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2025 ; 25
(1
): 437
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Identification of exosome-related gene biomarkers for parkinson s disease: a
multi-omics approach for early diagnosis and therapeutic targeting
#MMPMID41131511
Chen S
; Feng N
; Liu Y
BMC Neurol
2025[Oct]; 25
(1
): 437
PMID41131511
show ga
Parkinson?s disease (PD) is a neurodegenerative disorder linked to
alpha-synuclein pathology and dopaminergic neuron loss. Exosomes play dual roles
in PD progression, facilitating pathological protein spread or exerting
neuroprotective effects. This study aimed to identify exosome-related gene
biomarkers for PD diagnosis and therapy. Using multi-dataset analysis (Series:
GSE42966, Platforms: GPL4133, Series: GSE99039, Platforms: GPL570, Series:
GSE156926, Platforms: GPL19920) from the Gene Expression Omnibus (GEO), we
integrated principal component analysis (PCA), differential gene screening
(|logFC|>0.5, p?0.05), and machine learning to identify PD-associated
exosome-related genes. Functional enrichment revealed associations with oxidative
phosphorylation, Huntington?s disease pathways, and immune responses. A
predictive model comprising five genes?GNAS, TUBB2A, RPL22, RPL5, and WNT5A?was
established and validated using ROC curves (Receiver Operating Characteristic
Curve) and nomograms. Immune profiling linked these genes to B cells, MDSCs, and
CD4+/CD8?+?T cells. Drug-gene network analysis highlighted interactions with
compounds like NSC94017 and phosphine, while molecular docking identified key
binding residues (e.g., GLN294, ASP295). These genes may serve as early
diagnostic biomarkers and therapeutic targets. Despite promising results, further
validation in larger cohorts and mechanistic studies are needed to confirm their
roles in PD pathogenesis and treatment. This study provides a foundation for
developing precision gene therapies and non-invasive diagnostic strategies for
PD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material
available at 10.1186/s12883-025-04477-x.