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肠道微生物群、免疫细胞与缺血性中风之间的遗传支持因果关系:一项两样本孟德尔随机化研究。

Genetically supported causality between gut microbiota, immune cells, and ischemic stroke: a two-sample Mendelian randomization study.

作者信息

Shuai Han, Wang Zi, Xiao Yinggang, Ge Yali, Mao Hua, Gao Ju

机构信息

Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, China.

Peking University People's Hospital, Qingdao Women and Children's Hospital, Qingdao University, Qingdao, China.

出版信息

Front Microbiol. 2024 Jun 4;15:1402718. doi: 10.3389/fmicb.2024.1402718. eCollection 2024.


DOI:10.3389/fmicb.2024.1402718
PMID:38894965
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11185428/
Abstract

BACKGROUND: Previous studies have highlighted a robust correlation between gut microbiota/immune cells and ischemic stroke (IS). However, the precise nature of their causal relationship remains uncertain. To address this gap, our study aims to meticulously investigate the causal association between gut microbiota/immune cells and the likelihood of developing IS, employing a two-sample Mendelian randomization (MR) analysis. METHODS: Our comprehensive analysis utilized summary statistics from genome-wide association studies (GWAS) on gut microbiota, immune cells, and IS. The primary MR method employed was the inverse variance-weighted (IVW) approach. To address potential pleiotropy and identify outlier genetic variants, we incorporated the Mendelian randomization pleiotropy residual sum and outlier (MR-PRESSO) technique, along with MR-Egger regression. Heterogeneity was assessed using Cochran's Q-test. Additionally, leave-one-out analysis was conducted to pinpoint any individual genetic variant influencing the observed causal associations. Finally, a reverse MR analysis was performed to explore the potential of reverse causation. RESULTS: Our investigation revealed four gut microbial taxa and 16 immune cells with a significant causal relationship with IS ( < 0.05). Notably, two bacterial features and five immunophenotypes were strongly associated with a lower IS risk: genus. (OR: 0.907, 95% CI: 0.836-0.983, = 0.018), genus. (OR: 0.918, 95% CI: 0.853-0.983, = 0.988), Activated & resting Treg % CD4++ (OR: 0.977, 95% CI: 0.956-0.998, = 0.028). Additionally, significant associations between IS risk and two bacterial features along with eleven immunophenotypes were observed: genus. (OR: 1.106, 95% CI: 1.043-1.172, < 0.001), genus. (OR: 1.119, 95% CI: 1.034-1.210, = 0.005), CD127 on granulocyte (OR: 1.039, 95% CI: 1.009-1.070, = 0.011). Our analyses did not reveal heterogeneity based on the Cochrane's Q-test ( > 0.05) nor indicate instances of horizontal pleiotropy according to MR-Egger and MR-PRESSO analyses ( > 0.05). Furthermore, the robustness of our MR results was confirmed through leave-one-out analysis. CONCLUSION: Our study provides further evidence supporting the potential association between gut microbiota and immune cells in relation to IS, shedding light on the underlying mechanisms that may contribute to this condition. These findings lay a solid foundation for future investigations into targeted prevention strategies.

摘要

背景:先前的研究强调了肠道微生物群/免疫细胞与缺血性中风(IS)之间存在密切关联。然而,它们因果关系的确切性质仍不确定。为了填补这一空白,我们的研究旨在通过两样本孟德尔随机化(MR)分析,细致地探究肠道微生物群/免疫细胞与发生IS可能性之间的因果关联。 方法:我们的综合分析利用了关于肠道微生物群、免疫细胞和IS的全基因组关联研究(GWAS)的汇总统计数据。采用的主要MR方法是逆方差加权(IVW)法。为了解决潜在的多效性并识别异常遗传变异,我们纳入了孟德尔随机化多效性残差和异常值(MR-PRESSO)技术以及MR-Egger回归。使用Cochran's Q检验评估异质性。此外,进行了留一法分析,以确定任何影响观察到的因果关联的单个遗传变异。最后,进行了反向MR分析,以探索反向因果关系的可能性。 结果:我们的研究发现四种肠道微生物分类群和16种免疫细胞与IS存在显著因果关系(<0.05)。值得注意的是,两种细菌特征和五种免疫表型与较低的IS风险密切相关:属。(比值比:0.907,95%置信区间:0.836-0.983,=0.018),属。(比值比:0.918,95%置信区间:0.853-0.983,=0.988),活化及静息调节性T细胞% CD4++(比值比:0.977,95%置信区间:0.956-0.998,=0.028)。此外,观察到IS风险与两种细菌特征以及十一种免疫表型之间存在显著关联:属。(比值比:1.106,95%置信区间:1.043-1.172,<0.001),属。(比值比:1.119,95%置信区间:1.034-1.210,=0.005),粒细胞上的CD127(比值比:1.039,95%置信区间:1.009-1.070,=0.011)。我们的分析基于Cochran's Q检验未发现异质性(>0.05),根据MR-Egger和MR-PRESSO分析也未表明存在水平多效性情况(>0.05)。此外,通过留一法分析证实了我们MR结果的稳健性。 结论:我们的研究提供了进一步的证据,支持肠道微生物群和免疫细胞与IS之间的潜在关联,揭示了可能导致这种疾病的潜在机制。这些发现为未来针对性预防策略的研究奠定了坚实基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed25/11185428/2fb4e205ec45/fmicb-15-1402718-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed25/11185428/d4846ce109de/fmicb-15-1402718-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed25/11185428/10dfaae03ed3/fmicb-15-1402718-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed25/11185428/05d9a7a4471f/fmicb-15-1402718-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed25/11185428/2fb4e205ec45/fmicb-15-1402718-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed25/11185428/d4846ce109de/fmicb-15-1402718-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed25/11185428/10dfaae03ed3/fmicb-15-1402718-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed25/11185428/05d9a7a4471f/fmicb-15-1402718-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed25/11185428/2fb4e205ec45/fmicb-15-1402718-g004.jpg

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[4]
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[5]
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[6]
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[7]
Immune Pathways in Etiology, Acute Phase, and Chronic Sequelae of Ischemic Stroke.

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[9]
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[10]
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