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脉压对偏头痛风险的因果效应评估:一项孟德尔随机化研究
Authors Xu H, Qin X, Feng Z, You S
Received 18 January 2025
Accepted for publication 31 May 2025
Published 25 June 2025 Volume 2025:18 Pages 3159—3170
DOI https://doi.org/10.2147/JPR.S512795
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Prof. Dr. Alexandre F DaSilva
Hongli Xu,1,* Xiaoyan Qin,2,* Zeguo Feng,3 Shaohua You3
1Medical Big Data Research Center, Medical Innovation Research Department of PLA General Hospital, Beijing, 100853, People’s Republic of China; 2Department of Clinical Laboratory, Shijingshan Teaching Hospital of Capital Medical University, Beijing Shijingshan Hospital, Beijing, 100049, People’s Republic of China; 3Department of Pain Medicine, The First Medical Center of Chinese PLA General Hospital, Beijing, 100853, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Shaohua You, Department of Pain Medicine, The First Medical Center of Chinese PLA General Hospital, Beijing, 100853, People’s Republic of China, Email youshaohua301@126.com Zeguo Feng, Department of Pain Medicine, The First Medical Center of Chinese PLA General Hospital, Beijing, 100853, People’s Republic of China, Email BEIJING301@yeah.net
Background: Migraine is notably prevalent among young individuals and women, who generally demonstrate favorable arterial compliance. Pulse pressure is a reliable measure of arterial compliance; nevertheless, the association between pulse pressure and migraine is not well understood.
Aim: To investigate the potential causal relationship between pulse pressure and the risk of migraine using Mendelian randomization (MR).
Methods: The pulse pressure studies mainly involved participants of European descent, while the migraine studies included individuals from various parts of the UK. The primary analysis used Inverse Variance Weighted (IVW) method, supplemented by weighted median and MR-Egger regression. Validation data came from the FinnGen study. Genes linked to pulse pressure were analyzed for Gene Ontology (GO) and KEGG enrichment using the DAVID platform.
Results: Single-nucleotide polymorphisms linked to pulse pressure were sourced from a GWAS database (810,865 individuals), while migraine data came from UK Biobank (13,971 cases, 470,627 controls). The IVW method showed an OR of 0.992 [95% confidence interval (CI), 0.987– 0.997; p = 0.002]. Both weighted median (OR 0.988; 95% CI, 0.982– 0.994; p < 0.001) and MR-Egger (OR 0.985; 95% CI, 0.972– 0.997; p = 0.016) analyses confirmed a negative causal link between pulse pressure and migraine risk. The MR-Egger intercept analysis showed minimal evidence of horizontal pleiotropy (b = 0.00013, SE = 0.00010, p = 0.209). Finnish data confirmed a causal link between migraine and pulse pressure, with the IVW method indicating a significant association (OR = 0.790, 95% CI: 0.676– 0.922; p = 0.003). KEGG enrichment analysis revealed significant pathways regulating pulse pressure, many related to cardiovascular disease and type 2 diabetes.
Conclusion: MR analysis showed that pulse pressure causally affects migraines, potentially explaining why young people and women experience more migraines, while those with type 2 diabetes have a lower risk. Further research is needed to understand this relationship.
Keywords: migraine, pulse pressure, gwas, causal association, Mendelian randomization