Abstract 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.

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