by an oral glucose tolerance test) and in vitro (by measuring insulin-stimulated rates of glucose transport in isolated monocytes) in 12 euthyroid subjects (EU), 16 patients with HR, and 10 patients with SHR.

RESULTS

HR and SHR patients displayed higher postprandial glucose levels (area under the curve, AUC(0)(-)(300) 32,190±1067 and 31,497±716,mg/dl min respectively) versus EU (27,119±1156 mg/dl min, P<0.05). HR but not SHR patients displayed higher postprandial insulin levels (AUC(0)(-)(300) 11,020±985 and 9565±904 mU/l min respectively) compared with EU subjects (AUC(0)(-)(300) 7588±743 mU/l min, P<0.05). Homeostasis model assessment index was increased in HR and SHR patients (2.81±0.3 and 2.43±0.38 respectively) compared with EU subjects (1.27±0.16, P<0.05), while Matsuda and Belfiore indices were decreased in HR (4.21±0.41 and 0.77±0.05 respectively, P<0.001) and SHR patients (4.47±0.33 and 0.85±0.05 respectively, P<0.05 versus EU (7.76±0.87 and 1 respectively). At 100 μU/ml insulin, i) GLUT3 levels on the monocyte plasma membrane were increased in HR (468.8±7 mean fluorescence intensity (MFI)) and SHR patients (522.2±25 MFI) compared with EU subjects (407±18 MFI, P<0.01 and P<0.05 respectively), ii) glucose transport rates in monocytes (increases from baseline) were decreased in HR patients (37.8±5%) versus EU subjects (61.26±10%, P<0.05).

CONCLUSIONS

Insulin-stimulated glucose transport in isolated monocytes of patients with HR was decreased compared with EU subjects. Insulin resistance was comparable in patients with both HR and SHR.

Regulation of subcutaneous adipose tissue blood flow is related to measures of vascular and autonomic function

Appropriate blood vessel function is important to cardiovascular health. Adipose tissue plays an important role in metabolic homoeostasis, and subcutaneous abdominal ATBF (adipose tissue blood flow) is responsive to nutritional stimuli. This response is impaired in obesity, suggesting parallels with endothelial function. In the present study, we assessed whether regulation of ATBF is related to the regulation of endothelial function, assessed by FMD (flow-mediated vasodilatation) of the brachial artery. Impaired FMD is a marker of atherosclerotic risk, so we also assessed relationships between ATBF and a marker of atherosclerosis, common carotid artery IMT (intima-media thickness). As ATBF is responsive to sympatho-adrenal stimuli, we also investigated relationships with HRV (heart rate variability). A total of 79 healthy volunteers (44 female) were studied after fasting and after ingestion of 75 g of glucose. FMD, fasting ATBF and the responsiveness of ATBF to glucose were all negatively related to BMI (body mass index), confirming the adverse cardiovascular effects of adiposity. FMD was related to fasting ATBF (rs=0.32, P=0.008) and, at least in males, this relationship was independent of BMI (P=0.02). Common carotid artery IMT, measured in a subset of participants, was negatively related to fasting ATBF [rs=-0.51, P=0.02 (n=20)]. On the other hand, ATBF responsiveness to glucose had no relationship with either FMD or IMT. In multiple regression models, both fasting and stimulated ATBF had relationships with HRV. In conclusion, our results show that the regulation of ATBF has features in common with endothelial function, but also relationships with autonomic cardiovascular control as reflected in HRV.

Comparison of surrogate and direct measurement of insulin resistance in chronic hepatitis C virus infection: impact of obesity and ethnicity

Studies using surrogate estimates show high prevalence of insulin resistance in hepatitis C infection. This study prospectively evaluated the correlation between surrogate and directly measured estimates of insulin resistance and the impact of obesity and ethnicity on this relationship. Eighty-six nondiabetic, noncirrhotic patients with hepatitis C virus (age = 48 +/- 7 years, 74% male, 44% white, 22% African American, 26% Latino, 70% genotype 1) were categorized into normal-weight (body mass index [BMI] < 25, n = 30), overweight (BMI = 25-29.9, n = 38), and obese (BMI > or = 30, n = 18). Insulin-mediated glucose uptake was measured by steady-state plasma glucose (SSPG) concentration during a 240-minute insulin suppression test. Surrogate estimates included: fasting glucose and insulin, glucose/insulin, homeostasis model assessment (HOMA-IR), quantitative insulin sensitivity check index (QUICKI), insulin (I-AUC) and glucose (G-AUC) area under the curve during oral glucose tolerance test, and the Belfiore and Stumvoll indexes. All surrogate estimates correlated with SSPG, but the magnitude of correlation varied (r = 0.30-0.64). The correlation coefficients were highest in the obese. I-AUC had the highest correlation among all ethnic and weight groups (r = 0.57-0.77). HOMA-IR accounted for only 15% of variability in SSPG in the normal weight group. The common HOMA-IR cutoff of < or =3 to define insulin resistance had high misclassification rates especially in the overweight group independent of ethnicity. HOMA-IR > 4 had the lowest misclassification rate (75% sensitivity, 88% specificity). Repeat HOMA-IR measurements had higher within-person variation in the obese (standard deviation = 0.77 higher than normal-weight, 95% confidence interval = 0.25-1.30, P = 0.005).

CONCLUSION

Because of limitations of surrogate estimates, caution should be used in interpreting data evaluating insulin resistance especially in nonobese, nondiabetic patients with HCV.

Erythrocyte fatty acid composition and insulin sensitivity in daughters of Type 2 diabetic patients and women with no family history of diabetes

BACKGROUND

There is evidence that the impact of environmental factors on insulin sensitivity is modified by the presence of family history of diabetes.

AIM

To compare the association between the erythrocyte phospholipid fatty acid composition (a biomarker of dietary fatty acids) and insulin sensitivity in daughters of Type 2 diabetic patients with the corresponding association in women without family history of diabetes.

MATERIAL/SUBJECTS AND METHODS

Eighteen offspring of Type 2 diabetic patients [age 30+/-6.5 yr; body mass index (BMI) 22.2+/-2.5 kg/m2; body fat 31.8+/-5.1%] and 18 matched women (age 30.1+/-6.8 yr; BMI 22.2+/-1.8 kg/m2; body fat 32.2+/-6.0%) participated in the study.

RESULTS

Insulin Sensitivity Index (ISI)-Matsuda tended to be lower (p=0.06) in the Offspring than the control group. Weight proportions of erythrocyte phospholipid saturated (SFA), polyunsaturated (PUFA), and monounsaturated fatty acids (MUFA) were similar between the two groups. In the offspring, erythrocyte total SFA were negatively correlated with ISI-Matsuda [r=-0.47, p<0.05), ISI(gly)-Belfiore (r=-0.52, p<0.05) and ISI(ffa)-Belfiore (r=-0.53, p<0.05)], whereas total PUFA were positively correlated with insulin sensitivity [ISI-Matsuda, r=0.46, p<0.05; ISI(gly)-Belfiore, r=0.53, p<0.05; ISI(ffa)-Belfiore, r=0.54, p<0.05]. No significant correlations were observed in the control group.

CONCLUSIONS

The associations between erythrocyte fatty acid composition and insulin sensitivity are distinct between daughters of Type 2 diabetic patients and women without family history of diabetes.

Detailed physiologic characterization reveals diverse mechanisms for novel genetic Loci regulating glucose and insulin metabolism in humans

OBJECTIVE Recent genome-wide association studies have revealed loci associated with glucose and insulin-related traits. We aimed to characterize 19 such loci using detailed measures of insulin processing, secretion, and sensitivity to help elucidate their role in regulation of glucose control, insulin secretion and/or action. RESEARCH DESIGN AND METHODS We investigated associations of loci identified by the Meta-Analyses of Glucose and Insulin-related traits Consortium (MAGIC) with circulating proinsulin, measures of insulin secretion and sensitivity from oral glucose tolerance tests (OGTTs), euglycemic clamps, insulin suppression tests, or frequently sampled intravenous glucose tolerance tests in nondiabetic humans (n = 29,084). RESULTS The glucose-raising allele in MADD was associated with abnormal insulin processing (a dramatic effect on higher proinsulin levels, but no association with insulinogenic index) at extremely persuasive levels of statistical significance (P = 2.1 x 10(-71)). Defects in insulin processing and insulin secretion were seen in glucose-raising allele carriers at TCF7L2, SCL30A8, GIPR, and C2CD4B. Abnormalities in early insulin secretion were suggested in glucose-raising allele carriers at MTNR1B, GCK, FADS1, DGKB, and PROX1 (lower insulinogenic index; no association with proinsulin or insulin sensitivity). Two loci previously associated with fasting insulin (GCKR and IGF1) were associated with OGTT-derived insulin sensitivity indices in a consistent direction. CONCLUSIONS Genetic loci identified through their effect on hyperglycemia and/or hyperinsulinemia demonstrate considerable heterogeneity in associations with measures of insulin processing, secretion, and sensitivity. Our findings emphasize the importance of detailed physiological characterization of such loci for improved understanding of pathways associated with alterations in glucose homeostasis and eventually type 2 diabetes.

Continuous positive airway pressure therapy improves hypoadiponectinemia in severe obese men with obstructive sleep apnea without changes in insulin resistance

BACKGROUND

Obstructive sleep apnea (OSA) is associated with several conditions that could facilitate the onset of cardiovascular and metabolic dysfunctions. Continuous positive airway pressure (CPAP) therapy has been shown to improve cardiovascular morbidity and mortality related to OSA, but the mechanisms underlying this association are not fully understood.

OBJECTIVE

The aim of the present study was to evaluate whether sleep apnea contributes to insulin resistance and inflammatory marker alterations and to evaluate the benefits of nasal CPAP therapy in severe obese patients with OSA.

METHODS

Plasma inflammatory cytokines and the homeostasis model assessment of insulin resistance index (HOMA-IR, Insulin Sensitivity Index [ISI]) were measured in severe obese male with OSA (n = 16) and compared with body mass index (BMI)-matched male controls without OSA (n = 13). Seven patients with severe sleep apnea (apnea-hypopnea index >30 events/h) were reevaluated after 3 months of nasal CPAP therapy.

RESULTS

OSA patients had a significantly lower adiponectin levels than obese controls (8.7 +/- 1.18 ng/mL vs. 15.0 +/- 2.55 ng/mL, P = 0.025). HOMA-IR, ISI, tumor necrosis factor-alpha (TNF-alpha, C-reactive protein (CRP), and interleukin-6 (IL-6) levels were not different between groups. Although insulin resistance index and BMI values did not change after 3 months of nCPAP therapy, adiponectin levels increased (P = 0.036) and the levels of TNF-alpha tended to decrease (P = 0.065). Changes in adiponectin levels during nCPAP therapy were positively correlated with an improvement in minimum oxygen saturation (r = 0.773; P = 0.041) and negatively correlated with changes in TNF-alpha levels (r = -0.885; P = 0.008).

CONCLUSIONS

nCPAP therapy reverses hypoadiponectinemia levels present in obese men with OSA, probably through reductions in hypoxia and inflammation activity.

Insulin secretion and sensitivity in Bangladeshi prediabetic subjects

OBJECTIVE

There are still considerable controversies regarding the basic pathophysiological mechanisms of impaired fasting glucose (IFG) and/or impaired glucose tolerance (IGT). The present study was undertaken to explore the beta-cell function and insulin sensitivity in a Bangladeshi prediabetic population.

METHODS

Twenty-four IFG and 112 IGT subjects, along with 40 healthy controls, were selected purposively following 2003 ADA cut-off values and 2006 WHO/IDF grouping. IGT subjects were subcategorized into 53 isolated IGT (I-IGT) and 59 combined IFG-IGT subjects. Plasma glucose and insulin (by chemiluminescent immunoassay) were measured at fasting and 2 h after 75 g of oral glucose load. Insulin sensitivity was assessed by homeostasis model assessment (HOMA-S%) and insulin sensitivity index for glycemia (ISI(gly)) and insulin secretion by HOMA-B%.

RESULTS

Compared to control, fasting and 2-h plasma insulin were higher in I-IGT and IFG-IGT subjects; similarly, HOMA-S% [median (range)] was lower in I-IGT and IFG-IGT subjects [116 (54-227) vs. 93 (23-187) and 79 (32-197)%, P<.05 and P<.001]; ISI(gly) was also lower in I-IGT and IFG-IGT subjects [0.95 (0.54-1.64) vs. 0.64 (0.26-1.24) and 0.65 (0.29-1.20), P<.001]. But HOMA-B% was compromised in IFG and IFG-IGT groups [88 (59-182) vs. 68 (37-107) and 74 (36-141)%, P<.001 and P<.05]. The IGT group (combination of I-IGT and IFG-IGT) showed higher fasting and 2-h insulin, and lower HOMA-S% as well as ISI(gly), but compromised HOMA-B% was not evident.

CONCLUSIONS

The pathophysiological mechanisms differ in IFG (having B-cell dysfunction) and I-IGT (an insulin-resistant condition). The pathophysiology of IFG-IGT (having both B-cell dysfunction and insulin resistance) indicates that it may be a different entity and not be included in IGT.

Failure of beta-cell function to compensate lack of insulin action in hyperuricemic subjects

BACKGROUND

Elevated serum uric acid has been related to insulin resistance, but there are no studies regarding its association with beta-cell function. In this study, we examine the response of beta-cell function to compensate insulin resistance in hyperuricaemic subjects.

METHODS

Population-based cross-sectional study. A total of 212 healthy individuals, men and non-pregnant women, aged 20-65 years, were randomly recruited and allocated into groups with hyperuricaemia or normouricaemia that were matched by value of Belfiore index. Hyperuricaemia was defined by serum uric acid concentration >or=416 micromol/L in men and >or=357 micromol/L in women. To evaluate the compensation of insulin secretion to variation of insulin sensitivity, we used a surrogate of the hyperbolic model of beta-cell function based on Belfiore and Homeostasis Model Analysis beta-cell (HOMA-ss) indexes; the area under curves (AUC) was calculated. The association between the uric acid levels and the AUC was estimated using a multivariate regression analysis adjusted by age, sex, and waist circumference.

RESULTS

Hyperuricaemia was identified in 77 (36.3%) individuals. A total of 39 (50.6%) hyperuricaemic and 44 (32.6%) normouricaemic subjects had diagnosis of impaired glucose tolerance (IGT), p = 0.01. In the total population, the AUCs in the hyperuricaemic and normouricaemic groups were 1.60725 cm(2) and 3.9819 cm(2), respectively (odds ratio [OR] 3.9; CI 95% 1.4-8.9). Among the 83 individuals with IGT, the AUCs in the subgroups with and without hyperuricaemia were 0.8495 cm(2) and 2.42075 cm(2), respectively (OR 2.7; CI 95% 1.3-10.1).

CONCLUSIONS

Our results show the failure of beta-cell function to compensate variation of insulin sensitivity in the hyperuricaemic individuals.

Markers of de novo lipogenesis in adipose tissue: associations with small adipocytes and insulin sensitivity in humans

AIMS/HYPOTHESIS

Previous studies have shown relationships between fatty acid ratios in adipose tissue triacylglycerol (TG), adipocyte size and measures of insulin sensitivity. We hypothesised that variations in adipose tissue de novo lipogenesis (DNL) in relation to adiposity might explain some of these observations.

METHODS

In a cross-sectional study, subcutaneous abdominal adipose tissue biopsies from 59 people were examined in relation to fasting and post-glucose insulin sensitivity. Adipocyte size, TG fatty acid composition and mRNA expression of lipogenic genes were determined.

RESULTS

We found strong positive relationships between adipose tissue TG content of the fatty acids myristic acid (14:0) and stearic acid (18:0) with insulin sensitivity (HOMA model) (p < 0.01 for each), and inverse relationships with adipocyte size (p < 0.01, p < 0.05, respectively). Variation in 18:0 content was the determinant of the adipose tissue TG 18:1 n-9/18:0 ratio, which correlated negatively with insulin sensitivity (p < 0.01), as observed previously. Adipose tissue 18:0 content correlated positively with the mRNA expression of lipogenic genes (e.g. FASN, p < 0.01). Lipogenic gene expression (a composite measure derived from principal components analysis) was inversely correlated with adipocyte cell size (p < 0.001). There was no relationship between dietary saturated fatty acid intake and adipose tissue 18:0 content.

CONCLUSIONS/INTERPRETATION

Our data suggest a physiological mechanism whereby DNL is downregulated as adipocytes expand. Taken together with other data, they also suggest that hepatic and adipose tissue DNL are not regulated in parallel. We also confirm a strong relationship between small adipocytes and insulin sensitivity, which is independent of BMI.

Multidisciplinary approach to obesity

Obesity, associated with morbidity and mortality, is a complex disorder, characterised by an increase in fat mass (FM). Most authors agree in considering essential an integrated treatment made up of nutritional intervention, physical reconditioning programme and cognitive-behavioural psychotherapy. However, the feasibility is problematic and data in literature confirming the validity of this approach are poor.

