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Quantitative Insulin Sensitivity Check Index (quantitative + insulin_sensitivity_check_index)
Selected AbstractsOestradiol replacement treatment and glucose homeostasis in two men with congenital aromatase deficiency: evidence for a role of oestradiol and sex steroids imbalance on insulin sensitivity in menDIABETIC MEDICINE, Issue 12 2007V. Rochira Abstract Aims The role of sex steroids in glucose and insulin metabolism in men remains unclear. To investigate the effects of sex steroids and oestrogen on insulin sensitivity in men, we studied two male adults with aromatase deficiency (subject 1 and subject 2). Methods The effects of transdermal oestradiol (tE2) treatment at different dosages on insulin sensitivity were studied before tE2 treatment (phase 1), and after 6 months (phase 2) and 12 months of tE2 treatment (phase 3) by means of homeostasis model assessment,insulin resistance (HOMA-IR) and Quantitative Insulin Sensitivity Check Index (QUICKI), insulin tolerance test (ITT), and oral glucose tolerance test (OGTT). The latter was performed only in subject 1, as subject 2 suffered from Type 2 diabetes. Results The restoration of normal serum oestradiol led to improved insulin sensitivity, as shown by changes in HOMA-IR and QUICKI. The ITT provided evidence of improved insulin sensitivity during tE2 treatment. Insulin secretion after OGTT was reduced during tE2 treatment in subject 1. After 12 months of tE2 treatment, insulin sensitivity was improved compared with in phases 1 and 2. Conclusions The study suggests a direct involvement of oestrogens in insulin sensitivity, and supports a possible role of oestradiol : testosterone ratio, which may be as influencial as the separate actions of each sex steroid on glucose homeostasis. [source] Decreased hepatic RBP4 secretion is correlated with reduced hepatic glucose production but is not associated with insulin resistance in patients with liver cirrhosisCLINICAL ENDOCRINOLOGY, Issue 1 2009Matthias J. Bahr Summary Objective, Patients with liver cirrhosis have a high incidence of insulin resistance and diabetes. This study was designed to determine circulating levels and hepatic production of retinol-binding protein 4 (RBP4) in relation to parameters of hepatic and systemic metabolism in patients with liver cirrhosis. Design and method, Circulating RBP4 levels were measured in 19 patients with liver cirrhosis at different clinical stages of the disease and in 20 age-, sex- and body mass index (BMI)-matched controls. Hepatic production rates of RBP4 and glucose were assessed by measuring the arterial hepatic venous concentration difference together with hepatic blood flow. Insulin resistance was determined by the Quantitative Insulin Sensitivity Check Index (QUICKI) and the homeostasis model assessment of insulin resistance (HOMA-IR), energy expenditure by indirect calorimetry and body composition by bioelectrical impedance analysis (BIA). Results, Compared with controls, RBP4 levels in cirrhosis were decreased (8·1 ± 1·8 vs. 22·6 ± 2·4 mg/l, P < 0·001) due to decreased hepatic production (P < 0·05). RBP4 correlated with hepatic protein synthesis capacity (P < 0·01), but not with insulin resistance, energy expenditure, BMI or body fat mass. Plasma RBP4 correlated with hepatic glucose production (P < 0·05). Conclusions, These data demonstrate that RBP4 in cirrhosis (i) is decreased due to reduced hepatic production, (ii) is not associated with insulin resistance, and (iii) might have a beneficial role by decreasing hepatic glucose production and could thus also be regarded as a hepatokine. [source] Insulin resistance is not coupled with defective insulin secretion in primary hyperparathyroidismDIABETIC MEDICINE, Issue 10 2009F. Tassone Abstract Aims, An increased frequency of both impaired glucose tolerance and Type 2 diabetes mellitus (DM) has been reported in primary hyperparathyroidism (pHPT), thus we sought to investigate insulin sensitivity and insulin secretion in a large series of pHPT patients. Subjects and methods, One hundred and twenty-two consecutive pHPT patients without known DM were investigated [age (mean ± sd) 59.3 ± 13.6 years, body mass index (BMI) 25.7 ± 4.2 kg/m2; serum calcium 2.8 ± 0.25 mmol/l; PTH 203.2 ± 145.4 ng/l]. Sixty-one control subjects were matched, according to the degree of glucose tolerance, in a 2 : 1 patient:control ratio. Fasting- and oral glucose tolerance test-derived estimates of insulin sensitivity and secretion were determined by means of the quantitative insulin sensitivity check index (QUICKI) and the insulin sensitivity index (ISI) composite. Results, Both the QUICKI and ISI composite were lower in pHPT patients than control subjects (P < 0.03 and P < 0.05, respectively) after adjusting for age, systolic blood pressure and BMI. Conversely, all insulin secretion estimates were significantly increased in pHPT patients than in control subjects (P < 0.04 and P < 0.03, respectively) and after adjusting for age, systolic blood pressure and BMI. Log serum calcium levels were negatively associated with the QUICKI and log ISI composite (R = ,0.30, P = 0.001; R = ,0.23, P = 0.020, respectively) in pHPT patients. Serum calcium levels significantly and independently contributed to impaired insulin sensitivity in multivariate analysis (QUICKI as dependent variable: , = ,0.31, P = 0.004, R2 = 0.15; log ISI composite as dependent variable: , = ,0.29, P = 0.005, R2 = 0.16). Conclusions, Our study confirms a reduction in both basal and stimulated insulin sensitivity in primary hyperparathyroidism, in spite of increased insulin secretion. Moreover, our data show for the first time a significant relationship between hypercalcaemia and insulin sensitivity in this condition. [source] Comparison of surrogate and direct measurement of insulin resistance in chronic hepatitis C virus infection: Impact of obesity and ethnicity,HEPATOLOGY, Issue 1 2010Khoa D. Lam 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 , 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 ,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. HEPATOLOGY 2010 [source] Beta-cell function and insulin sensitivity contribute to the shape of plasma glucose curve during an oral glucose tolerance test in non-diabetic individualsINTERNATIONAL JOURNAL OF CLINICAL PRACTICE, Issue 4 2005M. Kanauchi Summary To clarify whether beta-cell function and/or insulin resistance contributes to the shape of plasma glucose curve during an oral glucose tolerance test (OGTT), we investigated 583 Japanese subjects with normal glucose tolerance (NGT, n = 306) or impaired glucose tolerance (IGT, n = 277). Each subject was subdivided into three shapes of plasma glucose curve as follows: monophasic pattern (M type), biphasic pattern (B type) and two peaks (T type). Homeostasis model assessment of insulin resistance, quantitative insulin sensitivity check index and insulinogenic index were assessed by plasma glucose and insulin concentrations obtained at fasting or during an OGTT. There was a greater proportion of M type in the IGT group (M = 80.9%, B = 15.5% and T = 3.6%), whereas the prevalence of B and T types was much higher in the NGT group (M = 66.6%, B = 26.5% and T = 6.9%). There were significant differences in the proportions of shape types between the NGT and IGT groups (p = 0.0006). Among the NGT category, insulin sensitivity was significantly higher in the B type than in the M type, and beta-cell function adjusted for insulin resistance was significantly higher in the B and T types than in the M type. Among the IGT category, no significant differences were seen among the three shape types with respect to insulin sensitivity, but the beta-cell function adjusted for insulin resistance was significantly lower in the M type than in the B and T types. In conclusion, both impaired insulin secretion and insulin resistance may contribute to the underlying mechanisms of the shape of plasma glucose curve in Japanese subjects. [source] Hydroxypropylated Tapioca Starch Retards the Development of Insulin Resistance in KKAy Mice, a Type 2 Diabetes Model, Fed a High-Fat DietJOURNAL OF FOOD SCIENCE, Issue 7 2009Makoto Tachibe ABSTRACT:, The hypoglycemic and antidiabetic effect of hydroxypropyl tapioca starch (HPTS, degree of substitution = 0.180) was investigated in male KKAy mice. Mice were fed a purified high-fat (20%) diet without or with HPTS (5% or 10%) for 33 d. Gelatinized tapioca starch (TS) was used as a reference. Fasting blood glucose concentrations, days 14 and 28, were significantly lower in the 10% HPTS group compared with the reference. In an oral glucose tolerance test (OGTT), day 28, blood glucose concentrations in the 5% HPTS group, at 60, 90, and 120 min, and in the 10% HPTS group, at 30, 60, and 90 min after oral administration of glucose, were significantly lower compared with the reference. The area under the glucose curve (AUC) for glucose in both HPTS groups was significantly lower compared with the reference. Energy intake was significantly lower in the 10% HPTS group compared with the reference. At the end of the experiment, adiponectin concentrations were significantly higher in the 10% HPTS group compared with the reference. A homeostasis model assessment of insulin resistance (HOMA-IR) tended