Journal
JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY
Volume 93, Issue 5, Pages 509-512Publisher
BMJ PUBLISHING GROUP
DOI: 10.1136/jnnp-2021-328742
Keywords
parkinson's disease; Neurogenetics
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Funding
- Sumitomo Dainippon Pharma
- AMED [JP17km0405206, 17ek0109207h0001]
- JSPS [21H02836, 20J12189]
- Grants-in-Aid for Scientific Research [21H02836, 20J12189] Funding Source: KAKEN
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This study found that the efficacy of zonisamide in Parkinson's disease patients is associated with glutamate-related synaptic modulation and p53-mediated dopaminergic neural loss. Transcriptional differences can be used to predict patient response to zonisamide before treatment.
Objective Interindividual variations in responsiveness to zonisamide in patients with Parkinson's disease (PD) have been observed in clinical settings. To decipher the molecular mechanisms determining the efficacy of zonisamide, we conducted whole transcriptome sequencing analysis of patients with PD. Methods We selected 23 super-responders (SRs) and 25 non-responders (NRs) to zonisamide from patients with PD who had participated in a previous clinical trial for the approval of zonisamide for the treatment of 'wearing-off'. Whole transcriptome analysis of peripheral blood was conducted on samples taken before and 12 weeks after zonisamide treatment. We performed differential gene expression analysis to compare between the SRs and NRs at each time point. Results Differentially expressed genes in the pre-treatment samples were significantly enriched for glutamatergic synapses and insulin-like growth factor binding (P (adj)=7.8 x 10(-3) and 0.029, respectively). The gene sets associated with these functions changed more dynamically by treatment in SRs than NRs (p=7.2 x 10(-3) and 8.2 x 10(-3), respectively). Conclusions Our results suggest that the efficacy of zonisamide in PD patients is associated with glutamate-related synaptic modulation and p53-mediated dopaminergic neural loss. Their transcriptomic differences could be captured before treatment, which would lead to the realisation of future personalised treatment.
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