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Association between 23 drugs and Parkinson's disease: A two‐sample Mendelian randomization study

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 randomizati...

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Autores principales: Xie, Zhixin, Zhou, Haobin, Qiu, Ziyu, Fan, Zhongxi, Yang, Weisheng, Zhang, Jingbai, Wang, Yezhong, Ye, Yongyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636399/
https://www.ncbi.nlm.nih.gov/pubmed/37654024
http://dx.doi.org/10.1002/brb3.3225
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author Xie, Zhixin
Zhou, Haobin
Qiu, Ziyu
Fan, Zhongxi
Yang, Weisheng
Zhang, Jingbai
Wang, Yezhong
Ye, Yongyi
author_facet Xie, Zhixin
Zhou, Haobin
Qiu, Ziyu
Fan, Zhongxi
Yang, Weisheng
Zhang, Jingbai
Wang, Yezhong
Ye, Yongyi
author_sort Xie, Zhixin
collection PubMed
description 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.
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spelling pubmed-106363992023-11-15 Association between 23 drugs and Parkinson's disease: A two‐sample Mendelian randomization study Xie, Zhixin Zhou, Haobin Qiu, Ziyu Fan, Zhongxi Yang, Weisheng Zhang, Jingbai Wang, Yezhong Ye, Yongyi Brain Behav Original Article 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. John Wiley and Sons Inc. 2023-08-31 /pmc/articles/PMC10636399/ /pubmed/37654024 http://dx.doi.org/10.1002/brb3.3225 Text en © 2023 The Authors. Brain and Behavior published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Xie, Zhixin
Zhou, Haobin
Qiu, Ziyu
Fan, Zhongxi
Yang, Weisheng
Zhang, Jingbai
Wang, Yezhong
Ye, Yongyi
Association between 23 drugs and Parkinson's disease: A two‐sample Mendelian randomization study
title Association between 23 drugs and Parkinson's disease: A two‐sample Mendelian randomization study
title_full Association between 23 drugs and Parkinson's disease: A two‐sample Mendelian randomization study
title_fullStr Association between 23 drugs and Parkinson's disease: A two‐sample Mendelian randomization study
title_full_unstemmed Association between 23 drugs and Parkinson's disease: A two‐sample Mendelian randomization study
title_short Association between 23 drugs and Parkinson's disease: A two‐sample Mendelian randomization study
title_sort association between 23 drugs and parkinson's disease: a two‐sample mendelian randomization study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636399/
https://www.ncbi.nlm.nih.gov/pubmed/37654024
http://dx.doi.org/10.1002/brb3.3225
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