to be lower in the 10% HPTS group compared with the reference, whereas a quantitative insulin sensitivity check index (QUICKI) was significantly higher in both HPTS groups compared with the reference. These results show that HPTS retards the development of insulin resistance in KKAy mice fed a high-fat diet. [source] High-Hydroxypropylated Tapioca Starch Improves Insulin Resistance in Genetically Diabetic KKAy MiceJOURNAL OF FOOD SCIENCE, Issue 3 2009R. Kato ABSTRACT:, The hypoglycemic and antidiabetic effect of hydroxypropyl tapioca starch (HPTS) with a varying degree of substitution (DS: 0.058, 0.091, and 0.180) was investigated in rats and KKAy mice, an animal model of type 2 diabetes. The positive incremental area under the curve (IAUC) for glucose significantly decreased as the DS of HPTS increased. The IAUC after intragastric intubation of the highest HPTS (HPTS-III, DS = 0.180) was 55% of the IAUC of tapioca starch (TS). After 28 d, fasting blood glucose and insulin concentrations were significantly lower in rats fed HPTS-III (50 g/kg diet) than in those fed TS (P < 0.05). In KKAy mice fed HPTS-III (50 or 100 g/kg diet) for 33 d, as compared with TS, there was a delay in the detection of glucose in urine and also a decreased incidence of finding glucose in urine on days 7, 21, and 28; in addition, the AUCs for glucose in the oral glucose tolerance test on days 14 and 28 were significantly lower (P < 0.05 and P < 0.05, respectively). The plasma adiponectin concentration and the quantitative insulin sensitivity check index (QUICKI) were significantly higher in mice fed HPTS-III than in those fed TS (P < 0.01), whereas the homeostasis model assessment of insulin resistance (HOMA-IR) was lower (P < 0.01). Energy intake was significantly lower in mice fed HPTS-III than in those fed TS. These findings show that HPTS with a high DS resists digestion by ,-amylase and improves insulin resistance in KKAy mice by decreasing energy intake. However, the potential mechanism by which HPTS-III decreases energy intake is unclear at present. [source] Impaired Glucose Tolerance in the R6/1 Transgenic Mouse Model of Huntington's DiseaseJOURNAL OF NEUROENDOCRINOLOGY, Issue 2 2008K. Josefsen Previous reports have highlighted a possible link between Huntington's disease (HD) and diabetes mellitus (DM), but the association has not been characterised in detail. A transgenic mouse model for HD, the R6/2 mouse, also develops diabetes. In the present study, we examined the R6/1 mouse, which carries a shorter CAG repeat than the R6/2 mouse, and found that, although not diabetic, the mice showed several signs of impaired glucose tolerance. First, following i.p. glucose injection, the blood glucose concentration was approximately 30% higher in young R6/1 mice (10 weeks) compared to wild-type mice (P = 0.004). In older mice (38 weeks), glucose tolerance was further impaired in both R6/1 and wild-type animals. Second, during glucose challenge, the R6/1 mice reached higher plasma insulin levels than wild-type mice, but the peripheral insulin sensitivity was normal as measured by injection of human or mouse insulin or when evaluated by the quantitative insulin sensitivity check index (QUICKI). Third, the beta cell volume was 17% and 39% smaller at 10 and 38 weeks of age, respectively, compared to age-matched wild-type littermates and the reduction was not caused by apoptosis at either age. Finally, we demonstrated the presence of the HD gene product, huntingtin (htt), in both alpha- and beta-cells in R6/1 islets of Langerhans. Since pancreatic beta cells and neurons share several common traits, clarification of the mechanism associating neurodegenerative diseases with diabetes might improve our understanding of the pathogenic events leading to both groups of diseases. [source] Clinical model for distinguishing nonalcoholic steatohepatitis from simple steatosis in patients with nonalcoholic fatty liver diseaseLIVER INTERNATIONAL, Issue 2 2006Nicole A. Palekar Abstract: Nonalcoholic fatty liver disease (NAFLD) encompasses both simple steatosis and nonalcoholic steatohepatitis (NASH). Differentiation of these two entities requires histopathologic evaluation. The aim of this study was to establish a reliable diagnostic model for differentiating steatosis from steatohepatitis utilizing both clinical characteristics and a panel of biochemical markers of lipid peroxidation and fibrosis. Eighty subjects with biopsy proven NAFLD were enrolled, 39 with simple steatosis and 41 with histopathologic evidence of NASH. Demographic and laboratory data to include serologic testing for 8-epi-PGF2,, transforming growth factor-, (TGF-,), adiponectin, and