Proteomic analysis in diabetic cardiomyopathy using bioinformatics approach.
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.
Rao
Allam Appa
AA
Department of Computer science and Systems Engineering, Andhra University, Visakhapatnam 530003, India.
Thota
Hanuman
H
Adapala
Ramamurthy
R
Changalasetty
Suresh Babu
SB
Gumpeny
Ramachandra Sridhar
RS
Akula
Annapurna
A
Thota
Lalitha Saroja
LS
Challa
Siva Reddy
SR
Rao
M R Narasinga
MR
Das
Undurti N
UN