Left ventricular mass is not related to insulin sensitivity in never-treated primary hypertension

OBJECTIVE: Insulin has been suggested to promote myocardial cell growth and the development of left ventricular (LV) hypertrophy. This study examines the possible relationship between LV mass and insulin sensitivity. DESIGN: Previously untreated non-diabetic hypertensive patients. PATIENTS: Fifty-one patients with mean age 51 +/- 8 years, body mass index (BMI) 25.9 +/- 3.2 kg/m2 and blood pressure 158/102 mmHg were included. LV mass was determined by echocardiography. Glucose metabolism was assessed by an euglycemic insulin clamp (40 mU/m2 body surface area/min). RESULTS: Insulin sensitivity index (MI) and insulin clearance were inversely related to LV mass (r = -0.37, P < 0.01 and -0.33, P < 0.05, respectively) and LV mass indexed to height (r = -0.33, P < 0.05 and -0.29, P < 0.05, respectively). C-peptide and fasting insulin were related to LV mass (r = 0.33, P < 0.05 and r = 0.36, P < 0.01, respectively) and LV mass indexed to height (r = 0.30, P < 0.05 and r = 0.34, P < 0.05, respectively). In contrast, when LV mass was indexed by body surface area there was no longer a relation to MI, insulin clearance, C-peptide or fasting insulin. When adjusting for BMI in a multiple regression analysis, MI and LV mass no longer showed a relation. Indeed, MI, insulin clearance, C-peptide and insulin were all strongly related to weight and BMI. CONCLUSION: Insulin sensitivity is related to body size in untreated hypertension. However, insulin sensitivity is not related to LV mass, if adjusting for body size. This does not support a direct growth-promoting effect of insulin on the myocardium. Insulin does not appear to be strongly involved in development of hypertensive LV hypertrophy.     

Association between the metabolic syndrome and serum cortisol in overweight Latino youth

OBJECTIVE: The purpose of this report is to investigate the associations between metabolic syndrome (MS) and levels of morning serum cortisol in a cohort of overweight Latino youth. DESIGN: Subjects were 205 overweight, Latino youth (age 8-13 yr, body mass index percentile > 85, family history positive for type 2 diabetes). Measures included body composition by dual-energy x-ray absorptiometry, intraabdominal adipose tissue (IAAT) by magnetic resonance imaging, insulin sensitivity by frequently sampled iv glucose tolerance test/minimal model, fasting lipids, and serum cortisol. RESULTS: Children with MS had higher body mass index percentile, total body fat mass, and IAAT and lower insulin sensitivity than those without MS. Children with MS had higher morning serum cortisol levels, whether unadjusted (10.1 +/- 3.7 vs. 9.0 +/- 2.8 microg/dl, P < 0.05) or after adjusting for age, gender, total body fat and lean tissue mass, and insulin sensitivity (10.4 +/- 0.4 vs. 8.9 +/- 0.3 microg/dl, P < 0.01). Increasing number of features of MS was associated with higher cortisol levels, after adjusting for covariates (P = 0.001). Among individual features of MS, systolic blood pressure had the strongest relationship with adjusted cortisol level (r = 0.34; P < 0.001), followed by diastolic blood pressure and fasting plasma glucose (both r = 0.23; P < 0.01). IAAT was associated with cortisol (r = 0.16; P < 0.05), whereas high-density lipoprotein, triglycerides, and waist circumference were not. CONCLUSIONS: In overweight, Latino youth, MS is associated with higher morning serum cortisol levels, independent of body fat and insulin sensitivity. More studies are needed to investigate the role of relative hypercortisolism and chronic stress in obesity-related metabolic disorders in children.     

Circulating fatty acids, non-high density lipoprotein cholesterol, and insulin-infused fat oxidation acutely influence whole body insulin sensitivity in nondiabetic men

Circulating lipids and tissue lipid depots predict insulin sensitivity. Associations between fat oxidation and insulin sensitivity are variable. We examined whether circulating lipids and fat oxidation independently influence insulin sensitivity. We also examined interrelationships among circulating lipids, fat oxidation, and tissue lipid depots. Fifty-nine nondiabetic males (age, 45.4 +/- 2 yr; body mass index, 29.1 +/- 0.5 kg/m(2)) had fasting circulating nonesterified fatty acids (NEFAs) and lipids measured, euglycemic-hyperinsulinemic clamp for whole body insulin sensitivity [glucose infusion rate (GIR)], substrate oxidation, body composition (determined by dual energy x-ray absorptiometry), and skeletal muscle triglyceride (SMT) measurements. GIR inversely correlated with fasting NEFAs (r = -0.47; P = 0.0002), insulin-infused NEFAs (n = 38; r = -0.62; P < 0.0001), low-density lipoprotein cholesterol (r = -0.50; P < 0.0001), non-high-density lipoprotein cholesterol (r = -0.52; P < 0.0001), basal fat oxidation (r = -0.32; P = 0.03), insulin-infused fat oxidation (r = -0.40; P = 0.02), SMT (r = -0.28; P < 0.05), and central fat (percentage; r = -0.59; P < 0.0001). NEFA levels correlated with central fat, but not with total body fat or SMT. Multiple regression analysis showed non-high-density lipoprotein cholesterol, fasting NEFAs, insulin-infused fat oxidation, and central fat to independently predict GIR, accounting for approximately 60% of the variance. Circulating fatty acids, although closely correlated with central fat, independently predict insulin sensitivity. Insulin-infused fat oxidation independently predicts insulin sensitivity across a wide range of adiposity. Therefore, lipolytic regulation as well as amount of central fat are important in modulating insulin sensitivity.     

