Differential gene expression and immune profiling in Parkinson's disease: unveiling potential candidate biomarkers.

ABSTRACT:

Background

Parkinson's disease (PD) represents a common neurodegenerative disorder characterized by a multifaceted interaction with immune infiltration. Despite a well-defined clinical diagnosis, the misdiagnosis rate of PD remains around 20%. The aim of this study is to discover new diagnostic biomarkers for PD and investigate their pathogenesis to improve early intervention and effective management of patients with PD.

Methods

Five PD-related GEO datasets were used: four for training (GSE7621, GSE8397, GSE20186, and GSE20292) and one for validation (GSE26927). Gene expression analysis included batch correction and "RobustRankAggreg" (RRA) methods. Differentially expressed genes (DEGs) were linked to functions via Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genom

SUBMITTER: Yao X 

PROVIDER: S-EPMC12382031 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature