ArticleBMC oral health2023
Oral microbial communities in 5-year-old children with versus without dental caries.
Article in BMC oral health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Early Childhood Caries in Preschool Children: A Multidimensional Analysis From Biological Mechanisms to Socioecological Interventions.Oral diseases · 2026Review
- Multicohort external validation ofFrontiers in cellular and infection microbiology · 2026Article
- Oral bacteriome in pediatric patients with malignancies prior to chemotherapy: a pilot study using full-length 16S rRNA sequencing.Frontiers in cellular and infection microbiology · 2026Article
- Mapping the oral microbiome in children with oral diseases using next-generation sequencing: a systematic review.Journal of oral microbiology · 2026Review
- Article
- Imbalance of oral microbiome homeostasis: the relationship between microbiota and the occurrence of dental caries.BMC microbiology · 2025Article
- Correlation of tongue coating thickness with microinflammatory state and oral microbiome in maintenance hemodialysis patients.Journal of oral microbiology · 2025Article
- A comparative study of microbial changes in dental plaque before and after single- and multiappointment treatments in patients with severe early childhood caries.BMC oral health · 2024Article
- Comparison the salivaryHeliyon · 2024Article
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6 authors.
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Abstract
backgroundCaries in young children has received more and more attention. The study of the oral microbiota may help to understand the polymicrobial etiology of dental caries.
objectivesTo investigate the diversity and structure of microbial communities in saliva samples from 5-year-old children with versus without dental caries.
methodsA total of 36 saliva samples were collected from 18 children with high caries (HB group) and from 18 children without caries (NB group). Then, 16S rDNA was amplified from bacterial samples using polymerase chain reaction, and high-throughput sequencing was performed using Illumina Novaseq platforms.
resultsSequences were clustered into operational taxonomic units (OTUs), which were distributed among 16 phyla, 26 classes, 56 orders, 93 families, 173 genera, and 218 species. Firmicutes, Bacteroides, Proteobacteria, Actinobacteria, Fusobacteria, Patescibacteria, Epsilonbacteraeota, Cyanobacteria, Acidobacteria and Spirochaetes were basically the same in different groups, but their relative abundances were different. The core microbiome was defined as the species from 218 shared microbial taxa. The alpha diversity test showed that there were no significant differences in microbial abundance and diversity between the high caries and no caries groups. The results from principal coordinate analysis (PCoA) and hierarchical clustering showed that the two groups had similar microorganisms. The biomarkers of different groups were defined by LEfSe analysis to identify potential caries-related and health-related bacteria. Co-occurrence network analysis of dominant genera showed that oral microbial communities in the no caries group were more complex and aggregated than those in the high caries group. Finally, the PICRUSt algorithm was used to predict the function of the microbial communities from saliva samples. The obtained results showed that mineral absorption was greater in the no caries group than in the high caries group. BugBase was used to determine phenotypes present in microbial community samples. The obtained results showed that Streptococcus was greater in the high caries group than in the no caries group.
conclusionFindings of this study provide a comprehensive understanding of the microbiological etiology of dental caries in 5-year-old children and are expected to provide new methods for its prevention and treatment.
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