Preliminary analysis of salivary microbiota in catathrenia (nocturnal groaning) using machine learning algorithms.

ABSTRACT:

Objectives

The present study aimed to characterize the salivary microbiota in patients with catathrenia and to longitudinally validate potential biomarkers after treatment with mandibular advancement devices (MAD).

Materials and methods

Twenty-two patients with catathrenia (12 M/10 F, median age 28 y) and 22 age-matched control volunteers (8 M/14 F, median age 30 y) were included in the cross-sectional study. Video/audio polysomnography was conducted for diagnosis. All patients received treatment with custom-fit MAD and were followed for one month. Ten patients (6 M/4 F) underwent post-treatment PSG. Salivary samples were collected, and microbial characteristics were analyzed using 16S rRNA gene sequencing. The 10-fold cross-validated XGBoost and nested Random Forest Classif

SUBMITTER: Yu M 

PROVIDER: S-EPMC12004722 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature