Computational analysis of transcriptome data and mapping of functional networks in Parkinson's disease.

ABSTRACT: Parkinson's disease (PD) is the most common neurodegenerative movement disorder. The pathophysiology is defined by a loss of dopaminergic neurons in the substantia nigra pars compacta, however recent studies suggest that the peripheral immune system may participate in PD development. Herein, we analyzed molecular insights examining RNA-seq data obtained from the peripheral blood of both Parkinson's disease patients and healthy control. Although all age and gender groups were analyzed, emphasis is given on individuals aged 50-70, the most prevalent group for Parkinson's diagnosis. The computational workflow comprises both bioinformatics analyses and machine learning processes and the yield of the pipeline includes transcripts ranked by their level of significance, which could serve as relia

SUBMITTER: Perperidis K 

PROVIDER: S-EPMC12672545 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature