Uric acid as a future biomarker in diagnosing metabolic syndrome patients.
Objectives: To determine the possible correlation between raised serum uric acid and various components of metabolic syndrome (Waist circumference, serum triglyceride, plasma HDL-C). Study Design: Descriptive case control. Setting: Army Medical College laboratory, Military Hospital, Rawalpindi. Period: One year (November 2014 to October 2015). Material and Methods: Total of 100 subjects were enrolled in this study. WHO criteria were applied for identifying the patients of metabolic syndrome. Fasting plasma glucose, lipid profile and serum uric acid levels were measured by using colorimetric enzymatic method. The formula of Homeostasis Model Assessment-Insulin Resistance (HOMA-IR) was applied to calculate Insulin resistance. Collected data was analyzed by using SPSS- Window version-17 for statistical analysis. Results: Serum uric acid levels were turned out to be high in metabolic syndrome patients (cases= 6.1±1.3mg/dL) when compared with controls (having no symptoms of MetS=3.6±1.2; p<0.001). Uric acid showed a statistically significant positive association with waist circumference (WC=r-value:0.250; p-value:0.000) and serum triglyceride (TG=r-value:0.341; p-value:0.000). Negative correlation had been found between plasma high-density lipoprotein-cholesterol (HDL-C=r-value: -0.173; p-value:<0.01) with uric acid levels. Conclusion: Serum uric acid levels show a significant association with components of metabolic syndrome making it a powerful biomarker of metabolic syndrome and its various cardiometabolic complications.