Bioinformatics analysis of diabetic retinopathy using functional protein sequences

被引:9
作者
Rao, Allam Appa [1 ]
Thota, Hanuman [2 ]
Gumpeny, Ramachandra Sridhar [3 ]
Akula, Annapurna [4 ]
Changalasetty, Suresh Babu [2 ]
Challa, Siva Reddy [4 ]
Ravavarapu, Tejaswi [1 ]
Akula, Siva Prasad [2 ]
Divakar, Ch. [5 ]
Srinivas, K. [2 ]
Das, Undurti N. [6 ]
机构
[1] Andhra Univ, Dept Comp Sci & Engn, Waltair 530003, Andhra Pradesh, India
[2] Acharya Nagarjuna Univ, Dept Comp Sci, Guntur, India
[3] Endocrine & Diabet Ctr, Visakhapatnam 530002, Andhra Pradesh, India
[4] Andhra Univ, Dept Pharmaceut Sci, Waltair 530003, Andhra Pradesh, India
[5] Gandhi Inst Technol & Management, Dept Comp Sci, Visakhapatnam, Andhra Pradesh, India
[6] UND Life Sci, Shaker Hts, OH 44120 USA
关键词
D O I
10.1016/j.mehy.2007.03.033
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Diabetic retinopathy is the leading cause of blindness among patients with diabetes mellitus. We evaluated the rote 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 rote 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. (c) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码:148 / 155
页数:8
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