Journal of Capital Medical University ›› 2025, Vol. 46 ›› Issue (1): 22-33.doi: 10.3969/j.issn.1006-7795.2025.01.005

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Exploring the causal relationship between extensive perivascular space burden and ischemic stroke and its subtypes and transient ischemic attack based on Mendelian randomization

Chu Xuehong1, Shen Yingjie2, Wang Yaolou2,Dong Xiao1,Liu Yuanyuan1,Feng Yan3,Jiang Miaowen4,Li Ming5,Ji Xunming1,Wu Chuanjie1*   

  1. 1.Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing  100053, China;2. Department of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin 150001,  China;3.Department of Neurology, Suzhou Hospital of Anhui Medical University, Suzhou 234000,  Anhui Province, China;4. Beijing Institute for Brain Disorders, Capital Medical University, Beijing 100069, China;5. Beijing Institute of Geriatrics, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
  • Received:2024-11-15 Online:2025-02-21 Published:2025-02-24
  • Supported by:
    This study was supported by National Natural Science Foundation of China (82071468 and 82271507), Beijing Science Foundation for Distinguished Young Scholars (JQ24041), Beijing Physician Scientist Training Project (BJPSTP-2024-04).

Abstract: Objective  To investigate the association between extensive perivascular space (EPVS) burden in different locations and ischemic stroke (IS), its subtypes, and transient ischemic attack (TIA) through Mendelian randomization (MR) analysis. Methods  The summary data from large-scale Genome-wide Association Studies (GWAS) and various MR methods were employed. We applied multivariable MR to mitigate potential confounding factors and conduct sensitivity analyses to enhance result robustness. Subsequently, meta-analysis was utilized to integrate causal relationships between EPVS burden in different locations and IS from various sources. Additionally, reverse MR was employed to observe the impact of various IS types on EPVS burden. Finally, linkage disequilibrium score regression was conducted to assess genetic correlations between exposures and outcomes.  Results  EPVS burden in both the white matter (OR=1.12, 95% CI: 1.01-1.25; P = 0.04) and basal ganglia (OR=1.57, 95% CI:1.30-1.89; P < 0.01) are significant risk factors for IS. EPVS burden in the basal ganglia is also a risk for IS (small-vessel) (OR=4.56,95% CI:2.57-8.27; P = 5.95×10-7). After IS and TIA there seems to be a potential increase in extensive basal ganglia perivascular space burden. Conclusions  Extensive white matter perivascular space burden and extensive basal ganglia perivascular space burden may serve as important indicators to predict IS.

Key words: extensive perivascular space burden, ischemic stroke, causal relationship, Mendelian randomization

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