AIM

To verify the efficacy of a multidimensional approach (Nutritional Psycho-Physical Reconditioning - NPPR) in obesity treatment.

METHODS

All patients admitted from June 2002 to June 2004 (464 subjects) ranged from 18 to 65 years old, with a body mass index (BMI) >30 kg/m2 were included in the programme. After the nutritional status evaluation a standard dietetic treatment (group N) or an integrated and multidisciplinary obesity treatment (group NPPR) was proposed.

RESULTS

In group NPPR treatment duration was significantly higher (142.6+/-26 vs 48.6+/-55 days - p=0.000), while the drop-out amount was definitely lower (5.5 vs 54.4%; p=0.000). Weight loss compared to the initial weight and the difference between initial and final FM resulted significantly higher in group NNPR. Subjects in NPPR obtained a higher increase in the distance covered in a 6-minute walk test (59.9+/-19 vs 40.5+/-17 m; p=0.04) and in muscular strength. State and trait anxiety, mood and quality of life scores improved in NPPR subjects while remained substantially stable in group N.

CONCLUSIONS

An integrated approach to obesity is the way to be pursued in order to obtain important and at least short-term results.

Serum insulin-like growth factor binding protein-1: an improvement over other simple indices of insulin sensitivity in the assessment of subjects with normal glucose tolerance

Background

Insulin resistance is associated with an increased risk of cardiovascular disease and diabetes. It can be assessed using complex reference techniques, such as clamp or frequently sampled intravenous glucose tolerance test (FSIVGTT). Therefore, simple indices derived from fasting insulin and glucose concentrations have been proposed. The aim of this study is to assess fasting serum insulin-like growth factor binding protein-1 (IGFBP-1) as a simple index of insulin sensitivity compared with other simple indices and FSIVGTT.

Methods

Fasting serum IGFBP-1, fasting plasma insulin (FPI), homeostasis model assessment (HOMA-IR), quantitative insulin check index (QUICKI), fasting glucose to insulin ratio (FGIR), Raynaud and insulin glycaemic index (ISI-gly) were correlated with FSIVGTT (Si) in 22 subjects with normal glucose tolerance (NGT) and nine with impaired fasting glucose (IFG).

Results

In NGT individuals, IGFBP-1 correlated more strongly with Si than did any other index both before ( r = 0.76) and after ( r = 0.79) natural logarithm (ln) transformation. In subjects with IFG, IGFBP-1 was weakly correlated with Si before and after ln-transformation ( r = 0.55, r = 0.56, respectively), but ISI-gly was the index most strongly correlated with Si ( r = 0.77, r = 0.85, respectively).

Conclusions

In subjects with NGT, fasting serum IGFBP-1 could be used as a simple reliable marker of insulin sensitivity. For more accurate estimation of insulin sensitivity in normal subjects and those with IFG, ln-transformation is preferred over raw data.

Distinctive postprandial modulation of beta cell function and insulin sensitivity by dietary fats: monounsaturated compared with saturated fatty acids

BACKGROUND

Exaggerated and prolonged postprandial triglyceride concentrations are associated with numerous conditions related to insulin resistance, including obesity, type 2 diabetes, and the metabolic syndrome. Although dietary fats profoundly affect postprandial hypertriglyceridemia, limited data exist regarding their effects on postprandial glucose homeostasis.

OBJECTIVE

We sought to determine whether postprandial glucose homeostasis is modulated distinctly by high-fat meals enriched in saturated fatty acids (SFAs) or monounsaturated fatty acids (MUFAs).

DESIGN

Normotriglyceridemic subjects with normal fasting glucose and normal glucose tolerance were studied. Blood samples were collected over the 8 h after ingestion of a glucose and triglyceride tolerance test meal (GTTTM) in which a panel of dietary fats with a gradual change in the ratio of MUFAs to SFAs was included. On 5 separate occasions, basal and postprandial concentrations of glucose, insulin, triglyceride, and free fatty acids (FFAs) were measured.

RESULTS

High-fat meals increased the postprandial concentrations of insulin, triglycerides, and FFAs, and they enhanced postprandial beta cell function while decreasing insulin sensitivity (as assessed with different model-based and empirical indexes: insulinogenic index, insulinogenic index/homeostasis model assessment of insulin resistance, area under the curve for insulin/area under the curve for glucose, homeostasis model assessment for beta cell function, and GTTTM-determined insulin sensitivity, oral glucose insulin sensitivity, and the postprandial Belfiore indexes for glycemia and blood FFAs. These effects were significantly ameliorated, in a direct linear relation, when MUFAs were substituted for SFAs.

CONCLUSIONS

The data presented here suggest that beta cell function and insulin sensitivity progressively improve in the postprandial state as the proportion of MUFAs with respect to SFAs in dietary fats increases.

Insulin resistance predicts endothelial dysfunction and cardiovascular risk in HIV-infected persons on long-term highly active antiretroviral therapy

OBJECTIVE

Cardiovascular disease risk among persons with HIV is likely multifactorial, thus testing a variety of available noninvasive vascular ultrasound and other surrogate tests may yield differing results. To address this issue, we assessed multiple metabolic and clinical predictors of endothelial function and carotid intima-media thickness in HIV-infected subjects and compared results with HIV-negative controls.

DESIGN

Prospective, cross-sectional study of 50 HIV-infected, healthy adults on stable highly active antiretroviral therapy matched to 50 HIV-negative controls by age, sex, race, and body mass index.

METHODS

Flow-mediated vasodilation of the brachial artery, carotid intima-media thickness, dual energy X-ray absorptiometry (HIV-infected subjects), and fasting insulin, lipids, and oral glucose tolerance tests were performed. Results were compared between HIV-infected and control groups.

RESULTS

Fifty percent of subjects were African-American with 34% women. Among HIV-infected, mean CD4 cell count was 547 cells/microl; 90% had HIV RNA less than 50 copies/ml. There were no significant differences between HIV-infected and control subjects with regard to brachial artery flow-mediated vasodilation or carotid intima-media thickness. In multivariate analyses of the HIV cohort, independent predictors of endothelial dysfunction (lower flow-mediated vasodilation) were increasing insulin resistance, greater alcohol consumption, and higher baseline brachial artery diameter (P < 0.05); predictors of increased carotid intima-media thickness were hypertension, higher trunk/limb fat ratio, and insulin resistance (P < 0.05).

CONCLUSION

In this HIV cohort on modern highly active antiretroviral therapy with well controlled HIV, there were no significant differences with regard to preclinical markers of cardiovascular disease. Insulin resistance was a strong predictor of impaired brachial artery flow-mediated vasodilation and increased carotid intima-media thickness, and may be an important cardiovascular disease risk factor in the HIV population.

Association of Trp64Arg polymorphism of beta3-adrenergic receptor with insulin resistance in Polish children with obesity

AIM

To establish the influence of the Trp64Arg variant of the beta3-adrenergic receptor (Trp64Arg- beta3AR) on body mass index (BMI) and insulin resistance (IR) in obese children.

METHODS

BMI, presence of the Trp64Arg mutation, plasma glucose and insulin concentrations during an oral glucose tolerance test (OGTT) and IR were determined in 60 obese and 33 normal weight children.

RESULTS

The frequency of Trp64Arg was similar in normal weight and obese children. BMI, glucose and insulin concentrations during an OGTT in children with Trp64Argbeta3AR were not different from those with Trp64Trpbeta3AR. IR was confirmed in 42.8% of children with Trp64Argbeta3AR and in 45.6% of children with Trp64Trpbeta3AR (NS).

CONCLUSIONS

1. The similar frequency of the Trp64Argbeta3AR variant in normal weight and obese children suggests that it is not a susceptibility gene for obesity in Polish children. 2. The presence of the Trp64Argbeta3AR variant does not have an unfavourable influence on BMI, glucose or insulin concentrations during OGTT or on IR frequency in Polish obese children.

