Diabetic a part in diabetic retinopathy by modulating

Diabetic
retinopathy is the leading cause of blindness in adults with diabetes and it is
frequently occurring complication of diabetes mellitus feared by many diabetic
patients across the world. There are several proteins which are believed to be
involved in diabetic retinopathy. In this study we have evaluated such proteins
which are likely to be part of diabetic retinopathy by utilizing multiple
sequence alignment tool viz., ClustalOmega, and designed a phylogenetic tree of
multiple protein sequences obtained from National Center for Biotechnology
Information (NCBI). Here data mining technique called sequence mining plays a
key role in extracting protein sequences from the database. Sequence mining
technique is specialized in analyzing sequential patterns which are relevant
and distinct from one another and utilizing retrieved sequences similarity and distance
between different protein sequences can be analyzed. Phylogram was
constructed using Neighbor-Joining Algorithm in Sequence Mining
Techniques approach. From the phylogenetic tree it was recognized
that aldose reductase and nitric oxide synthase has close connection with
diabetic retinopathy. It is likely that vascular endothelial growth factor,
pro-inflammatory cytokines, advanced glycation end products, and adhesion
molecules additionally assume a part in diabetic retinopathy by modulating
aldose reductase and nitric oxide synthase activities. These outcomes infer
that techniques intended to standardize aldose reductase and nitric oxide
synthase activities could be of huge advantage and provide benefit in
counteractive action and treatment of diabetic retinopathy. The final
observations obtained using sequential mining techniques denotes that methods
designed to standardize placenta growth factor and vascular endothelial growth
factor synthase activities could be of significant advantage in the inhibition
and treatment of diabetic retinopathy in era of new therapeutic interventions.