Reduced insulin secretion in normoglycaemic patients with beta-thalassaemia major.

AIMS: To assess insulin sensitivity and secretion in the fasting state in regularly transfused patients with beta-thalassaemia major with normal glucose response during an oral glucose tolerance test and to estimate its possible relation to iron overload. METHODS: We measured fasting glucose, insulin and C-peptide levels in 24 patients with beta-thalassaemia major and 18 control subjects matched for age and body mass index. Insulin sensitivity and insulin release index were calculated according to the homeostasis model assessment (HOMA). Correlations with age, body mass index and serum ferritin were also calculated. RESULTS: Fasting glucose levels in patients were increased compared with control subjects (5.5 +/- 0.12 vs. 4.7 +/- 0.13 mmol/l, mean +/- SEM, P < 0.001). Pancreatic B-cell insulin secretion in the fasting state (estimated by SC(HOMA)) was lower in thalassaemic patients (SC(HOMA) 88.5 +/- 11.11 vs. 184.3 +/- 23.72 in control subjects, P < 0.001). Patients were then divided into those with impaired (IFG) and normal (NFG) fasting glucose. SC(HOMA) was higher in the patients with NFG compared with those with IFG patients (110.6 +/- 17.63 vs. 66.3 +/- 10.88, respectively, P < 0.05) but estimated insulin sensitivity (ISI(HOMA)) was similar. Plasma values of C-peptide correlated positively with ferritin (r = 0.42, P = 0.04) and SC(HOMA) (r = 0.45, P = 0.02) and negatively with ISI(HOMA) (r = -0.43, P = 0.03). CONCLUSIONS: These results support the concept that impaired B-cell function, as reflected by a reduction in the insulin secretion index, is present in beta-thalassaemic patients with normoglycaemia before changes in oral glucose tolerance tests are apparent.     

Elevated total and central adiposity and low physical activity are associated with insulin resistance in children

The aim of this study was 2-fold: (1) to examine insulin resistance, blood lipid levels, and inflammatory markers in 9- to 11.5-year-old obese and lean children and (2) to identify factors that influence insulin resistance in this cohort of youths. Body mass index, skinfold thickness, waist circumference, physical activity (4-day triaxial accelerometer), cardiorespiratory fitness (submaximal bicycle ergometer test), and dietary intake (3-day food records) were evaluated in 27 obese and 27 lean boys and girls. Fasting blood samples were analyzed for insulin, glucose, lipids and lipoproteins, C-reactive protein (CRP), interleukin 6, soluble intercellular adhesion molecule, and soluble vascular cell adhesion molecule. Homeostasis model assessment (HOMA) was used to evaluate insulin resistance (HOMA-IR). Obese children presented higher HOMA-IR, CRP, and blood lipid levels (all P < .01) compared with lean children. Total body fat and waist circumference were positively associated with fasting insulin (r > or = 0.51), HOMA-IR (r > or = 0.56), CRP (r > or = 0.51), and blood triacylglycerol (r > or = 0.38), and were inversely correlated with high-density lipoprotein cholesterol (r > or = -0.39; all P < .01). Cardiorespiratory fitness was inversely associated with HOMA-IR (r = -0.24; P < .05), but this association disappeared when adjusted for age, sex, and fat mass. Waist circumference and total daily physical activity explained 49% of the variance in HOMA-IR in these children. In conclusion, these findings suggest that total and central adiposity are positively associated and physical activity is negatively associated with insulin resistance in children. Interventions to improve glucose metabolism in youth should target at reducing total body and abdominal fat and increasing physical activity. The lack of association between inflammatory markers and HOMA-IR suggests that obesity may precede the elevation of these markers in the evolution of insulin resistance in youth.     

C-reactive protein is more strongly related to post-glucose load glucose than to fasting glucose in non-diabetic subjects; the Insulin Resistance Atherosclerosis Study.

