Myasthenia Gravis and Ischemic Stroke: A Bidirectional Mendelian Randomization Study.

IF 2 4区 医学 Q3 CLINICAL NEUROLOGY Current neurovascular research Pub Date : 2023-01-01 DOI:10.2174/1567202620666230703122140
Chen Liu, Chengyuan Mao, Shen Li, Yun Su, Hongbing Liu, Xin Wang, Weishi Liu, Jiawei Zhao, Xuyang Liu, Yuming Xu
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Abstract

Background: Autoimmune diseases are associated with cardiovascular and cerebrovascular diseases. However, whether myasthenia gravis (MG) and ischemic stroke (IS) are causally related remains unclear.

Objectives: This study aimed to evaluate potential causal links between MG and IS using bidirectional Mendelian randomization (MR).

Methods: We conducted a two-sample MR analysis to assess the potential associations between MG and IS. Genetic variants associated with MG and IS as well as their subtypes were extracted from genome-wide association studies by meta-analysis. The inverse-variance weighted method was used for the main MR analysis. Sensitivity analyses, including the MREgger, simple mode, simple median, weighted mode, and weighted median approaches were applied to test the robustness of the results.

Results: The MR analyses indicated no causal effects of general MG on IS of all causes (odds ratio [OR] = 0.990, 95% confidence interval [CI]: 0.953-1.029, p = 0.615), large vessel atherosclerosis stroke (OR = 0.943, 95% CI: 0.856-1.039, p = 0.233), cardioembolic stroke (OR = 0.975, 95% CI: 0.867-1.096, p = 0.670), and small vessel occlusion stroke (OR = 1.059, 95% CI 0.974-1.150, p = 0.178). Subgroup analyses indicated no causal effects of early- or late-onset MG on IS and its subtypes (all p > 0.05). The reverse MR analysis showed no significant causal associations of IS on MG (all p > 0.05).

Conclusion: Bidirectional MR analysis did not provide evidence to support a causal relationship between genetically predicted MG and IS, although observational studies have found such a potential link.

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重症肌无力和缺血性中风:一项双向孟德尔随机研究。
背景:自身免疫性疾病与心脑血管疾病相关。然而,重症肌无力(MG)与缺血性脑卒中(IS)是否存在因果关系尚不清楚。目的:本研究旨在利用双向孟德尔随机化(MR)评估MG和IS之间的潜在因果关系。方法:我们进行了两个样本的MR分析,以评估MG和IS之间的潜在关联。通过荟萃分析,从全基因组关联研究中提取与MG和IS相关的遗传变异及其亚型。主MR分析采用反方差加权法。采用敏感性分析,包括MREgger、简单模型、简单中位数、加权模型和加权中位数方法来检验结果的稳健性。结果:磁共振分析显示,一般MG对所有原因的IS(优势比[OR] = 0.990, 95%可信区间[CI]: 0.953-1.029, p = 0.615)、大血管动脉粥样硬化卒中(OR = 0.943, 95% CI: 0.856-1.039, p = 0.233)、心栓塞性卒中(OR = 0.975, 95% CI: 0.867-1.096, p = 0.670)和小血管闭塞性卒中(OR = 1.059, 95% CI 0.974-1.150, p = 0.178)无因果影响。亚组分析显示早、晚发病MG对IS及其亚型无因果影响(均p > 0.05)。反向MR分析显示IS与MG无显著的因果关系(p > 0.05)。结论:双向磁共振分析没有提供证据支持遗传预测MG和IS之间的因果关系,尽管观察性研究已经发现了这种潜在的联系。
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来源期刊
Current neurovascular research
Current neurovascular research 医学-临床神经学
CiteScore
3.80
自引率
9.50%
发文量
54
审稿时长
3 months
期刊介绍: Current Neurovascular Research provides a cross platform for the publication of scientifically rigorous research that addresses disease mechanisms of both neuronal and vascular origins in neuroscience. The journal serves as an international forum publishing novel and original work as well as timely neuroscience research articles, full-length/mini reviews in the disciplines of cell developmental disorders, plasticity, and degeneration that bridges the gap between basic science research and clinical discovery. Current Neurovascular Research emphasizes the elucidation of disease mechanisms, both cellular and molecular, which can impact the development of unique therapeutic strategies for neuronal and vascular disorders.
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