Back to Search Start Over

Metabolic Profiles of Whole, Parotid and Submandibular/Sublingual Saliva

Authors :
Marco Meleti
Eleonora Quartieri
Rita Antonelli
Margherita E. Pezzi
Benedetta Ghezzi
Maria Vittoria Viani
Giacomo Setti
Emanuela Casali
Elena Ferrari
Tecla Ciociola
Alberto Spisni
Thelma A. Pertinhez
Source :
Metabolites, Vol 10, Iss 8, p 318 (2020)
Publication Year :
2020
Publisher :
MDPI AG, 2020.

Abstract

The detection of salivary molecules associated with pathological and physiological alterations has encouraged the search of novel and non-invasive diagnostic biomarkers for oral health evaluation. While genomic, transcriptomic, and proteomic profiles of human saliva have been reported, its metabolic composition is a topic of research: metabolites in submandibular/sublingual saliva have never been analyzed systematically. In this study, samples of whole, parotid, and submandibular/sublingual saliva from 20 healthy donors, without dental or periodontal diseases, were examined by nuclear magnetic resonance. We identified metabolites which are differently distributed within the three saliva subtypes (54 in whole, 49 in parotid, and 36 in submandibular/sublingual saliva). Principal component analysis revealed a distinct cluster for whole saliva and a partial overlap for parotid and submandibular/sublingual metabolites. We found exclusive metabolites for each subtype: 2-hydroxy-3-methylvalerate, 3-methyl-glutarate, 3-phenylpropionate, 4-hydroxyphenylacetate, 4-hydroxyphenyllactate, galactose, and isocaproate in whole saliva; caprylate and glycolate in submandibular/sublingual saliva; arginine in parotid saliva. Salivary metabolites were classified into standard and non-proteinogenic amino acids and amines; simple carbohydrates; organic acids; bacterial-derived metabolites. The identification of a salivary gland-specific metabolic composition in healthy people provides the basis to invigorate the search for salivary biomarkers associated with oral and systemic diseases.

Details

Language :
English
ISSN :
22181989
Volume :
10
Issue :
8
Database :
Directory of Open Access Journals
Journal :
Metabolites
Publication Type :
Academic Journal
Accession number :
edsdoj.988a01db3ff402ca4bc1203531f2fa1
Document Type :
article
Full Text :
https://doi.org/10.3390/metabo10080318