Impact of Potential Biomarkers, SNRPE, COX7C, and RPS27, on Idiopathic Parkinson's Disease

Overview

Journal Genes Genomics

Specialty Genetics

Date 2024 Oct 29

PMID 39467967

Authors

Jaehwan Cheon

Haejin Jung

Byung Yong Kang

Mikyung Kim

Affiliations

Soon will be listed here.

Abstract

Background: Parkinson's disease (PD) is a progressive neuro-degenerative disorder most common in older adults which is associated with impairments in movement and other body functions. Most PD cases are classified as idiopathic PD (IPD), meaning that the etiology remains unidentified.

Objective: To identify key genes and molecular mechanisms to identify biomarkers applicable to IPD.

Methods: We applied a bioinformatics approach using a gene expression in whole blood dataset to pinpoint differentially expressed genes (DEGs) and pathways involved in IPD. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses of DEGs were subsequently performed. A protein-protein interaction (PPI) network was then constructed to select hub genes that may influence IPD. We further investigated the levels of differentially methylated regions (DMRs) and differentially expressed microRNA (DEMs) of whole blood of patients with IPD to validate hub genes. Additionally, we examined the hub gene expression patterns in the substantia nigra (STN) using single-cell RNA sequencing datasets.

Results: In total, we identified 124 DEGs in the blood samples of patients with IPD, with GO and KEGG analyses highlighting their significant enrichment. Analysis of PPI networks revealed three major clusters and hub genes: small nuclear ribonucleoprotein polypeptide E (SNRPE), cytochrome C oxidase subunit 7 C (COX7C), and ribosomal protein S27 (RPS27). DMRs and DEMs analyses revealed hub gene regulation via epigenetic and RNA interference. In particular, SNRPE and RPS27 showed identically regulated gene expression in the STN.

Conclusion: This study suggests that SNRPE, COX7C, and RPS27 in whole-blood samples derived from patients may be useful biomarkers for IPD.

Citing Articles

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Cheon J, Kim B, Park J, Shin J, Kim T Int J Mol Sci. 2024; 25(22).

PMID: 39596132 PMC: 11594244. DOI: 10.3390/ijms252212062.

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