Subepicardial adipose tissue thickness and its relation with anthropometric and clinical parameters in pubertal obese children

Epicardial adipose tissue and signs of metabolic syndrome in children

PURPOSE

The aim of this study was to investigate the possible correlation between epicardial adipose tissue (EAT) thickness and predictive parameters for metabolic syndrome (MS) in overweight/obese prepubertal children.

METHODS

73 prepubertal children, average age of 8.22 years, with no endocrine or syndromic causes of obesity or under drug therapy for chronic disease were enrolled. Weight, height, body circumferences and skinfolds' thickness were measured. BMI, BMI z score (z-BMI) and waist-to-height ratio (WtHR) were calculated. Standard MS-related laboratory parameters were assessed. Finally, all children underwent echocardiographic measurement of EAT.

RESULTS

A positive correlation between EAT and z-BMI was found only among overweight/obese children (r = 0.43, p = 0.001). In particular, data showed that 89 % of our sample had a waist (W) >90th percentile. Statistical differences in diastolic blood pressure (DBP; p < 0.01) and EAT (p = 0.02) were observed on comparing W <90th percentile vs W >90th percentile patients. Besides, in patients with W >90th percentile and family history of risk factors for MS, the value of EAT correlated positively with z-BMI, W, WtHR, triglycerides (Tg), insulin and homeostatic model assessment of insulin resistance and negatively with HDL.

CONCLUSIONS

The EAT and the markers of MS probably share the same pathogenetic factors. Further studies might elucidate whether EAT deserves to be included among the diagnostic factors of MS.

Associations of Different Adipose Tissue Depots with Insulin Resistance: A Systematic Review and Meta-analysis of Observational Studies

Fat distribution is strongly associated with insulin resistance, a risk factor for type 2 diabetes and cardiovascular diseases. However, associations of different adipose tissue depots or/and obesity indices with insulin resistance have not been systematically evaluated. In this study we examined associations of different adipose tissue depots/obesity indices with insulin resistance, as measured by homeostatic model assessment of insulin resistance (HOMA-IR) in observational studies. A total of 40 studies with 56 populations and 29 adipose tissue depots/obesity indices were included in the meta-analysis. There were strong correlation between HOMA-IR and visceral fat mass (r = 0.570, 95% confidence interval(CI): 0.424~0.687), total fat mass (r = 0.492, 95%CI: 0.407~0.570), body mass index (r = 0.482, 95%CI: 0.445~0.518) and waist circumference (r = 0.466, 95%CI: 0.432~0.500), except lower extremity fat (r = 0.088, 95%CI: -0.116~0.285). Sample size, diabetic status, gender, mean of body mass index, and race contributed to heterogeneity of these associations. This study showed a positive correlation between insulin resistance and most adipose tissue depots/obesity indices, and the strongest association is for visceral fat mass.