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.     

Abdominal Subcutaneous and Visceral Adipose Tissue and Insulin Resistance in the Framingham Heart Study

Insulin resistance is associated with central obesity and an increased risk of cardiovascular disease. Our objective is to examine the association between abdominal subcutaneous (SAT) and visceral adipose tissue (VAT) and insulin resistance, to determine which fat depot is a stronger correlate of insulin resistance, and to assess whether there was an interaction between SAT, VAT, and age, sex, or BMI. Participants without diabetes from the Framingham Heart Study (FHS), who underwent multidetector computed tomography to assess SAT and VAT (n = 3,093; 48% women; mean age 50.4 years; mean BMI 27.6 kg/m²), were evaluated. Insulin resistance was measured using the homeostasis model and defined as HOMA_IR ≥75th percentile. Logistic regression models, adjusted for age, sex, smoking, alcohol, menopausal status, and hormone replacement therapy use, were used to assess the association between fat measures and insulin resistance. The odds ratio (OR) for insulin resistance per standard deviation increase in SAT was 2.5 (95% confidence interval (CI): 2.2–2.7; P < 0.0001), whereas the OR for insulin resistance per standard deviation increase in VAT was 3.5 (95% CI: 3.1–3.9; P < 0.0001). Overall, VAT was a stronger correlate of insulin resistance than SAT (P < 0.0001 for SAT vs. VAT comparison). After adjustment for BMI, the OR of insulin resistance for VAT was 2.2 (95% CI: 1.9–2.5; P < 0.0001). We observed an interaction between VAT and BMI for insulin (P interaction = 0.0004), proinsulin (P interaction = 0.003), and HOMA_IR (P interaction = 0.003), where VAT had a stronger association in obese individuals. In conclusion, SAT and VAT are both correlates of insulin resistance; however, VAT is a stronger correlate of insulin resistance than SAT.     

Adiponectin and leptin in African Americans

Objective: African Americans (AAs) have less visceral and more subcutaneous fat than whites, thus the relationship of adiponectin and leptin to body fat and insulin sensitivity in AA may be different from that in whites. Methods and Procedures: Sixty‐nine non‐diabetic AA (37 men and 32 women), aged 33 ± 1 year participated. The percent fat was determined by dual‐energy X‐ray absorptiometry, abdominal visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) volume by computerized tomography (CT), and insulin sensitivity by homeostasis model assessment (HOMA). Results: VAT was greater in men (1,619 ± 177 cm³ vs. 1,022 ± 149 cm³; P = 0.01); women had a higher percentage of body fat (34.1 ± 1.4 vs. 24.0 ± 1.2; P < 0.0001), adiponectin (15.8 ± 1.2 μg/ml vs. 10.4 ± 0.8 μg/ml; P = 0.0004) and leptin (23.2 ± 15.8 ng/ml vs. 9.2 ± 7.2 ng/ml; P < 0.0001). SAT and HOMA did not differ because of the sex. Adiponectin negatively correlated with VAT (r = ?0.41, P < 0.05) in men, and with VAT (r = ?0.55, P < 0.01), and SAT (r = ?0.35, P < 0.05) in women. Adiponectin negatively correlated with HOMA in men (r = ?0.38, P < 0.05) and women (r = ?0.44, P < 0.05). In multiple regression, sex (P = 0.02), HOMA (P = 0.03) and VAT (P = 0.003) were significant predictors of adiponectin (adj R ² = 0.38, P < 0.0001). Leptin positively correlated with VAT, SAT, percent fat and HOMA in men (r = 0.79, r = 0.86, r = 0.89, and r = 0.53; P < 0.001) and women (r = 0.62, r = 0.75, r = 0.83, and r = 0.55; P < 0.01). In multiple regression VAT (P = 0.04), percent body fat (P < 0.0001) and sex (P = 0.01), but not HOMA were significant predictors of serum leptin (adj R ²= 0.82, P < 0.0001). Discussion: The relationship of adiponectin and leptin to body fat content and distribution in AA is dependent on sex. Although VAT and insulin sensitivity are significant determinants of adiponectin, VAT and percent body fat determine leptin.     

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.     

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.     

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.     

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.     

Insulin Resistance and Oxidative Stress Influence Colony‐Forming Unit‐Endothelial Cells Capacity in Obese Patients

The aim of this study was to investigate the relationship between a sub‐population of endothelial progenitor cells (EPC), namely colony‐forming unit‐endothelial cells (CFU‐EC), their colony‐forming capacity and variable clinical parameters, including insulin resistance and oxidative stress, in obese individuals. Thirty‐eight obese adults (aged 42.5 ± 12.7), with BMI 32.3 ± 4.0 and 13 normal‐weight controls (aged 48.2 ± 12.9; BMI 23.2 ± 2.3) were studied. CFU‐EC colony‐forming capacity was impaired in the group of obese individuals compared to the normal‐weight controls (P = 0.001). The inverse correlation between homeostasis model assessment‐insulin resistance (HOMA_IR) index and CFU‐EC number (r = ?0.558, P < 0.0001) as well as positive total antioxidant status of plasma (TAS)/CFU‐EC relation were noticed during the study. Additionally, correlations between the concentration of triglycerides (TG), high‐density lipoproteins (HDLs), and body composition parameters in the obese participants were established. Our results demonstrate that insulin resistance and oxidative stress have a significant impact on the CFU‐EC colony formation in obesity. Moreover, in multivariate regression analysis, in both studied groups, the HOMA_IR index and HDL concentration were independent predictors of the number of CFU‐EC. Endothelium dysfunction, which can be present in obesity, may in part be caused by EPC function impairment in this condition.     

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.     

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.     

A 12‐Week Aerobic Exercise Program Reduces Hepatic Fat Accumulation and Insulin Resistance in Obese,Hispanic Adolescents

The rise in obesity‐related morbidity in children and adolescents requires urgent prevention and treatment strategies. Currently, only limited data are available on the effects of exercise programs on insulin resistance, and visceral, hepatic, and intramyocellular fat accumulation. We hypothesized that a 12‐week controlled aerobic exercise program without weight loss reduces visceral, hepatic, and intramyocellular fat content and decreases insulin resistance in sedentary Hispanic adolescents. Twenty‐nine postpubertal (Tanner stage IV and V), Hispanic adolescents, 15 obese (7 boys, 8 girls; 15.6 ± 0.4 years; 33.7 ± 1.1 kg/m²; 38.3 ± 1.5% body fat) and 14 lean (10 boys, 4 girls; 15.1 ± 0.3 years; 20.6 ± 0.8 kg/m²; 18.9 ± 1.5% body fat), completed a 12‐week aerobic exercise program (4 × 30 min/week at ≥70% of peak oxygen consumption (VO₂peak)). Measurements of cardiovascular fitness, visceral, hepatic, and intramyocellular fat content (magnetic resonance imaging (MRI)/magnetic resonance spectroscopy (MRS)), and insulin resistance were obtained at baseline and postexercise. In both groups, fitness increased (obese: 13 ± 2%, lean: 16 ± 4%; both P < 0.01). In obese participants, intramyocellular fat remained unchanged, whereas hepatic fat content decreased from 8.9 ± 3.2 to 5.6 ± 1.8%; P < 0.05 and visceral fat content from 54.7 ± 6.0 to 49.6 ± 5.5 cm²; P < 0.05. Insulin resistance decreased indicated by decreased fasting insulin (21.8 ± 2.7 to 18.2 ± 2.4 µU/ml; P < 0.01) and homeostasis model assessment of insulin resistance (HOMA_IR) (4.9 ± 0.7 to 4.1 ± 0.6; P < 0.01). The decrease in visceral fat correlated with the decrease in fasting insulin (R² = 0.40; P < 0.05). No significant changes were observed in any parameter in lean participants except a small increase in lean body mass (LBM). Thus, a controlled aerobic exercise program, without weight loss, reduced hepatic and visceral fat accumulation, and decreased insulin resistance in obese adolescents.     

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.     

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.     

High visceral fat mass and high liver fat are associated with resistance to lifestyle intervention

Objective: High visceral adipose tissue (VAT) and high liver fat (LF) are associated with the metabolic syndrome and diabetes. We studied changes in these two fat depots during weight loss and analyzed whether VAT and LF at baseline predict the response to lifestyle intervention. Research Methods and Procedures: One hundred twelve subjects (48 men and 64 women; age, 46 ± 11 years; BMI, 29.2 ± 4.4 kg/m²) were studied after a follow up‐time of 264 ± 60 (SD) days. Insulin sensitivity was estimated from the oral glucose tolerance test. Body fat depots were quantified using magnetic resonance imaging and spectroscopy. Results: Cross‐sectionally high VAT (r = ?0.22, p = 0.02) and high LF (r = ?0.36, p < 0.0001) were independently associated with low insulin sensitivity. With intervention, BMI (?3.0%), VAT (?12.0%), and LF (?33.0%) were reduced (all p < 0.001). Insulin sensitivity was improved (+17%, p < 0.01). The changes in BMI (r = ?0.41), VAT (r = ?0.28), and LF (r = ?0.39) were associated with the increase in insulin sensitivity (all p < 0.01). High VAT (r = ?0.28, p = 0.01) and high LF (r = ?0.38, p < 0.01) at baseline were associated with a lesser increase in insulin sensitivity. Discussion: Baseline values and changes in BMI, VAT, and LF are related to changes in insulin sensitivity during lifestyle intervention. Subjects with high VAT and LF have a lower chance of profiting from lifestyle intervention and may require intensified lifestyle prevention strategies or even pharmacological approaches to improve insulin sensitivity.     

Adipose tissue R2* signal is increased in subjects with obesity: A preliminary MRI study

Objective : Circulating and adipose tissue markers of iron overload are increased in subjects with obesity. The aim is to study iron signals in adipose tissue. Methods: Adipose tissue R2* values and hepatic iron concentration (HIC) were evaluated using magnetic resonance imaging (MRI) in 23 middle‐aged subjects with obesity and 20 subjects without obesity. Results: Subcutaneous (SAT) and visceral adipose tissue (VAT) R2* were increased in subjects with obesity (P = 0.004 and P = 0.008) and correlated significantly and positively with HIC in all subjects. Strikingly, most of the associations of liver iron with metabolic parameters were replicated with SAT and VAT R2*. BMI, waist circumference, fat mass, HOMA value, and C‐reactive protein positively correlated with HIC and SAT and VAT R2*. BMI or percent fat mass (but not insulin resistance) contributed independently to 26.8‐34.8% of the variance in sex‐ and age‐adjusted SAT or VAT R2* (β > 0.40, P < 0.005). Within subjects with obesity, total cholesterol independently contributed to 14.8% of sex‐ and age‐adjusted VAT iron variance (β = 0.50, P = 0.025). Conclusions: Increased R2* in adipose tissue, which might indicate iron content, runs in parallel to liver iron stores of subjects with obesity. VAT iron seems also associated with serum cholesterol within subjects with obesity.     

Consequences of obstructive sleep apnea on metabolic profile: A Population‐Based Survey

Objective:

Epidemiologic studies that control for potential confounders are needed to assess the independent associations of obstructive sleep apnea (OSA) with metabolic abnormalities. The aim of our study was to evaluate the associations of OSA with metabolic abnormalities among the adult population of Sao Paulo, Brazil.

Design and Methods:

Questionnaires were applied face‐to‐face, full night polysomnography (PSG) was performed, and blood samples were collected in a population‐based survey in Sao Paulo, Brazil, adopting a probabilistic three‐stage cluster sample method. The metabolic profile included fasting glucose, insulin, and lipid levels. The hepatic insulin resistance index was assessed by the homeostasis model assessment‐estimated insulin resistance (HOMA_IR).

Results:

A total of 1,042 volunteers underwent PSG. Mild OSA and moderate to severe OSA comprised 21.2% and 16.7% of the population, respectively. Subjects with severe to moderate OSA were older, more obese, had higher fasting glucose, HOMA_IR, and triglycerides (TG) levels than did the mild and non‐OSA group (P < 0.001). Multivariate regression analyses showed that an apnea‐hypopnea index (AHI) ≥15 and a time of oxy‐hemoglobin saturation <90% were independently associated with impaired fasting glucose, elevated TG, and HOMA_IR.

Conclusions:

The results of this large cross‐sectional epidemiological study showed that the associations of OSA and metabolic abnormalities were independent of other risk factors.     

Determinants of insulin-resistant phenotypes in normal-weight and obese Black African women

