Parkinson's disease is a complex chronic neurodegenerative disease common in elderly people and greatly affects the quality of their life. However, the pathogenesis of Parkinson's disease is still incompletely understood to date. The purpose of this present study is to explore the pathogenesis of Parkinson's disease using a computational bioinformatics analysis of gene expression. We downloaded gene expression profiles on Parkinson's disease from the Gene Expression Omnibus database and predicted the miRNAs and transcription factors of differentially expressed genes in Parkinson's disease. A total of 11 genes associated with Parkinson's disease initiation were identified, including junction plakoglobin (JUP). Besides, we identified a new transcription factor, N-Myc down-regulated gene 1 (NDRG1), which is regulated by miRNA-133 in Parkinson's disease. Furthermore, we proposed a hypothesis that there may be two kinds of regulatory relationships among miRNA-133, NDRG1, and JUP: direct regulatory relationship and indirect relationship. The results presented in this work confirmed the role of miRNA-133 in Parkinson's disease and substantiated our understanding of miRNA-related neurodegenerative states in general.
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