11 research outputs found
Intra-abdominal fat is a major determinant of the National Cholesterol Education Program Adult Treatment Panel III Criteria for the Metabolic Syndrome
The underlying pathophysiology of the metabolic
syndrome is the subject of debate, with both insulin
resistance and obesity considered as important
factors. We evaluated the differential effects of insulin
resistance and central body fat distribution in
determining the metabolic syndrome as defined by
the National Cholesterol Education Program (NCEP)
Adult Treatment Panel III. In addition, we determined
which NCEP criteria were associated with insulin
resistance and central adiposity. The subjects,
218 healthy men (n = 89) and women (n = 129)
with a broad range of age (26–75 years) and BMI
(18.4–46.8 kg/m2), underwent quantification of the
insulin sensitivity index (Si) and intra-abdominal fat
(IAF) and subcutaneous fat (SCF) areas. The metabolic
syndrome was present in 34 (15.6%) of subjects
who had a lower Si [median: 3.13 vs. 6.09 ×
× 10–5 min–1/(pmol/l)] and higher IAF (166.3 vs. 79.1 cm2)
and SCF (285.1 vs. 179.8 cm2) areas compared with
subjects without the syndrome (P < 0.001). Multivariate
models including Si, IAF, and SCF demonstrated
that each parameter was associated with the
syndrome. However, IAF was independently associated
with all five of the metabolic syndrome criteria.
In multivariable models containing the criteria
as covariates, waist circumference and triglyceride
levels were independently associated with Si and IAF
and SCF areas (P < 0.001). Although insulin resistance
and central body fat are both associated with the
metabolic syndrome, IAF is independently associated
with all of the criteria, suggesting that it may have
a pathophysiological role. Of the NCEP criteria, waist
circumference and triglycerides may best identify insulin
resistance and visceral adiposity in individuals
with a fasting plasma glucose < 6.4 mmol/l
Recommended from our members
The concurrent accumulation of intra-abdominal and subcutaneous fat explains the association between insulin resistance and plasma leptin concentrations : distinct metabolic effects of two fat compartments.
Obesity is associated with insulin resistance, particularly when body fat has a central distribution. However, insulin resistance also frequently occurs in apparently lean individuals. It has been proposed that these lean insulin-resistant individuals have greater amounts of body fat than lean insulin-sensitive subjects. Alternatively, their body fat distribution may be different. Obesity is associated with elevated plasma leptin levels, but some studies have suggested that insulin sensitivity is an additional determinant of circulating leptin concentrations. To examine how body fat distribution contributes to insulin sensitivity and how these variables are related to leptin levels, we studied 174 individuals (73 men, 101 women), a priori classified as lean insulin-sensitive (LIS, n = 56), lean insulin-resistant (LIR, n = 61), and obese insulin-resistant (OIR, n = 57) based on their BMI and insulin sensitivity index (S(I)). Whereas the BMI of the two lean groups did not differ, the S(I) of the LIR subjects was less than half that of the LIS group. The subcutaneous and intra-abdominal fat areas, determined by computed tomography, were 45 and 70% greater in the LIR subjects (P < 0.001) and 2.5- and 3-fold greater in the OIR group, as compared with the LIS group. Fasting plasma leptin levels were moderately increased in LIR subjects (10.8 +/- 7.1 vs. 8.1 +/- 6.4 ng/ml in LIS subjects; P < 0.001) and doubled in OIR subjects (21.9 +/- 15.5 ng/ml; P < 0.001). Because of the confounding effect of body fat, we examined the relationships between adiposity, insulin sensitivity, and leptin concentrations by multiple regression analysis. Intra-abdominal fat was the best variable predicting insulin sensitivity in both genders and explained 54% of the variance in S(I). This inverse relationship was nonlinear (r = -0.688). On the other hand, in both genders, fasting leptin levels were strongly associated with subcutaneous fat area (r = 0.760) but not with intra-abdominal fat. In line with these analyses, when LIS and LIR subjects were matched for subcutaneous fat area, age, and gender, they had similar leptin levels, whereas their intra-abdominal fat and insulin sensitivity remained different. Thus, accumulation of intra-abdominal fat correlates with insulin resistance, whereas subcutaneous fat deposition correlates with circulating leptin levels. We conclude that the concurrent increase in these two metabolically distinct fat compartments is a major explanation for the association between insulin resistance and elevated circulating leptin concentrations in lean and obese subjects