Study on Saliva Microbial Community and Construction of Prediction Model for Young Children with Caries

doi:10.13701/j.cnki.kqyxyj.2024.09.005

Abstract

Abstract: Objective: To analyze the influencing factors of early childhood caries (ECC) and to provide a basis for exploring the correlation between ECC and flora and establishing a comprehensive diagnostic model of ECC through high-throughput sequencing on saliva of children with different caries status. Methods: Children were examined orally and divided into three groups according to the Results: Caries free (CF) group, ECC group, and Severe early childhood caries (SECC) group. The influencing factors of ECC were investigated by questionnaire. At the same time, saliva of three groups of children was collected for high-throughput sequencing, and a disease diagnosis model based on the above results was established by receiver operating characteristic curve (ROC). Results: There was significant statistical difference in the composition of microbial communities among groups with different caries status (P<0.05). Among the top 15 bacterial genera, the abundance levels of Veillonella, Leptotrichia, and Alloprevotella were significantly different (P<0.05). Veillonella and Leptotrichia were the marker species of ECC group. Alloprevotella was significantly enriched in SECC group. The area under the ROC curve for screening children with high caries risk was 0.754, which was based on the age of weaning from bottle feeding, the combined application of Veillonella, Leptotrichia, and Alloprevotella. Conclusion: Veillonella, Leptotrichia, and Alloprevotella may be potential cariogenic bacteria in saliva of children with caries. The age of weaning from bottle feeding, the combined application of Veillonella, Leptotrichia, and Alloprevotella are of diagnostic value for screening children with high caries.

Key words: early childhood caries, microbial community, prediction model, high-throughput sequencing

LIN Xiuyan, ZHAO Caiyun, SHI Hong. Study on Saliva Microbial Community and Construction of Prediction Model for Young Children with Caries[J]. Journal of Oral Science Research, 2024, 40(9): 778-784.

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