AIMS: It has been suggested that cardiovascular disease may be more strongly related to post-challenge glycaemia than to fasting glucose concentrations. We hypothesized that subclinical inflammation, as indicated by elevated serum levels of C-reactive protein (CRP), may partially explain the association of cardiovascular disease with post-challenge glycaemia. METHODS: We studied the relationship of CRP (measured with a highly sensitive immunoassay) with fasting glucose and 2-h glucose concentrations during an oral glucose tolerance test in non-diabetic subjects from the Insulin Resistance Atherosclerosis Study. RESULTS: Spearman correlation analyses and multiple linear regression analyses showed a significant association of both fasting glucose and 2-h glucose concentrations with CRP levels, after adjusting for demographic covariates (age, sex, ethnicity, clinical centre; Spearman correlation coefficients: r = 0.18 for fasting glucose, r = 0.27 for 2-h glucose, both P < 0.0001). However, after additional adjustment for body mass index and waist-hip ratio only 2-h glucose (and not fasting glucose) was significantly related to CRP (r = 0.03 for fasting glucose, P = NS; r = 0.14 for 2-h glucose, P < 0.0001). Adding insulin sensitivity to the multivariate models further weakened the relationship of CRP to 2-h glucose (r = 0.07, P < 0.05). CRP mean values increased by 2-h glucose category (normal vs. impaired glucose tolerance vs. isolated post-challenge hyperglycaemia). CONCLUSIONS: Chronic, subclinical inflammation, as indicated by elevated circulating CRP levels, is more strongly associated with post-challenge glycaemia than with fasting glucose levels in non-diabetic subjects. This association is partially independent of body fat and insulin resistance.     

Insulin sensitivity is correlated with subcutaneous but not visceral body fat in overweight and obese prepubertal children

AIM: Our aim was to explore the relationship between insulin sensitivity, body fat distribution, ectopic (liver and skeletal muscle) fat deposition, adipokines (leptin and adiponectin), and inflammation markers (highly sensitive C-reactive protein, IL-6, IL-10, and TNF-alpha) in prepubertal children. SUBJECTS AND METHODS: Thirty overweight and obese children (16 males and 14 females with body mass index z-score range of 1.1-3.2) were recruited. Body fat distribution and fat accumulation in liver and skeletal muscle were measured using magnetic resonance imaging. Insulin sensitivity was assessed by iv glucose tolerance test. RESULTS: Insulin sensitivity was associated with sc abdominal adipose tissue (SAT) (r = -0.52; P < 0.01) and liver fat content (r = -0.44; P < 0.02) but not with visceral abdominal adipose tissue (VAT) (r = -0.193; P value not significant) and fat accumulation in skeletal muscle (r = -0.210; P value not significant). Adipokines, but not inflammation markers, were significantly correlated to insulin sensitivity. VAT correlated with C-reactive protein (r = 0.55; P < 0.01) as well as adiponectin (r = -0.53; P <0.01). Multiple regression analysis showed that only SAT and liver fat content were independently correlated to insulin sensitivity (P < 0.01; 20 and 16% of explained variance, respectively). CONCLUSIONS: In overweight and moderately obese prepubertal children, insulin sensitivity was negatively correlated with SAT and liver fat content. Furthermore, contrary to adults, VAT and inflammation markers were not correlated with insulin sensitivity in children.     

The relationship between insulin, IGF-I and weight gain in cystic fibrosis

OBJECTIVE: In cystic fibrosis, reduced body mass is related to low levels of IGF-I and changes in the IGF binding proteins. Our aim was to determine whether these abnormalities are linked to pancreatic endocrine dysfunction. PATIENTS AND DESIGN: We measured serum levels of insulin, IGF-I, IGFBP-I, IGFBP-3 and IGF bioactivity in 77 fasting subjects (43 male) mean age 9.6 years (range 2.99-17.98 years). Data were analysed with respect of body mass, puberty and stature and compared with control data established in the same laboratory. RESULTS: The mean height standard deviation score (SDS (SD)) was -0.54 (0.97) and the body mass index SDS -0.24 (1.09). Both body mass index SDS (r = -0.40, P = 0.0003) and IGF-I SDS (r = - 0.32, P = 0.009) declined with age. Insulin levels were also low and correlated with IGF-I and IGFBP-3 (r = 0.42, P = 0.0004, and r = 0.45, P = 0.0002, respectively) whereas levels of IGFBP-I were inversely related to those of IGF-I and insulin (r = - 0.43, P = 0. 0004, r = - 0.52, P < 0.0001). IGF bioactivity was reduced and inversely related to IGFBP-I (r = - 0.31, P = 0.009). In multiple regression analysis, body mass index SDS was negatively related to age (P < 0.0001) and positively related to insulin and IGF-I (P = 0. 04, P = 0.03, respectively). Height SDS was correlated with IGF bioactivity (P = 0.003) and negatively with IGFBP-I (P = 0.01). CONCLUSIONS: We conclude that progressive insulin deficiency may result in reduced IGF-I levels and IGF-bioactivity and may determine weight gain and statural growth in cystic fibrosis.     

