Alterations of the salivary microbiome in obstructive sleep apnea and their association with periodontitisOriginal paper
Karen Pendergrass is a microbiome researcher specializing in microbiome-targeted interventions (MBTIs). She systematically analyzes scientific literature to identify microbial patterns, develop hypotheses, and validate interventions. As the founder of the Microbiome Signatures Database, she bridges microbiome research with clinical practice. In 2012, based on her own investigative research, she became the first documented case of FMT for Celiac Disease, four years before the first published case study.
Read MoreWhat was studied?
Researchers compared the salivary microbiome across four groups: healthy controls, obstructive sleep apnea (OSA) only, periodontitis only, and patients with both OSA and periodontitis (OSA+PD). The goal was to find microbial markers linking the two conditions.
How was it studied?
This cross-sectional study enrolled 125 adults (26 healthy, 42 OSA, 15 periodontitis, 42 OSA+PD) who underwent overnight polysomnography and periodontal exams. Saliva was analyzed by 16S ribosomal DNA sequencing, with ROC curves built to test key taxa as diagnostic markers.
What did they find?
Microbial richness was reduced in all patient groups versus healthy controls, with periodontitis showing the highest diversity and evenness. Tannerella, Treponema, Prevotella, Slackia, and Streptococcus constellatus differed significantly between groups, and OSA groups showed more aerobic and fewer anaerobic microbial profiles. Rothia and Parvimonas distinguished OSA from OSA+PD (AUC 0.715 and 0.702), while Rothia alone distinguished periodontitis from OSA+PD (AUC 0.879).
Why it matters
OSA appears linked to distinct salivary microbial shifts that may drive early periodontal dysbiosis, with Rothia emerging as a candidate biomarker. As a cross-sectional study, it cannot establish causality, so longitudinal work is needed to confirm these markers' predictive value.