Parkinsonâ??s disease (PD) is a chronic, progressive neurodegenerative disease characterized\nby both motor and nonmotor features. The diagnose of PD is based on a review of patientsâ?? signs and\nsymptoms, and neurological and physical examinations. So far, no tests have been devised that can\nconclusively diagnose PD. In this study, we explore both microRNA and gene biomarkers for PD.\nMicroarray gene expression profiles for PD patients and healthy control are analyzed using a principal\ncomponent analysis (PCA)-based unsupervised feature extraction (FE). 244 genes are selected to be\npotential gene biomarkers for PD. In addition, we implement these genes into Kyoto Encyclopedia of\nGenes and Genomes (KEGG) pathways, and find that the 15 microRNAs (miRNAs), hsa-miR-92a-3p,\n16-5p, 615-3p, 877-3p, 100-5p, 320a, 877-5p, 23a-3p, 484, 23b-3p, 15a-5p, 324-3p, 19b-3p, 7b-5p and\n505-3p, significantly target these 244 genes. These miRNAs are shown to be significantly related to\nPD. This reveals that both selected genes and miRNAs are potential biomarkers for PD.
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