Effects of Weight Reduction on Serum Vaspin Concentrations in Obese Subjects: Modification by Insulin Resistance

Visceral adipose tissue‐derived serpin (vaspin) has been regarded as a novel adipokine with potential insulin sensitizing properties. We investigated the changes of serum vaspin concentration in response to weight reduction, and the associations between changes in serum vaspin concentrations and changes of anthropometric and metabolic variables in obese subjects after weight reduction. We performed a longitudinal clinical intervention study on 63 obese persons enrolled in a 12‐week weight reduction program that included lifestyle modification and adjuvant treatment with the antiobesity agent orlistat. Anthropometric variables, lipid profiles, fasting glucose, fasting insulin, and serum vaspin concentrations were measured. Statistical analyses were performed according to the homeostasis model assessment of insulin resistance (HOMA_IR). Serum vaspin concentrations decreased significantly in responders (≥2% reduction in baseline weight), but not in nonresponders (<2% reduction in baseline weight). Changes in serum vaspin concentrations were significantly correlated with body weight, BMI, waist circumference, and hip circumference in the higher, but not in the lower, HOMA_IR group. In multivariate linear regression analysis, change in serum vaspin concentrations in the higher, but not in the lower, HOMA_IR group was positively correlated with change in BMI and negatively correlated with initial HOMA_IR level. The associations between changes in serum vaspin concentrations and changes in anthropometric and metabolic parameters differed according to insulin resistance status in obese subjects. These relationships were more prominent in the higher HOMA_IR group. Insulin resistance may influence the correlations between changes in serum vaspin concentration and related metabolic variables.     

Insulin Resistance is the Best Predictor of the Metabolic Syndrome in Subjects With a First‐Degree Relative With Type 2 Diabetes

Although obesity is associated with insulin resistance and the metabolic syndrome (MetS), some obese individuals are metabolically healthy. Conversely, some lean individuals are insulin resistant (IR) and at increased cardiometabolic risk. To determine the relative importance of insulin sensitivity, BMI and waist circumference (WC) in predicting MetS, we studied these two extreme groups in a high‐risk population. One thousand seven hundred and sixty six subjects with a first‐degree relative with type 2 diabetes were stratified by BMI and homeostasis model assessment of insulin resistance (HOMA_IR) into groups. IR groups had higher triglycerides, fasting glucose, and more diabetes than their BMI‐group insulin sensitive (IS) counterparts. Within both IS and IR groups, obesity was associated with higher HOMA_IR and diastolic blood pressure (BP), but no difference in other metabolic variables. MetS (Adult Treatment Panel III (ATPIII)) prevalence was higher in IR groups (P < 0.001) and more subjects met each MetS criterion (P < 0.001). Within each BMI category, HOMA_IR independently predicted MetS (P < 0.001) whereas WC did not. Within IS and IR groups, age and WC, but not BMI, were independent determinants of MetS (P < 0.001). WC was a less meaningful predictor of MetS at higher values of HOMA_IR. HOMA_IR was a better predictor of MetS than WC or BMI (receiver operating characteristic (ROC) area under the curve 0.76 vs. 0.65 vs. 0.59, P < 0.001). In conclusion, insulin sensitivity rather than obesity is the major predictor of MetS and is better than WC at identifying obese individuals with a healthier metabolic profile. Further, as many lean individuals with a first‐degree relative with type 2 diabetes are IR and metabolically unhealthy, they may all benefit from metabolic testing.     

Adipokines,Ghrelin and Obesity‐Associated Insulin Resistance in Nondiabetic Patients with Acute Coronary Syndrome