hyaluronic acid (HA) were obtained and compared between the two groups. There were significant differences between the two groups with respect to age (P=0.004), female gender (P=0.024), aspartate aminotransferase (AST) (P=0.028), body mass index (BMI) (P=0.003), fasting insulin (0.018), AST/alanine aminotransferase (ALT) ratio (AAR) (P=0.017), quantitative insulin sensitivity check index (QUICKI) (P=0.002), and HA (P=0.029). A composite index for distinguishing steatosis from NASH was calculated by summing the risk factors of age ,50 years, female gender, AST,45 IU/l, BMI ,30 mg/kg2, AAR,0.80, and HA,55 mcg/l, and its accuracy was determined by receiver operating characteristic (ROC) analysis to be 0.763 (95% CI: 0.650,0.876). The presence of three or more risk factors had a sensitivity, specificity, PPV, and NPV of 73.7%, 65.7%, 68.2%, and 71.4%, respectively. In addition, HA at a cutoff of 45.3 mcg/l was a good predictor of advanced fibrosis. In conclusion, we propose a noninvasive screening model for distinguishing simple steatosis from NASH. Identifying patients at risk for NASH will allow clinicians to more accurately determine who may benefit from liver biopsy. [source] Evaluation of Insulin Sensitivity in Clinical Practice and in Research SettingsNUTRITION REVIEWS, Issue 12 2003Lais U. Monzillo MD Insulin resistance is the core metabolic abnormality in type 2 diabetes. Its high prevalence and its association with dyslipidemia, hypertension, hyperinsulinemia, and high coronary and cerebrovascular mortality put it in the forefront as the plausible target for aggressive intervention. Measurements of insulin sensitivity provide clinicians and clinical researchers with invaluable instruments to objectively evaluate the efficiency of both current and potentially useful interventional tools. Although several methods had been developed and validated to evaluate insulin sensitivity, none of these methods can be universally used in all patients. Nonetheless, a method suitable for use in clinical or basic research may not necessarily be a practical method for use in clinical practice or for epidemiologic research. We reviewed the currently used methods for assessment of insulin sensitivity. For each method, we summarized its procedure, normal value, cut-off value for defining insulin resistance, advantages and limitations, validity, accuracy for each patient population, and suitability for use in clinical practice and in research settings. The methods reviewed include fasting plasma insulin, homeostatic model assessment, quantitative insulin sensitivity check index, glucose-to-insulin ratio, continuous infusion of glucose with model assessment, indices based on oral glucose tolerance test, insulin tolerance test, and the so called "gold standard" methods, the hyperinsulinemic euglycemic clamp and the frequently sampled-intravenous glucose tolerance test. [source] Insulin sensitivity in growth hormone-deficient children: influence of replacement treatmentCLINICAL ENDOCRINOLOGY, Issue 4 2004Giorgio Radetti Summary objective, In adults, excessive GH secretion may lead to secondary diabetes mellitus, while prolonged GH treatment may accelerate the onset of type 2 diabetes mellitus in predisposed children. The aim of the study was to evaluate insulin sensitivity (IS) and glucose tolerance (GT) in a group of GH-deficient children treated with GH for a period of 6 years. patients and design, One hundred and twenty-eight children (40 females, 88 males) were included in the study. At the beginning of treatment chronological age was 8·9 ± 3·2 years, height standard deviation score (SDS) ,2·43 ± 0·90 and body mass index (BMI) SDS 0·18 ± 1·60. At the end of the study chronological age was 13·0 ± 2·9 years, height SDS ,1·24 ± 1·27 and BMI SDS 0·23 ± 1·54. GH was administered at a mean weekly dosage of 0·3 mg/kg, injected subcutaneously over 6,7 days. GT was assessed according to the criteria of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus. IS was evaluated with the quantitative insulin sensitivity check index (QUICKI). results, No cases of impaired GT or diabetes were recorded during the follow-up period. IS, already lower than in controls before starting treatment with GH, decreased significantly during the first year of therapy (QUICKI: 0·346 ± 0·033 vs. 0·355 ± 0·044, P < 0·05), with no further decrease in the following years. No correlation was found between QUICKI, BMI, years of treatment and onset of puberty. conclusions, GH treatment in GH-deficient children does not lead to an impaired GT or type 2 diabetes mellitus, although it does significantly decrease IS. [source] | ||||||||||