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ABSTRACT: Aim
To discover new salivary biomarkers to diagnose periodontitis and evaluate the impact of age and smoking on predictive capacity.Material and methods
Saliva samples were collected from 44 healthy periodontal individuals and 41 with periodontitis. Samples were analysed by sequential window acquisition of all theoretical mass spectra (SWATH-MS), and proteins were identified by employing the UniProt database. The diagnostic capacity of the molecules was determined with generalized additive models. The models obtained were single-protein unadjusted and adjusted for age and smoking status, besides two-protein combinations.Results
Eight single salivary proteins had a bias-corrected accuracy (bc-ACC) of 78.8%-86.8% (bc-sensitivity/bc-specificity of 62.5%-86.9%/60.9%-98.
SUBMITTER: Blanco-Pintos T
PROVIDER: S-EPMC11743018 | biostudies-literature | 2025 Feb
REPOSITORIES: biostudies-literature