2022
DOI: 10.1186/s40168-022-01442-5
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Evaluating the ecological hypothesis: early life salivary microbiome assembly predicts dental caries in a longitudinal case-control study

Abstract: Background Early childhood caries (ECC)—dental caries (cavities) occurring in primary teeth up to age 6 years—is a prevalent childhood oral disease with a microbial etiology. Streptococcus mutans was previously considered a primary cause, but recent research promotes the ecologic hypothesis, in which a dysbiosis in the oral microbial community leads to caries. In this incident, density sampled case-control study of 189 children followed from 2 months to 5 years, we use the salivary bacteriome t… Show more

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Cited by 8 publications
(20 citation statements)
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“…To incorporate the salivary microbiome, we performed a secondary analysis of a previously conducted incidence-density sampled case-control study nested within COHRA2 (2019 data freeze) (Blostein et al 2022). In this substudy, cases were children with primary dentition white spots, dental lesions, or fillings at or before the 60-month visit.…”
Section: Methodsmentioning
confidence: 99%
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“…To incorporate the salivary microbiome, we performed a secondary analysis of a previously conducted incidence-density sampled case-control study nested within COHRA2 (2019 data freeze) (Blostein et al 2022). In this substudy, cases were children with primary dentition white spots, dental lesions, or fillings at or before the 60-month visit.…”
Section: Methodsmentioning
confidence: 99%
“…To summarize the salivary bacterial community, we used a community state type (CST) variable derived in the initial case-control substudy (Blostein et al 2022). We used Dirichlet multinomial mixture models to identify samples with similar bacterial communities (CSTs) (Holmes et al 2012).…”
Section: Methodsmentioning
confidence: 99%
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“…65 Additionally, AI can facilitate the integration of multi-omics data and improve the accuracy of diagnoses and prediction. 66,67 It could even be used to discover or identify new drugs. [68][69][70] Although AI show great promises to revolutionize medical development, technical, social and legal challenges lie ahead.…”
Section: Current Challenges and Future Perspectivesmentioning
confidence: 99%