Hindawi Parkinson’s Disease Volume 2018, Article ID 1590465, 12 pages https://doi.org/10.1155/2018/1590465 Research Article Microarray Analysis of the Molecular Mechanism Involved in Parkinson’s Disease Cheng Tan, Xiaoyang Liu, and Jiajun Chen Department of Neurology, China-Japan Union Hospital of Jilin University, Changchun, Jilin 130033, China Correspondence should be addressed to Jiajun Chen;
[email protected] Received 24 May 2017; Revised 21 August 2017; Accepted 18 October 2017; Published 1 March 2018 Academic Editor: Amnon Sintov Copyright © 2018 Cheng Tan et al. )is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Purpose. )is study aimed to investigate the underlying molecular mechanisms of Parkinson’s disease (PD) by bioinformatics. Methods. Using the microarray dataset GSE72267 from the Gene Expression Omnibus database, which included 40 blood samples from PD patients and 19 matched controls, differentially expressed genes (DEGs) were identified after data preprocessing, followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. Protein-protein interaction (PPI) network, microRNA- (miRNA-) target regulatory network, and transcription factor- (TF-) target regulatory networks were constructed. Results. Of 819 DEGs obtained, 359 were upregulated and 460 were downregulated. Two GO terms, “rRNA processing” and “cytoplasm,” and two KEGG pathways, “metabolic pathways” and “TNF signaling pathway,” played roles in PD development. Intercellular adhesion molecule 1 (ICAM1) was the hub node in the PPI network; hsa- miR-7-5p, hsa-miR-433-3p, and hsa-miR-133b participated in PD pathogenesis.