Association of Genetically Predicted Anxiety and Depression With Functional Outcome After Ischemic Stroke: A Mendelian Randomization Study.

IF 8.5 1区 医学 Q1 CLINICAL NEUROLOGY
Neurology Pub Date : 2024-09-10 Epub Date: 2024-08-08 DOI:10.1212/WNL.0000000000209776
Zhizhong Zhang, Mengmeng Wang, Dipender Gill, Xinfeng Liu, Wusheng Zhu
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引用次数: 0

Abstract

Background and objectives: Anxiety and depression have implications for ischemic stroke recovery. This study explored the association of genetically predicted anxiety and depression with functional outcome after ischemic stroke using Mendelian randomization (MR) approach.

Methods: Independent genetic variants associated with anxiety and depression at genome-wide significance level (p < 5 × 10-8) were obtained from large-scale genome-wide association studies (Nmax = 1,306,354). Genetic results of poststroke outcome were obtained from Genetics of Ischemic Stroke Functional Outcome meta-analysis (N = 6,021). Three months after ischemic stroke event, the functional outcome was appraised with the modified Rankin Scale (mRS) score, and a mRS >2 was defined as worse functional outcome. Odds ratios (ORs) and 95% CIs are reported for the association of genetically predicted anxiety and depression with functional outcome after ischemic stroke. The inverse-variance weighted method was adopted to pool estimates. Alternative MR methods such as the weighted median and MR using the Robust Adjusted Profile Score were used as sensitivity analyses. The intercept of MR-Egger regression was also adopted to assess pleiotropy. The heterogeneity among variants was assessed by I2 and Q statistics.

Results: Genetic liability to depression was associated with worse functional outcome after stroke (mRS 3-6, OR 2.30; 95% CI 1.18-4.49, p = 0.015). Sensitivity analyses produced consistent results. The bidirectional MR analysis indicates that poststroke outcome did not influence liability to depression (OR 1.01, 95% CI 0.99-1.03; p = 0.436). By comparison, genetic liability to anxiety was not related with poststroke outcome (OR 1.03; 95% CI 0.71-1.50; p = 0.869). Analyses in models without adjustment for stroke severity also indicated that genetic liability to depression was related with poor functional outcome after ischemic stroke (OR 2.54; 95% CI 1.41-4.58; p = 0.002). No evidence of heterogeneity or directional pleiotropy was observed (p > 0.05).

Discussion: Our MR study provides evidence to support detrimental effects of depression on ischemic stroke functional outcome. Future studies are warranted to explore whether clinical intervention on depression can ameliorate functional outcome after ischemic stroke.

基因预测的焦虑和抑郁与缺血性脑卒中后功能结果的关系:孟德尔随机化研究
背景和目的:焦虑和抑郁对缺血性脑卒中的康复有影响。本研究采用孟德尔随机化(MR)方法探讨了遗传学预测的焦虑和抑郁与缺血性脑卒中后功能预后的关系:方法:从大规模全基因组关联研究(Nmax = 1,306,354)中获得与焦虑和抑郁相关的全基因组显著性水平(p < 5 × 10-8)的独立遗传变异。卒中后预后的遗传结果来自缺血性卒中功能预后遗传学荟萃分析(N = 6,021)。缺血性脑卒中发生三个月后,用改良Rankin量表(mRS)评分评估功能预后,mRS>2定义为功能预后较差。报告了遗传预测的焦虑和抑郁与缺血性脑卒中后功能预后的相关性的比值比(OR)和 95% CI。采用逆方差加权法汇总估计值。作为敏感性分析,采用了其他 MR 方法,如加权中位数法和使用稳健调整特征评分的 MR 法。还采用了MR-Egger回归的截距来评估多向性。变异体之间的异质性通过I2和Q统计量进行评估:结果:抑郁的遗传易感性与中风后较差的功能预后有关(mRS 3-6,OR 2.30;95% CI 1.18-4.49,p = 0.015)。敏感性分析结果一致。双向 MR 分析表明,卒中后的结果并不影响抑郁的遗传倾向(OR 1.01,95% CI 0.99-1.03;p = 0.436)。相比之下,焦虑遗传与卒中后的结果无关(OR 1.03; 95% CI 0.71-1.50; p = 0.869)。在未调整卒中严重程度的模型中进行的分析也表明,抑郁的遗传易感性与缺血性卒中后的不良功能预后有关(OR 2.54;95% CI 1.41-4.58;p = 0.002)。没有观察到异质性或方向性多效应的证据(p > 0.05):我们的磁共振研究为抑郁症对缺血性卒中功能预后的不利影响提供了证据。讨论:我们的磁共振研究为抑郁症对缺血性卒中功能预后的不利影响提供了证据,今后的研究有必要探讨对抑郁症的临床干预能否改善缺血性卒中后的功能预后。
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来源期刊
Neurology
Neurology 医学-临床神经学
CiteScore
12.20
自引率
4.00%
发文量
1973
审稿时长
2-3 weeks
期刊介绍: Neurology, the official journal of the American Academy of Neurology, aspires to be the premier peer-reviewed journal for clinical neurology research. Its mission is to publish exceptional peer-reviewed original research articles, editorials, and reviews to improve patient care, education, clinical research, and professionalism in neurology. As the leading clinical neurology journal worldwide, Neurology targets physicians specializing in nervous system diseases and conditions. It aims to advance the field by presenting new basic and clinical research that influences neurological practice. The journal is a leading source of cutting-edge, peer-reviewed information for the neurology community worldwide. Editorial content includes Research, Clinical/Scientific Notes, Views, Historical Neurology, NeuroImages, Humanities, Letters, and position papers from the American Academy of Neurology. The online version is considered the definitive version, encompassing all available content. Neurology is indexed in prestigious databases such as MEDLINE/PubMed, Embase, Scopus, Biological Abstracts®, PsycINFO®, Current Contents®, Web of Science®, CrossRef, and Google Scholar.
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