Altered glucose metabolism negatively modulates outcome in acute coronary syndromes (ACS). Insulin resistance is commonly associated with increasing BMI in the general population and these associations may involve obesity‐related changes in circulating ghrelin and adipokines. We aimed at investigating interactions between BMI, insulin resistance and ACS and their associations with plasma ghrelin and adipokine concentrations. Homeostasis model assessment of insulin resistance (HOMA_IR)‐insulin resistance index, plasma adiponectin, leptin, total (T‐Ghrelin), acylated (Acyl‐Ghrelin), and desacylated ghrelin (Desacyl‐Ghrelin) were measured in 60 nondiabetic ACS patients and 44 subjects without ACS matched for age, sex, and BMI. Compared with non‐ACS, ACS patients had similar HOMA_IR and plasma adipokines, but lower T‐ and Desacyl‐Ghrelin and higher Acyl‐Ghrelin. Obesity (BMI > 30) was associated with higher HOMA_IR, lower adiponectin, and higher leptin (P < 0.05) similarly in ACS and non‐ACS subjects. In ACS (n = 60) HOMA_IR remained associated negatively with adiponectin and positively with leptin independently of BMI and c‐reactive protein (CRP) (P < 0.05). On the other hand, low T‐ and Desacyl‐Ghrelin with high Acyl‐Ghrelin characterized both obese and non‐obese ACS patients and were not associated with HOMA_IR. In conclusion, in ACS patients, obesity and obesity‐related changes in plasma leptin and adiponectin are associated with and likely contribute to negatively modulate insulin resistance. ACS per se does not however enhance the negative impact of obesity on insulin sensitivity. High acylated and low desacylated ghrelin characterize ACS patients independently of obesity, but are not associated with insulin sensitivity.     

IL-12 serum levels in patients with type 2 diabetes treated with sulphonylureas

Interleukin-12 (IL-12) has been identified as a pro-inflammatory cytokine which is thought to contribute to the development of atherosclerosis. However, to date, the various associations between factors related to the course of type 2 diabetes, like metabolic compensation, beta cell secretory dysfunction, insulin resistance and IL-12 serum levels, remain unclear. Our study involved 41 patients with type 2 diabetes, 19 patients with coronary artery disease (CAD), and 19 healthy controls. We measured serum levels of fasting glucose, HbA₁c, 1,5-anhydro-d-glucitol, and lipids. In addition, serum levels of C-peptide, insulin, proinsulin and IL-12 were assayed. HOMA_IR score was calculated. The serum concentrations of IL-12 were higher in diabetics than in either patients with CAD or healthy controls, and were correlated with BMI, C-peptide, insulin, HOMA_IR, proinsulin and HDL serum levels. Multiple regression analysis revealed that the IL-12 serum level in type 2 diabetics primarily is dependent upon fasting proinsulin concentration. Our results demonstrate that elevated IL-12 serum levels in type 2 diabetics treated with sulphonylureas are induced especially by peripheral insulin resistance and beta cells dysfunction, as expressed by fasting serum proinsulin levels. This finding gives us hope that treatment to decrease peripheral insulin resistance and to avoid excessive proinsulin secretion might be successful in the prevention of IL-12-induced atherosclerosis.     

Effect of Glucose Tolerance Status on PAI‐1 Plasma Levels in Overweight and Obese Subjects

Objective: The aim of our study was to examine whether plasminogen activator inhibitor‐1 (PAI‐1) plasma levels varied as a function of differences in glucose tolerance status independently of body fatness, body‐fat distribution, and insulin sensitivity. Research Methods and Procedures: Plasma PAI‐1 antigen levels, along with insulin resistance [measured by homeostatic model assessment (HOMA_IR)], central fat accumulation, body composition, blood pressure, and fasting concentrations of glucose, insulin, and lipids, were measured in 229 overweight and obese [body mass index (BMI) ≥25 kg/m²) subjects with normal glucose tolerance (NGT) and in 44 age‐ and BMI‐matched subjects with impaired glucose tolerance (IGT). Results: Plasma PAI‐1 antigen levels were significantly higher in IGT than in NGT subjects. Log PAI‐1 was positively correlated with BMI, HOMA_IR, and log insulin, and inversely associated with high‐density lipoprotein‐cholesterol both in IGT and in NGT individuals. On the other hand, log PAI‐1 was positively correlated with waist circumference, fat mass (FM), fat‐free mass, systolic and diastolic blood pressure, and log triglycerides only in the NGT group. After multivariate analyses, the strongest determinants of PAI‐1 levels were BMI, FM, waist circumference, and high‐density lipoprotein cholesterol in the NGT group and only HOMA_IR in the IGT cohort. Discussion: This study demonstrates that PAI‐1 concentrations are higher in IGT than in NGT subjects. Furthermore, we suggest that the influences of total adiposity, central fat, and insulin resistance, main determinants of PAI‐1 concentrations, are different according to the degree of glucose tolerance.     

