Salivary metabolomic profile associated with cariogenic risk in children.
Autor: | Musalem-Dominguez O; Departament d`Estomatologia, Facultat de Medicina i Odontologia, Universitat de Valencia, Gascó Oliag, 1, Valencia 46010, Spain., Montiel-Company JM; Departament d`Estomatologia, Facultat de Medicina i Odontologia, Universitat de Valencia, Gascó Oliag, 1, Valencia 46010, Spain. Electronic address: jose.maria.montiel@uv.es., Ausina-Márquez V; Department of Dentistry, European University of Valencia, Passeig de l'Albereda, 7, Valencia 46010, Spain., Morales-Tatay JM; Department of Pathology, Medicine and Odontology Faculty, University of Valencia, Valencia 46010, Spain; Research Unit, INCLIVA Health Research Institute, Valencia 46010, Spain., Almerich-Silla JM; Departament d`Estomatologia, Facultat de Medicina i Odontologia, Universitat de Valencia, Gascó Oliag, 1, Valencia 46010, Spain. |
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Jazyk: | angličtina |
Zdroj: | Journal of dentistry [J Dent] 2023 Sep; Vol. 136, pp. 104645. Date of Electronic Publication: 2023 Jul 29. |
DOI: | 10.1016/j.jdent.2023.104645 |
Abstrakt: | Objectives: To identify the metabolomic differences in the saliva of healthy children versus children with active carious lesions and to estimate the predictive capacity of a model based on the salivary metabolomic profile. Methods: A study of cases (n = 31) and controls (n = 37) was designed for children aged between 6 and 12 (mean age of the cases: 8.9; controls: 8.7). The said children attended public health centers in Valencia, Spain. Intraoral examinations were performed by a single examiner using ICDAS II diagnostic criteria. Unstimulated total saliva samples were analyzed by nuclear magnetic resonance (NMR) spectroscopy. Results: The dft index for cases was 2.84 while it was 0.19 for the control group, the DMFT index was 1.13 and 0.11, respectively. The predictive model generated by the multivariate PLS-DA analysis projects a separation between the cases and the controls on the score chart with a predictive capacity and generating an area under the curve of 0.71. The metabolites: 3-methyl-2-oxovalerate, 3-hydroxybutyrate, lactate, acetone, citrate, ornithine, ethanolamine, taurine, proline, glycine, mannose, glucose, 1-6-Anhydro-β-d-glucose and citraconate, are those that show greater significance in the model. In the controls, glycine (Cohen's d = 0.430) and glucose (Cohen's d = 0.560) present higher means compared to the cases. On the contrary, taurine (Cohen's d= -0.474) and mannose (Cohen's d= -0.456) show higher means in cases compared to controls. Conclusions: Our findings show a difference in the salivary metabolomic profiles, specifically in the groups of saccharides and amino acids, suggesting an association of these with the level of caries risk. Clinical Significance: The results reported in the present study reinforce the use of salivary metabolomics as a research method for the search for salivary biomarkers that allow the evaluation of caries risk in patients. Furthermore, it brings us closer to a personalized medicine that will help in dental caries prevention strategies. Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved.) |
Databáze: | MEDLINE |
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