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Screening of Parkinson's Differential MicroRNA Based on GEO Database and Its Clinical Verification
Xuping Jiang1, Lili Xiao1, Xumei Jiang2
1Department of Neurology, Ganzhou People's Hospital, Ganzhou 341000, Jiangxi Province, China.
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.
Insights
This study identified miR-374a-5p as a potential biomarker for Parkinson's disease (PD). Reduced miR-374a-5p levels in patient serum indicate its diagnostic value for PD.
Area of Science:
- Biochemistry
- Genetics
- Neuroscience
Background:
- Parkinson's disease (PD) diagnosis relies on clinical symptoms, necessitating more objective biomarkers.
- MicroRNAs (miRs) are emerging as potential indicators for various diseases, including neurodegenerative disorders.
Purpose of the Study:
- To investigate differential microRNA expression in Parkinson's disease using the Gene Expression Omnibus (GEO) database.
- To identify specific microRNAs as potential diagnostic indicators for clinical application in Parkinson's disease.
Main Methods:
- Differential microRNA expression analysis was performed using GEO2R on public datasets.
- Serum samples from 68 Parkinson's disease patients and 50 healthy controls were analyzed using quantitative real-time polymerase chain reaction (qRT-PCR).
- Bioinformatic tools (Targetscan, miRDB) were used for target gene prediction, followed by Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) pathway analysis.
Main Results:
- 193 differentially expressed microRNAs were identified, with 78 upregulated and 115 downregulated.
- A significant reduction in miR-374a-5p expression was observed in the serum of Parkinson's disease patients, demonstrating diagnostic potential.
- 415 common target genes were predicted for miR-374a-5p, implicating it in 27 functional and 8 signaling pathways.
Conclusions:
- miR-374a-5p exhibits significantly low expression in Parkinson's disease patients.
- miR-374a-5p is a promising candidate biomarker for the diagnosis of Parkinson's disease.
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