Effect of Family History of Type 2 Diabetes on White Blood Cell Count in Adult Women

Objective: To evaluate the effect of a first‐degree family history of type 2 diabetes on white blood cell (WBC) count, a risk factor for atherosclerotic vascular disease, in glucose‐tolerant adult women Research Methods and Procedures: WBC count was measured in 174 normal weight, overweight, and obese female offspring of type 2 diabetic patients (FH⁺) and 174 age‐ and BMI‐matched female controls with no family history of type 2 diabetes (FH^?). Other measurements included fat mass (FM), measured by body impedance analysis; central fat accumulation, evaluated by waist circumference; insulin resistance, estimated by homeostatic model assessment for insulin resistance (HOMA_IR); systolic and diastolic blood pressure; and fasting concentrations of glucose, insulin, and lipids. Results: WBC count, waist circumference, systolic blood pressure, and fasting levels of glucose, insulin, and triglycerides were significantly higher in FH⁺ than in FH^? subjects. In FH⁺ individuals, WBC count was positively associated with BMI, FM, waist circumference, HOMA_IR, and triglyceride and insulin concentrations, and negatively correlated with age and high‐density lipoprotein‐cholesterol. In FH^? subjects, WBC count was directly associated with BMI, FM, waist circumference, and triglyceride and insulin concentrations, and inversely correlated with age and high‐density lipoprotein‐cholesterol. After multivariate analyses, WBC count maintained a significant association with age, systolic blood pressure, and HOMA_IR in FH⁺ subjects and with age, BMI, FM, and triglycerides in FH^? individuals. Discussion: This study indicates that WBC count is increased in adult women with genetic predisposition to type 2 diabetes, and its main correlates are insulin resistance in FH⁺ and adiposity in FH^? individuals.     

Fasting Plasma Glucose (FPG) and the Risk of Impaired Glucose Tolerance in Obese Children and Adolescents

A timely diagnosis of impaired glucose tolerance (IGT) is desirable in obesity. The oral glucose tolerance test (OGTT), the gold standard to diagnose this condition, may not be realistically performed in all patients due to discomfort, labor, and cost. The aim of this study was to assess whether one or more biochemical indexes measured in fasting conditions could be used to identify obese children at risk of IGT. A cohort of 563 white obese children and adolescents (M/F: 315/248; aged 4–17 years) was recruited and underwent anthropometric evaluation and OGTT. Anthropometric parameters, fasting plasma glucose (FPG), fasting serum insulin (FSI), and homeostasis model assessment of insulin resistance (HOMA_IR) were tested in pursuit of a possible threshold to be used as a predictor of IGT. Thirty‐seven children (6.9%) had IGT and one child (0.1%) had type 2 diabetes (T2D). FPG, FSI, and HOMA_IR were all significantly higher in children with IGT than in children without IGT. Receiver‐operating characteristic (ROC) curve analyses run for gender and puberty‐adjusted FPG, FSI, and HOMA_IR were all significant: area under the curve (95% confidence interval) equaled 0.68 (0.59–0.76), 0.66 (0.56–0.76), and 0.68 (0.59–0.78), respectively. The three parameters did not show significantly different sensitivity/specificity in the pooled population or in the gender/puberty subgroups. Thresholds varied among gender/puberty subgroups for FSI and HOMA_IR, but not for FPG, which showed a fixed threshold of 86 mg/dl. A gender/puberty independent cutoff of FPG may be considered a screening tool to narrow clinical indication to OGTT in obese white children and adolescents.     

Glucose Tolerance and Weight Loss in Obese Women with Obstructive Sleep Apnea

Background

The association of obstructive sleep apnea (OSA) with glucose intolerance and the beneficial effect of lifestyle intervention have been poorly investigated in women particularly before menopausal status. The study explored 1) whether OSA is associated with impaired glucose homeostasis in obese non diabetic premenopausal and menopausal women and 2) the effects of a 3- month lifestyle intervention on glucose homeostasis in OSA women.

Design and Methods

We consecutively recruited 98 obese women (39 premenopausal) from those referred for a weight loss intervention. Ambulatory nocturnal polysomnography, body composition, oral glucose tolerance test, insulin sensitivity and β cell function were assessed before and after intervention.

