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Cells 2018, 7(12), 245;

Exploring MicroRNA Biomarkers for Parkinson’s Disease from mRNA Expression Profiles

Department of Physics, Chuo University, 1-13-27 Kasuga, Bunky-ku, Tokyo 112-8551, Japan
Institute of Statistics, National Chiao Tung University, Hsinchu 30010, Taiwan
Author to whom correspondence should be addressed.
Received: 30 October 2018 / Revised: 1 December 2018 / Accepted: 4 December 2018 / Published: 5 December 2018
(This article belongs to the Special Issue Regulatory microRNA)
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Parkinson’s disease (PD) is a chronic, progressive neurodegenerative disease characterized by both motor and nonmotor features. The diagnose of PD is based on a review of patients’ signs and symptoms, and neurological and physical examinations. So far, no tests have been devised that can conclusively diagnose PD. In this study, we explore both microRNA and gene biomarkers for PD. Microarray gene expression profiles for PD patients and healthy control are analyzed using a principal component analysis (PCA)-based unsupervised feature extraction (FE). 244 genes are selected to be potential gene biomarkers for PD. In addition, we implement these genes into Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, and find that the 15 microRNAs (miRNAs), hsa-miR-92a-3p, 16-5p, 615-3p, 877-3p, 100-5p, 320a, 877-5p, 23a-3p, 484, 23b-3p, 15a-5p, 324-3p, 19b-3p, 7b-5p and 505-3p, significantly target these 244 genes. These miRNAs are shown to be significantly related to PD. This reveals that both selected genes and miRNAs are potential biomarkers for PD. View Full-Text
Keywords: biomarker; gene; microRNA; parkinson’s disease biomarker; gene; microRNA; parkinson’s disease

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This 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 (CC BY 4.0).

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Taguchi, Y.-H.; Wang, H. Exploring MicroRNA Biomarkers for Parkinson’s Disease from mRNA Expression Profiles. Cells 2018, 7, 245.

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