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特定的肠道微生物群特征可预测急性缺血性中风的风险。

Specific gut microbiome signatures predict the risk of acute ischemic stroke.

作者信息

Yu Shicheng, Shi Jiayu, Yu Gaojie, Xu Jin, Dong Yiyao, Lin Yan, Xie Huijia, Liu Jiaming, Sun Jing

机构信息

Department of Geriatrics, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.

Department of Preventive Medicine, School of Public Health, Wenzhou Medical University, Wenzhou, Zhejiang, China.

出版信息

Front Aging Neurosci. 2024 Nov 8;16:1451968. doi: 10.3389/fnagi.2024.1451968. eCollection 2024.

DOI:10.3389/fnagi.2024.1451968
PMID:39582952
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11582031/
Abstract

INTRODUCTION

Numerous studies have reported alterations in the composition of gut microbiota in patients with acute ischemic stroke (AIS), with changes becoming more pronounced as the disease progresses. However, the association between the progression of transient ischemic attack (TIA) and AIS remains unclear. This study aims to elucidate the microbial differences among TIA, AIS, and healthy controls (HC) while exploring the associations between disease progression and gut microbiota.

METHODS

Fecal samples were collected from acute TIA patients ( = 28), AIS patients ( = 235), and healthy controls ( = 75) and analyzed using 16 s rRNA gene sequencing. We determined characteristic microbiota through linear discriminant analysis effect size and used the receiver operating characteristic (ROC) curve to assess their predictive value as diagnostic biomarkers.

RESULTS

Our results showed significant gut microbial differences among the TIA, AIS, and HC groups. Patients with AIS exhibited higher abundances of and along with lower abundances of and _UCG-004. Further analysis revealed that the abundance of characteristic bacteria, such as and , was negatively correlated with HDL levels, while was positively correlated with risk factors such as homocysteine (Hcy). In contrast, the abundance of _UCG-004 was negatively correlated with both Hcy and D-dimer levels. ROC models based on the characteristic bacteria and effectively distinguished TIA from AIS, yielding areas under the curve of 0.699 and 0.626, respectively.

CONCLUSION

We identified distinct changes in gut bacteria associated with the progression from TIA to AIS and highlighted specific characteristic bacteria as predictive biomarkers. Overall, our findings may promote the development of microbiome-oriented diagnostic methods for the early detection of AIS.

摘要

引言

大量研究报告了急性缺血性中风(AIS)患者肠道微生物群组成的改变,且随着疾病进展,这些变化变得更加明显。然而,短暂性脑缺血发作(TIA)与AIS进展之间的关联仍不清楚。本研究旨在阐明TIA、AIS和健康对照(HC)之间的微生物差异,同时探索疾病进展与肠道微生物群之间的关联。

方法

收集急性TIA患者(n = 28)、AIS患者(n = 235)和健康对照(n = 75)的粪便样本,并使用16s rRNA基因测序进行分析。我们通过线性判别分析效应大小确定特征微生物群,并使用受试者工作特征(ROC)曲线评估它们作为诊断生物标志物的预测价值。

结果

我们的结果显示TIA、AIS和HC组之间存在明显的肠道微生物差异。AIS患者表现出[具体菌名1]和[具体菌名2]丰度较高,同时[具体菌名3]和_UCG - 004丰度较低。进一步分析表明,[具体菌名1]和[具体菌名2]等特征细菌的丰度与高密度脂蛋白(HDL)水平呈负相关,而[具体菌名3]与同型半胱氨酸(Hcy)等危险因素呈正相关。相比之下,_UCG - 004的丰度与Hcy和D - 二聚体水平均呈负相关。基于特征细菌[具体菌名1]和[具体菌名2]的ROC模型有效地将TIA与AIS区分开来,曲线下面积分别为0.699和0.626。

结论

我们确定了与从TIA进展到AIS相关的肠道细菌的明显变化,并强调了特定的特征细菌作为预测生物标志物。总体而言,我们的发现可能会促进以微生物组为导向的诊断方法的发展,用于AIS的早期检测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e76/11582031/59b49cd2d8f3/fnagi-16-1451968-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e76/11582031/56ab1a792ef3/fnagi-16-1451968-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e76/11582031/a82dec3b874e/fnagi-16-1451968-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e76/11582031/86de2922ed7f/fnagi-16-1451968-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e76/11582031/a97eaf04e2fb/fnagi-16-1451968-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e76/11582031/59b49cd2d8f3/fnagi-16-1451968-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e76/11582031/56ab1a792ef3/fnagi-16-1451968-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e76/11582031/a82dec3b874e/fnagi-16-1451968-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e76/11582031/86de2922ed7f/fnagi-16-1451968-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e76/11582031/a97eaf04e2fb/fnagi-16-1451968-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e76/11582031/59b49cd2d8f3/fnagi-16-1451968-g005.jpg

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