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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MDPI AG
2023-02-01
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| Series: | Metabolites |
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| Online Access: | https://www.mdpi.com/2218-1989/13/3/356 |
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| author | Seonghye Kim Yuri Song Seyeon Kim Siyeong Kim Heesam Na Sujin Lee Jin Chung Suhkmann Kim |
| author_facet | Seonghye Kim Yuri Song Seyeon Kim Siyeong Kim Heesam Na Sujin Lee Jin Chung Suhkmann Kim |
| author_sort | Seonghye Kim |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-11T06:10:58Z |
| format | Article |
| id | doaj.art-0cc36ebec1104ef2bc8c96f09ce96b53 |
| institution | Directory Open Access Journal |
| issn | 2218-1989 |
| language | English |
| last_indexed | 2024-03-11T06:10:58Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Metabolites |
| spelling | doaj.art-0cc36ebec1104ef2bc8c96f09ce96b532023-11-17T12:36:20ZengMDPI AGMetabolites2218-19892023-02-0113335610.3390/metabo13030356Identification of a Biomarker Panel for Diagnosis of Early Childhood Caries Using Salivary Metabolic ProfileSeonghye Kim0Yuri Song1Seyeon Kim2Siyeong Kim3Heesam Na4Sujin Lee5Jin Chung6Suhkmann Kim7Department of Chemistry and Chemistry Institute for Functional Materials, Pusan National University, Busan 46241, Republic of KoreaDepartment of Oral Microbiology, School of Dentistry, Pusan National University, Yangsan 50612, Republic of KoreaDepartment of Dental Hygiene, Jinju Health College, Jinju 52655, Republic of KoreaOral Genomics Research Center, Pusan National University, Yangsan 50612, Republic of KoreaDepartment of Oral Microbiology, School of Dentistry, Pusan National University, Yangsan 50612, Republic of KoreaDepartment of Chemistry and Chemistry Institute for Functional Materials, Pusan National University, Busan 46241, Republic of KoreaDepartment of Oral Microbiology, School of Dentistry, Pusan National University, Yangsan 50612, Republic of KoreaDepartment of Chemistry and Chemistry Institute for Functional Materials, Pusan National University, Busan 46241, Republic of KoreaSeveral 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.https://www.mdpi.com/2218-1989/13/3/356dental cariessalivametabolic profilingnuclear magnetic resonance spectroscopy |
| spellingShingle | Seonghye Kim Yuri Song Seyeon Kim Siyeong Kim Heesam Na Sujin Lee Jin Chung Suhkmann Kim Identification of a Biomarker Panel for Diagnosis of Early Childhood Caries Using Salivary Metabolic Profile Metabolites dental caries saliva metabolic profiling nuclear magnetic resonance spectroscopy |
| 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 | dental caries saliva metabolic profiling nuclear magnetic resonance spectroscopy |
| url | https://www.mdpi.com/2218-1989/13/3/356 |
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