Department of Clinical Medicine, The Second Clinical College of Guangzhou Medical University, Guangzhou, Guangdong, China.
Department of Clinical Medicine, The First Clinical College of Guangzhou Medical University, Guangzhou, Guangdong, China.
Brain Behav. 2023 Nov;13(11):e3225. doi: 10.1002/brb3.3225. Epub 2023 Aug 31.
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).
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.
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.
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.
帕金森病(PD)是一种常见的退行性神经系统疾病。目前,各种旨在预防或延缓 PD 进展的治疗选择都存在一定的局限性。因此,探索 PD 的新药是有益的。孟德尔随机化(MR)分析可用于探索药物与疾病之间的关联。在这项研究中,采用 MR 分析来研究 23 种药物与 PD 之间的因果关系。这些药物已被批准用于治疗不同的疾病,如水杨酸及其衍生物(统称水杨酸盐,如用于解热镇痛的阿司匹林)、抗血栓药物(如华法林、阿司匹林,用于预防血栓事件)。
23 种药物的 GWAS 数据来自英国生物银行(UKB)项目,而 PD 的 GWAS 数据则来自芬兰遗传研究(FinnGen)。单核苷酸多态性(SNPs)被选为工具变量(IVs)。我们首先进行了一系列质量控制步骤(包括 MR-PRESSO),以选择合适的 SNPs。使用五种不同的方法(包括随机效应模型的逆方差加权(IVW)、加权中位数、MR-Egger、简单模型和加权模型)进行两样本 MR 分析。同时,使用 MR-Egger 和 Cochrane's Q 检验进行敏感性分析,以确保结果的真实性和可靠性。
在 MR-PRESSO 中,水杨酸盐和抗血栓药物与 PD 分别呈统计学显著关联。在主要的 MR 分析(IVW)中,水杨酸盐与 PD 之间存在负向因果关系(OR=0.73,95%CI=0.54-0.98,p=0.039)。同样,抗血栓药物与 PD 之间也存在负向因果关系(OR=0.70,95%CI=0.52-0.96,p=0.027)。其余 21 种药物与 PD 之间未发现统计学显著关联。
这项 MR 研究表明,水杨酸盐和抗血栓药物可以降低 PD 的风险,从而为 PD 的新药探索提供了新途径。