Results

41% of premenopausal and 64% of menopausal women had OSA which was associated with worse glucose homeostasis before menopausal status. Mean and minimal nocturnal oxygen saturation (SaO₂) was associated with neck/height ratio (NHR), independently of total and central obesity. Mean and minimal nocturnal SaO₂ and NHR were correlated with insulin sensitivity and fasting glucose. In multivariate analyses, nocturnal mean SaO₂ was negatively and independently correlated with fasting glucose (p<0.0001) and NHR with insulin sensitivity (p<0.0001). In OSA women, the intervention induced a 5% weight reduction and a significant increase in minimal nocturnal SaO₂, insulin sensitivity and β cell function. Changes in fasting glucose and insulin sensitivity were associated with those in minimal nocturnal SaO₂ (p<0.05) and not with weight loss.

Conclusions

In obese women, glucose homeostasis worsens due to nocturnal hypoxia and increased neck circumference through mechanisms partially independent of obesity. OSA is more clearly associated with glucose intolerance in premenopausal than in menopausal women. In OSA women, the improvement of nocturnal hypoxia induced by lifestyle modifications is associated with that of glucose homeostasis.     

Insulin resistance in Chileans of European and indigenous descent: evidence for an ethnicity x environment interaction

Background

Effects of urbanisation on diabetes risk appear to be greater in indigenous populations worldwide than in populations of European origin, but the reasons are unclear. This cross-sectional study aimed to determine whether the effects of environment (Rural vs. Urban), adiposity, fitness and lifestyle variables on insulin resistance differed between individuals of indigenous Mapuche origin compared to those of European origin in Chile.

Methodology/Principal Findings

123 Rural Mapuche, 124 Urban Mapuche, 91 Rural European and 134 Urban European Chilean adults had blood taken for determination of HOMA-estimated insulin resistance (HOMA_IR) and underwent assessment of physical activity/sedentary behaviour (using accelerometry), cardiorespiratory fitness, dietary intake and body composition. General linear models were used to determine interactions with ethnicity for key variables. There was a significant “ethnicity x environment” interaction for HOMA_IR (Mean±SD; Rural Mapuche: 1.65±2.03, Urban Mapuche: 4.90±3.05, Rural European: 0.82±0.61, Urban European: 1.55±1.34, p _{(interaction)} = 0.0003), such that the effect of urbanisation on HOMA_IR was greater in Mapuches than Europeans. In addition, there were significant interactions (all p<0.004) with ethnicity for effects of adiposity, sedentary time and physical activity on HOMA_IR, with greater effects seen in Mapuches compared to Europeans, an observation that persisted after adjustment for potential confounders.

Conclusions/Significance

Urbanisation, adiposity, physical activity and sedentary behaviour influence insulin resistance to a greater extent in Chilean Mapuches than Chileans of European descent. These findings have implications for the design and implementation of lifestyle strategies to reduce metabolic risk in different ethnic groups, and for understanding of the mechanisms underpinning human insulin resistance.     

Early Detrimental Metabolic Outcomes of rs17300539‐A Allele of ADIPOQ Gene Despite Higher Adiponectinemia

Minor allele A of single‐nucleotide polymorphism (SNP) 11391 G/A of ADIPOQ gene (rs17300539) has been consistently associated with higher adiponectin levels in adults and children. The aim of this study was to investigate the metabolic role of this variant in a large cohort of children of European origin. A total of 1,852 children from two general populations in Verona and in Fleurbaix–Laventie and from the Lille childhood obesity cohort, were genotyped and pooled together after checking for the absence of genetic heterogeneity for rs17300539 between Italian and French children. The genotype of rs17300539 was studied in relation to circulating adiponectin levels, BMI, fasting plasma glucose, fasting serum insulin (FSI), insulin resistance index (homeostasis model assessment of insulin resistance (HOMA_IR)), high‐density lipoprotein cholesterol, and triglycerides. After adjustment for known confounders, rs17300539 GA+AA carriers had 1.6 µg/ml higher adiponectin levels (P = 6 × 10^?8) than GG carriers. They also showed higher BMI (B = 0.97, P = 0.015) and higher prevalence of obesity (OR = 1.35 (1.06–1.85), P = 0.015) than GG carriers. Before adjusting for obesity status, GA+AA carriers had higher FSI (B = 1.10, P = 0.040) and higher HOMA_IR (B = 0.31, P = 0.020) than GG carriers. After adjustment for obesity status, they did not differ from GG carriers for any metabolic parameter, either among obese or nonobese children. The rs17300539‐A variant, though consistently associated with higher adiponectin levels, does not exert any appreciable protective metabolic effect in children, either in the presence or absence of obesity. In contrast, this SNP may increase the risk for childhood obesity and related insulin resistance.     

