Gene Expression and Pathway Detection for Diabetic Nephropathy using Computational Intelligence in Bioinformatics
It has been observed that in high blood sugar levels over time these high glucose level can damage various area of the body including cardiovascular system and kidneys. The kidney damage that results is known as “Diabetic nephropathy “.Diabetes plays a critical role in public health concern with rates of diabetes increasing globally and approximately 40 of affected individuals developing diabetic nephropathy. We have taken bioinformatics and computational approach to studying identification of diabetic nephropathy associated genes by literature mining for gene expression and how the genes affected the pathways DN .Numerous datasets has been evaluated for Diabetic nephropathy occurs only in a minority of subjects with either type 1 or type 2 diabetes and seems to result from the interaction between genetic susceptibility and environmental insults and risk factors for the development of diabetic nephropathy includes ethnicity and inherited genetic differences and Hyperglycemia and arterial hypertension and other risk factors are smoking dyslipidemia proteinuria, glomerular hyperfiltration and factors.Our result have been evaluated how the pathways are been affected in diabetic nephropathy, the pathogenesis of diabetic nephropathy and gene mapping also the development of diagnostic.
Dr. Brijendra Gupta | Tanvi Shinde | Aarti Pundalik | Poonam Kedari