International Journal of Molecular Sciences, Год журнала: 2024, Номер 25(24), С. 13260 - 13260
Опубликована: Дек. 10, 2024
Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by alpha-synuclein aggregation into Lewy bodies in the neurons. Cerebrospinal fluid (CSF) considered most suited source for investigating PD pathogenesis and identifying biomarkers. While microRNA (miRNA) profiling can aid investigation of post-transcriptional regulation diseases, information on miRNAs CSF patients with remains limited. This review combines miRNA analysis proteomic to explore collective impact mechanisms PD. We constructed separate networks altered proteomes using bioinformatics method. Altered were poorly linked biological functions owing limited information; however, changes protein expression strongly associated functions. Subsequently, integrated further analysis. In silico prediction from network revealed relationships between proteins, highlighting increased reactive oxygen species generation, neuronal loss, neurodegeneration suppressed ATP synthesis, mitochondrial function, neurotransmitter release The approach suggests potential as biomarkers critical underlying combined strategy could enhance our understanding complex biochemical support development diagnostic therapeutic strategies precision medicine.
Язык: Английский