Journal of clinical periodontology · 2026
Oral-Rinse-Sourced Microbiota in Oral Health and Diseases in a Representative US Adult Population: Implications for Diagnostics.
СтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Xie Yu, Artacho Alejandro, Yu Xiaoyu, Bi Mengning, Li Hairui, Li Yuan, Roccuzzo Andrea, Mira Alex, Rosier Bob T, Tonetti Maurizio S
Аннотация
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: Based on our results, oral-rinse microbiota captures disease-specific signatures across oral conditions, supporting its potential as a non-invasive tool to monitor oral microbial ecology and assess periodontitis severity at the population level.
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: Based on our results, oral-rinse microbiota captures disease-specific signatures across oral conditions, supporting its potential as a non-invasive tool to monitor oral microbial ecology and assess periodontitis severity at the population level.