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Identification of a Biomarker Panel for Diagnosis of Early Childhood Caries Using Salivary Metabolic Profile

Several studies have demonstrated that nuclear magnetic resonance (NMR) metabolic profiles can differentiate patients with caries from healthy individuals; however, these studies only identified individual metabolites. The present study aimed to identify a salivary metabolite biomarker panel for the...

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Autores principales: Kim, Seonghye, Song, Yuri, Kim, Seyeon, Kim, Siyeong, Na, Heesam, Lee, Sujin, Chung, Jin, Kim, Suhkmann
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10052657/
https://www.ncbi.nlm.nih.gov/pubmed/36984796
http://dx.doi.org/10.3390/metabo13030356
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author Kim, Seonghye
Song, Yuri
Kim, Seyeon
Kim, Siyeong
Na, Heesam
Lee, Sujin
Chung, Jin
Kim, Suhkmann
author_facet Kim, Seonghye
Song, Yuri
Kim, Seyeon
Kim, Siyeong
Na, Heesam
Lee, Sujin
Chung, Jin
Kim, Suhkmann
author_sort Kim, Seonghye
collection PubMed
description Several studies have demonstrated that nuclear magnetic resonance (NMR) metabolic profiles can differentiate patients with caries from healthy individuals; however, these studies only identified individual metabolites. The present study aimed to identify a salivary metabolite biomarker panel for the diagnosis of early childhood caries (ECC). Saliva samples from children with and without caries were analyzed using NMR spectroscopy. Multivariate and univariate analyses were performed to identify the discriminating metabolites. Selected metabolites were further evaluated and used to detect ECC. The saliva samples of children with ECC were characterized based on the increased levels of formate, glycerophosphocholine, and lactate and reduced levels of alanine, glycine, isoleucine, lysine, proline, and tyrosine. The levels of these metabolites were significantly different from those in the control in the ECC subgroup according to caries severity and correlated with the number of decayed and filled teeth or surfaces. Subsequently, an optimal salivary metabolite biomarker panel comprising formate, lactate, proline, and glycine was developed. This panel exhibited a better diagnostic performance for ECC than a single metabolite. These results demonstrate that salivary metabolic signatures can reflect oral conditions associated with dental caries, thereby emphasizing the importance of distinct salivary metabolic profiles as potential biomarkers of ECC.
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spelling pubmed-100526572023-03-30 Identification of a Biomarker Panel for Diagnosis of Early Childhood Caries Using Salivary Metabolic Profile Kim, Seonghye Song, Yuri Kim, Seyeon Kim, Siyeong Na, Heesam Lee, Sujin Chung, Jin Kim, Suhkmann Metabolites Article Several studies have demonstrated that nuclear magnetic resonance (NMR) metabolic profiles can differentiate patients with caries from healthy individuals; however, these studies only identified individual metabolites. The present study aimed to identify a salivary metabolite biomarker panel for the diagnosis of early childhood caries (ECC). Saliva samples from children with and without caries were analyzed using NMR spectroscopy. Multivariate and univariate analyses were performed to identify the discriminating metabolites. Selected metabolites were further evaluated and used to detect ECC. The saliva samples of children with ECC were characterized based on the increased levels of formate, glycerophosphocholine, and lactate and reduced levels of alanine, glycine, isoleucine, lysine, proline, and tyrosine. The levels of these metabolites were significantly different from those in the control in the ECC subgroup according to caries severity and correlated with the number of decayed and filled teeth or surfaces. Subsequently, an optimal salivary metabolite biomarker panel comprising formate, lactate, proline, and glycine was developed. This panel exhibited a better diagnostic performance for ECC than a single metabolite. These results demonstrate that salivary metabolic signatures can reflect oral conditions associated with dental caries, thereby emphasizing the importance of distinct salivary metabolic profiles as potential biomarkers of ECC. MDPI 2023-02-27 /pmc/articles/PMC10052657/ /pubmed/36984796 http://dx.doi.org/10.3390/metabo13030356 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kim, Seonghye
Song, Yuri
Kim, Seyeon
Kim, Siyeong
Na, Heesam
Lee, Sujin
Chung, Jin
Kim, Suhkmann
Identification of a Biomarker Panel for Diagnosis of Early Childhood Caries Using Salivary Metabolic Profile
title Identification of a Biomarker Panel for Diagnosis of Early Childhood Caries Using Salivary Metabolic Profile
title_full Identification of a Biomarker Panel for Diagnosis of Early Childhood Caries Using Salivary Metabolic Profile
title_fullStr Identification of a Biomarker Panel for Diagnosis of Early Childhood Caries Using Salivary Metabolic Profile
title_full_unstemmed Identification of a Biomarker Panel for Diagnosis of Early Childhood Caries Using Salivary Metabolic Profile
title_short Identification of a Biomarker Panel for Diagnosis of Early Childhood Caries Using Salivary Metabolic Profile
title_sort identification of a biomarker panel for diagnosis of early childhood caries using salivary metabolic profile
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10052657/
https://www.ncbi.nlm.nih.gov/pubmed/36984796
http://dx.doi.org/10.3390/metabo13030356
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