Current approaches for assessing insulin sensitivity and resistance in vivo: advantages, limitations, and appropriate usage

Insulin resistance contributes to the pathophysiology of diabetes and is a hallmark of obesity, metabolic syndrome, and many cardiovascular diseases. Therefore, quantifying insulin sensitivity/resistance in humans and animal models is of great importance for epidemiological studies, clinical and basic science investigations, and eventual use in clinical practice. Direct and indirect methods of varying complexity are currently employed for these purposes. Some methods rely on steady-state analysis of glucose and insulin, whereas others rely on dynamic testing. Each of these methods has distinct advantages and limitations. Thus, optimal choice and employment of a specific method depends on the nature of the studies being performed. Established direct methods for measuring insulin sensitivity in vivo are relatively complex. The hyperinsulinemic euglycemic glucose clamp and the insulin suppression test directly assess insulin-mediated glucose utilization under steady-state conditions that are both labor and time intensive. A slightly less complex indirect method relies on minimal model analysis of a frequently sampled intravenous glucose tolerance test. Finally, simple surrogate indexes for insulin sensitivity/resistance are available (e.g., QUICKI, HOMA, 1/insulin, Matusda index) that are derived from blood insulin and glucose concentrations under fasting conditions (steady state) or after an oral glucose load (dynamic). In particular, the quantitative insulin sensitivity check index (QUICKI) has been validated extensively against the reference standard glucose clamp method. QUICKI is a simple, robust, accurate, reproducible method that appropriately predicts changes in insulin sensitivity after therapeutic interventions as well as the onset of diabetes. In this Frontiers article, we highlight merits, limitations, and appropriate use of current in vivo measures of insulin sensitivity/resistance.

Nitric oxide bioavailability and not production is first altered during the onset of insulin resistance in sucrose-fed rats

Although the role of nitric oxide (NO) in peripheral glucose uptake has been thoroughly described, little is known regarding the alterations in NO metabolism during the early onset of insulin resistance. During this study we investigated the alterations in NO synthesis and bioavailability in a model for dietary modulations of insulin sensitivity. For 6 weeks, rats were fed a standard diet (C), a high-sucrose diet inducing insulin resistance (HS), or high-sucrose diets supplemented with cysteine, which endowed protection against the high-sucrose-induced insulin resistance (Ti). Several markers of NO synthesis and bioavailability were assessed and confronted with markers of insulin sensitivity. After 5 weeks, although urinary cGMP excretion did not differ between the groups, insulin resistance in HS rats was associated with both a significant increase in NO oxidation, as determined by plasma nitrotyrosine concentrations, and in the inducible NO synthase (iNOS)/endothelial NO synthase (iNOS/eNOS) mRNA ratio in skeletal muscle compared with C rats. These alterations were prevented in rats fed the cysteine-rich diets. NO production, as assessed by urinary 15NO3* excretion following a [15N2-(guanido)]-arginine intra-venous bolus, independently and significantly correlated with insulin sensitivity but did not significantly differ between C, HS, and Ti rats; neither did the aortic eNOS protein expression or skeletal muscle insulin-induced eNOS activation. Our results indicate that in this model of dietary modulations of insulin sensitivity (i) NO production accounts for part of total inter-individual variation in insulin sensitivity, but (ii) early diet-related changes in insulin sensitivity are accompanied by changes in NO bioavailability.

Estimation of influence of gastric emptying on shape of glucose concentration-time profile measured in oral glucose tolerance test

AIMS

To develop a model for simulations of processes in the oral glucose tolerance test (OGTT), using tools of the theory of dynamic systems.

METHODS

Frequent sampling OGTT was performed in 13 healthy subjects (6 males and 7 females). Subsequently, employing glucose and insulin concentration-time profiles of the subjects, the model was developed.

RESULTS

In all subjects the model was able to simulate influences of the insulin plasma concentration and gastric emptying rate on glucose concentration and to determine time profiles of glucose fractions retained in stomach.

CONCLUSIONS

The approach presented represents an opportunity for building models for data analyses in OGTT.

Agreement among insulin sensitivity indexes on the diagnosis of insulin resistance in polycystic ovary syndrome and ovulatory women

OBJECTIVE

The objective was to compare agreement on the diagnosis of insulin resistance (IR) among insulin sensitivity indexes in both ovulatory women and those with polycystic ovary syndrome (PCOS).

STUDY DESIGN

In an observational study, the 75-g oral glucose tolerance test was performed in 105 women with PCOS and 51 ovulatory women. The insulin sensitivity indexes used were insulin quantitative sensitivity check index (QUICKI), 1/homeostasis model assessment-insulin resistance (1/HOMA-IR), area under curve for insulin (AUC-I), and the Matsuda insulin sensitivity index (COMP). For the IR diagnosis we used cut-off values described in recent publications (insulin >12 microIU/ml, 1/HOMA-IR <0.47, QUICKI < or =0.333, AUC-I > or =7000 microIU/ml 120 min, and COMP <4.75.

RESULTS

Excellent agreement was assessed among insulin, QUICKI, and 1/HOMA-IR. However, the rate of IR detected by these indexes in the PCOS group (44.8-51.4%) was lower than expected. New cut-offs were then determined based on COMP results. Using these values, 1/HOMA-IR and QUICKI showed excellent agreement (kappa=0.83) with COMP.

CONCLUSION

The observed agreements among insulin, QUICKI and 1/HOMA-IR were higher than 93%. Therefore, clinicians may choose any of those obtaining similar results. For clinicians who prefer COMP, but are looking for a simpler test to detect IR in PCOS women, the use of QUICKI and 1/HOMA-IR with the new cut-offs seems reasonable.

Differential effects of fatness, fitness and physical activity energy expenditure on whole-body, liver and fat insulin sensitivity

AIMS/HYPOTHESIS

The relative contributions of fitness (maximal oxygen uptake), physical activity energy expenditure (PAEE) and fatness to whole-body, liver and fat insulin sensitivity is uncertain. The aim of this study was to determine whether fitness and PAEE are associated with whole-body, liver and fat insulin sensitivity independently of body fat.

MATERIALS AND METHODS

We recruited 25 men (mean [SD] age 53 [6] years). Whole-body (M value) and liver (percentage suppression of endogenous glucose output) insulin sensitivity were estimated using a hyperinsulinaemic-euglycaemic clamp. Insulin sensitivity in fat (insulin sensitivity index for NEFA) was estimated during an OGTT. Total and truncal fat were measured by dual-energy X-ray absorptiometry, fitness by treadmill, and PAEE (n = 21) by 3 day heart rate monitoring and Baecke questionnaire.

RESULTS

In univariate analyses, fatness was strongly associated with insulin sensitivity (whole-body, liver and fat). Fitness was associated with whole-body (r = 0.53, p < 0.007) and liver (0.42, p = 0.04) insulin sensitivity, while PAEE was associated with liver insulin sensitivity (r = 0.55, p = 0.01). Regression models were established to describe associations between fatness, fitness and physical activity and measures of insulin sensitivity (whole-body, fat and liver) as outcomes. Only fatness was independently associated with whole-body insulin sensitivity (B coefficient -0.01, p = 0.001). Fitness was not associated with any outcome. Only PAEE was independently associated with liver insulin sensitivity (B coefficient 13.5, p = 0.02).

CONCLUSIONS/INTERPRETATION

Fatness explains most of the variance in whole-body insulin sensitivity. In contrast, PAEE explains most of the variance in liver insulin sensitivity.

Relationship between the hyperinsulinemic-euglycaemic clamp and a new simple index assessing insulin sensitivity in overweight and obese postmenopausal women

OBJECTIVE

The purpose of this study was to compare assessment of insulin sensitivity from hyperinsulinemic euglycaemic (HIEG) clamp with indexes derived from fasting and oral glucose tolerance test (OGTT).

SUBJECTS AND METHODS

Cross-sectional study with 107 sedentary non-diabetic overweight and obese postmenopausal (BMI=32.4+/-0.4 kg/m(2)) women undergoing both HIEG clamp and OGTT. Pairs of data were analyzed using Pearson correlation and Bland-Altman graphs analysis. Comparison between correlations was made using the method reported by Zar.

RESULTS

All the indexes derived from either the OGTT or surrogate indexes were highly correlated with all the clamp-derived formulas (P<0.0001). However, HOMA and QUICKI were generally less correlated than OGTT-derived indexes. Analogically to QUICKI, we calculated a new formula derived from the OGTT measurements of glucose and insulin named simple index assessing insulin sensitivity (SI(is)OGTT)=1/[log(sum glucose t(0-30-90-120)) (mmol/l)+log(sum insulin t(0-30-90-120)) (microUI/ml)]. By using this formula, we found high significant correlations (r's=0.61-0.65; P<0.0001) with the clamp results. Moreover, the correlations of SI(is)OGTT with the clamp data were higher than for other previously published indexes.

CONCLUSION

In that large group of non-diabetic overweight and obese postmenopausal women insulin sensitivity index derived from OGTT provided more accurate information than fasting based formula. We propose a new simple index for the assessment of insulin sensitivity from the OGTT data (SI(is)OGTT). The advantage of this new formula over all previously published OGTT-derived indexes of insulin sensitivity is that it is 1) easy to calculate 2) better correlated than other indexes of insulin sensitivity and 3) not affected by the way clamp results are expressed. Further studies are needed to validate SI(is)OGTT index in other populations.

Cortisol clearance and associations with insulin sensitivity, body fat and fatty liver in middle-aged men

AIMS/HYPOTHESIS

The regulation of cortisol metabolism in vivo is not well understood. We evaluated the relationship between cortisol metabolism and insulin sensitivity, adjusting for total and regional fat content and for non-alcoholic fatty liver disease.

MATERIALS AND METHODS

Twenty-nine middle-aged healthy men with a wide range of BMI were recruited. We measured fat content by dual-energy X-ray absorptiometry and magnetic resonance imaging (MRI), liver fat by ultrasound and MRI, the hypothalamic-pituitary-adrenal axis by adrenal response to ACTH(1-24), unconjugated urinary cortisol excretion, corticosteroid-binding globulin, and cortisol clearance by MS. We assessed insulin sensitivity by hyperinsulinaemic-euglycaemic clamp and by OGTT.

RESULTS

Cortisol clearance was strongly inversely correlated with insulin sensitivity (M value) (r = -0.61, p = 0.002). Cortisol clearance was increased in people with fatty liver compared with those without (mean+/-SD: 243 +/- 10 vs 158 +/- 36 ml/min; p = 0.014). Multiple regression modelling showed that the relationship between cortisol clearance and insulin sensitivity was independent of body fat. The relationship between fatty liver and insulin sensitivity was significantly influenced by body fat and cortisol clearance.

CONCLUSIONS/INTERPRETATION

Cortisol clearance is strongly associated with insulin sensitivity, independently of the amount of body fat. The relationship between fatty liver and insulin sensitivity is mediated in part by both fatness and cortisol clearance.

Previous hypertensive disease of pregnancy is associated with alterations of markers of insulin resistance

Insulin resistance syndrome has been observed in women with hypertensive disease of pregnancy, but few studies evaluated the presence of the syndrome a few years after delivery. The objective of this study was to evaluate the presence of insulin resistance and its metabolic alterations in these women compared with those who had a normal pregnancy. We performed an observational study in 168 women with previous hypertensive disease of pregnancy and 168 control subjects with normal pregnancy contacted, on average, 7.8 years after their first delivery (mean age: 34.8 years). Complete blood lipid profile, insulin, glucose, homocysteine, adipokins, and markers of inflammation were measured. Also, an oral glucose tolerance test was performed in 146 case and 135 control subjects. Case subjects were more overweight compared with control subjects. We found significantly lower high-density lipoprotein cholesterol and adiponectin levels and higher apolipoprotein (apo) apoB/apoA1 ratio, homocysteine, leptin, and insulin levels among case subjects compared with control subjects (P<or=0.004). Also, case subjects were more insulin resistant in the basal state estimated by homeostasis assessment model 2, as well as in the nonbasal state as estimated by insulin sensitivity indices calculated from the oral glucose tolerance test. Finally, in a multivariate regression model, leptin, apoB/apoA1 ratio, waist circumference, adiponectin, and free fatty acids explained 40% of homeostasis assessment model 2 variance. Young women with previous hypertensive disease of pregnancy show signs of insulin resistance within the first decade after delivery. These findings suggest that insulin resistance may be the link between hypertensive disease of pregnancy and increased cardiovascular risk later in life.

PPAR{alpha} mediates the hypolipidemic action of fibrates by antagonizing FoxO1

High-fructose consumption is associated with insulin resistance and diabetic dyslipidemia, but the underlying mechanism is unclear. We show in hamsters that high-fructose feeding stimulated forkhead box O1 (FoxO1) production and promoted its nuclear redistribution in liver, correlating with augmented apolipoprotein C-III (apoC-III) production and impaired triglyceride metabolism. High-fructose feeding upregulated peroxisome proliferator-activated receptor-gamma coactivator-1beta and sterol regulatory element binding protein-1c expression, accounting for increased fat infiltration in liver. High-fructose-fed hamsters developed hypertriglyceridemia, accompanied by hyperinsulinemia and glucose intolerance. These metabolic aberrations were reversible by fenofibrate, a commonly used anti-hypertriglyceridemia agent that is known to bind and activate peroxisome proliferator-activated receptor-alpha (PPARalpha). PPARalpha physically interacted with, but functionally antagonized, FoxO1 in hepatic apoC-III expression. These data underscore the importance of FoxO1 deregulation in the pathogenesis of hypertriglyceridemia in high-fructose-fed hamsters. Counterregulation of hepatic FoxO1 activity by PPARalpha constitutes an important mechanism by which fibrates act to curb apoC-III overproduction and ameliorate hypertriglyceridemia.

The BIGTT test: a novel test for simultaneous measurement of pancreatic beta-cell function, insulin sensitivity, and glucose tolerance

OBJECTIVE

Insulin resistance and impaired beta-cell function are key elements in the pathogenesis of type 2 diabetes. We aimed to develop valid algorithms for estimation of the insulin sensitivity index (S(I)) and acute insulin response (AIR) derived from simple and cheap physiological measurements that could be used in large-scale metabolic, genetic, and epidemiological studies.

RESEARCH DESIGN AND METHODS

For our purpose, data from an oral glucose tolerance test (OGTT) (18 samples during 240 min) and a tolbutamide-modified intravenous glucose tolerance test (IVGTT) (33 samples during 180 min) from 258 individuals with fasting plasma glucose <7 mmol/l and 2-h plasma glucose <7.8 mmol/l were used for model development and internal validation. Data from an additional 28 individuals were used for external validation. Bergman's minimal model was used to calculate S(I), and the trapezoidal method was used to calculate AIR(0-8 min). Multiple linear regression was applied to derive predictive equations of log(S(I)) and log(AIR(0-8 min)) using data on sex, BMI, plasma glucose, and serum insulin levels obtained during the OGTT.

RESULTS

We demonstrate that it is possible to obtain estimates of S(I) (BIGTT-S(I)) and AIR (BIGTT-AIR) that are highly correlated to IVGTT-derived values of S(I) (R(2) = 0.77) and AIR (R(2) = 0.54). In the two validation datasets we obtained similar results.

CONCLUSIONS

Data from OGTTs can provide accurate measures of insulin sensitivity and beta-cell function, which can be used in large scale metabolic, genetic, and epidemiological studies.

Impaired growth hormone secretion after glucose loading in non-obese women with polycystic ovary syndrome, possibly related to androgen but not insulin and free fatty acids

BACKGROUND

Secretion of growth hormone (GH) is known to be suppressed in women with polycystic ovary syndrome (PCOS). The suppression may be implicated in the pathogenesis of PCOS.

OBJECTIVE

To investigate the cause of suppressive GH secretion in PCOS.

METHODS

In order to eliminate the influence of obesity on the variables, all subjects were non-obese. Standard oral glucose tolerance tests (OGTT) were performed in 13 normal women and 15 patients with PCOS.

RESULTS

The serum GH level decreased progressively during the OGTT, and the mean area under the curve (AUC) for the GH response was significantly smaller in the PCOS group than in the normal group. A reduction in the level of serum free fatty acids (FFAs) was observed during OGTT, but only the fasting level of FFAs was significantly higher in the PCOS group than in the normal group. The mean AUCs for glucose, insulin and FFA responses in the PCOS group were significantly greater than those in the normal group. There was a significant negative correlation only between AUC(GH) and testosterone (r = -0.4557, p = 0.012).

CONCLUSION

Our findings suggest that the cause of susceptibility for GH secretion to be suppressed after glucose loading in non-obese PCOS patients may be hyperandrogenemia.

Assessing progression to impaired glucose tolerance and type 2 diabetes mellitus

BACKGROUND

A prospective evaluation of the relationship between insulin secretion and insulin sensitivity, derived from the fasting state, is needed in clinical practice in order to identify the worsening of glucose metabolism. In this study the authors examine whether the product of insulin sensitivity and insulin secretion, assessed from the fasting state, predicts progression from normal glucose tolerance (NGT) to impaired fasting glucose (IFG) and from impaired glucose tolerance (IGT) to type 2 diabetes mellitus (T2DM).

MATERIALS AND METHODS

A cohort of 300 subjects with NGT and 75 subjects with IGT were followed up over a 5-year period. Insulin sensitivity was calculated using the Belfiore index (B) and insulin secretion by the homeostasis model analysis beta-cell (HOMA-beta cell) index: the product of B-beta is expressed as: (40 x Ins(0) pmol L(-1))/Glu(0) mmol L(-1){[(Glu(0) mmol L(-1)x Ins(0) pmol L(-1)) + 1] - 3.5[(Glu(0) mmol L(-1) x Ins(0) pmol L(-1)) - 1]}, where Glu(0) is fasting glucose and Ins(0) is fasting insulin.