Plasma oestrone-fatty acid ester levels are correlated with body fat mass in humans

OBJECTIVE: The metabolites of steroidal hormones, including sulphate, glucuronide, and fatty acid (FA) ester derivatives, have received little attention, although these steroid derivatives are essential components in the global assessment of steroid metabolism. The study of FA-derivatives could, in obesity, contribute some insights into factors modulating steroid metabolism and their plasma levels. In a recent study we found that, in rats, an oestrone-fatty acid ester (E1-FA) was produced by white adipose tissue and released into lipoproteins in the blood-stream. We have examined whether E1-FA levels correlate with body fat and insulin sensitivity in humans. SUBJECTS: A sample of 20 men and 22 women with varying levels of total body fat (mean body mass index (BMI) 29.2 +/- 4.7, range 22.2-35.8 in men; mean BMI 27.6 +/- 6.3, range 16.8-37.9 in women). All participants were healthy. MEASUREMENTS: We measured oestrone fatty acid esters (E1-FA), body fatness, and body fat distribution variables, as well as insulin sensitivity through a frequently sampled intravenous glucose tolerance test. Plasma E1-FA and serum leptin levels were measured by radioimmunoassay. RESULTS: E1-FA levels strongly correlated with BMI (r = 0.69, P = 0.001 in men; r = 0.75, P < 0.0001, in women) percent body fat (PBF, r = 0.52. P = 0.018 in men; and r = 0.69, P < 0.0001, in women) and with the sum of 4 fat skinfolds (sigma skinfolds). E1-FA level was significantly and positively associated with fasting insulin (r = 0.62, P = 0.003 in men, and r = 0.48, P = 0.023 in women) but not with fasting glucose levels. E1-FA correlated with insulin sensitivity (SI, r = -0.72 in men; and -0.76, in women, both P < 0.0001). In men, E1-FA levels also correlated with systolic blood pressure (r = 0.59, P = 0.01), total triglycerides (r = 0.63, P = 0.003), VLDL-triglycerides (r = 0.62, P = 0.004) and VLDL-cholesterol (r = 0.48, P = 0.03), but not with diastolic blood pressure, serum total or LDL-cholesterol, or total and HDL2 and HDL3 subfractions of HDL cholesterol. After controlling for fat mass, only the correlation between VLDL-triglycerides and E1-FA levels remained significant. In women, E1-FA levels correlated with total triglycerides (r = 0.66, P = 0.001), VLDL-triglycerides (r = 0.65, P = 0.001), VLDL-cholesterol (r = 0.63, P = 0.002), LDL-cholesterol (r = 0.57, P = 0.005) and total and HDL2 and HDL3 subfractions of HDL cholesterol (r = -0.58, -0.48, -0.61, P = 0.004, 0.02 and 0.002, respectively), but not with systolic or diastolic blood pressure or total cholesterol. However, covariance analysis revealed that controlling for the concomitant variation in body fat mass eliminated all these associations. Fasting plasma E1-FA concentration correlated with serum leptin (r = 0.60, P = 0.005 in men; r = 0.75, P = 0.0001, in women). However, these correlations no longer persisted after controlling for fat mass (r = 0.33 and 0.36, P = NS). Stepwise regression analysis models were tested, with E1-FA as the dependent variable, and sigma skinfolds and SI as independent covariables. Both the sigma skinfolds (P = 0.03) and SI (P = 0.01) entered the equation at a statistically significant level in men. Therefore, insulin sensitivity was related to E1-FA independently of fat in men. In women only sigma skinfolds (P = 0.04) entered the regression model at a statistically significantly level. Fifty-seven percent of the variance in plasma E1-FA levels in men, and 50% in women, was accounted for using a regression model that combined these variables. CONCLUSIONS: Oestrone-fatty acid esters circulate in human blood in proportion to body fat, independently of gender. Plasma oestrone-fatty acid ester levels are associated with insulin sensitivity in men, independently of body fat. These findings may widen our perspective on the regulation of insulin action and control of body weight.     

Ghrelin suppression in overweight children: a manifestation of insulin resistance?

Ghrelin levels increase before and decrease after meals, potentially playing a role in meal initiation and satiety in an inverse pattern to that of insulin. The role of ghrelin in childhood obesity, a state associated with hyperinsulinism and insulin resistance, is not fully understood. Therefore, the aims of the present study were to investigate the dynamics of ghrelin suppression after an oral glucose tolerance test (OGTT) in normal weight (NW) vs overweight (OW) children and the relationship of ghrelin suppression to insulin sensitivity. Thirty-seven NW (15 males and 22 females; 9.4 +/- 0.2 yr old) and 23 OW (13 males and 10 females; 9.4 +/- 0.3 yr old) prepubertal children underwent a 3-h OGTT with measurements of ghrelin, glucose, and insulin. The fasting glucose to insulin ratio and the whole body insulin sensitivity index were used to assess the relationship of insulin sensitivity to fasting ghrelin and ghrelin response to the OGTT, respectively. Fasting ghrelin levels were significantly lower in OW vs NW youth and were mainly influenced by insulin sensitivity independent of adiposity. OGTT-induced absolute suppression in ghrelin was approximately 50% less in OW vs NW children, resulting in a similar percent suppression from baseline in the two groups despite a significantly higher insulin response in OW. The suppression of ghrelin correlated positively with the whole body insulin sensitivity index (r = 0.43; P = 0.001) and negatively with the change in insulin at 30 min (r = -0.31; P = 0.02). Fasting ghrelin, the change in insulin, and the change in glucose during the OGTT were the significant independent variables contributing to the variance in absolute suppression of ghrelin (r2 = 0.42; P < 0.001). Only the change in glucose contributed significantly to the variance in the percent suppression of ghrelin (r2 = 0.14; P = 0.019). Fasting ghrelin and ghrelin suppression after OGTT are modulated by insulin sensitivity. Alterations in ghrelin suppression in OW children may be yet another manifestation of the insulin resistance of obesity. Whether this is responsible for differences in satiety in OW individuals merits additional investigation.     

