ArticleBrain and behavior2023
Association between 23 drugs and Parkinson's disease: A two-sample Mendelian randomization study.
Article in Brain and behavior, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 9 citations in OpenAlex.
- Clopidogrel use is associated with an increased prevalence of Parkinson's disease, particularly among US adults with diabetes.Clinical parkinsonism & related disorders · 2026Article
- Gut Microbiota Influences Meningioma Pathogenesis via Circulating Metabolites: A Two-Sample Mendelian Randomization Study.Brain and behavior · 2025Article
- Modifiable risk factors associated with the risk of developing Parkinson's disease: a critical review.Arquivos de neuro-psiquiatria · 2025Review
- Potential Biomarkers and Treatment of Neuroinflammation in Parkinson's Disease.Actas espanolas de psiquiatria · 2025Review
- Neuroprotective mechanisms of valproic acid and alpha-lipoic acid in ALS: a network pharmacology-based investigation.Frontiers in pharmacology · 2025Article
- No causal relationship between ankylosing spondylitis and Parkinson's disease: Insights from Mendelian randomization studies.Heliyon · 2024Article
- Dissecting causal relationships between gut microbiota, blood metabolites, and glioblastoma multiforme: a two-sample Mendelian randomization study.Frontiers in microbiology · 2024Article
- Association between 23 drugs and Parkinson's disease: A two-sample Mendelian randomization study.Brain and behavior · 2023Article
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundParkinson's disease (PD) is a common degenerative nervous system disease. At present, there are certain limitations in various treatment options aimed at preventing or delaying the progression of PD. Therefore, the exploration of new drugs for PD is beneficial. Mendelian randomization (MR) analysis can be used to explore the association between drugs and diseases. In this study, MR analysis was adopted to investigate the causal relationship between 23 drugs and PD. These drugs have been approved for the treatment of different diseases, such as salicylic acid and derivatives (collectively called salicylates, e.g., aspirin, used for fever and pain relief), antithrombotic agents (e.g., warfarin, aspirin, used for preventing thrombotic events).
methodsThe GWAS data for the 23 drugs were obtained from the UK Biobank (UKB) project, while the GWAS data for PD were sourced from FinnGen. Single-Nucleotide Polymorphisms (SNPs) were selected as instrumental variables (IVs). We first performed a series of quality control steps (including MR-PRESSO) to select the appropriate SNPs. Two-sample MR analysis was performed using five different methods, including inverse variance weighting (IVW) with random-effects model, weighted median, MR-Egger, simple model, and weighted model. At the same time, sensitivity analysis was carried out using the MR-Egger and Cochran's Q test to ensure the authenticity and reliability of the results.
resultsIn MR-PRESSO, salicylates and antithrombotic agents showed statistically significant associations with PD, respectively. In the main MR analysis (IVW), there was a negative causal relationship between salicylates and PD (OR = 0.73, 95% CI = 0.54-0.98, p = .039). Similarly, there was a negative causal relationship between antithrombotic agents and PD (OR = 0.70, 95%CI = 0.52-0.96, p = .027). No statistically significant association was found between the remaining 21 drugs and PD.
conclusionThis MR study demonstrated that salicylates and antithrombotic agents can reduce the risk of PD, thus providing a novel avenue for future drug exploration in PD.
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