Unveiling potential driver taxa in subgingival plaque and their roles in mediating periodontitis progression.

ABSTRACT:

Background

Periodontitis progression is accompanied by a succession of the oral microbiome. However, the dynamic microbial transitions that link different disease stages and contribute to disease progression remain incompletely understood.

Objective

This study aims to identify microbial taxa that may serve as potential drivers underlying increasing severity of periodontitis.

Design

Subgingival sample 16S rRNA gene sequencing data were reprocessed for quality control and taxonomic annotation. MaAsLin2 was used to identify microbial differences between groups, and co-occurrence networks were built based on the differential taxa. NetMoss algorithm was applied to identify key microbes driving the transition from health to periodontitis. Correlation and mediation analyses

SUBMITTER: Xu T 

PROVIDER: S-EPMC12777760 | biostudies-literature | 2026

REPOSITORIES: biostudies-literature