Charmaine S. Tam

Soft drink consumption and excess weight gain in Australian school students: results from the Nepean study.

We studied the relation between soft drink/cordial (a sweet, flavoured, concentrated syrup that is mixed with water to taste), fruit juice/drink and milk consumption in mid-childhood, and body mass index (BMI) status in early adolescence in a contemporary Australian cohort. In 1996/7, 268 children (136 males) were recruited from western Sydney at baseline (mean±s.d.: 7.7±0.6 years), and at follow-up 5 years later (13.0±0.2 years). Height and weight were measured at both time periods and overweight and obesity defined using the International Obesity TaskForce criteria. Beverage consumption was calculated from a 3-day food record at baseline. Median carbohydrate intake from soft drink/cordial was 10 g higher (P=0.002) per day in children who were overweight/obese at follow-up compared to those who had an acceptable BMI at both baseline and follow-up. Intakes of soft drink/cordial in mid-childhood, but not fruit juice/fruit drink and milk, were associated with excess weight gain in early adolescence.

Short-term overfeeding may induce peripheral insulin resistance without altering subcutaneous adipose tissue macrophages in humans.

OBJECTIVE Chronic low-grade inflammation is a feature of obesity and is postulated to be causal in the development of insulin resistance and type 2 diabetes. The aim of this study was to assess whether overfeeding induces peripheral insulin resistance in lean and overweight humans, and, if so, whether it is associated with increased systemic and adipose tissue inflammation. RESEARCH DESIGN AND METHODS Thirty-six healthy individuals undertook 28 days of overfeeding by +1,250 kcal/day (45% fat). Weight, body composition, insulin sensitivity (hyperinsulinemic-euglycemic clamp), serum and gene expression of inflammation markers, immune cell activation, fat cell size, macrophage and T-cell numbers in abdominal subcutaneous adipose tissue (flow cytometry and immunohistochemistry) were assessed at baseline and after 28 days. RESULTS Subjects gained 2.7 ± 1.6 kg (P < 0.001) and increased fat mass by 1.1 ± 1.6% (P < 0.001). Insulin sensitivity decreased by 11% from 54.6 ± 18.7 to 48.9 ± 15.7 μmol/(kg of FFM)/min (P = 0.01). There was a significant increase in circulating C-reactive protein (P = 0.002) and monocyte chemoattractant protein-1 (P = 0.01), but no change in interleukin-6 and intercellular adhesion molecule-1. There were no changes in fat cell size, the number of adipose tissue macrophages or T-cells, or inflammatory gene expression and no change in circulating immune cell number or expression of their surface activation markers after overfeeding. CONCLUSIONS Weight gain-induced insulin resistance was observed in the absence of a significant inflammatory state, suggesting that inflammation in subcutaneous adipose tissue occurs subsequent to peripheral insulin resistance in humans.

Inflammatory measures in children with obstructive sleep apnoea.

Aim:  To evaluate a range of inflammatory measures in children with obstructive sleep apnoea (OSA).

Defining insulin resistance from hyperinsulinemic-euglycemic clamps.

OBJECTIVE This study was designed to determine a cutoff point for identifying insulin resistance from hyperinsulinemic-euglycemic clamp studies performed at 120 mU/m2 ⋅ min in a white population and to generate equations from routinely measured clinic and blood variables for predicting clamp-derived glucose disposal rate (GDR), i.e., insulin sensitivity. RESEARCH DESIGN AND METHODS We assembled data from hyperinsulinemic-euglycemic clamps (120 mU/m2 ⋅ min insulin dose) performed at the Pennington Biomedical Research Center between 2001 and 2011. Subjects were divided into subjects with diabetes (n = 51) and subjects without diabetes (n = 116) by self-report and/or fasting glucose ≥126 mg/dL. RESULTS We found that 75% of individuals with a GDR <5.6 mg/kg fat-free mass (FFM) + 17.7 ⋅ min were truly insulin resistant. Cutoff values for GDRs normalized for body weight, body surface area, or FFM were 4.9 mg/kg ⋅ min, 212.2 mg/m2 ⋅ min, and 7.3 mg/kgFFM ⋅ min, respectively. Next, we used classification tree models to predict GDR from routinely measured clinical and biochemical variables. We found that individual insulin resistance could be estimated with good sensitivity (89%) and specificity (67%) from the homeostasis model assessment of insulin resistance (HOMA-IR) >5.9 or 2.8< HOMA-IR <5.9 with HDL <51 mg/dL. CONCLUSIONS We developed a cutoff for defining insulin resistance from hyperinsulinemic-euglycemic clamps. Moreover, we now provide classification trees for predicting insulin resistance from routinely measured clinical and biochemical markers. These findings extend the clamp from a research tool to providing a clinically meaningful message for participants in research studies, potentially providing greater opportunity for earlier recognition of insulin resistance.

