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Nonselective beta-adrenoceptor blocker use and risk of Parkinson’s disease: from multiple real-world evidence

BACKGROUND: People with hypertension have a higher risk of developing Parkinson’s disease (PD), epidemiological evidence suggests that multiple antihypertensives may affect the occurrence and development of PD with inconsistent results. With multisource data, we sought to determine whether specific...

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Autores principales: Feng, Zeying, Zhao, Qiuping, Wu, Jingjing, Yang, Yiping, Jia, Xinru, Ma, Junlong, Tang, Haibo, Yuan, Hong, Yang, Guoping, Lu, Yao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647086/
https://www.ncbi.nlm.nih.gov/pubmed/37964359
http://dx.doi.org/10.1186/s12916-023-03122-z
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author Feng, Zeying
Zhao, Qiuping
Wu, Jingjing
Yang, Yiping
Jia, Xinru
Ma, Junlong
Tang, Haibo
Yuan, Hong
Yang, Guoping
Lu, Yao
author_facet Feng, Zeying
Zhao, Qiuping
Wu, Jingjing
Yang, Yiping
Jia, Xinru
Ma, Junlong
Tang, Haibo
Yuan, Hong
Yang, Guoping
Lu, Yao
author_sort Feng, Zeying
collection PubMed
description BACKGROUND: People with hypertension have a higher risk of developing Parkinson’s disease (PD), epidemiological evidence suggests that multiple antihypertensives may affect the occurrence and development of PD with inconsistent results. With multisource data, we sought to determine whether specific antihypertensive classes elevated or reduced the risk for PD. METHODS: We used a mixed methods approach that combines 4 methodologies. First, we conducted a disproportionality analysis using the reports causing adverse events in the US Food and Drug Administration Adverse Events Reporting System (FAERS) to explore the effect of different classes of antihypertensive medications on the risk of PD; based on the findings from FAERS, a meta-analysis and a UK Biobank cohort analysis were used to further assess the association of drug use with PD; finally, we employed Mendelian randomization (MR) analysis to validate the causal relationship between the drug target and the occurrence of PD. RESULTS: In the disproportionality analysis using the FAERS (N = 187,266), nonselective beta-adrenoceptor blockers (NBBs) were demonstrated to have a significant association with PD (reporting odds ratio (ROR) = 3.13; 95% CI 2.33–4.22). In the meta-analysis of 12 studies with 12,183,809 participants, PD risk was elevated in NBBs (RR, 1.64; 95% CI, 1.19–2.09) when stratified by subtypes of BBs. Among the 105,763 participants included in the cohort analysis using data from the UK Biobank, individuals who used NBBs had a significantly increased risk of PD compared to nonusers (HR, 1.47; 95% CI 1.04–2.06). The MR analysis revealed a significant association between higher expression of the β2 adrenergic receptor (ADRB2) gene, a drug target blocked by NBBs, and a reduced risk of PD (OR, 0.85; 95% CI 0.73–0.99). CONCLUSIONS: Our comprehensive study indicated that regular NBB use is associated with an increased risk of PD. In light of the detrimental effects of NBBs on PD, some people should choose alternative antihypertensive treatments. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-023-03122-z.
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spelling pubmed-106470862023-11-14 Nonselective beta-adrenoceptor blocker use and risk of Parkinson’s disease: from multiple real-world evidence Feng, Zeying Zhao, Qiuping Wu, Jingjing Yang, Yiping Jia, Xinru Ma, Junlong Tang, Haibo Yuan, Hong Yang, Guoping Lu, Yao BMC Med Research Article BACKGROUND: People with hypertension have a higher risk of developing Parkinson’s disease (PD), epidemiological evidence suggests that multiple antihypertensives may affect the occurrence and development of PD with inconsistent results. With multisource data, we sought to determine whether specific antihypertensive classes elevated or reduced the risk for PD. METHODS: We used a mixed methods approach that combines 4 methodologies. First, we conducted a disproportionality analysis using the reports causing adverse events in the US Food and Drug Administration Adverse Events Reporting System (FAERS) to explore the effect of different classes of antihypertensive medications on the risk of PD; based on the findings from FAERS, a meta-analysis and a UK Biobank cohort analysis were used to further assess the association of drug use with PD; finally, we employed Mendelian randomization (MR) analysis to validate the causal relationship between the drug target and the occurrence of PD. RESULTS: In the disproportionality analysis using the FAERS (N = 187,266), nonselective beta-adrenoceptor blockers (NBBs) were demonstrated to have a significant association with PD (reporting odds ratio (ROR) = 3.13; 95% CI 2.33–4.22). In the meta-analysis of 12 studies with 12,183,809 participants, PD risk was elevated in NBBs (RR, 1.64; 95% CI, 1.19–2.09) when stratified by subtypes of BBs. Among the 105,763 participants included in the cohort analysis using data from the UK Biobank, individuals who used NBBs had a significantly increased risk of PD compared to nonusers (HR, 1.47; 95% CI 1.04–2.06). The MR analysis revealed a significant association between higher expression of the β2 adrenergic receptor (ADRB2) gene, a drug target blocked by NBBs, and a reduced risk of PD (OR, 0.85; 95% CI 0.73–0.99). CONCLUSIONS: Our comprehensive study indicated that regular NBB use is associated with an increased risk of PD. In light of the detrimental effects of NBBs on PD, some people should choose alternative antihypertensive treatments. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-023-03122-z. BioMed Central 2023-11-14 /pmc/articles/PMC10647086/ /pubmed/37964359 http://dx.doi.org/10.1186/s12916-023-03122-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Feng, Zeying
Zhao, Qiuping
Wu, Jingjing
Yang, Yiping
Jia, Xinru
Ma, Junlong
Tang, Haibo
Yuan, Hong
Yang, Guoping
Lu, Yao
Nonselective beta-adrenoceptor blocker use and risk of Parkinson’s disease: from multiple real-world evidence
title Nonselective beta-adrenoceptor blocker use and risk of Parkinson’s disease: from multiple real-world evidence
title_full Nonselective beta-adrenoceptor blocker use and risk of Parkinson’s disease: from multiple real-world evidence
title_fullStr Nonselective beta-adrenoceptor blocker use and risk of Parkinson’s disease: from multiple real-world evidence
title_full_unstemmed Nonselective beta-adrenoceptor blocker use and risk of Parkinson’s disease: from multiple real-world evidence
title_short Nonselective beta-adrenoceptor blocker use and risk of Parkinson’s disease: from multiple real-world evidence
title_sort nonselective beta-adrenoceptor blocker use and risk of parkinson’s disease: from multiple real-world evidence
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647086/
https://www.ncbi.nlm.nih.gov/pubmed/37964359
http://dx.doi.org/10.1186/s12916-023-03122-z
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