THE ROLE OF REACTIVE OXYGEN SPECIES IN PARKINSON’S DISEASE

Abstract

Parkinson’s disease (PD) is a neurodegenerative disease which can be due to either genetic or environmental reasons. A non invasive biomarker could help to diagnose the disease at early stages of the disease for better treatment. Here we extracted three microarray data set from blood of healthy and Parkinson disease subjects. We analysed and compared these data sets to search for common deregulated genes. Using a series of bioinformatics tools and databases we compared the significantly deregulated genes between the data sets. We addressed the common differentially deregulated genes among the data sets. 8 downregulated genes were found to be shared between GSE72267 and GSE6613 datasets. These genes were RASSF4, TANK, YBX3, SMARCA4, EZR, COMT, ZFP36L2, and ZER1. TCEA1 was found common between GSE54536 and GSE6613, and none was found between GSE72267 and GSE54536. Similarly, SLC11A2 gene was observed to the differentially upregulated gene which was shared between GSE54536 and GSE72267 data set. Additionally, we found 4 genes (RNF40, MLEC, LAT2 and TYMP) to be common between GSE54536 and GSE6613 datasets and 2 genes (SUPT3H and CKAP2) were found to be shared between GSE6613 and GSE72267 datasets. Further analysis using protein-protein interaction network revealed 2 common genes between the data sets. EZR and SMARCA4 were found to be downregulated in both GSE72267 and GSE6613 datasets. Further after literature search showed that several of these genes to be associated with neurological disorders, oxidative stress or Parkinson disease. However, for few genes (SLC11A2, RNF40, MLEC, LAT2, and TYMP) the association with PD is not reported. Thus in this study we systematically analysed and identified significantly deregulated genes which are common between the data sets. The identified genes were previously reported to be associated with PD or neurological disease. Although, we could identify only 16 deregulated genes common between the datasets, the identified genes were well correlated with the disease.