RESULTS

From baseline at the end of the follow-up period, the product B-beta decreased 10.7% and 52.2% in progressors to IGT and T2DM, respectively. The product B-beta predicts the progression from NGT to IGT [relative risk (RR) 2.7, CI(95%) 1.2-9.1] and from IGT to T2DM (RR 5.3, CI(95%) 1.3-8.55). The cut-off point for the product B-beta that better predicts progression from NGT to IGT is 0.25 (sensitivity 88%, specificity 92%) and from IGT to T2DM 0.15 (sensitivity 92%, specificity 95%).

CONCLUSIONS

Adaptation of insulin secretion to compensate for decreased insulin sensitivity during transition to IGT and T2DM can be successfully assessed with simple measures derived from the fasting state. The product B-beta predicts the development to IGT and T2DM.

Comparison of various insulin sensitivity indices in psoriatic patients and their relationship with type of psoriasis

AIM

We aimed to identify insulin resistance and its possible association with types, duration and severity of psoriasis, and to evaluate various simple insulin-sensitivity indices and beta-cell function in psoriasis.

METHODS

A cross-sectional study was performed in 110 non-obese adults (18-50 years old): 70 with psoriasis (53 type I, 17 type II psoriasis) and 40 healthy individuals. Blood glucose, insulin and C-peptide levels were measured. Oral glucose tolerance test (OGTT); insulin sensitivity and beta-cell function indices derived from a single sample and OGTT were determined and compared in three groups.

RESULTS

Total, type I and type II psoriatics had IGT rates of 18.6%, 13.2% and 40%, respectively. In the control group IGT was only 2.5%. Homeostasis Model Assessment (HOMA) beta cell index, fasting insulin, Raynaud index, HOMA-IR and FIRI results were higher in total, type I and type II psoriatics than in controls (P < 0.05, for all). Fasting Belfiore index, QUICKY index, ISI HOMA and FIRI(-1) results were lower in total, type I and type II psoriatics than in controls (P < 0.05, for all), and type I psoriatics had higher levels of these indices than type II psoriatics (P < 0.05, for all).

CONCLUSION

Our study showed that psoriatic patients were more insulin resistant than healthy subjects and type II psoriatics were more susceptible than type I psoriatics to develop IGT. We suggest that beta-cell function and insulin sensitivity indices are useful methods for measuring insulin resistance in psoriatics. We propose that OGTT should be applied especially in type II psoriatics because of increased rate of IGT in this group.

Effects of atazanavir/ritonavir and lopinavir/ritonavir on glucose uptake and insulin sensitivity: demonstrable differences in vitro and clinically

BACKGROUND

The HIV protease inhibitor (PI) atazanavir does not impair insulin sensitivity acutely but ritonavir and lopinavir induce insulin resistance at therapeutic concentrations.

OBJECTIVE

To test the hypothesis that atazanavir combined with a lower dose of ritonavir would have significantly less effect on glucose metabolism than lopinavir/ritonavir in vitro and clinically.

METHODS

Glucose uptake was measured following insulin stimulation in differentiated human adipocytes in the presence of ritonavir (2 micromol/l) combined with either atazanavir or lopinavir (3-30 micromol/l). These data were examined clinically using the hyperinsulinemic euglycemic clamp and oral glucose tolerance testing (OGTT) in 26 healthy HIV-negative men treated with atazanavir/ritonavir (300/100 mg once daily) and lopinavir/ritonavir (400/100 mg twice daily) for 10 days in a randomized cross-over study.

RESULTS

Atazanavir inhibited glucose uptake in vitro significantly less than lopinavir and ritonavir at all concentrations. Ritonavir (2 micromol/l) combined with either atazanavir or lopinavir (3-30 micromol/l) did not further inhibit glucose uptake. During euglycemic clamp, there was no significant change from baseline insulin sensitivity with atazanavir/ritonavir (P = 0.132), while insulin sensitivity significantly decreased with lopinavir/ritonavir from the baseline (-25%; P < 0.001) and from that seen with atazanavir/ritonavir (-18%; P = 0.023). During OGTT, the HOMA insulin resistance index significantly increased from baseline at 120 min with atazanavir/ritonavir and at 150 min with lopinavir/ritonavir. The area under the curve of glucose increased significantly with lopinavir/ritonavir but not with atazanavir/ritonavir.

CONCLUSIONS

Both glucose uptake in vitro and clinical insulin sensitivity in healthy volunteers demonstrate differential effects on glucose metabolism by the combination PI atazanavir/ritonavir and lopinavir/ritonavir.

Fasting-based estimates of insulin sensitivity in overweight and obesity: a critical appraisal

OBJECTIVE

To identify simple methods to estimate the degree of insulin resistance.

RESEARCH METHODS AND PROCEDURES

The performance of a wide range of fasting-based index estimates of insulin sensitivity was compared by receiver operating characteristic analysis (area under curves and their 95% confidence intervals) against the M value from euglycemic insulin clamp studies collected in the San Antonio (non-Hispanic whites and Hispanic residents of San Antonio, TX) and European Group for the Study of Insulin Resistance (non-diabetic white Europeans) databases (n = 638).

RESULTS

Insulin resistance differed substantially between lean (BMI < 25 kg/m2), overweight or obese (BMI > or = 25 kg/m2), and type 2 diabetic individuals. Estimates of insulin resistance were, therefore, assessed in each group separately. In the overweight and obese subgroup (n = 302), the receiver operating characteristic performance of fasting-based indices varied from 0.72 (0.62 to 0.82), in the case of the insulin/glucose ratio, to 0.80 (0.72 to 0.88) in the case of Belfiore free fatty acids. One superior method could not be identified; the confidence intervals overlapped, and no statistically significant differences emerged. All indices performed better when using the whole study population, with fasting plasma insulin, homeostatic model assessment, insulin/glucose ratio, quantitative insulin sensitivity check index, glucose/insulin ratio, Belfiore glycemia, revised quantitative insulin sensitivity check index, McAuley index, and Belfiore free fatty acids showing area under curves of 0.83, 0.90, 0.66, 0.90, 0.66, 0.90, 0.85, 0.83, and 0.86, respectively, because of the inclusion of very insulin sensitive (lean) and very insulin resistant cases (diabetic subjects).

DISCUSSION

In conclusion, a superior fasting-based index estimate to distinguish between the presence and absence of insulin resistance in overweight and obesity could not be identified despite the use of the large datasets.

Insulin sensitivity: gender-related differences in subjects with normal glucose tolerance

BACKGROUND AND AIMS

To verify whether age and the perimenopausal state may herald the onset of the metabolic syndrome (MS) in females as compared to age-matched males, we studied subjects with normal glucose tolerance, according to ADA definition.

METHODS AND RESULTS

In 368 eligible subjects subdivided into three age groups we measured insulin sensitivity by ISI-glycaemia, resistance by HOMA-IR, computed, during OGTT, from fasting and 2-h post-load plasma insulin and glucose concentrations. The significance of differences was tested between different age groups and between males and females within corresponding age groups. Insulin sensitivity fell slightly and insulin resistance rose significantly in the perimenopausal group as compared to younger and older female patients, and compared to men of the same age. This pattern remains after excluding patients with high blood pressure, and after adjusting for WHR and BMI by multivariate analysis. HOMA-IR averaged 2.9+/-1.8 in females, 2.2+/-1.2 in men aged 45-54 years (p<0.02), while in the other age groups insulin resistance was higher in men.

CONCLUSION

The onset of MS during the menopause is associated with a physiological shift in insulin resistance occurring even in normal glucose tolerant subjects, suggesting that it may depend upon critical metabolic changes occurring specifically in that age period.