Obesity and Persistent Organic Pollutants: Possible Obesogenic Effect of Organochlorine Pesticides and Polychlorinated Biphenyls

Persistent organic pollutants (POPs) are endocrine‐disrupting chemicals associated with the development of the metabolic syndrome and type 2 diabetes. In humans, little is known about their role in the potential origin of obesity. This study aims to assess the associations between serum levels of POPs and the prevalence of obesity in a cohort of obese and lean adult men and women. POP serum samples were investigated cross‐sectionally in 98 obese and 47 lean participants, aged ≥18 years. Serum samples were analyzed for the presence of polychlorinated biphenyl (PCB) congeners 153, 138, 180, and 170 and for the organochlorine pesticides, dichloro‐diphenyl‐dichloroethylene (pp‐DDE), and β‐hexachlorocyclohexane (βHCH). We established a significant negative correlation between BMI, waist, fat mass percentage, total and subcutaneous abdominal adipose tissue, and serum levels of PCB 153, 180, 170, and the sumPCBs. For βHCH, we demonstrated a positive correlation with BMI, waist, fat mass percentage, and total and subcutaneous abdominal adipose tissue. PCBs 180, 170, and the sum of PCBs correlated significantly negative with homeostasis model assessment for insulin resistance (HOMA_IR). βHCH correlated significantly positively with HOMA_IR. A strong correlation was established between all POP serum levels and age. We established a positive relationship between high serum levels of βHCH and BMI and HOMA_IR, whereas serum PCB levels were inversely correlated with BMI and HOMA_IR. Combined, these results suggest that the diabetogenic effect of low‐dose exposure to POPs might be more complicated than a simple obesogenic effect.     

Association Between Uric Acid Levels and Obstructive Sleep Apnea Syndrome in a Large Epidemiological Sample

Introduction

Recurrent hypoxia, which is associated with obstructive sleep apnea syndrome (OSAS), leads to an increase in the degradation of adenosine triphosphatase into xanthine, which in turn increases uric acid concentrations.

Objective

The current study aimed to determine whether an association exists between OSAS and uric acid levels in the peripheral blood from a representative population of Sao Paulo (Brazil).

Methods

A population-based survey adopting a probabilistic 3-stage cluster sample of Sao Paulo was used to represent the population according to gender, age, and socioeconomic class. A total of 1,042 volunteers underwent polysomnography recordings for OSAS diagnosis, blood pressure assessment, and biochemical blood analysis, and answered questionnaires.

Results

Uric acid levels were correlated with most important risk factors for OSAS, such as AHI, desaturation time and index, minimum oxyhemoglobin saturation (SpO₂), blood pressure, cholesterol, BMI, triglycerides and arousal, and with OSAS itself. Also, uric acid was increased in OSAS volunteers even after controlling for all confounders. Hyperuricemic volunteers presented lower mean and minimum SpO₂ and increased desaturation index. Importantly, minimum SpO₂ was a significant predictor of uric acid levels, which in turn was considered an independent predictor for OSAS in the binary logistic model. However, a ROC curve analysis for establishing cut-off points for uric acid levels as a biomarker of OSAS revealed moderate sensitivity and specificity.

Conclusion

A strong association was found between uric acid levels and OSAS in a representative sample of the population of Sao Paulo. Although they do not qualify for a biomarker alone, uric acid levels may be involved in OSAS severity and should be considered in sleep apnea management in the future.     

Novel adiponectin-resistin (AR) and insulin resistance (IRAR) indexes are useful integrated diagnostic biomarkers for insulin resistance, type 2 diabetes and metabolic syndrome: a case control study

Background

Adiponectin and resistin are adipokines which modulate insulin action, energy, glucose and lipid homeostasis. Meta-analyses showed that hypoadiponectinemia and hyperresistinemia are strongly associated with increased risk of insulin resistance, type 2 diabetes (T2DM), metabolic syndrome (MS) and cardiovascular disease. The aim of this study was to propose a novel adiponectin-resistin (AR) index by taking into account both adiponectin and resistin levels to povide a better indicator of the metabolic homeostasis and metabolic disorders. In addition, a novel insulin resistance (IR_AR) index was proposed by integration of the AR index into an existing insulin resistance index to provide an improved diagnostic biomarker of insulin sensitivity.