Circulating interleukin 6 levels, blood pressure, and insulin sensitivity in apparently healthy men and women

There is increasing evidence that systemic inflammation and insulin resistance constitute interrelated events that contribute to atherosclerosis. We studied the effect of the association between circulating interleukin 6 (IL-6) levels, one of the major mediators of inflammation, and C-reactive protein on insulin resistance and blood pressure in 228 healthy volunteers. The plasma IL-6 concentration was significantly and similarly associated with systolic (SBP) and diastolic (DBP) blood pressure, fasting insulin, and the fasting insulin resistance index (FIRI) in all subjects. When smokers were excluded from the analysis, plasma IL-6 levels correlated with percent fat mass (r = 0.19; P = 0.02), absolute fat mass (r = 0.17; P = 0.03), SBP, DBP, fasting insulin levels, and FIRI. The latter associations persisted after controlling for body mass index (r = 0.15 and r = 0.19; P = 0.02 and P: = 0.0004 for SBP and DBP, respectively; r = 0.24 and r = 0.19, P = 0.004 and P = 0.03, for fasting insulin and FIRI, respectively). Gender and smoking status significantly influenced the results. Although IL-6 levels were significantly associated with fasting insulin and FIRI in men, these significant correlations were not observed in women. Conversely, although IL-6 levels were significantly associated with SBP and DBP in women, these coefficients were not statistically significant in men. All of these associations were lost among smokers and remained significant in nonsmokers. As IL-6 is the major mediator of the acute phase response by hepatocytes and induces the synthesis of C-reactive protein (CRP), we also controlled for the latter. Serum CRP levels correlated significantly with IL-6 in all the subjects, but mainly in nonsmokers and men. Of note was that this significant relationship was lost among smokers. CRP was associated with fasting insulin (r = 0.28; P < 0.0001) and FIRI (r = 0.25; P < 0.0001), but not with SBP or DBP (P = NS), in all subjects. Unlike IL-6, the associations between CRP and these parameters were similar in men and women and in smokers and nonsmokers. For insulin and FIRI they were stronger in women and in nonsmokers. CPR significantly correlated with the WHR only in men (r = 0.22; P = 0.01). Using multiple linear regression in a stepwise manner to predict circulating IL-6 levels, smoking status (P = 0.0059) and FIRI (P = 0.03), but not fat mass or SBP, independently contributed to 11% of its variance in men. When CRP was introduced into the model, the latter (P < 0.0001) and smoking status (P = 0.02), but not FIRI, fat mass, or SBP, contributed to 33% of the variance in IL-6 levels. In women, only SBP (P = 0.04) contributed to 5% of its variance. When CRP was introduced into the model, again only SBP (P = 0.01) contributed to 10% of the variance in IL-6 levels. In 25 of these subjects, insulin sensitivity was determined using the frequently sampled iv glucose tolerance test with minimal model analysis, and circulating IL-6 levels were strongly associated with the insulin sensitivity index (r = -0.65; P < 0.0001). Again, this relationship was even stronger in men (r = -0.75; P < 0.001) and was not significant in women (r = -0.26; P = NS). In all of these subjects, only insulin sensitivity (P = 0.0037), not fat mass, contributed to 21% of the variance of IL-6 levels in a multiple linear regression analysis. In summary, circulating IL-6 levels, by inducing either hypertension in women or insulin resistance in men, constitute a significant proatherogenic cytokine. The mechanisms of these associations should be further investigated.     

Surrogate estimates of insulin sensitivity in Chinese diabetic patients and their offspring.

AIMS: To evaluate the relationship between surrogate measures of insulin sensitivity and results from euglycaemic insulin clamp in Chinese diabetic patients and their offspring. METHODS: The study included 59 volunteers from 20 diabetic families. Each participant completed a 75-g oral glucose tolerance test (OGTT) and a euglycaemic insulin clamp. We tested the correlation of surrogate measures of insulin sensitivity with M-values and M/I ratios (the amount of glucose infused during 90-120 min of the clamp was defined as M, and the mean values of plasma insulin during 90-120 min as I) from the euglycaemic insulin clamp. These measures included fasting insulin (FPI), insulin at 120 min of OGTT, insulin area under the curve of OGTT, fasting glucose-to-insulin ratio, homeostasis model assessment for insulin sensitivity (HOMA-IR and HOMA %S) and the Matsuda-DeFronzo index from OGTT. RESULTS: The Matsuda-DeFronzo index closely correlated to M-value and M/I in 21 diabetic, 38 non-diabetic individuals and the 59 participants overall (with M-value, r = 0.68, 0.84 and 0.84; with M/I, r = 0.71, 0.72 and 0.75, respectively, all P < 0.001). Without OGTT, HOMA %S was a good surrogate index for diabetic (correlated to M-value and M/I, r = 0.71 and 0.68, P = 0.001) and for non-diabetic subjects (to M-value, r = 0.73; to M/I, r = 0.55, both P < 0.001). FPI was as good as HOMA %S and Matsuda-DeFronzo index. CONCLUSIONS: The Matsuda-DeFronzo index, HOMA %S and FPI are good surrogate estimates of insulin sensitivity in Chinese diabetic subjects and their offspring.     

