Hanuman Thota

Publications (8)3.56 Total impact

• Source

  Available from: Undurti Das

  Article: Bioinformatics analysis of diabetic retinopathy using functional protein sequences.

  Allam Appa Rao, Hanuman Thota, Ramachandra Sridhar Gumpeny, Annapurna Akula, Suresh Babu Changalasetty, Siva Reddy Challa, Tejaswi Ravavarapu, Siva Prasad Akula, Ch Divakar, K Srinivas, Undurti N Das
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  ABSTRACT: Diabetic retinopathy is the leading cause of blindness among patients with diabetes mellitus. We evaluated the role of several proteins that are likely to be involved in diabetic retinopathy by employing multiple sequence alignment using ClustalW tool and constructed a phylogram tree using functional protein sequences extracted from NCBI. Phylogram was constructed using Neighbor-Joining Algorithm in bioinformatics approach. It was observed that aldose reductase and nitric oxide synthase are closely associated with diabetic retinopathy. It is likely that vascular endothelial growth factor, pro-inflammatory cytokines, advanced glycation end products, and adhesion molecules that also play a role in diabetic retinopathy may do so by modulating the activities of aldose reductase and nitric oxide synthase. These results imply that methods designed to normalize aldose reductase and nitric oxide synthase activities could be of significant benefit in the prevention and treatment of diabetic retinopathy.
  Medical Hypotheses 02/2008; 70(1):148-55. · 1.39 Impact Factor
• Conference Proceeding: Bioinformatics Aspects in Diabetic Neuropathy Using Functional Protein Sequences.

  Hanuman Thota, Sivaprasad Akula, Kunjum Nageswara Rao, Suresh Babu Changalsetty, Apparao Allam, Lalitha Saroja Thota
  International Conference on Bioinformatics & Computational Biology, BIOCOMP 2008, July 14-17, 2008, Las Vegas Nevada, USA, 2 Volumes; 01/2008
• Source

  Available from: Siva Reddy Challa

  Article: Proteomic Analysis in Diabetic Cardiomyopathy using Bioinformatics Approach

  Allam Appa Rao, Hanuman Thota, Ramamurthy Adapala, Suresh Babu Changalasetty, Ramachandra Sridhar Gumpeny, Annapurna Akula, Lalitha Saroja Thota, Siva Reddy Challa, M.R. Narasinga Rao, Undurti N. Das
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  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.
  Bioinformatics and biology insights 01/2008; 2:1-4.
• Source

  Available from: PubMed Central

  Article: Alzheimer's disease care and management: role of information technology.

  Hanuman Thota, Allam Appa Rao, Kiran Kumar Reddi, Sivaprasad Akula, Suresh Babu Changalasetty, Gedela Srinubabu
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  ABSTRACT: Alzheimer's disease (AD) an ailment that is supposed to affect people in old age. There are evidences that it might affect others also. The number of elders is increasing as the average life expectancy is increasing. AD afflicts its patients with the dementia and AD might increase in malignance over time. People with cognitive disabilities can be overwhelmed through cognitive prosthetics. With the help of information technology we can enhance the quality of life. Significant achievements are possible with an interdisciplinary approach that includes genomic, genetic, technological and therapeutic measures. The combination and coordination of Bioinformatics facilitates generation of various diagnostic tools for the people who are suffering from Alzheimer's disease. These tools help the care providers also. In this article, we emphasize the literature regarding the use of technology and its methodologies to improve the quality of care for the people with Alzheimer's disease.
  Bioinformation 02/2007; 2(3):91-5.
• Conference Proceeding: Aldose Reductase and Nitric Oxide Synthase Role in Diabetic Retinopathy: A Bioinformatics Study.

  Hanuman Thota, Nageswara rao Kunjam, Suresh Babu Changalasetty, Allam Appa Rao, Ramachandra Sridhar Gumpeny, Undurti N. Das, Reddi Kirankumar, T. K. Rama Krishna Rao
  International Conference on Bioinformatics & Computational Biology, BIOCOMP 2007, Volume I, June 25-28, 2007, Las Vegas Nevada, USA; 01/2007
• Source

  Available from: PubMed Central

  Article: Alzheimer's disease and type 2 diabetes mellitus: the cholinesterase connection?

  Gumpeny Ramachandra Sridhar, Hanuman Thota, Appa Rao Allam, Changalasetty Suresh Babu, Akula Siva Prasad, Ch Divakar
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  ABSTRACT: Alzheimer's disease and type 2 diabetes mellitus tend to occur together. We sought to identify protein(s) common to both conditions that could suggest a possible unifying pathogenic role. Using human neuronal butyrylcholinesterase (AAH08396.1) as the reference protein we used BLAST Tool for protein to protein comparison in humans. We found three groups of sequences among a series of 12, with an E-value between 0-12, common to both Alzheimer's disease and diabetes: butyrylcholinesterase precursor K allele (NP_000046.1), acetylcholinesterase isoform E4-E6 precursor (NP_000656.1), and apoptosis-related acetylcholinesterase (1B41|A). Butyrylcholinesterase and acetylcholinesterase related proteins were found common to both Alzheimer's disease and diabetes; they may play an etiological role via influencing insulin resistance and lipid metabolism.
  Lipids in Health and Disease 02/2006; 5:28. · 2.17 Impact Factor
• Article: Alzheimer's disease and Type 2 diabetes mellitus: the cholinesterase connection?

  Allam Appa Rao, Gumpeny Sridhar, Hanuman Thota, Suresh Babu Changalasetty, Siva Prasad Akula, Ch Divakar
  [show abstract] [hide abstract]
  ABSTRACT: Abstract Alzheimer's disease and type 2 diabetes mellitus tend to occur together. We sought to identify protein(s) common to both conditions that could suggest a possible unifying pathogenic role. Using human neuronal butyrylcholinesterase (AAH08396.1) as the reference protein we used BLAST Tool for protein to protein comparison in humans. We found three groups of sequences among a series of 12, with an E-value between 0–12, common to both Alzheimer's disease and diabetes: butyrylcholinesterase precursor K allele (NP_000046.1), acetylcholinesterase isoform E4-E6 precursor (NP_000656.1), and apoptosis-related acetylcholinesterase (1B41|A). Butyrylcholinesterase and acetylcholinesterase related proteins were found common to both Alzheimer's disease and diabetes; they may play an etiological role via influencing insulin resistance and lipid metabolism.
  Lipids in Health and Disease. 01/2006;
• Article: Bioinformatics analysis of diabetic neuropathy using functional protein sequences reveals a dominant role for nerve growth factor

  Appa Rao Allam, Hanuman Thota, Veera Swamy Thota, Ramachandra Sridhar Gumpeny, Annapurna Akula, Siva Reddy Challa, Yesu Babu Adimulam, Suresh Kopparthi, Srihari Ramisetti, Rammurthy Adapala, Kudipudi Srinivas, Kiran Kumar Reddi