Evaluation of insulin sensitivity and glucose effectiveness during a standardized breakfast test: comparison with the minimal model analysis of an intravenous glucose tolerance test

There is a need for reliable measurements of insulin sensitivity (SI) simpler than the euglycemic hyperinsulinemic clamp or the intravenous glucose tolerance test (IVGTT), which could be used when the simpler surrogates based on fasting insulin (Ib) and glucose (Gb) lose their validity. Several evaluations of SI derived from oral glucose tolerance test (OGTT) or its physiologic form, the standardized breakfast test (SBT), have been proposed. We aimed at determining which SBT-derived measurements of SI give the best prediction of the values obtained with the minimal model analysis of an IVGTT. Twenty-eight subjects (23 females and 5 males; age, 44.3+/-0.6 years) with a wide range of glucose tolerance randomly underwent a hyperglucidic SBT and an IVGTT with minimal model analysis. Correlations of 35 indices (converted if appropriated into similar units) with IVGTT-derived SI were calculated, and the accuracy of the empiric formulas obtained with the 11 best predictions were evaluated with Bland-Altman plots. Subjects covered all the spectrum of SI between 0.19 and 21.3 min-1/(microU.mL-1)x10(-4). Eight procedures yielded satisfactory predictions of minimal model SI: (1) SI (from Matsuda's composite index)=-1.24+65/(IbGbImGm)-0.5; (2) SI=1.89+2690/(IbGbImGm); (3) SI (from Bennett's index)=-2.93+5.16/(log Ibxlog Gb); (4) SI (from Sluiter's index)=0.2+2400/(IpGp); (5) SI=-8.54+38.4/(Belfiore's ISI index); (6) SI (from Cederholm's formula)=76/(Gm log Im); (7) SI=0.248+0.947/GbIm; (8) SI (from Mari's "oral glucose insulin sensitivity" index)=oral glucose insulin sensitivity/Ip; (9) Caumo's model. Glucose effectiveness Sg can also be accurately predicted by the following formula: Sg=2.921e-0.185(G60- Gb) (Ip=insulin peak; Gp=glucose peak; Ia=insulin area; Ga=glucose area; G60=glycemia at 60 minutes). The hyperglucidic SBT can provide accurate evaluations of SI and Sg, either by elaborated models or by simple empiric formulas.

Correlations between measures of insulin sensitivity and weight loss

OBJECTIVE

Many formulas have been proposed to calculate insulin sensitivity and studies have shown their effectiveness. However, few studies have been done to compare formulas.

METHODS

Seventy-two obese participants completed a randomized weight loss study. Weight loss, change in body fat and change in waist circumference were used as surrogates for change in insulin sensitivity. Correlation coefficients were calculated for each of these surrogates with proposed formulas for insulin sensitivity found in the literature.

RESULTS

The change in insulin sensitivity using the formula proposed by McAuley (exp(2.63-0.28 x ln(fasting insulin)-0.31 x ln(fasting triglyceride in mmol/l)) showed the greatest correlation with weight loss (r=-0.59, p<0.0001) and was statistically superior to change in fasting glucose, fasting insulin and homeostasis model assessment (HOMA).

CONCLUSIONS

The insulin sensitivity formula proposed by McAuley provides an accurate means of detecting insulin resistance. As it does not require a glucose tolerance test, it is also easier and less expensive than most other formulas. Use of this formula rather than fasting glucose would detect many more patients with insulin resistance who are at risk for subsequent diabetes and other complications.

The metabolic syndrome: a glance at its history

Although the modern era of what we now call the 'metabolic syndrome' or the 'insulin resistance syndrome' seems to have started less than two decades ago with the description of syndrome X by G.M. Reaven in the late 1980s, the history of this syndrome is much longer. In particular, a considerable number of scientists, starting as early as almost 90 years ago, have described the very common coexistence of the various components of the syndrome, including hypertension, and some of them gave several names to this clustering. On the other hand, during the past few years several international organizations have tried to form a reference context of what is included under the terms 'metabolic syndrome' and 'insulin resistance syndrome', proposing various 'definitions' for them. This review summarizes the history of the syndrome, from the early descriptions and other valuable contributions to the recent attempts to define it, as a small piece in honour of the pioneer workers in this field during the twentieth century.

Comparison of insulin sensitivity assessment indices with euglycemic-hyperinsulinemic clamp data after a dietary and exercise intervention in older adults

Multiple indices to assess insulin sensitivity calculated from mathematical equations based on fasting blood parameters or oral glucose tolerance data have been developed. Although these indices have frequently been validated using euglycemic-hyperinsulinemic clamp data, the utility of each equation in measuring change in insulin sensitivity over time remains uncertain. We examined change in insulin sensitivity in response to a 12-week diet and exercise intervention in 31 older men and women with impaired glucose tolerance using a euglycemic-hyperinsulinemic clamp and 10 commonly used insulin sensitivity equations. Mean glucose disposal as calculated from clamp data was significantly higher after the intervention compared with baseline (5.92 +/- 0.38 vs 5.18 +/- 0.30 mg . kg fat free mass(-1) . min(-1), P = .013). In contrast, none of the examined indices indicated a significant change in insulin sensitivity over time (all P > .3). A limits of agreement approach to compare insulin sensitivity calculated from each equation with the measure of glucose disposal from the clamp indicated overall imperfect agreement between measures (agreement limits ranged from +/-2.48 to +/-4.23 mg . kg fat free mass(-1) . min(-1)) despite significant bivariate correlations between indices and clamp data. The wide variability in the 95% prediction limits of agreement among equations suggests that these equations vary substantially from a euglycemic-hyperinsulinemic clamp in their ability to assess insulin sensitivity. Despite the observed limited agreement using this statistical approach, changes in several calculated indices were significantly correlated with changes in clamp data, suggesting that these indices may have some utility in tracking improvements in insulin sensitivity. Further research is necessary to examine agreement between indices and clamp data in larger, more heterogeneous populations and in response to other interventions where the magnitude of change in insulin sensitivity may be larger.

Comparison between HOMA-IR and ISI-gly in detecting subjects with the metabolic syndrome

BACKGROUND

To verify whether, as index of insulin resistance, ISI-gly (insulin sensitivity index) is more efficient than HOMA-IR (homeostatic model assessment) or QUICKI (quantitative insulin sensitivity check index) in detecting patients with the metabolic syndrome.

METHODS

Excluding patients with known diabetes, endocrine, liver and kidney diseases, we enrolled 553 subjects who were screened for metabolic abnormalities. After 5 days of a balanced weight maintenance diet, we performed an OGTT (oral glucose tolerance test) and measured fasting and 2-h postload blood sugar and insulin, from which we calculated ISI-gly, HOMA-IR and QUICKI, stratifying patients in tertiles. Statistical comparisons were performed for a number of metabolic variables between tertiles of the same index, as well as between tertiles of different indexes presumably expressing identical insulin resistance.

RESULTS

All variables reflecting the metabolic syndrome were significantly more altered in the top as compared to the intermediate and the lowest tertile for HOMA-IR, the opposite for ISI-gly. Comparing homologous measurements of the top tertile of HOMA-IR with the lowest tertile of ISI-gly (presumably expressing identical insulin resistance), fasting glucose and insulin were significantly higher, while 2-h OGTT values were significantly lower. The opposite occurred comparing the lowest HOMA-IR to the highest ISI-gly tertile, the diagnostic predictive values of the latter in detecting metabolic derangements being also higher. Data from QUICKI 1st to 3rd tertiles exactly matched those obtained from HOMA-IR 3rd to 1st tertile.

CONCLUSIONS

ISI-gly, which includes postload glucose and insulin concentrations, provides a more accurate estimate of whole-body insulin sensitivity than HOMA-IR or QUICKI, derived from fasting measurements only, thus constituting a more sensitive tool for screening and preventing metabolic abnormalities.

Non-esterified fatty acid concentrations are independently associated with hepatic steatosis in obese subjects

AIMS/HYPOTHESIS

We tested the hypothesis that NEFA concentrations are higher in obese subjects with fatty liver than in obese subjects without fatty liver.

MATERIALS AND METHODS

We recruited 22 obese (BMI>30 kg/m(2)) men aged 42-64 years, in whom liver fat was assessed by ultrasound and classified into categories of no, mild to moderate and severe fatty liver by two independent radiologists. Regional and visceral abdominal fat were assessed by dual-energy X-ray absorptiometry and magnetic resonance imaging, and endogenous glucose production, whole-body glucose disposal during an insulin clamp, and NEFA concentrations were measured, along with NEFA suppression (percent (%) suppression and insulin sensitivity index for NEFA during an OGTT).

RESULTS

Seven subjects had no evidence of fatty liver, nine had mild or moderate fatty liver and six had severe fatty liver. The amount of visceral fat was not associated with the degree of fatty liver. Whole-body glucose disposal was inversely associated with fatty liver (38.4, 26.5 and 23.9 mumol kg(-1) min(-1) for the groups with no fatty liver, mild to moderate fatty liver and severe fatty liver, respectively, p=0.004). NEFA suppression during the OGTT was decreased (62.5, 50.8 and 41%, p=0.03, for no, mild to moderate, and severe fatty liver, respectively) and the insulin sensitivity index for NEFA was decreased (0.80, 0.40 and 0.34, p<0.0001). Regression modelling suggested that NEFA concentrations were associated with fatty liver independently of whole-body glucose production and disposal measurements.

CONCLUSIONS/INTERPRETATION

In obese men, NEFA concentrations during an OGTT are associated with fatty liver independently of classic measures of insulin sensitivity determined by the hyperinsulinaemic clamp. The contribution to this association by factors regulating NEFA concentrations requires further study.

