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.

Metabolic profiles of whole, parotid and submandibular/sublingual saliva / Meleti, M.; Quartieri, E.; Antonelli, R.; Pezzi, M. E.; Ghezzi, B.; Viani, M. V.; Setti, G.; Casali, E.; Ferrari, E.; Ciociola, T.; Spisni, A.; Pertinhez, T. A.. - In: METABOLITES. - ISSN 2218-1989. - 10:8(2020), pp. 1-11. [10.3390/metabo10080318]

Metabolic profiles of whole, parotid and submandibular/sublingual saliva

Meleti M.;Quartieri E.;Antonelli R.;Ghezzi B.;Setti G.;Casali E.;Ferrari E.;Ciociola T.;Spisni A.;Pertinhez T. A.
2020-01-01

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.
2020
Metabolic profiles of whole, parotid and submandibular/sublingual saliva / Meleti, M.; Quartieri, E.; Antonelli, R.; Pezzi, M. E.; Ghezzi, B.; Viani, M. V.; Setti, G.; Casali, E.; Ferrari, E.; Ciociola, T.; Spisni, A.; Pertinhez, T. A.. - In: METABOLITES. - ISSN 2218-1989. - 10:8(2020), pp. 1-11. [10.3390/metabo10080318]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/2879788
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