Objective: Subsets of metabolically “healthy obese” and “at‐risk” normal‐weight individuals have been previously identified. The aim of this study was to explore the determinants of these phenotypes in black South African (SA) women. Methods and Procedures: From a total of 103 normal‐weight (BMI ≤ 25 kg/m²) and 122 obese (BMI ≥ 30 kg/m²) black SA women, body composition, fat distribution, blood pressure, fasting glucose levels, insulin resistance, and lipid profiles were measured. Questionnaires relating to family history, physical activity energy expenditure (PAEE), and socio‐demographic variables were administered. The subjects were classified as insulin sensitive or insulin resistant according to the homeostasis model assessment of insulin resistance (HOMA‐IR) (≥1.95 insulin resistant). Results: Our study showed that 22% of the normal‐weight women were insulin resistant and 38% of the obese women were insulin sensitive. Increased visceral adipose tissue (VAT) (P = 0.001) and decreased VAT/leg fat mass (P ≤ 0.001), independent of total body fatness, distinguished between the phenotypes. Moreover, the insulin‐sensitive women were of higher socioeconomic status, did more leisure and vigorous PAEE and were less likely to use injectable contraceptives. Using a regression model, body fat distribution, percent body fat, age, log leisure PAEE, and use of injected contraception accounted for 35% of the variance in HOMA‐IR in the normal‐weight women. In the obese women, 34% of the variance in HOMA‐IR was explained by the same variables, excluding PAEE. No differences in smoking status or family history of metabolic disease were found between the phenotypes. Discussion: Central fat distribution, total adiposity, socioeconomic status, leisure PAEE, and use of injectable contraceptives distinguished between insulin‐sensitive and insulin‐resistant black SA women.     

Relation of epicardial fat and alanine aminotransferase in subjects with increased visceral fat

Background: Increased visceral adipose tissue (VAT) is a risk factor for an unfavorable cardio‐metabolic profile and fatty liver. Individuals with human immunodeficiency virus (HIV) on highly active antiretroviral therapy (HAART) can be associated with metabolic syndrome (MS) and higher visceral fat. However, the potential link between cardiac adiposity, emerging index of visceral adiposity, and fatty liver is still unexplored. Objective: To evaluate whether echocardiographic epicardial adipose tissue, index of cardiac adiposity, could be related to serum alanine aminotransferase (ALT) and aspartate aminotransferase (AST) activity, surrogate markers of fatty liver, in HIV‐infected patients with (HIV+MS+) and without HAART‐associated MS (HIV+MS‐). Methods and Procedures: This was a cross‐sectional observational study on 57 HIV+MS+ patients, 52 HIV+MS? and 57 HIV‐negative subjects with MS (HIV?MS+), as control group. Epicardial fat thickness and intra‐abdominal VAT were obtained by echocardiography and magnetic resonance imaging (MRI), respectively. Serum ALT and AST activity, plasma adiponectin levels, and MS biochemical parameters were measured. Results: Echocardiographic epicardial fat thickness was correlated with MRI‐VAT (r = 0.83, P < 0.01), AST/ALT ratio (r = 0.77, P < 0.01), ALT (r = 0.58, P < 0.01), AST (r = 0.56, P < 0.01), and adiponectin (r = ?0.45, P < 0.01) in HIV+MS+. MRI‐VAT and AST/ALT ratio were the best correlates of epicardial fat thickness (r ² = 0.45, P < 0.01). Discussion: This study shows for the first time a clear relationship of epicardial fat, index of cardiac and visceral adiposity, and serum ALT and AST activity, markers of fatty liver, in subjects with increased visceral adiposity and cardio‐metabolic risk. This correlation seems to be independent of overall adiposity and rather function of excess visceral adiposity.     

Pleiotropic Effects of Genes for Insulin Resistance on Adiposity in Baboons

Objective: Previous research has suggested a genetic contribution to the development of insulin resistance and obesity. We hypothesized that the same genes influencing insulin resistance might also contribute to the variation in adiposity. Research Methods and Procedures: A total of 601 (200 male, 401 female) adult baboons (Papio hamadryas) from nine families with pedigrees ranging in size from 43 to 121 were used in this study. Plasma insulin, glucose, C‐peptide, and adiponectin were analyzed, and homeostasis model assessment of insulin resistance (HOMA IR) was calculated. Fat biopsies were collected from omental fat tissue, and triglyceride concentration per gram of fat tissue was determined. Body weight and length were measured, and BMI was derived. Univariate and bivariate quantitative genetic analyses were performed using SOLAR. Results: Insulin, glucose, C‐peptide, and adiponectin levels, HOMA IR, triglyceride concentration of fat tissue, body weight, and BMI were all found to be significantly heritable, with heritabilities ranging from 0.15 to 0.80. Positive genetic correlations (r_Gs) were observed for HOMA IR with C‐peptide (r_G = 0.88 ± 0.10, p = 0.01), triglyceride concentration in fat tissue (r_G = 0.86 ± 0.33, p = 0.02), weight (r_G = 0.50 ± 0.20, p = 0.03), and BMI (r_G = 0.64 ± 0.22, p = 0.02). Discussion: These results suggest that a set of genes contributing to insulin resistance also influence general and central adiposity phenotypes. Further genetic research in a larger sample size is needed to identify the common genes that constitute the genetic basis for the development of insulin resistance and obesity.     

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.