Association between 23 drugs and Parkinson's disease: A two‐sample Mendelian randomization study
Zhixin Xie, Haobin Zhou, Ziyu Qiu, Zhongxi Fan, Weisheng Yang, Jingbai Zhang, Yezhong Wang, Yongyi Ye- Behavioral Neuroscience
Abstract
Background
Parkinson'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).
Methods
The 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.
Results
In 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.
Conclusion
This 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.