A Comparative Study of Serum non-HDL Cholesterol, CRP and Uric Acid Levels in Metabolic Syndrome
Journal Title: Scholars International Journal of Biochemistry - Year 2018, Vol 1, Issue 3
Abstract
The study aims to compare between serum non-HDL Cholesterol, CRP and Uric Acid Levels in Metabolic Syndrome. Fifty subjects of metabolic syndrome (MetS) (30 women, 20 men) who confirmed by the ATP III diagnosis criteria and have no any medical treatment were included in the study. Twenty healthy subjects constituted as the control group (13 women, 7 men). Blood samples were obtained after overnight fasting by using standard sampling procedure and measured fasting blood sugar, lipid profile, serum uric acid and CRP levels. Non–HDL-C was calculated by a formula (Non HDL-C = TC - HDL-C), C-reactive protein was measured using a commercially available ELISA Kit (Ray Biotech, Inc.) Uric acid level was determined using enzymatic (urease) method. Blood sugar and lipid profile were measured by using standard colorimetric commercial kit. Mean, Standard deviation and unpaired t- test (p value) were applied. A p value < 0.05 was considered as statistically significant. Anthropometric variables (blood pressure, BMI and WC) highly significantly (p<0.0001) increased except age (p=0.37 NS) in MetS (n=50) patients than control (n=30) groups. Lipid profile including TC, TG, LDL-C and VLDL-C showed statistically significantly raised (p<0.0001) whereas HDL-C observed decreased (p<0.0001) in same manners. In case N-HDL-C, CRP and serum uric acid levels were found statistical significantly elevated (p<0.0001) in MetS on comparison with control group. Non-HDL-C may be an independent risk factor for cardiovascular events in MetS. Monitoring HDL-C concentrations may reduce the cardiovascular risk. Therefore, non-HDL-C and CRP might be useful markers for predicting cardiovascular events in both high-risk and healthy individuals. Serum Uric Acid levels were significantly higher with MetS samples. Uric acid and non HDL cholesterol can be considered as a component of MetS.
Authors and Affiliations
Dr. Savita Rathore, Dr. Khushbu Soni
Keywords
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