title: Association of serum uric acid and metabolic syndrome in type 2 diabetes.
abstract: OBJECTIVE
  The relationship between elevated serum uric acid level and metabolic syndrome (MS) has been debated. There is no data concerning this relation in Iranian population-based studies. The aim of this study was to determine the prevalence of hyperuricamia and its association with MS in type 2 diabetes mellitus (DM).
  
  
  METHODS
  This was a cross- sectional study in 1978 diabetic patients. Hyperuricamia was defined as uric acid ≥ 7 and ≥ 5.5 mg/dl for men and women respectively. Diagnosis of metabolic syndrome was based on ATPIII criteria. Clinical and biochemical parameters in hyperuricaemic and normouricaemic patients compared with other.
  
  
  RESULTS
  The prevalence of hyperuricaemia and metabolic syndrome was 12.7% and 65.5% respectively. The prevalence of MS significantly increased in the highest quartile of uric acid levels compared with lowest quartile (74.4% vs 55.9%, p<0.001). Serum uric acid had positive association with cholesterol, triglyceride, non-HDL cholesterol and a negative association with fasting blood sugar (FBS), glycosylated hemoglobin (HbA1C) and HDL cholesterol. Possible independent biochemical predictors of hyperuricamia were cholesterol, triglyceride, creatnine and FBS.
  
  
  CONCLUSIONS
  The prevalence of MS and its components increases with increasing levels of uric acid in type 2 diabetes. Regular assessment of uric acid could give information for predicting of MS and prevention of atherosclerosis in type 2 diabetes.
authors.forename: Shokoufeh
authors.initials: S
authors.lastname: Bonakdaran
authors.affiliation: Endocrine Research Center, Ghaem Hospital, Ahmadabad Street, Mashhad, Iran. BonakdaranSh@mums.ac.ir.
authors.forename: Banafsheh
authors.initials: B
authors.lastname: Kharaqani
mesh_terms: D000328:Adult; D050197:Atherosclerosis / Q000097:blood / Q000453:epidemiology* / Q000517:prevention & control; D015415:Biomarkers / Q000097:blood; D001786:Blood Glucose / Q000378:metabolism; D008076:Cholesterol, HDL / Q000097:blood; D008078:Cholesterol, LDL / Q000097:blood; D003430:Cross-Sectional Studies; D003924:Diabetes Mellitus, Type 2 / Q000097:blood* / Q000150:complications / Q000453:epidemiology; D005260:Female; D006442:Glycated Hemoglobin / Q000378:metabolism; D006801:Humans; D033461:Hyperuricemia / Q000097:blood / Q000150:complications / Q000453:epidemiology*; D007492:Iran / Q000453:epidemiology; D008297:Male; D024821:Metabolic Syndrome / Q000097:blood / Q000453:epidemiology*; D008875:Middle Aged; D011237:Predictive Value of Tests; D015995:Prevalence; D012307:Risk Factors; D014280:Triglycerides / Q000097:blood; D014527:Uric Acid / Q000097:blood*
chemical_list: D015415:Biomarkers; D001786:Blood Glucose; D008076:Cholesterol, HDL; D008078:Cholesterol, LDL; D006442:Glycated Hemoglobin; D014280:Triglycerides; D014527:Uric Acid; C517652:hemoglobin A1c protein, human