Oral microbiome characteristics in children with and without early childhood caries
1Department of Stomatology, Wuxi Children’s Hospital, 214023 Wuxi, Jiangsu, China
2State Key Laboratory of Food Science and Technology, Jiangnan University, 214122 Wuxi, Jiangsu, China
3School of Food Science and Technology, Jiangnan University, 214122 Wuxi, Jiangsu, China
4Wuxi Translational Medicine Research Center and Jiangsu Translational Medicine Research Institute Wuxi Branch, 214122 Wuxi, Jiangsu, China
5National Engineering Research Center for Functional Food, Jiangnan University, 214122 Wuxi, Jiangsu, China
DOI: 10.22514/jocpd.2023.012 Vol.47,Issue 2,March 2023 pp.58-67
Submitted: 14 October 2022 Accepted: 05 December 2022
Published: 03 March 2023
† These authors contributed equally.
Objective: Early childhood caries (ECC) negatively affects children’s growth due to its close relation to an imbalance of the oral microbiota. This study aimed to evaluate the distribution of the oral microbiota in children with ECC and healthy individuals. Methods: The oral microbiota of 20 children with dental caries from both carious teeth (CC cohort) and healthy teeth (CH cohort), and the oral microbiota of 20 healthy control children (HH cohort) were subjected to 16S rDNA sequencing. Results: The results revealed significant differences between the microbial structure of the CC and CH cohorts of every child with ECC. The most common microbes were Streptococcus, Neisseria, Leptotrichia, Lautropia and Haemophilus. Specifically, the CC cohort contained Lactobacillus, Veillonella, and Prevotella 7, the CH cohort contained Actinomyces, Bifidobacterium and Abiotrophia, and the HH cohort mainly contained Neisseria, Leptotrichia, Porphyromonas and Gemella. Lastly, we established a random forest model consisting of 10 genera (Prevotella 7, Actinobacillus, etc.) which demonstrated promising clinical diagnostic ability (area under the curve (AUC) = 89.8%). These findings indicate that oral microbiota can potentially be used as therapeutic targets or diagnostic markers for the early prediction and prevention of caries in children.
Early childhood caries; Oral microbiota; 16S rDNA sequencing; Randomforest model; Biomarker
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