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Updated: Jun 19, 2026
Comparative Proteomic Analysis of Whole Kidney, Medulla, and Cortical Tubules in Diabetic Pathogenesis of Kidney Injury in Mice
Published on: May 2, 2025
Proteomic analysis in diabetic cardiomyopathy using bioinformatics approach
Allam Appa Rao1, Hanuman Thota, Ramamurthy Adapala
1Department of Computer science and Systems Engineering, Andhra University, Visakhapatnam 530003, India.
Insights
Diabetic cardiomyopathy, a heart condition in diabetes patients, involves diastolic dysfunction. Altered calcium homeostasis is implicated, suggesting it as a potential therapeutic target.
Area of Science:
- Biochemistry
- Cardiology
- Bioinformatics
Background:
- Diabetic cardiomyopathy is a distinct clinical entity causing asymptomatic heart failure in diabetic patients.
- Key abnormalities include myocardial hypertrophy, impaired contractile proteins, extracellular matrix accumulation, advanced glycation end products, and reduced left ventricular compliance.
- The most common presentation is diastolic dysfunction.
Purpose of the Study:
- To investigate the role of various proteins in diabetic cardiomyopathy.
- To explore potential therapeutic targets by analyzing protein interactions and pathways.
Main Methods:
- Utilized ClustalW for multiple sequence alignment of protein sequences.
- Constructed a phylogenetic tree using functional protein sequences from NCBI.
- Employed the Neighbour-Joining Algorithm for phylogenetic analysis.
Main Results:
- Phylogenetic analysis revealed insights into protein alterations in diabetic cardiomyopathy.
- Identified a potential causal relationship between altered calcium homeostasis and the condition.
- Protein sequence analysis provided a basis for understanding molecular mechanisms.
Conclusions:
- Altered calcium homeostasis is strongly suggested to be causally linked to diabetic cardiomyopathy.
- Normalizing calcium homeostasis presents a novel therapeutic strategy for diabetic cardiomyopathy.
- Bioinformatic approaches can elucidate complex disease mechanisms.
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.
