Author:
Li Kai,Wang Jinmei,Du Ning,Sun Yanjie,Sun Qi,Yin Weiwei,Li Huiying,Meng Lingqiang,Liu Xuecong
Abstract
AbstractBackgroundSevere early childhood caries (SECC) is an inflammatory disease with complex pathology. Although changes in the oral microbiota and metabolic profile of patients with SECC have been identified, the salivary metabolites and the relationship between oral bacteria and biochemical metabolism remains unclear. We aimed to analyse alterations in the salivary microbiome and metabolome of children with SECC as well as their correlations. Accordingly, we aimed to explore potential salivary biomarkers in order to gain further insight into the pathophysiology of dental caries.MethodsWe collected 120 saliva samples from 30 children with SECC and 30 children without caries. The microbial community was identified through 16S ribosomal RNA (rRNA) gene high-throughput sequencing. Additionally, we conducted non-targeted metabolomic analysis through ultra-high-performance liquid chromatography combined with quadrupole time-of-flight mass spectrometry to determine the relative metabolite levels and their correlation with the clinical caries status.ResultsThere was a significant between-group difference in 8 phyla and 32 genera in the microbiome. Further, metabolomic and enrichment analyses revealed significantly altered 32 salivary metabolites in children with dental caries, which involved pathways such as amino acid metabolism, pyrimidine metabolism, purine metabolism, ATP-binding cassette transporters, and cyclic adenosine monophosphate signalling pathway. Moreover, four in vivo differential metabolites (2-benzylmalate, epinephrine, 2-formaminobenzoylacetate, and 3-Indoleacrylic acid) might be jointly applied as biomarkers (area under the curve = 0.734). Furthermore, the caries status was correlated with microorganisms and metabolites. Additionally, Spearman's correlation analysis of differential microorganisms and metabolites revealed thatVeillonella,Staphylococcus,Neisseria, andPorphyromonaswere closely associated with differential metabolites.ConclusionThis study identified different microbial communities and metabolic profiles in saliva, which may be closely related to caries status. Our findings could inform future strategies for personalized caries prevention, detection, and treatment.
Funder
Health Commission of Hebei Province
Government Funding for Health Excellence Specialists(2021)
Publisher
Springer Science and Business Media LLC
Reference83 articles.
1. World Health Organization. Sugars and dental caries. World Health Organization, 2017.
2. American Academy of Pediatric Dentistry. Policy on early childhood caries (ECC): classifications, consequences, and preventive strategies. Pediatr Dent. 2016;38(6):52–4.
3. Anil S, Anand PS. Early childhood caries: prevalence, risk factors, and prevention. Front Pediatr. 2017;5:157.
4. Ismail AI, Lim S, Sohn W, et al. Determinants of early childhood caries in low-income African American young children. Pediatr Dent. 2008;30(4):289–96.
5. Ellakany P, Madi M, Fouda SM, et al. The effect of parental education and socioeconomic status on dental caries among Saudi children. Int J Environ Res Public Health. 2021;18(22):11862.
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献