Screening of Parkinson’s Differential MicroRNA Based on GEO Database and Its Clinical Verification

• Published in: BioMed research international Vol. 2021; no. 1; p. 8171236
• Main Authors: Jiang, Xuping, Xiao, Lili, Jiang, Xumei, Li, Guangsheng, Lu, Zhijuan
• Format: Journal Article
• Language: English
• Published: United States Hindawi 2021; John Wiley & Sons, Inc
• Subjects: Alzheimer's disease; Case-Control Studies; Chromosome 5; Computational Biology; Databases, Nucleic Acid; Datasets; Development and progression; Diagnostic systems; Encyclopedias; Gene expression; Gene Ontology; Genes; Genetic aspects; Genetic Markers; Genomes; Health aspects; Hospitals; Humans; Medical research; Methods; MicroRNA; MicroRNAs; MicroRNAs - genetics; miRNA; Moniz, Egas; Movement disorders; Neurological research; Oligonucleotide Array Sequence Analysis - statistics & numerical data; Online databases; Parkinson Disease - diagnosis; Parkinson Disease - genetics; Parkinson's disease; Patients; Polymerase chain reaction; RNA sequencing; Signal Transduction - genetics; Software; Statistical analysis; Websites; Taiwan; China; United States > US
• ISSN: 2314-6133; 2314-6141; 2314-6141
• DOI: 10.1155/2021/8171236

Objective. This study is set out to explore the potential difference of miR in PD through GEO data and provide diagnostic indicators for clinical practice. Methods. In this study, differential miR was screened through the Gene Expression Omnibus (GEO) database, 68 PD patients treated in our hospital from May 2017 to March 2018 were collected as the research group (RG), and 50 normal subjects who underwent physical examination in our hospital during the same period were collected as the control group (CG). Quantitative real-time polymerase chain reaction (qRT-PCR) was used to detect the expression and diagnostic value of miR-374a-5p in serum of patients. The potential target genes of miR-374a-5p were predicted, and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis and Gene Ontology Consortium (GO) were carried out. Results. GEO2R analysis revealed that 193 miRs are expressed differentially, of which 78 were highly expressed and 115 were poorly expressed. The miR-374a-5p expression in the serum of the RG was reduced markedly and had a diagnostic value. Targetscan and miRDB online websites were used to predict their target genes, with 415 common target genes. miR-374a-5p may participate in 27 functional pathways and 8 signal pathways. Conclusion. miR-335-5p has low expression in PD and is expected to be a potential diagnostic indicator.