Methods

In this case control study, anthropometric clinical and metabolic parameters including fasting serum total adiponectin and resistin levels were determined in 809 Malaysian men (208 controls, 174 MS without T2DM, 171 T2DM without MS, 256 T2DM with MS) whose ages ranged between 40-70 years old. Significant differences in continuous variables among subject groups were confirmed by ANCOVA or MANCOVA test using 1,000 stratified bootstrap samples with bias corrected and accelerated (BCa) 95% CI. Spearman's rho rank correlation test was used to test the correlation between two variables.

Results

The AR index was formulated as 1+log₁₀(R₀)-log₁₀(A₀). The AR index was more strongly associated with increased risk of T2DM and MS than hypoadiponectinemia and hyperresistinemia alone. The AR index was more strongly correlated with the insulin resistance indexes and key metabolic endpoints of T2DM and MS than adiponectin and resistin levels alone. The AR index was also correlated with a higher number of MS components than adiponectin and resistin levels alone. The IR_AR index was formulated as log₁₀(I₀G₀)+log₁₀(I₀G₀)log₁₀(R₀/A₀). The normal reference range of the IR_AR index for insulin sensitive individuals was between 3.265 and 3.538. The minimum cut-off values of the IR_AR index for insulin resistance assessment were between 3.538 and 3.955.

Conclusions

The novel AR and IR_AR indexes are cost-effective, precise, reproducible and reliable integrated diagnostic biomarkers of insulin sensitivity for screening subjects with increased risk of future development of T2DM and MS.     

Association of Long‐term Change in Waist Circumference With Insulin Resistance

Recent studies have shown that fat accumulation is associated with insulin resistance; however, the risks associated with long‐term changes and fluctuations in central fatness are less clear. This study examined the longitudinal relationship between waist circumference (WC) and insulin resistance using three dimensions of WC: baseline WC, slope of linear changes in WC, and fluctuation of WC around the slope during 20 years of follow‐up. Anthropometry, insulin resistance (homeostasis model assessment (HOMA_IR)), and lifestyle factors were obtained in a population‐based, prospective observational study (Coronary Artery Risk Development in Young Adults (CARDIA)) during 1985–2006, excluding participants who had been diagnosed with diabetes at any examination. After adjusting for socio‐demographic and lifestyle factors, the evolution of HOMA_IR from CARDIA year 15 to 20 was 6.9% higher per standard deviation of year 0 WC (P trend <0.0001) and 6.3% higher per standard deviation increase in the change in WC over the long term (P trend <0.0001). However, WC fluctuations around the linear change were not associated with insulin resistance or its evolution. The level of HOMA_IR increased substantially with steeper linear WC slope among initially thinner participants at baseline, whereas this association tended to be weaker in those with higher initial WC (P interaction <0.0001). We conclude that year 0 WC and long‐term increment in WC are associated with worsening insulin resistance. However, the association of HOMA_IR with slope of WC change may vary across the range of initial WC.     

Association of RBP4 Gene Variants and Serum HDL Cholesterol Levels in the Newfoundland Population

Retinol‐binding protein 4 (RBP4) is a novel adipokine that likely contributes to systemic insulin resistance and dyslipidemia. The role of genetic variations in RBP4 on phenotypes of glucose and lipid metabolism is not clear in humans. The purpose of this study was to examine five single‐nucleotide polymorphisms (SNPs) in the RBP4 gene to determine their relationship with markers of insulin resistance and serum lipids in the CODING Study. The CODING Study consists of 1,836 subjects recruited from the genetically homogeneous population of Newfoundland and Labrador (NL), Canada. Serum glucose, insulin, homeostasis model assessment of insulin resistance (HOMA_IR), HOMA for β cell function (HOMA_β), total cholesterol (Chol), high‐density lipoprotein cholesterol (HDL‐C), low‐density lipoprotein cholesterol (LDL‐C), and triglycerides were determined after a 12‐h fast. Five SNPs within RBP4 (rs3758539, G/A 5′ flanking region; rs61461737, A/G intron; rs10882280, C/A intron; rs11187545, A/G intron; and rs12265684, C/G intron) were genotyped using TaqMan validated or functionally tested SNP genotyping assays. After correcting for multiple testing, we observed a significant association between the minor allele of two noncoding SNPs (rs10882280 and rs11187545) and higher serum HDL‐C (P = 0.043 and 0.042, respectively). No significant associations were observed with any other parameter related to lipid metabolism. We also found no significant association between any variant sites and markers of insulin resistance. Our results suggest that genetic variations in RBP4 may play a role in the differences in serum HDL‐C levels in the NL population.     