QUICKI does not accurately reflect changes in insulin sensitivity with exercise training.

A novel index of insulin sensitivity, the quick insulin sensitivity check index, termed QUICKI (1/[log (insulin) + log (glucose)]), was recently developed. We examined whether QUICKI accurately reflects changes in insulin sensitivity after exercise training, a perturbation known to improve insulin sensitivity. Sedentary, nondiabetic adults underwent a frequently sampled iv glucose tolerance test before and after 6 months of training. Insulin sensitivity was estimated from the glucose tolerance test using Bergman's minimal model (insulin sensitivity-minimal model), and QUICKI was calculated from basal insulin and glucose. Exercise increased (P = 0.003) insulin sensitivity-minimal model but did not change (P = 0.12) QUICKI. Before and after training, the rank-correlation between QUICKI and insulin sensitivity-minimal model was significant (r = 0.79, P = 0.0005; r = 0.56, P = 0.03, respectively). However, the rank-correlation between fasting insulin alone with insulin sensitivity-minimal model was as good (before training r = -0.77, P = 0.0009; after training r = -0.55, P = 0.03) as that between QUICKI and insulin sensitivity-minimal model. Fasting glucose was not related to insulin sensitivity-minimal model at either time. When difference scores (i.e. after pretraining values) were examined, neither QUICKI nor fasting insulin correlated with insulin sensitivity-minimal model (QUICKI vs. insulin sensitivity-minimal model r = 0.24, P = 0.39; fasting insulin vs. insulin sensitivity-minimal model r = -0.40, P = 0.14). We conclude that fasting insulin is equivalent to fasting insulin plus glucose (i.e. QUICKI) at estimating basal insulin sensitivity in nondiabetic adults. However, QUICKI does not accurately reflect exercise-induced changes in insulin sensitivity within individual subjects.     

Plasma cholesteryl ester fatty acid composition, insulin sensitivity, the menopause and hormone replacement therapy

This study was designed to determine the effect of menopause and hormone replacement therapy (HRT) on plasma cholesteryl ester fatty acid (CEFA) composition and insulin sensitivity and the relationships between these variables in perimenopausal women (aged 40-55 years) including 49 who were premenopausal and 32 who were postmenopausal. Plasma cholesteryl ester proportions of dihomo-gamma-linolenic acid (20:3 n-6) were correlated significantly with insulin sensitivity index (r=-0.319, P=0.005), fasting serum insulin levels (r=0.230, P=0.038), body mass index (r=0.242, P=0.03) and per cent body fat (r=0.329, P=0.003) in perimenopausal women (n=81). Similar associations were observed in premenopausal women. Regression analysis suggested the relationships between 20:3 n-6 proportions and indices of insulin action may be partly mediated by levels of adiposity. In postmenopausal women, 6 months of HRT significantly (P=0.008) increased the ratio of arachidonic acid (20:4 n-6) to linoleic acid (18:2 n-6), which is an indicator of activity in the pathway of 20:4 n-6 synthesis, compared with placebo. These findings suggest that the type of fat in the diet indicated by plasma CEFA composition is linked to adiposity and insulin action. They also suggest that in postmenopausal women, HRT may increase the synthesis of 20:4 n-6, which is the precursor for eicosanoids with important cardiovascular functions.     

Ambulatory blood pressure monitoring in obese children: role of insulin resistance

OBJECTIVES: To investigate the relationship between ambulatory blood pressure (ABPM) parameters and insulin resistance in obese children. METHODS: A population of 56 obese prepubertal children was recruited for the study. They underwent ABPM, an oral glucose tolerance test and complete physical examination, including adiposity indexes such as body mass index (BMI), skinfolds, waist-to-hip ratio (WHR) and fat mass. RESULTS: The standard deviation score for BMI was significantly correlated with 24-h systolic blood pressure (SBP) (r = 0.30; P = 0.02) and diastolic blood pressure (DBP) (r = 0.29; P = 0.03), daytime SBP and DBP (r = 0.28; P = 0.04 and r = 0.32; P = 0.02), night-time SBP and DBP (r = 0.32; P = 0.01 and r = 0.27; P = 0.04). Fat mass was correlated with 24-h SBP (r = 0.46; P = 0.005), daytime SBP (r = 0.40; P = 0.01) and night-time SBP (r = 0.49; P = 0.03). No correlations were found between ABPM parameters and WHR. Furthermore, significant correlations were found between insulin resistance indexes, such as the homeostasis model assessment of insulin resistance and quantitative insulin-sensitivity check index, and 24-h DBP (r = 0.34; P = 0.01 and r = -0.29; P = 0.03), daytime DBP (r = 0.35; P = 0.009 and r = -0.34; P = 0.01) and daytime SBP (r = 0.32; P = 0.02 and r = -0.27; P = 0.04). Only 24-h and daytime DBP remained correlated with insulin resistance after adjustment for obesity. The analysis of the circadian rhythm of blood pressure revealed that 24 out the 56 children were non-dippers. CONCLUSIONS: The results of the present study indicate that adiposity and insulin resistance have an important role in influencing blood pressure in obese children, and also show a high prevalence of non-dipping phenomenon. This is of particular relevance because blood pressure tracks from childhood into adulthood and an already early-life high blood pressure is associated with an increased cardiovascular risk.     

