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Biochemistry Research International
Volume 2013 (2013), Article ID 189430, 6 pages
Research Article

Risk of Cardiovascular Diseases in Diabetes Mellitus and Serum Concentration of Asymmetrical Dimethylarginine

1Department of Biochemistry, Sree Narayana Institute of Medical Sciences, Chalakka, Ernakulam, Kerala, India
2Department of Biochemistry, ACPM Medical College, Dhule, Maharashtra, India
3Department of Biochemistry, Panjabrao Deshmukh Medical College, Amravati, Maharashtra, India

Received 2 July 2013; Revised 25 August 2013; Accepted 25 August 2013

Academic Editor: R. J. Linhardt

Copyright © 2013 Seema L. Jawalekar et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Introduction. Asymmetric dimethylarginine (ADMA) is a nonselective nitric oxide (NO) synthase inhibitor associated with cardiovascular and metabolic disorders. ADMA plays an important role in the regulation of vascular tone by acting as an endogenous inhibitor of NO synthesis. Objectives. This study aimed to investigate ADMA with respect to diabetes and its clinical relevance as an independent predictor of CAD (Coronary Artery Disease). Methodology. The present case control study includes two hundred and forty patients selected randomly. Serum ADMA was analyzed by using enzyme immunoassay for the quantitative determination of endogenous ADMA, and serum nitric oxide was estimated by the method of Cortes. Results. Elevated NO level levels was a strong predictor and significantly ( : 9.86, ) associated with occurrence of CAD. Increased ADMA level was found to be another strong predictor and associated significantly ( : 8.02, ) with CAD. On intra group analysis, the relationship between ADMA and NO in diseased group, is significant negative correlation ( ). (0.001) was found between ADMA and NO. Conclusion. ADMA level was found to be one of the strong predictors for CAD. ADMA is an emerging independent risk marker for future CVD (cardiovascular disease) events.