Circulating Irisin Levels Are Positively Associated with Metabolic Risk Factors in Sedentary Subjects

Introduction

A physically active life-style plays an independent role in the protection against type 2 diabetes and cardiovascular diseases. Irisin, a novel exercise-induced myokine, activates thermogenesis in rodents through increasing beige fat cells abundance within white fat. We aimed to investigate circulating irisin levels in association with the degree of physical activity and various metabolic parameters in humans.

Methods

Circulating irisin levels (ELISA) and metabolic parameters were analyzed in 428 subjects (195 men/233 women). Participants were classified according to their self-reported physical activity and to their area of residence.

Results

Circulating irisin levels were higher in active than in sedentary subjects (p= 0.006). Rural inhabitants showed higher circulating irisin levels than urban subjects (p < 0.0001). The increase in irisin levels related to an active lifestyle was only observed in rural citizens (p = 0.014). Among sedentary participants, irisin levels were positively associated with metabolic risk factors (BMI, fasting insulin, HOMA and fasting triglycerides). The area of residence (β= - 0.592, p= < 0.0001) contributed independently to circulating irisin levels variance after controlling for age, gender, BMI, HOMA_IR, triglycerides and physical activity.

Conclusions

In sedentary participants, circulating irisin levels were positively associated with parameters related to an increased cardiometabolic risk. The present study confirmed that an active lifestyle increases circulating irisin levels, but only among subjects living in a rural environment. Area of residence might be a determinant of irisin levels.     

Sphingolipid Content of Human Adipose Tissue: Relationship to Adiponectin and Insulin Resistance

Ceramides (Cer) are implicated in obesity‐associated skeletal muscle and perhaps adipocyte insulin resistance. We examined whether the sphingolipid content of human subcutaneous adipose tissue and plasma varies by obesity and sex as well as the relationship between ceramide content and metabolic indices. Abdominal subcutaneous adipose biopsies were performed on 12 lean adults (males = 6), 12 obese adults (males = 6) for measurement of sphingolipid content and activity of the main ceramide metabolism enzymes. Blood was sampled for glucose, insulin (to calculate homeostasis model assessment‐estimated insulin resistance (HOMA_IR)) adiponectin, and interleukin‐6 (IL‐6) concentrations. Compared to lean controls, total ceramide content (pg/adipocyte) was increased by 31% (P < 0.05) and 34% (P < 0.05) in obese females and males, respectively. In adipocytes from obese adults sphingosine, sphinganine, sphingosine‐1‐phosphate, C14‐Cer, C16‐Cer, and C24‐Cer were all increased. C18:1‐Cer was increased in obese males and C24:1‐Cer in obese females. For women only, there was a negative correlation between C16‐Cer ceramide and plasma adiponectin (r = ?0.77, P = 0.003) and a positive correlation between total ceramide content and HOMA_IR (r = 0.74, P = 0.006). For men only there were significant (at least P < 0.05), positive correlations between adipocyte Cer‐containing saturated fatty acid and plasma IL‐6 concentration. We conclude that the sexual dimorphism in adipose tissue behavior in humans extends to adipose tissue sphingolipid content its association with adiponectin, IL‐6 and insulin resistance.     

Weight and metabolic effects of CPAP in obstructive sleep apnea patients with obesity

Background

Obstructive sleep apnea (OSA) is associated with obesity, insulin resistance (IR) and diabetes. Continuous positive airway pressure (CPAP) rapidly mitigates OSA in obese subjects but its metabolic effects are not well-characterized. We postulated that CPAP will decrease IR, ghrelin and resistin and increase adiponectin levels in this setting.