The classification of diabetes mellitus: a conceptual framework

Diabetes is the extreme manifestation of a spectrum conditions in which the balance of insulin secretion and insulin action (or insulin resistance) has been altered. Loss of euglycemia is caused by relative insulin deficiency in the presence of insulin resistance, or by absolute insulin deficiency. There are related conditions in which an alteration of insulin resistance or beta-cell dysfunction exists, but because of compensation glucose homeostasis has not been lost. The elucidation of the causes of insulin resistance and -cell failure and the attention to the different degrees of insulin deficiency and insulin resistance allow for better diagnosis, treatment, and prevention of diabetes and its related conditions.

Does Carvedilol Impair Insulin Sensitivity in Heart Failure Patients Without Diabetes?

BACKGROUND

An increased risk for impaired glucose tolerance or diabetes was shown in patients on beta-blockers, whereas alpha1 blockers seem to have favorable effects on glycemic profile. In this study, the metabolic effect of carvedilol in nondiabetic patients with chronic heart failure (CHF) was evaluated.

METHODS AND RESULTS

Twenty-eight nondiabetic CHF patients were enrolled. Before being started on carvedilol and on the highest tolerated dose, each patient underwent an oral glucose tolerance test and fasting insulin, glycohemoglobin, lipid concentrations were measured and insulin sensitivity indices (HOMA, ISI-gly, and ISI-composite) were calculated. An impaired glucose tolerance was found (2-hour glycemia 144 +/- 42 mg/dL), with a fasting glycemia at upper limits of normal (108 +/- 13 mg/dL) and no significant differences between basal and carvedilol treatment measurements. Fasting insulinemia significantly decreased during carvedilol treatment (13.6 +/- 7.3 versus 9.8 +/- 5.1 muU/mL; P = .022), with a reduction of the HOMA index (3.75 +/- 1.95 versus 2.73 +/- 1.47; P = 034) and an increase of the ISI-gly index (0.85 +/- 0.22 versus 1.03 +/- 0.31; P = .025). The lipoprotein profile did not significantly change.

CONCLUSION

Carvedilol might have some positive metabolic effects on increasing insulin sensitivity that would make it suitable for diabetic patients that have a worse prognosis than non diabetic patients with CHF.

Reactive hypoglycemia in lean young women with PCOS and correlations with insulin sensitivity and with beta cell function

Reactive hypoglycemia (RH), which is a postprandial hypoglycemic state, occurs within 2-5 h after food intake. It is classified as idiopathic, alimentary, or diabetic reactive hypoglycemia. We studied the incidence of reactive hypoglycemia and looked for any correlations between it and the presence of insulin sensitivity and/or beta cell function in young lean polycystic ovary syndrome (PCOS) patients. This study was designed as a cross-sectional study in 64 lean young women with PCOS (BMI < or = 25 kg/m2). Various indices of insulin sensitivity and beta cell function derived from the oral glucose tolerance test (OGTT) results were used. We found the rate of RH to be 50% in lean young women with PCOS. DHEA-S and PRL levels were found to be lower in subjects with RH (P < 0.05 and P > 0.05, respectively). Beta cell function indices such as the insulinogenic index (at 120 min), CIR (at 120 min) and HOMA beta cell index were found to be insignificantly higher in the RH group than the nonreactive hypoglycemia (NRH) group. The 4 h glucose level, but not the 3 h glucose level, was significantly correlated with insulin resistance indices, such as fasting insulin level, HOMA-IR, Quicky index, and FIRI in the RH group. Significantly decreased DHEA-S levels were an interesting finding. In conclusion, there is an urgent need to investigate RH in lean young women with PCOS. Our results indicate that more definite insulin resistance occurs in subjects with RH in the fourth hour of the OGTT than those with RH in the third hour. In addition, RH in the fourth hour together with a low DHEA-S level may be predictive of future diabetes in young women with PCOS even when they are not obese.

Adiponectin and resistin serum levels in women with polycystic ovary syndrome during oral glucose tolerance test: a significant reciprocal correlation between adiponectin and resistin independent of insulin resistance indices

Polycystic ovary syndrome (PCOS) is associated with an increased incidence of insulin resistance (IR), obesity, and type 2 diabetes. Resistin, an adipocytokine, may represent a link between obesity, and these metabolic disorders. There is also evidence that inflammation is a hyperresistinemic state in humans, and cytokine induction of resistin may contribute to insulin resistance in endotoxemia, obesity, and other inflammatory states. In contrast, adiponectin, increases insulin sensitivity, improves glucose tolerance, inhibits inflammatory pathways, while adenovirus-expressed adiponectin reduces atherosclerotic lesions in a mouse model of atherosclerosis. We aimed to assess, in women with PCOS, whether there is a relationship between adiponectin and resistin and the indices of IR, and whether serum levels of these adipocytokines are altered by glucose-induced hyperinsulinaemia. Serum levels of resistin and adiponectin were measured at 0, 60, and 120 min during 75 g oral glucose tolerance test (OGTT), in 19 women with PCOS, age 36.3+/-11.4 years (mean+/-SD), body mass index (BMI) 29.3+/-7.7 kg/m2, and correlated with the indices of IR, such as HOMA-IR, QUICKI, and the insulin resistance index calculated from glucose and insulin levels obtained during OGTT. There was no change in resistin concentrations (7.31+/-4.58, 7.47+/-5.40, 7.22+/-5.12 pg/ml, at 0, 60, and 120 min of OGTT, respectively, P = 0.77), but there was an increase in adiponectin from 11.32+/-4.64 microg/ml at baseline to 14.78+/-7.41 microg/ml, at 120 min of OGTT (P < 0.01). The magnitude of the overall rise in adiponectin was greater from 60 to 120 min (from 12.31+/-5.72 to 14.78+/-7.41 microg/ml, P < 0.006). Neither resistin, nor adiponectin correlated with the indices of IR, lipids, or other hormonal parameters of the PCOS. There was, however, a significant negative correlation between serum resistin and adiponectin (P = 0.001). In conclusion, we observed a strong negative correlation between serum adiponectin and resistin, despite the lack of direct correlation with the indices of IR. Given the opposite effects of resistin and adiponectin on the inflammatory process, we speculate that relative proportion of adiponectin-to-resistin might potentially influence cardiometabolic risk in women with the PCOS independently of IR parameters. The observed increase in adiponectin during OGTT requires further study.

Assessment of insulin sensitivity from measurements in the fasting state and during an oral glucose tolerance test in polycystic ovary syndrome and menopausal patients

BACKGROUND

Polycystic ovary syndrome (PCOS) and menopausal subjects are characterized by an increased cardiovascular and type 2 diabetes mellitus risk, at least partially related to insulin disturbances. The evaluation of insulin resistance in these patients could be useful as primary prevention. The aim of the study was to verify the validity of several indexes of insulin sensitivity in PCOS and menopausal subjects by comparing the data obtained by these indexes to those of euglycemic-hyperinsulinemic clamp studies.

METHODS

One hundred PCOS and 110 menopausal subjects were analyzed; all subjects underwent an oral glucose tolerance test (75 g) and euglycemic-hyperinsulinemic clamp study. Seven PCOS patients and 13 menopausal subjects had impaired glucose tolerance or type 2 diabetes mellitus and were excluded from the study. After analysis of correlation coefficients between the evaluated indexes and the clamp studies, the sensitivity and specificity of different cut-off values for each parameter were analyzed by receiver operating characteristic (ROC) curves.

RESULTS

The best correlation coefficients with clamp studies were obtained with the Avignon insulin sensitivity index (SiM) (R(s) = 0.7812) in PCOS patients and the Matsuda and De Fronzo index (R(s) = 0.6178) in menopausal patients. The best predictive index of insulin resistance in PCOS was a Avignon insulin sensitivity basal index (SibB) value of 62 or less (78% sensitivity, 95% specificity) and an insulin area under the curve (AUC) of 7,000 microIU/ml or more (>/=50,225 pmol/liter) x 120 min (83% sensitivity, 90% specificity). In the menopausal population, the best predictive performance was obtained by an insulin AUC of 10,000 microIU/ml or more (>/=71,750 pmol/liter) x 240 min (70% sensitivity, 88% specificity).

CONCLUSIONS

The presence of high correlation coefficients does not necessarily mean that the indexes of insulin resistance have an optimal predictive performance; this is probably due to the presence of many borderline values. The simple evaluation of insulin AUC seems to effectively replace the euglycemic-hyperinsulinemic clamp in routine clinical practice, allowing results superimposable to those obtained by minimal model analysis.