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Arch Med Res. 2012 Feb;43(2):145-53. doi: 10.1016/j.arcmed.2012.02.004. Epub 2012 Feb 26.

Adiponectin level and gene variability are obesity and metabolic syndrome markers in a young population.

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1
Department of Medical Chemistry, Biochemistry and Clinical Chemistry School of Medicine, University Hospital Centre, University of Zagreb, Zagreb, Croatia.

Abstract

BACKGROUND AND AIMS:

Human obesity is accepted as an important risk factor for development of MetS. Adiponectin is linked to central obesity and ADIPOQ variants are promising markers for understanding the genetic base of obesity-related disorders. We performed analyses of adiponectin concentrations and ADIPOQ variants and tested their associations with obesity and MetS in young subjects of Croatian origin.

METHODS:

Biochemical and anthropometric parameters of MetS were obtained for 149 unrelated subjects. Adiponectin levels were measured by ELISA assay. ADIPOQ -11391G>A and -11377C>G were genotyped by real-time PCR.

RESULTS:

BMI and WC, TG and GLUC showed inverse correlation, whereas HDL-C showed a positive correlation with adiponectin concentrations. For central obesity, we found association with -11377C>G and with -11391G>A polymorphisms. ADIPOQ -11377GG and -11391GA significantly increased the risk for the development of central obesity (OR 5.57 and OR 3.37, respectively). Significant association was found between -11391A, -11377G allele and haplotype and increased TG. -11377C>G and -11391G>A variant were significantly associated with the incidence of MetS. C>G mutation at position -11377 significantly increased the risk of MetS development (OR = 2.93). Compared with the -11391G homozygotes, carriers of the A allele had a significantly increased risk for the development of MetS (OR = 3.15). The test of overall association showed a statistically significant correlation of MetS with -11377C>G and -11391G>A haplotypes (p = 0.008).

CONCLUSIONS:

Analysis of adiponectin concentration and ADIPOQ -11391G>A and -11377C>G gene variants may be clinically meaningful for estimation of MetS risk in a young population.

PMID:
22374249
DOI:
10.1016/j.arcmed.2012.02.004
[Indexed for MEDLINE]
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