Methods

In a pre- and post-treatment, within-subject design, insulin and appetite-regulating hormones were assayed in 20 obese subjects with OSA before and after 6 months of CPAP use. Primary outcome measures included glucose, insulin, and IR levels. Other measures included ghrelin, leptin, adiponectin and resistin levels. Body weight change were recorded and used to examine the relationship between glucose regulation and appetite-regulating hormones.

Results

CPAP effectively improved hypoxia. However, subjects had increased insulin and IR. Fasting ghrelin decreased significantly while leptin, adiponectin and resistin remained unchanged. Forty percent of patients gained weight significantly. Changes in body weight directly correlated with changes in insulin and IR. Ghrelin changes inversely correlated with changes in IR but did not change as a function of weight.

Conclusions

Weight change rather than elimination of hypoxia modulated alterations in IR in obese patients with OSA during the first six months of CPAP therapy.     

Appetite‐Regulating Hormone Changes in Patients With Craniopharyngioma

Patients with craniopharyngioma (CP), an embryological tumor located in the hypothalamic and/or pituitary region, often suffer from uncontrolled eating and severe obesity. We aimed to compare peripherally secreted hormones involved in controlling food intake in normal weight and obese children and adolescents with CP vs. controls. Plasma insulin, glucose, total ghrelin, and peptide‐YY (PYY) levels were assessed under fasting conditions as well as 60 min after liquid mixed meal in four groups: Normal weight (n = 12) and obese (n = 15) CP patients, and 12 normal weight and 15 obese otherwise healthy BMI‐, gender‐ and age‐matched controls. Homeostasis model assessment of insulin resistance (HOMA_IR), as well as quantitative insulin sensitivity check index (QUICKI) were calculated. Obese CP subjects had significantly higher HOMA_IR, higher baseline and postmeal insulin but lower ghrelin levels, weaker postmeal changes for PYY, and lower QUICKI compared to obese controls. QUICKI data from all CP patients correlated positively with ghrelin and PYY % postmeal changes (ghrelin: r = 0.38, P = 0.023; PYY r = 0.40, P = 0.017) and negatively with standard deviation score‐BMI (SDS‐BMI: r = ?0.49, P = 0.002). Tumor growth of 87% obese and 58% of normal weight CP patients affected the hypothalamic area which was associated with higher SDS‐BMI and weaker % postmeal ghrelin changes (P = 0.014) compared to CP patients without hypothalamic tumor involvement. Blunted postmeal ghrelin and PYY responses in obese CP subjects are likely due to their higher degree of insulin resistance and lower insulin sensitivity compared to matched obese controls. Thus, insulin resistance in CP patients seems to affect eating behavior by affecting meal responses of gut peptides.     

Decreased Liver Fatty Acid Δ‐6 and Δ‐5 Desaturase Activity in Obese Patients

Steatosis in obese nonalcoholic fatty liver disease (NAFLD) patients is a clinicopathological condition associated with depletion of n‐3 polyunsaturated fatty acids (PUFA), a feature that may be related to PUFA desaturation. Liver Δ‐6 and Δ‐5 desaturase (Δ‐6D and Δ‐5D) activities, homeostasis model assessment of insulin resistance (HOMA_IR), and ferric reducing ability of plasma (FRAP) were evaluated in 13 obese patients who underwent subtotal gastrectomy with gastro‐jejunal anastomosis in Roux‐en‐Y and 15 nonobese patients who underwent laparoscopic cholecystectomy (controls). Liver Δ‐6D and Δ‐5D activities in obese patients were 87% and 66% lower than controls (P < 0.001), respectively, with a 62% diminution in the Δ‐6D/Δ‐5D activity ratio (P < 0.02). Δ‐6D inversely correlated with both HOMA_IR (r = ?0.70, P < 0.0001) and oxidative stress assessed as the reciprocal value of FRAP (r = ?0.40, P < 0.05). Δ‐5D negatively correlated with HOMA_IR (r = ?0.48, P < 0.01) but not with FRAP^?1 (r = ?0.13, not significant). In conclusion, liver PUFA desaturation is diminished in obese NAFLD patients, in association with underlying insulin resistance and oxidative stress, which may play a role in altering lipid metabolism favoring fatty infiltration.