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A Comprehensive Bioinformatic Analysis Revealed Novel Microrna Biomarkers of Parkinson's Disease Publisher Pubmed



Rahimpour A1 ; Heidarzadehpilehrood R2 ; Abdollahi S3 ; Ranjbari H4 ; Shams Z5 ; Ghasemi SA6 ; Najmaei S7 ; Pirhoushiaran M3
Authors
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Authors Affiliations
  1. 1. Islamic Azad University of science and research branch Tehran, Tehran, Iran
  2. 2. Department of Obstetrics & Gynaecology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Selangor, Serdang, Malaysia
  3. 3. Department of Medical Genetics, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
  4. 4. Student Research Committee, Kurdistan University of Medical Sciences, Sanandaj, Iran
  5. 5. Department of Biological Sciences, Kharazmi University, Tehran, Iran
  6. 6. Department of Medical Microbiology and Parasitology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Selangor Darul Ehsan, Serdang, Malaysia
  7. 7. University of Rostock, Institute of Biological Sciences, Division of Microbiology, A.-Einstein-Str. 3, Rostock, Germany

Source: Cell Biology International Published:2022


Abstract

Parkinson's disease (PD) is categorized as a neurodegenerative disorder. Different studies have focused on the role of microRNAs (miRNAs) on PD progression. Due to its complexity in initiation and progression, a considerable requirement has arisen to identify novel miRNA biomarkers in a noninvasive manner. In silico analysis has been used to select differentially expressed miRNAs (DE-miRNAs) and key pathways in this disease. In this manner, several data sets of different neurodegenerative diseases have been analyzed to purify the findings of the present study. Totally, 15 DE miRNAs showed significant changes compared to healthy controls and other neurodegenerative diseases. Then, the targets of the miRNAs were predicted through miRTarBase and TargetScan databases. Besides, enrichment analysis was implemented for predicted target genes. Most of the target genes were enriched in the TRAIL signaling pathway, Regulation of nucleobase, nucleoside, nucleotide and nucleic acid metabolism, protein serine/threonine kinase activity, and Cytoplasm. Moreover, a protein−protein interaction network was constructed to find the most key DE miRNAs and targets in this disease. The results of the present study may help researchers shed light on the discovery of novel biomarkers for PD. © 2022 International Federation for Cell Biology.
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