Brown Adipose Tissue Mechanisms and Potential Therapeutic Targets

Obesity is a significant health challenge, with the latest projections estimating that there will be 2.16 billion overweight and 1.12 billion obese individuals globally by 2030. In addition to social stigmatization and impaired quality of life, obese people are faced with significantly increased risk of cardiovascular disease, type 2 diabetes mellitus, and a number of cancers. Weight gain results from a sustained imbalance between energy intake (calories consumed) and energy expenditure (calories burned), resulting in positive energy balance. To tip energy balance toward weight loss, not only should food intake be decreased, but increasing physical activity may help. It is important to realize, however, that the secular rises in obesity over the past 3 to 4 decades can be explained by both physiological and environmental drivers and a number of putative factors (Figure 1).1,2 At one level, the obesity epidemic is a classic gene-environment interaction in which the human genotype is susceptible to environmental influences that affect energy intake and expenditure, with the obesogenic environment being dominant. These environmental factors include the 2 obvious explanations, ie, reduced physical activity and increased energy intake from high-calorie food and drinks, with the latter likely being the dominant factor.3 However, other less studied factors have been implicated, including longer time spent awake, increased mean age of mothers at first birth, decreased prevalence of smoking, presence of environmental pollutants, ingestion of many novel medications, and reduction in the variability of seasonal ambient temperature owing to the presence of almost ubiquitous air conditioning.4 Fundamentally, the obesity epidemic is explained by a dysregulation of energy balance in our obesogenic environment. Understanding the cause of obesity requires the study of how genetic and environmental factors interact to produce long-term positive energy balance. Figure 1. The effects of genes and environment on adiposity. Effects …

Effect of 8 Weeks of Overfeeding on Ectopic Fat Deposition and Insulin Sensitivity: Testing the “Adipose Tissue Expandability” Hypothesis

OBJECTIVE The presence of large subcutaneous adipocytes in obesity has been proposed to be linked with insulin resistance and type 2 diabetes through the “adipose tissue expandability” hypothesis, which holds that large adipocytes have a limited capacity for expansion, forcing lipids to be stored in nonadipose ectopic depots (skeletal muscle, liver), where they interfere with insulin signaling. This hypothesis has, however, been largely formulated by cross-sectional findings and to date has not been prospectively demonstrated in the development of insulin resistance in humans. RESEARCH DESIGN AND METHODS Twenty-nine men (26.8 ± 5.4 years old; BMI 25.5 ± 2.3 kg/m2) were fed 40% more than their baseline requirement for 8 weeks. Before and after overfeeding, insulin sensitivity was determined using a two-step hyperinsulinemic-euglycemic clamp. Intrahepatic lipid (IHL) and intramyocellular lipid (IMCL) were measured by 1H-MRS and abdominal fat by MRI. Subcutaneous abdominal adipose and skeletal muscle tissues were collected to measure adipocyte size and markers of tissue inflammation. RESULTS Subjects gained 7.6 ± 2.1 kg (55% fat) and insulin sensitivity decreased 18% (P < 0.001) after overfeeding. IHL increased 46% from 1.5% to 2.2% (P = 0.002); however, IMCL did not change. There was no association between adipocyte size and ectopic lipid accumulation. Despite similar weight gain, subjects with smaller fat cells at baseline had a greater decrease in insulin sensitivity, which was linked with upregulated skeletal muscle tissue inflammation. CONCLUSIONS In experimental substantial weight gain, the presence of larger adipocytes did not promote ectopic lipid accumulation. In contrast, smaller fat cells were associated with a worsened metabolic response to overfeeding.

Structural equation modeling of sleep apnea, inflammation, and metabolic dysfunction in children.

Obstructive sleep apnea (OSA), often concomitant with obesity, increases the risk for the metabolic syndrome. One mechanism that may participate in this association is upregulation of inflammatory pathways. We used structural equation modeling to assess the interrelations between childhood obesity, OSA, inflammation, and metabolic dysfunction. One hundred and eighty‐four children (127 boys, mean age: 8.5 ± 4.1years) had height and weight measured, underwent overnight polysomnography and had fasting blood taken. The blood was analyzed for insulin, glucose, lipids, leptin, and cytokines [interferon (IFN)‐γ, granulocyte macrophage–colony stimulating factor, interleukin (IL)‐1β, IL‐2, IL‐4, IL‐6, IL‐8, IL‐10, IL‐12, tumor necrosis factor‐α]. Structural equation modeling (SEM) was used to evaluate associations between the outcomes of interest including hypoxia, arousal (related to respiratory and spontaneous), obesity, metabolic dysfunction, and inflammatory markers. Two cytokine factors and one metabolic factor were derived for the SEM. These factors provided good fit in the structural equation model (χ2/df = 2.855; comparative fit index = 0.90, root mean squared error of approximation = 0.10) and all factor loadings were significantly different from zero (P ≤ 0.01). Overall, our results indicate that while obesity (as measured by body mass index z‐score) has a major influence on the metabolic dysfunction associated with OSA, arousal indices, and cytokine markers may also influence this association. Our results support the hypothesis that OSA is a contributor to the mechanisms that link sleep, systemic inflammation and insulin resistance, and show that the interrelations may begin in childhood.

