The predictive power of saliva electrolytes exceeds that of saliva microbiomes in diagnosing early childhood caries
Early childhood caries (ECC) is one of the most prevalent chronic diseases affecting children worldwide, and thus its etiology, diagnosis, and prognosis are of particular clinical significance. This study aims to test the ability of salivary microbiome and electrolytes in diagnosing ECC, and their i...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2021-01-01
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| Series: | Journal of Oral Microbiology |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/20002297.2021.1921486 |
| _version_ | 1818324045420036096 |
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| author | Ying Zhang Shi Huang Songbo Jia Zheng Sun Shanshan Li Fan Li Lijuan Zhang Jie Lu Kaixuan Tan Fei Teng Fang Yang |
| author_facet | Ying Zhang Shi Huang Songbo Jia Zheng Sun Shanshan Li Fan Li Lijuan Zhang Jie Lu Kaixuan Tan Fei Teng Fang Yang |
| author_sort | Ying Zhang |
| collection | DOAJ |
| description | Early childhood caries (ECC) is one of the most prevalent chronic diseases affecting children worldwide, and thus its etiology, diagnosis, and prognosis are of particular clinical significance. This study aims to test the ability of salivary microbiome and electrolytes in diagnosing ECC, and their interplays within the same population. We here simultaneously profiled salivary microbiome and biochemical components of 331 children (166 caries-free (H group) and 165 caries-active children (C group)) aged 4-6 years. We identified both salivary microbial and biochemical dysbiosis associated with ECC. Remarkably, K+, Cl-, NH4+, Na+, SO42-, Ca2+, Mg2+, and Br- were enriched while pH and NO3- were depleted in ECC. Moreover, the dmft index (ECC severity) positively correlated with Cl-, NH4+, Ca2+, Mg2+, Br-, while negatively with pH and NO3-. Furthermore, machine-learning classification models were constructed based on these biomarkers from saliva microbiota, or electrolytes (and pH). Unexpectedly, the electrolyte-based classifier (AUROC = 0.94) outperformed microbiome-based (AUROC = 0.70) one and the composite-based one (with both microbial and biochemical data; AUC = 0.89) in predicting ECC. Collectively, these findings indicate ECC-associated alterations and interplays in the oral microbiota, electrolytes and pH, underscoring the necessity of developing diagnostic models with predictors from salivary electrolytes. |
| first_indexed | 2024-12-13T11:22:21Z |
| format | Article |
| id | doaj.art-debb9dad68d24533b854c66e183361b8 |
| institution | Directory Open Access Journal |
| issn | 2000-2297 |
| language | English |
| last_indexed | 2024-12-13T11:22:21Z |
| publishDate | 2021-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Journal of Oral Microbiology |
| spelling | doaj.art-debb9dad68d24533b854c66e183361b82022-12-21T23:48:25ZengTaylor & Francis GroupJournal of Oral Microbiology2000-22972021-01-0113110.1080/20002297.2021.19214861921486The predictive power of saliva electrolytes exceeds that of saliva microbiomes in diagnosing early childhood cariesYing Zhang0Shi Huang1Songbo Jia2Zheng Sun3Shanshan Li4Fan Li5Lijuan Zhang6Jie Lu7Kaixuan Tan8Fei Teng9Fang Yang10School of Stomatology, Qingdao UniversityCentre of Microbiome Innovation, Jacobs School of Engineering, University of CaliforniaTianjin Children’s HospitalSingle-Cell Center, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of SciencesSchool of Stomatology, Qingdao UniversitySchool of Stomatology, Qingdao UniversityWomen & Children’s Health Care Hospital of LinyiStomatology CentreStomatology CentreSingle-Cell Center, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of SciencesSchool of Stomatology, Qingdao UniversityEarly childhood caries (ECC) is one of the most prevalent chronic diseases affecting children worldwide, and thus its etiology, diagnosis, and prognosis are of particular clinical significance. This study aims to test the ability of salivary microbiome and electrolytes in diagnosing ECC, and their interplays within the same population. We here simultaneously profiled salivary microbiome and biochemical components of 331 children (166 caries-free (H group) and 165 caries-active children (C group)) aged 4-6 years. We identified both salivary microbial and biochemical dysbiosis associated with ECC. Remarkably, K+, Cl-, NH4+, Na+, SO42-, Ca2+, Mg2+, and Br- were enriched while pH and NO3- were depleted in ECC. Moreover, the dmft index (ECC severity) positively correlated with Cl-, NH4+, Ca2+, Mg2+, Br-, while negatively with pH and NO3-. Furthermore, machine-learning classification models were constructed based on these biomarkers from saliva microbiota, or electrolytes (and pH). Unexpectedly, the electrolyte-based classifier (AUROC = 0.94) outperformed microbiome-based (AUROC = 0.70) one and the composite-based one (with both microbial and biochemical data; AUC = 0.89) in predicting ECC. Collectively, these findings indicate ECC-associated alterations and interplays in the oral microbiota, electrolytes and pH, underscoring the necessity of developing diagnostic models with predictors from salivary electrolytes.http://dx.doi.org/10.1080/20002297.2021.1921486dental cariesunstimulated salivaoral microbiomeelectrolytesdiagnostic models |
| spellingShingle | Ying Zhang Shi Huang Songbo Jia Zheng Sun Shanshan Li Fan Li Lijuan Zhang Jie Lu Kaixuan Tan Fei Teng Fang Yang The predictive power of saliva electrolytes exceeds that of saliva microbiomes in diagnosing early childhood caries Journal of Oral Microbiology dental caries unstimulated saliva oral microbiome electrolytes diagnostic models |
| title | The predictive power of saliva electrolytes exceeds that of saliva microbiomes in diagnosing early childhood caries |
| title_full | The predictive power of saliva electrolytes exceeds that of saliva microbiomes in diagnosing early childhood caries |
| title_fullStr | The predictive power of saliva electrolytes exceeds that of saliva microbiomes in diagnosing early childhood caries |
| title_full_unstemmed | The predictive power of saliva electrolytes exceeds that of saliva microbiomes in diagnosing early childhood caries |
| title_short | The predictive power of saliva electrolytes exceeds that of saliva microbiomes in diagnosing early childhood caries |
| title_sort | predictive power of saliva electrolytes exceeds that of saliva microbiomes in diagnosing early childhood caries |
| topic | dental caries unstimulated saliva oral microbiome electrolytes diagnostic models |
| url | http://dx.doi.org/10.1080/20002297.2021.1921486 |
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