Blood SSR1: A Possible Biomarker for Early Prediction of Parkinson's Disease.

ABSTRACT: Parkinson's disease (PD) is the second most common neurodegenerative disease associated with age. Early diagnosis of PD is key to preventing the loss of dopamine neurons. Peripheral-blood biomarkers have shown their value in recent years because of their easy access and long-term monitoring advantages. However, few peripheral-blood biomarkers have proven useful. This study aims to explore potential peripheral-blood biomarkers for the early diagnosis of PD. Three substantia nigra (SN) transcriptome datasets from the Gene Expression Omnibus (GEO) database were divided into a training cohort and a test cohort. We constructed a protein-protein interaction (PPI) network and a weighted gene co-expression network analysis (WGCNA) network, found their overlapping differentially expressed genes and

SUBMITTER: Zhang W 

PROVIDER: S-EPMC8924528 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature