Literature DB >> 21046418

The relationship between uric acid and metabolic syndrome in normal glucose tolerance and normal fasting glucose subjects.

Reza Meshkani1, Mehryar Zargari, Bagher Larijani.   

Abstract

Elevated serum uric acid (SUA) concentrations have been suggested to associate with metabolic syndrome (MetS) and its components. However, limited information is available regarding the relationship between SUA and MetS in subjects with normal glucose levels. A total of 501 subjects with normal fasting glucose and normal glucose tolerance were included in the study. Anthropometrical and biochemical parameters were examined using standard methods. The updated NECP criteria were used to define the MetS. Values of SUA above the sex-specific percentile 75 were used to define hyperuricemia. The prevalence of general and abdominal obesity, hypertension, hypertriglyceridemia, low-HDL, smokers, MetS and insulin resistance was significantly greater in the fourth SUA quartile. Multiple regression indicated that SUA was independently predicted by BMI, triglyceride and 2 h glucose in women, and BMI, triglyceride, 2 h glucose and cholesterol in men. Logistic regression analysis showed that the obesity, hypertriglyceridemia, MetS and insulin resistance were independent determinants of hyperuricemia in women. In men, hyperuricemia was associated with the obesity, hypertriglyceridemia and hypercholesterolemia. Factor analysis yielded three factors interpreted as weight/waist, blood pressure and lipid/glucose. Including SUA in the model did not affect total variance of factor analysis. Our results indicate that SUA is associated with MetS and its components even in subjects with normal glucose levels. General obesity was the major determinant of hyperuricemia in this population. The data from this study do not show the contribution of SUA as an additional component of the MetS.

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Year:  2010        PMID: 21046418     DOI: 10.1007/s00592-010-0231-3

Source DB:  PubMed          Journal:  Acta Diabetol        ISSN: 0940-5429            Impact factor:   4.280


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