Low circulating adropin concentrations with obesity and aging correlate with risk factors for metabolic disease and increase after gastric bypass surgery in humans

CONTEXT Mouse studies suggest that adropin, a peptide hormone, is required for metabolic homeostasis and prevention of obesity-associated insulin resistance. Whether obesity and insulin resistance are associated with low plasma adropin levels in humans is not known. OBJECTIVES Our objective was to investigate the hypothesis that obesity and indicators of insulin resistance are associated with low adropin levels and determine whether weight loss regulates adropin levels. DESIGN AND PARTICIPANTS Plasma was obtained from 85 female [age 21-67 yr, body mass index (BMI) 19.4-71.5 kg/m2] and 45 male (age 18-70 yr, BMI 19.1-62.6 kg/m2) volunteers for other clinical studies. The impact of Roux-en-Y gastric bypass was investigated in 19 obese females (BMI 37-65 kg/m2) using samples collected at baseline and 1-12 months after surgery. RESULTS Adropin levels correlate negatively with BMI (r=-0.335, P<0.001) and age (r=-0.263, P=0.003). Age-adjusted adropin levels are higher in males [4.1 ng/ml; 95% confidence interval (CI)=3.6-4.6 ng/ml] than females (3.0 ng/ml; 95% CI=2.6-3.4 ng/ml) (P=0.001). In all subjects, lower age-adjusted adropin levels were observed in overweight (3.3 ng/ml; 95% CI=2.8-3.8 ng/ml, P=0.033) and obese (2.7 ng/ml; 95% CI=2.1-3.3 ng/ml, P=0.001) compared with healthy-weight subjects (4.1 ng/ml; 95% CI=3.6-4.5 ng/ml). This effect was gender specific (weight category×gender, P<0.001) and was observed in males only. Aging and diagnosis with two or more metabolic syndrome risk factors was associated with low adropin levels, irrespective of sex. Adropin concentrations increased after Roux-en-Y gastric bypass, peaking 3 months after surgery (P<0.01). CONCLUSIONS Although males exhibit higher adropin levels that are reduced by obesity, aging and markers of insulin resistance are associated with low plasma adropin irrespective of sex.

Adipose Tissue Remodeling in Children: The Link between Collagen Deposition and Age-Related Adipocyte Growth

CONTEXT Extracellular matrix (ECM) remodeling is essential for adipose tissue growth and expansion in high fat-fed mice, and there is evidence of fibrosis in adipose tissue in human obesity. OBJECTIVE The aim of the study was to explore the role of ECM remodeling in adipose tissue in healthy, growing children. RESEARCH DESIGN, SETTING, AND PARTICIPANTS: Abdominal sc adipose biopsies were obtained from 65 otherwise healthy children [57 boys; age, 5.3 ± 3.8 yr (mean ± sd)] having elective surgery (cross-sectional study). Twenty percent of the participants were classified as overweight/obese based on body mass index (BMI) z score. MAIN OUTCOME MEASURES We examined collagen (total and pericellular), HAM56+ macrophages, CD206+ M2 phenotype macrophages, and CD3+ T cells measured by immunohistochemistry and ECM gene expression markers. RESULTS Overweight children had significantly less total collagen compared to normal weight children (median, 3.4 vs. 9.1%; P = 0.001). However, collagen areas were not positive for COL6 and showed little evidence of collagen surrounding adipocytes. Fat cell size was negatively correlated with the percentage of total (r = -0.398; P = 0.003) and pericellular collagen (r = -0.462; P < 0.001) but positively correlated with HAM56+ macrophages (r = 0.541; P < 0.001). The percentage of total collagen was inversely associated with BMI z score (r = -0.345; P = 0.01) and age (r = -0.348; P = 0.005), with older (>11 yr old) children in the top BMI z tertile having less collagen (3.8%) than younger (2-5 yr old) children in the bottom BMI z tertile (12.6%). Adipose tissue in overweight children showed little evidence of crown-like structures or T cells. CONCLUSION In healthy, growing children, increased collagen in adipose tissue is associated with decreased fat cell size and BMI z score and increased M2+ phenotype macrophages, suggesting dynamic interaction between ECM remodeling and immune cells even at an early age.

Could the mechanisms of bariatric surgery hold the key for novel therapies?: report from a Pennington Scientific Symposium

Bariatric surgery is the most effective method for promoting dramatic and durable weight loss in morbidly obese subjects. Furthermore, type 2 diabetes is resolved in over 80% of patients. The mechanisms behind the amelioration in metabolic abnormalities are largely unknown but may be due to changes in energy metabolism, gut peptides and food preference. The goal of this meeting was to review the latest research to better understand the mechanisms behind the ‘magic’ of bariatric surgery. Replication of these effects in a non‐surgical manner remains one of the ultimate challenges for the treatment of obesity and diabetes. Promising data on energy metabolism, gastrointestinal physiology, hedonic response and food intake were reviewed and discussed.