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Integrated Analysis and Identification of Novel Biomarkers in Parkinson’s Disease
- Source :
- Frontiers in Aging Neuroscience, Vol 10 (2018), Frontiers in Aging Neuroscience
- Publication Year :
- 2018
- Publisher :
- Frontiers Media S.A., 2018.
-
Abstract
- Parkinson's disease (PD) is a quite common neurodegenerative disorder with a prevalence of approximately 1:800-1,000 in subjects over 60 years old. The aim of our study was to determine the candidate target genes in PD through meta-analysis of multiple gene expression arrays datasets and to further combine mRNA and miRNA expression analyses to identify more convincing biological targets and their regulatory factors. Six included datasets were obtained from the Gene Expression Omnibus database by systematical search, including five mRNA datasets (150 substantia nigra samples in total) and one miRNA dataset containing 32 peripheral blood samples. A chip meta-analysis of five microarray data was conducted by using the metaDE package and 94 differentially expressed (DE) mRNAs were comprehensively obtained. And 19 deregulated DE miRNAs were obtained through the analysis of one miRNAs dataset by Qlucore Omics Explorer software. An interaction network formed by DE mRNAs, DE miRNAs, and important pathways was discovered after we analyzed the functional enrichment, protein-protein interactions, and miRNA targetome prediction analysis. In conclusion, this study suggested that five significantly downregulated mRNAs (MAPK8, CDC42, NDUFS1, COX4I1, and SDHC) and three significantly downregulated miRNAs (miR-126-5p, miR-19-3p, and miR-29a-3p) were potentially useful diagnostic markers in clinic, and lipid metabolism (especially non-alcoholic fatty liver disease pathway) and mitochondrial dysregulation may be the keys to biochemically detectable molecular defects. However, the role of these new biomarkers and molecular mechanisms in PD requires further experiments in vivo and in vitro and further clinical evidence.
- Subjects :
- 0301 basic medicine
Aging
NAFD pathway
Cognitive Neuroscience
MAPK8
Substantia nigra
Computational biology
Biology
lcsh:RC321-571
03 medical and health sciences
0302 clinical medicine
microRNA
Gene expression
genes
Gene
lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry
Original Research
miRNA
Microarray analysis techniques
NDUFS1
biomarkers
bioinformatics
030104 developmental biology
Disease Pathway
Parkinson’s disease
030217 neurology & neurosurgery
Neuroscience
Subjects
Details
- Language :
- English
- ISSN :
- 16634365
- Volume :
- 10
- Database :
- OpenAIRE
- Journal :
- Frontiers in Aging Neuroscience
- Accession number :
- edsair.doi.dedup.....109bb510eac48f28fe8c2e5c9a0d37a6