Research overview
The text below is the source article’s original abstract under a verified reuse license. cc by
Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by both motor and non-motor symptoms. Oxidative stress is involved in disease pathogenesis, with the consequent damage to DNA. Nowadays, phytocompounds attract much interest for their capacity to modulate some of the pathogenic mechanisms of PD. Glucosinolates (GLs) and their derivatives, isothiocyanate (ITC), obtained by GLs hydrolysis by myrosinase (MYR), showed neuroprotective properties. In this study, we evaluated the protective effects of pre- and post-treatment with the GL glucoraphanin (GRA) bioactivated with MYR in an in vitro model of PD, namely differentiated SH-SY5Y cells treated with the toxin MPP+. With this aim, we performed transcriptomic analysis using next-generation sequencing (NGS). We observed that GRA + MYR pre-treatment modulated Biological Process (BP) of Gene Ontology (GO) and Reactome pathways associated with oxidative stress response and DNA repair mechanisms. In the post-treatment group, BP and pathways associated with DNA processes were also overrepresented in association with those correlated to oxidative stress. Indeed, some differentially expressed genes associated with oxidative stress response were upregulated, such as SOD1, whose protein levels also increased. The results of this exploratory study suggested that GRA + MYR may induce protective effects and, in particular, pre-treatment may modulate genes involved in DNA repair, while the post-treatment may exert a protective action against oxidative stress.
Scientific assessment
Research question
Assess the question within the original study’s scope.
Methods & sample
Check the source article for study design and sample details.
Key findings
An editorially approved findings summary is not yet published for this record.
Limitations
Generalizability, bias and clinical meaning require separate assessment.
Methods, samples and clinical conclusions are not inferred from bibliographic metadata.