Oral‐Rinse‐Sourced Microbiota in Oral Health and Diseases in a Representative US Adult Population: Implications for Diagnostics

作者：Yu Xie, Alejandro Artacho, Xiaoyu Yu, Mengning Bi, Hairui Li, Yuan Li, Andrea Roccuzzo, Alex Mira, Bob T. Rosier, Maurizio S. Tonetti · 发表于：Journal Of Clinical Periodontology · 年份：2026 · DOI：10.1111/jcpe.70101 · 被引用次数：3 · 研究领域：Oral microbiology and periodontitis research、Gut microbiota and health、Dental Health and Care Utilization

AIMS: To investigate the associations between oral-rinse microbiota and distinct oral conditions, and further evaluate its potential ability to distinguish periodontitis severity. METHODS: Oral-rinse-sourced microbiota with 16S ribosomal RNA sequencing from 3770 adults in US National Health and Nutrition Examination Survey 2009-2012 were analysed across oral health, caries, periodontitis, co-existing caries and periodontitis and edentulism. Diagnostic potential of the oral-rinse microbiota for periodontitis severity was evaluated using multi-class random forest (RF) model with internal validation and external validation in an independent cohort (n = 392). RESULTS: Oral condition accounted for substantial variance in oral-rinse microbiota, revealing disease or tooth loss-associated shifts. Increasing acidogenic/aciduric taxa (Veillonella, Lactobacillus, Atopobium) or periodontitis-associated taxa (Filifactor, Treponema, Tannerella) were identified in caries-only or periodontitis-only groups, respectively, while the co-existing disease group showed overlapping shifts. Taxa shifted dose-dependently with increasing periodontitis severity. The RF model achieved moderate performance in identifying severe periodontitis, with the area under the receiver operating characteristic curve (AUROC) of 0.81 (0.75-0.87) internally and 0.83 (0.77-0.88) externally. Key contributing taxa aligned with established periodontitis-associated genera, supporting model interpretability. CONCLUSION: Base...