Department of Dentistry and Oral Surgery, Faculty of Medicine, Osaka Medical and Pharmaceutical University.
Department of Hygiene and Public Health, Faculty of Medicine, Osaka Medical and Pharmaceutical University.
J Atheroscler Thromb. 2023 Jul 1;30(7):820-833. doi: 10.5551/jat.63681. Epub 2022 Sep 22.
Oral health is associated with atherosclerotic cardiovascular disease (ACVD). We previously identified the salivary microbiota characteristics of patients with ACVD. However, whether salivary microbiota is characteristic under impaired vascular endothelial function before ACVD onset remains unclear. Therefore, we aimed to evaluate the characteristics of salivary microbiota associated with peripheral microvascular endothelial dysfunction.
We collected saliva samples from 172 community-dwelling elderly individuals without a history of ACVD and performed 16S rRNA metagenomic analysis. We assessed the peripheral microvascular endothelial function using reactive hyperemia index (RHI) and compared the salivary microbiota in the groups with normal (RHI ≥ 2.10), borderline, and abnormal (RHI ＜1.67) peripheral endothelial function. Furthermore, we applied machine learning techniques to evaluate whether salivary microbiota could discriminate between individuals with normal and abnormal endothelial function.
The number of operational taxonomic units (OTUs) was higher in the abnormal group than in the normal group (p=0.037), and differences were found in the overall salivary microbiota structure (unweighted UniFrac distances, p=0.038). The linear discriminant analysis (LDA) effect size (LEfSe) algorithm revealed several significantly differentially abundant bacterial genera between the two groups. An Extra Trees classifier model was built to discriminate between groups with normal and abnormal vascular endothelial function based on the microbial composition at the genus level (AUC=0.810).
The salivary microbiota in individuals with endothelial dysfunction was distinct from that in individuals with normal endothelial function, indicating that the salivary microbiota may be related to endothelial function.
口腔健康与动脉粥样硬化性心血管疾病（ACVD）有关。我们之前确定了 ACVD 患者的唾液微生物群特征。然而，在 ACVD 发病前血管内皮功能受损时，唾液微生物群是否具有特征仍不清楚。因此，我们旨在评估与外周微血管内皮功能障碍相关的唾液微生物群特征。
我们收集了 172 名无 ACVD 病史的社区居住老年人的唾液样本，并进行了 16S rRNA 宏基因组分析。我们使用反应性充血指数（RHI）评估外周微血管内皮功能，并比较了 RHI 正常（RHI≥2.10）、边界和异常（RHI＜1.67）的外周内皮功能组的唾液微生物群。此外，我们应用机器学习技术来评估唾液微生物群是否可以区分正常和异常内皮功能的个体。
异常组的操作分类单位（OTUs）数量高于正常组（p=0.037），并且整体唾液微生物群结构存在差异（非加权 UniFrac 距离，p=0.038）。线性判别分析（LDA）效应大小（LEfSe）算法显示两组之间存在几个明显差异丰富的细菌属。基于属水平的微生物组成，建立了一个 Extra Trees 分类器模型来区分正常和异常血管内皮功能组（AUC=0.810）。
内皮功能障碍个体的唾液微生物群与内皮功能正常个体的唾液微生物群明显不同，表明唾液微生物群可能与内皮功能有关。
