Hypercoagulable state and gut microbiota dysbiosis as predictors of poor functional outcomes in acute ischemic stroke patients.

IF 5 2区 生物学 Q1 MICROBIOLOGY
mSystems Pub Date : 2025-04-09 DOI:10.1128/msystems.01492-24
Jie Li, Shengnan Chen, Siqi Yang, Wen Zhang, Xiaoqi Huang, Lang Zhou, Yanchao Liu, Mengxi Li, Yonghui Guo, Jia Yin, Kaiyu Xu
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引用次数: 0

Abstract

Stroke is the second leading cause of death worldwide. Acute ischemic stroke (AIS) patients often exhibit hypercoagulable state and gut microbiota dysbiosis. However, the association between coagulation abnormalities and gut microbiota dysbiosis in AIS patients and their predictive value for poor functional outcomes in AIS has not been investigated. Our study enrolled 95 AIS patients and 81 healthy controls, using 16S rRNA sequencing to analyze gut microbiota composition. Baseline fibrinogen level was found to be an independent risk factor for poor functional outcomes at 90-day follow-up (odds ratio = 2.16, 95% confidence interval: 1.02-4.59, P = 0.044). AIS patients showed significant gut microbiota dysbiosis, with significantly increased Parabacteroides and Alistipes, and decreased Prevotella and Roseburia, associated with coagulation indices. Furthermore, compared with AIS patients with normal coagulation function, those in a hypercoagulable state exhibited a significant increase in Alistipes and a decrease in Prevotella. We identified gut microbial biomarkers consisting of 15 bacteria that predicted poor functional outcome in AIS patients at 90-day follow-up. Coagulation indices improved the predictive performance of these biomarkers. In training and validation cohorts, area under the curve (AUC) values were 0.930 and 0.890 for microbial biomarkers alone, 0.691 and 0.751 for coagulation indices alone, and 0.943 and 0.944 for coagulation indices combined with gut microbial biomarkers. Our study showed that AIS patients with hypercoagulable state had gut microbiota dysbiosis, with Alistipes and Prevotella significantly associated with coagulation indices. A classification model based on coagulation indices and gut microbial biomarkers accurately predicted poor functional outcome in AIS patients at 90-day follow-up.

Importance: Acute ischemic stroke (AIS) patients often exhibit hypercoagulable state and gut microbiota dysbiosis. However, the relationship between hypercoagulable state and gut microbiota dysbiosis in AIS patients and their predictive value for poor functional outcomes has not been fully explored. Our study of 95 AIS patients showed that baseline fibrinogen level was an independent risk factor for poor functional outcome at 90-day follow-up in AIS patients. Hypercoagulable state in AIS patients correlates with gut microbiota dysbiosis. AIS patients with hypercoagulable state had increased Alistipes abundance and decreased Prevotella abundance. A classification model based on coagulation indices and gut microbial biomarkers accurately predicted poor functional outcome in AIS patients at 90-day follow-up.

高凝状态和肠道菌群失调是急性缺血性卒中患者功能不良预后的预测因素。
中风是全球第二大死因。急性缺血性脑卒中(AIS)患者常表现为高凝状态和肠道菌群失调。然而,AIS患者凝血异常与肠道微生物群失调之间的关系及其对AIS功能不良预后的预测价值尚未得到研究。我们的研究招募了95名AIS患者和81名健康对照者,使用16S rRNA测序分析肠道微生物群组成。在90天的随访中,基线纤维蛋白原水平被发现是功能不良结局的独立危险因素(优势比= 2.16,95%可信区间:1.02-4.59,P = 0.044)。AIS患者表现出明显的肠道菌群失调,与凝血指标相关的拟副杆菌群(parabobacteriides)和Alistipes显著增加,普雷沃氏菌群(Prevotella)和Roseburia显著减少。此外,与凝血功能正常的AIS患者相比,高凝状态的AIS患者Alistipes显著升高,Prevotella显著降低。我们确定了由15种细菌组成的肠道微生物生物标志物,这些细菌在90天的随访中预测了AIS患者的不良功能结局。凝血指数提高了这些生物标志物的预测性能。在训练和验证队列中,单独使用微生物标志物的曲线下面积(AUC)分别为0.930和0.890,单独使用凝血指标的曲线下面积(AUC)分别为0.691和0.751,使用凝血指标联合使用肠道微生物标志物的曲线下面积(AUC)分别为0.943和0.944。我们的研究表明,高凝状态AIS患者存在肠道菌群失调,Alistipes和prevotelles与凝血指标显著相关。基于凝血指标和肠道微生物生物标志物的分类模型在90天的随访中准确预测了AIS患者的不良功能结局。重要性:急性缺血性脑卒中(AIS)患者常表现为高凝状态和肠道菌群失调。然而,AIS患者高凝状态与肠道菌群失调之间的关系及其对功能不良预后的预测价值尚未得到充分探讨。我们对95名AIS患者的研究表明,基线纤维蛋白原水平是AIS患者随访90天功能预后不良的独立危险因素。AIS患者高凝状态与肠道菌群失调相关。高凝状态AIS患者阿利斯泰氏菌丰度升高,普雷沃氏菌丰度降低。基于凝血指标和肠道微生物生物标志物的分类模型在90天的随访中准确预测了AIS患者的不良功能结局。
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来源期刊
mSystems
mSystems Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
10.50
自引率
3.10%
发文量
308
审稿时长
13 weeks
期刊介绍: mSystems™ will publish preeminent work that stems from applying technologies for high-throughput analyses to achieve insights into the metabolic and regulatory systems at the scale of both the single cell and microbial communities. The scope of mSystems™ encompasses all important biological and biochemical findings drawn from analyses of large data sets, as well as new computational approaches for deriving these insights. mSystems™ will welcome submissions from researchers who focus on the microbiome, genomics, metagenomics, transcriptomics, metabolomics, proteomics, glycomics, bioinformatics, and computational microbiology. mSystems™ will provide streamlined decisions, while carrying on ASM''s tradition of rigorous peer review.
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