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SAL_16633 details
Primary information
SALIDSAL_16633
Biomarker nameS-methyl pentanethioate
Biomarker TypeNA
Sampling MethodHealthy patients (n = 15), subjects with submandibular abscesses located in fascial deep space (n = 10), and subjects with halitosis (n = 5) were enrolled in the study.
Collection MethodSterile polypropylene tubes (5 mL) packed separately were used for the collection of oral fluid
Analysis MethodHS-SPME+GC/MS
Collection SiteSaliva
Disease CategoryDental Disorder
Disease/ConditionHalitosis
Disease SubtypeNA
Fold Change/ ConcentrationNA
Up/DownregulatedNA
ExosomalNA
OrganismHomo sapiens
PMID31426356
Year of Publication2019
Biomarker ID546060
Biomarker CategoryMetabolite
SequenceCCCCC(=O)SC
Title of studyVOC Profiles of Saliva in Assessment of Halitosis and Submandibular Abscesses Using HS-SPME-GC/MS Technique
Abstract of studyHalitosis and submandibular abscesses are examples of mouth-related diseases with the possible bacterial origin. Salivary volatile organic compounds (VOCs) are potential biomarkers of them, once they can be addressed as metabolites of bacterial activity. Healthy patients (n = 15), subjects with submandibular abscesses located in fascial deep space (n = 10), and subjects with halitosis (n = 5) were enrolled in the study. Saliva samples were subjected to headspace solid-phase microextraction (HS-SPME) and gas chromatography coupled to mass spectrometry (GC/MS) analysis. A total number of 164 VOCs was detected by the developed methodology, 23 specific for halitosis and 41 for abscess. Halitosis' profiles were characterized by a larger number of sulfur compounds, while for abscess they had a higher variety of alcohols, aldehydes, and hydrocarbons-biomarkers of inflammatory processes. Principal components analysis allowed visualization of clusters formed according to the evaluated conditions. Kruskal-Wallis test indicated that 39 VOCs presented differentiated responses between the studied groups, with statistical relevance (p < 0.05). Random forest was applied, and a prediction model based on eight VOCs (2-butanone, methyl thioacetate, 2-methylbutanoic acid, S-methyl pentanethioate, dimethyl tetrasulfide, indolizine, pentadecane, and octadecanal) provided 100% of sensitivity, 82% of specificity, and 91% of balanced accuracy, indicating the specific presence of submandibular abscess.