Zhu Anning, Li Peng, Chu Yuzhou, Wei Xiuxiang, Zhao Jiangna, Luo Longfei, Zhang Tao, Yan Juntao
Department of Tuina, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Front Microbiol. 2024 Apr 8;15:1346371. doi: 10.3389/fmicb.2024.1346371. eCollection 2024.
Increasing research has implicated the possible effect of gut microbiota (GM) on the prognosis of ischemic stroke (IS). However, the precise causal relationship between GM and functional outcomes after IS remains unestablished.
Data on 211 GM taxa from the MiBioGen consortium and data on prognosis of IS from the Genetics of Ischemic Stroke Functional Outcome (GISCOME) network were utilized as summary-level data of exposure and outcome. Four kinds of Mendelian randomization (MR) methods were carried out to ascertain the causal effect of GM on functional outcomes following IS. A reverse MR analysis was performed on the positive taxa identified in the forward MR analysis to determine the direction of causation. In addition, we conducted a comparative MR analysis without adjusting the baseline National Institute of Health Stroke Scale (NIHSS) of post-stroke functional outcomes to enhance confidence of the results obtained in the main analysis.
Four taxa were identified to be related to stroke prognosis in both main and comparative analyses. Specifically, genus and the group showed significantly negative effects on stroke prognosis, while the genus group and showed protective effects against stroke prognosis. The reverse MR analysis did not support a causal role of stroke prognosis in GM. No evidence of heterogeneity, horizontal pleiotropy, and outliers was found.
This MR study provided evidence that genetically predicted GM had a causal link with post-stroke outcomes. Specific gut microbiota taxa associated with IS prognosis were identified, which may be helpful to clarify the pathogenesis of ischemic stroke and making treatment strategies.
越来越多的研究表明肠道微生物群(GM)可能对缺血性中风(IS)的预后产生影响。然而,GM与IS后功能结局之间的确切因果关系仍未确定。
来自MiBioGen联盟的211种GM分类群数据以及来自缺血性中风功能结局遗传学(GISCOME)网络的IS预后数据被用作暴露和结局的汇总水平数据。采用四种孟德尔随机化(MR)方法来确定GM对IS后功能结局的因果效应。对正向MR分析中确定的阳性分类群进行反向MR分析,以确定因果关系的方向。此外,我们进行了一项比较MR分析,未调整中风后功能结局的基线国立卫生研究院卒中量表(NIHSS),以增强主要分析结果的可信度。
在主要分析和比较分析中均确定有四种分类群与中风预后相关。具体而言,属和组对中风预后显示出显著的负面影响,而属组和显示出对中风预后的保护作用。反向MR分析不支持中风预后在GM中的因果作用。未发现异质性、水平多效性和异常值的证据。
这项MR研究提供了证据,表明基因预测的GM与中风后结局存在因果联系。确定了与IS预后相关的特定肠道微生物分类群,这可能有助于阐明缺血性中风的发病机制并制定治疗策略。