PDF(Pubmed)
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.
摘要：
尽管对口腔微生物组在缺血性卒中中的作用的认识正在稳步增加，人们对多王国微生物群的相互作用及其后果知之甚少。我们从一项前瞻性多中心病例对照研究中招募参与者，并使用唾液宏基因组数据集（n=308）调查了来自诊断为隐源性缺血性卒中（CIS）的年轻患者以及年龄和性别匹配的无卒中对照的多王国微生物组差异。使用具有偏差校正的微生物组组成分析(ANCOM-BC2)鉴定差异丰富的分类单元。使用HUMANn3推断功能潜力。我们的发现揭示了与CIS相关的口腔微生物群的组成和功能能力的显着差异。我们鉴定出51种微生物,包括47种细菌,3病毒，和一个与CIS相关的真菌物种在调整后的模型中。共丰度网络分析强调了CIS患者中更复杂的微生物网络，表明王国中微生物物种之间的潜在相互作用和共同发生模式。我们的宏基因组分析结果反映了口腔微生物组的复杂性，具有高度多样性和多王国互动，可能在健康和疾病中发挥作用。
