Proteomic Analysis in Diabetic Cardiomyopathy using Bioinformatics Approach

• Published in: Bioinformatics and biology insights Vol. 2008; no. 2; pp. BBI.S313 - 4
• Main Authors: Rao, Allam Appa, Thota, Hanuman, Adapala, Ramamurthy, Changalasetty, Suresh Babu, Gumpeny, Ramachandra Sridhar, Akula, Annapurna, Thota, Lalitha Saroja, Challa, Siva Reddy, Rao, M.R. Narasinga, Das, Undurti N.
• Format: Journal Article
• Language: English
• Published: London, England SAGE Publishing 01.01.2008; SAGE Publications
• Subjects: calcium; cardiomyopathy; metallomatrix proteins; diabetes; advanced glycation end products; protein kinase C
• ISSN: 1177-9322; 1177-9322
• DOI: 10.4137/BBI.S313

Allam Appa Rao1, Hanuman Thota2, Ramamurthy Adapala1, Suresh Babu Changalasetty2, Ramachandra Sridhar Gumpeny3, Annapurna Akula4, Lalitha Saroja Thota5, Siva Reddy Challa, M.R. Narasinga Rao1 and Undurti N. Das6 1Department of Computer science and Systems Engineering, Andhra University, Visakhapatnam-530003, India. 2Department of Computer sciences and Engineering, Acharya Nagarjuna University, Guntur-522510, India. 3Endocrine and Diabetes center,15-12-16 Krishnanagar, Visakhapatnam-530002, India. 4Department of Pharmaceutical Sciences, Andhra University, Visakhapatnam-530003, India. 5Department of Computer science, Annamailai University, Annamalai Nagar-608002, India. 6UND Life Sciences, 13800 Fairhill Road, #321, Shaker Heights, OH 44120, U.S.A. Abstract: Diabetic cardiomyopathy is a distinct clinical entity that produces asymptomatic heart failure in diabetic patients without evidence of coronary artery disease and hypertension. Abnormalities in diabetic cardiomyopathy include: myocardial hypertrophy, impairment of contractile proteins, accumulation of extracellular matrix proteins, formation of advanced glycation end products, and decreased left ventricular compliance. These abnormalities lead to the most common clinical presentation of diabetic cardiomyopathy in the form of diastolic dysfunction. We evaluated the role of various proteins that are likely to be involved in diabetic cardiomyopathy by employing multiple sequence alignment using ClustalW tool and constructed a Phylogenetic tree using functional protein sequences extracted from NCBI. Phylogenetic tree was constructed using Neighbour-Joining Algorithm in bioinformatics approach. These results suggest a causal relationship between altered calcium homeostasis and diabetic cardiomyopathy that implies that efforts directed to normalize calcium homeostasis could form a novel therapeutic approach.