A demographic study on relation between uric acid and diabetes parameters in the Chhattisgarh State of India

Objective: Epidemiological evidence suggest that conflicting data exist for the relation between serum uric acid (SUA) and various diabetes-associated parameters. Therefore, measurement of SUA levels could play a valuable role as predictor marker in early type 2 diabetics as well as a potent antioxi...

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Bibliographic Details
Published in:Advances in human biology 2017-09, Vol.7 (3), p.124-129
Main Authors: Thakur, Parul, Kumar, Ashwini, Patra, Pradeep, Kumar, Awanish
Format: Article
Language:English
Subjects:
Analysis
Antioxidants (Nutrients)
Biomarker
Care and treatment
Demographic aspects
Diabetes therapy
Diabetics
EDTA
Epidemiology
Health aspects
Medical research
Purines
Sapropterin dihydrochloride
serum
Type 2 diabetes
type 2 diabetes mellitus
Uric acid
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Summary:Objective: Epidemiological evidence suggest that conflicting data exist for the relation between serum uric acid (SUA) and various diabetes-associated parameters. Therefore, measurement of SUA levels could play a valuable role as predictor marker in early type 2 diabetics as well as a potent antioxidant therapeutic. This work is a small demographic study in the patients of Chhattisgarh to find a relation between the SUA level and diabetes parameters in diabetics and controls. Materials and Methods: This was a small sample set case–control study. Patients were divided into two groups, namely, control (n = 25) and type 2 diabetics (n = 30). Biochemical estimation of parameters was performed using commercially available enzymatic kits. Results: Plasma glucose, serum triglyceride, glycated haemoglobin and creatinine were higher in diabetic patients than in controls. SUA showed a significant lower level in test patients (2.97 ± 0.22) as compared to control (4.35 ± 0.64). A negative correlation of r = −0.8159 was obtained between SUA and plasma glucose levels. Conclusions: Results suggest that variation in uric acid (UA) levels from normal to pre-diabetes and diabetes condition could be an important biomarker. Further validations may pave the way for UA measurement as a diagnostic and prognostic marker in type 2 diabetes mellitus.
ISSN:2321-8568
2348-4691
DOI:10.4103/AIHB.AIHB_34_17