The associations between plasma adiponectin, ghrelin levels and cardiovascular risk factors

OBJECTIVE: Ghrelin is a recently discovered peptide, which is produced primarily in the stomach. This orexigenic peptide participates not only in the induction of mealtime hunger but also in long-term body weight regulation and energy homeostasis. Adiponectin is a protein secreted by adipocytes, and has been proposed to mediate obesity-related insulin resistance. Moreover, concentrations of adiponectin are reduced in individuals with obesity, insulin resistance and cardiovascular disease. However, human data are sparse about the direct relationship between adiponectin, ghrelin and cardiovascular risk factors including insulin resistance. DESIGN: Three hundred and thirty-eight elderly Korean women (mean age+/-s.d., 72.3+/-5.5 years) were included in the present study. METHODS: Plasma ghrelin and adiponectin levels were measured by RIA. Anthropometric measurements were taken and a 75 g oral glucose tolerance test performed. Fasting insulin and lipid profile were measured and insulin resistance was determined using the homeostasis model assessment insulin resistance index (HOMA-R) and the quantitative insulin sensitivity check index. RESULTS: Plasma adiponectin levels were negatively correlated with central obesity indices such as waist circumference (r=-0.27, P<0.001) and waist-to-hip ratio (WHR) (r=-0.32, P<0.001), and with insulin resistance indices such as fasting insulin (r=-0.17, P=0.004) and HOMA-R (r=-0.13, P=0.035). Plasma ghrelin levels were negatively correlated with WHR (r=-0.12, P=0.03), but plasma adiponectin and ghrelin levels were not correlated (r=0.03, P=0.66). Multiple regression analysis showed that adiponectin was associated with WHR, fasting insulin and fasting glucose levels. When ghrelin was used as a dependent variable, only WHR remained in the final fitted model. CONCLUSION: Fasting plasma adiponectin and ghrelin levels were found to be associated with central obesity or insulin resistance. However, plasma adiponectin and ghrelin concentrations were not associated with each other in elderly Korean women.     

Insulin sensitivity and secretion influence the relationship between growth hormone-binding-protein and leptin

BACKGROUND: A direct relationship between body mass index (BMI), visceral adipose tissue, insulin levels and growth hormone-binding protein (GHBP) activity has consistently been reported. It was recently described that GHBP directly depends on serum leptin levels. Since leptin co-varies with insulin secretion and/or sensitivity, we aimed to study the influence of these variables on plasma GHBP activity. SUBJECTS: In order to isolate the effects of obesity per se from those of insulin secretion, three groups of subjects were prospectively studied: 14 lean, 10 obese and nine obese subjects with glucose intolerance. MEASUREMENTS: The percentage of body fat was measured through bioelectric impedance. Insulin sensitivity and secretion were determined through a frequently sampled intravenous glucose tolerance test with minimal model analysis. Serum leptin was measured by radioimmunoassay. GHBP activity was determined by the high performance liquid chromatography-gel filtration method. RESULTS: Plasma GHBP activity was found to correlate with BMI (r = 0. 65, P < 0.0001), fat mass (r = 0.51, P = 0.003), waist circumference (r = 0.64, P < 0.0001), waist-to-hip ratio (r = 0.42, P = 0.01), insulin sensitivity (SI, r = - 0.61, P = 0.0001), insulin secretion (expressed as the acute insulin response to intravenous glucose, AIRg) (r = 0.48, P = 0.006) and leptin concentration (r = 0.49, P = 0.004). The associations with SI (r = - 0.42, P = 0.02) and AIRg (r = 0.38, P = 0.03) persisted even after controlling for fat mass. Since insulin secretion and insulin sensitivity usually covary in glucose tolerant subjects (an increased insulin secretion is necessary to compensate a decreased insulin sensitivity), we constructed a multiple linear regression to predict GHBP activity. In this model, SI (P = 0.005), AIRg (P = 0.02) and SD score-leptin (P = 0.03) independently contributed to 34, 10 and 8% of the variability in serum GHBP activity. CONCLUSIONS: Our results suggest that plasma GHBP activity is simultaneouslly influenced by insulin secretion and sensitivity and leptin. Perhaps leptin, through increased insulin secretion, might induce GHBP/GH secretion, explaining the normal to high insulin-like growth factor (IGF)-I levels found in overnutrition.     

