Multikingdom oral microbiome interactions in early-onset cryptogenic ischemic stroke.

IF 5.1 Q1 ECOLOGY ISME communications Pub Date : 2024-06-20 eCollection Date: 2024-01-01 DOI:10.1093/ismeco/ycae088
Muhammed Manzoor, Jaakko Leskelä, Milla Pietiäinen, Nicolas Martinez-Majander, Pauli Ylikotila, Eija Könönen, Teemu Niiranen, Leo Lahti, Juha Sinisalo, Jukka Putaala, Pirkko J Pussinen, Susanna Paju
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Abstract

Although knowledge of the role of the oral microbiome in ischemic stroke is steadily increasing, little is known about the multikingdom microbiota interactions and their consequences. We enrolled participants from a prospective multicentre case-control study and investigated multikingdom microbiome differences using saliva metagenomic datasets (n = 308) from young patients diagnosed with cryptogenic ischemic stroke (CIS) and age- and sex-matched stroke-free controls. Differentially abundant taxa were identified using Analysis of Compositions of Microbiomes with Bias Correction (ANCOM-BC2). Functional potential was inferred using HUMANn3. Our findings revealed significant differences in the composition and functional capacity of the oral microbiota associated with CIS. We identified 51 microbial species, including 47 bacterial, 3 viral, and one fungal species associated with CIS in the adjusted model. Co-abundance network analysis highlighted a more intricate microbial network in CIS patients, indicating potential interactions and co-occurrence patterns among microbial species across kingdoms. The results of our metagenomic analysis reflect the complexity of the oral microbiome, with high diversity and multikingdom interactions, which may play a role in health and disease.

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早发隐源性缺血性脑卒中中多组口腔微生物群的相互作用。
虽然人们对口腔微生物群在缺血性中风中的作用的了解在稳步增加,但对多微生物群之间的相互作用及其后果却知之甚少。我们从一项前瞻性多中心病例对照研究中招募了参与者,并利用唾液元基因组数据集(n = 308)研究了多微生物群的差异,这些数据集来自被诊断为隐源性缺血性中风(CIS)的年轻患者以及年龄和性别匹配的无中风对照组。利用带偏差校正的微生物组成分分析(ANCOM-BC2)确定了差异丰富的类群。使用 HUMANn3 推断功能潜力。我们的研究结果表明,与 CIS 相关的口腔微生物群的组成和功能能力存在明显差异。在调整后的模型中,我们发现了 51 种微生物,包括 47 种细菌、3 种病毒和 1 种真菌与 CIS 相关。共丰度网络分析显示,CIS 患者的微生物网络更加错综复杂,表明不同微生物物种之间存在潜在的相互作用和共存模式。我们的元基因组分析结果反映了口腔微生物群的复杂性,具有高度的多样性和多领域的相互作用,这可能在健康和疾病中发挥作用。
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