Lipoprotein lipase (LPL) mass in preheparin serum reflects insulin sensitivity

Lipoprotein lipase (LPL) is one of the enzymes regulated by insulin and its plasma activity reflects insulin sensitivity. Although intravenous heparin injection is required to measure LPL activity, we can detect LPL mass in preheparin serum (Pr-LPL mass) by immunoassay. In this study, we examined whether Pr-LPL mass reflects insulin sensitivity. We measured Pr-LPL mass, insulin sensitivity (Si), and acute insulin release in response to a glucose bolus (AIRg) in subjects with normal glucose tolerance (NGT; n = 23), impaired glucose tolerance (IGT; n = 10), and Type II diabetes mellitus (DM; n = 48). Si and AIRg were determined by minimal model analysis. We also compared Pr-LPL mass with the homeostasis model assessment of insulin resistance (HOMA-R) and the urinary excretion of C-peptide (urine CPR). We found that Pr-LPL mass correlated significantly with Si ( r = 0.354, P < 0.01) in all the subjects. This correlation was still significant in the NGT group (P < 0.472, P < 0.05), DM group (r = 0.311, P < 0.01), and DM group with a fasting plasma glucose >150 mg/dl ( n = 20, r = 0.459. P < 0.05). Moreover, Pr-LPL mass correlated negatively with HOMA-R (r = -0.272. P < 0.05) and fasting IRI (r = -0.256, P < 0.05). By contrast, Pr-LPL mass was not correlated with either urine CPR or logAIRg that reflect the ability to secrete insulin. In conclusion, Pr-LPL mass reflects insulin sensitivity. We speculate that Pr-LPL mass might be used to assess insulin sensitivity not only in the general population but also in advanced diabetic patients.     

Plasma adiponectin concentrations in children: relationships with obesity and insulinemia

Adiponectin, a novel adipokine with anti-inflammatory and insulin-sensitizing properties, has been found to have independent negative associations with obesity and hyperinsulinemia/insulin resistance in adults. We measured fasting plasma adiponectin and insulin concentrations and body composition (dual-energy x-ray absorptiometry or doubly labeled water) in 30 5-yr-old (11 boys and 19 girls) and 53 10-yr-old (17 boys and 36 girls) Pima Indian children. A subgroup of 20 children (5 boys and 15 girls) had all measurements at both 5 and 10 yr of age. Cross-sectionally, plasma adiponectin concentrations were negatively correlated with percentage body fat and fasting plasma insulin concentrations at both 5 yr (r = -0.35, P = 0.06, r = -0.42, P = 0.02) and 10 yr (r = -0.46, P = 0.001, r = -0.38, P = 0.005) of age. At age 10 yr, percentage body fat (P = 0.03) but not fasting plasma insulin (P = 0.59) was independently associated with fasting plasma adiponectin concentrations. Longitudinally, plasma adiponectin concentrations decreased with increasing adiposity. In summary, these results confirm our previously reported findings in adults of an inverse relationship between plasma adiponectin concentrations and adiposity in children. Longitudinal analyses indicated that hypoadiponectinemia is a consequence of the development of obesity in childhood. We did not find evidence that adiponectin is an early mediator of obesity-induced insulin resistance, a preliminary observation that needs to be confirmed in studies using a more direct measurement of insulin action than the one used in this investigation.     

Relationship of thyroid function with body mass index, leptin, insulin sensitivity and adiponectin in euthyroid obese women

BACKGROUND: A possible relationship between thyroid hormones and adipose tissue metabolism in humans has been suggested. Aim of the study We sought to evaluate thyroid function and its possible relationship with body mass index (BMI), leptin, adiponectin and insulin sensitivity in euthyroid obese women. MATERIALS AND METHODS: Eighty-seven uncomplicated obese women (mean age 34.7 +/- 9 years, mean BMI 40.1 +/- 7 kg/m(2)) were studied. Levels of TSH, free thyroxine (FT4), free triiodothyronine (FT3), plasma adiponectin and leptin were evaluated. Insulin sensitivity was assessed by euglycaemic hyperinsulinaemic clamp (M index), fasting insulin and HOMA-IR. RESULTS: Uncomplicated obese women with BMI > 40 kg/m(2) showed higher serum TSH than obese subjects with BMI < 40 kg/m(2) (P < 0.01). TSH was correlated with BMI (r = 0.44, P = 0.01) leptin (r = 0.41, P = 0.01), leptin/BMI ratio (r = 0.33, P = 0.03), body surface area (r = 0.26, P = 0.05), HOMA-IR (r = 0.245, P = 0.05) and inversely with adiponectin (r = -0.25, P = 0.05) and M index (r = -0.223 P = 0.05). CONCLUSIONS: Our data show that, although thyroid function was normal in the studied obese population, TSH and BMI were positively related. TSH has been found to be correlated also with leptin adjusted for BMI. TSH could represent a marker of altered energy balance in severe, but uncomplicated obese women.