Prediction of Early Childhood Caries via Spatial-Temporal Variations of Oral Microbiota.
Microbiota-based prediction of chronic infections is promising yet not well established. Early childhood caries (ECC) is the most common infection in children. Here we simultaneously tracked microbiota development at plaque and saliva in 50 4-year-old preschoolers for 2 years; children either stayed healthy, transitioned into cariogenesis, or experienced caries exacerbation. Caries onset delayed microbiota development, which is otherwise correlated with aging in healthy children. Both plaque and saliva microbiota are more correlated with changes in ECC severity (dmfs) during onset than progression. By distinguishing between aging- and disease-associated taxa and exploiting the distinct microbiota dynamics between onset and progression, we developed a model, Microbial Indicators of Caries, to diagnose ECC from healthy samples with 70% accuracy and predict, with 81% accuracy, future ECC onsets for samples clinically perceived as healthy. Thus, caries onset in apparently healthy teeth can be predicted using microbiota, when appropriately de-trended for age.
['Teng|Fei|F|', 'Yang|Fang|F|', 'Huang|Shi|S|', 'Bo|Cunpei|C|', 'Xu|Zhenjiang Zech|ZZ|', 'Amir|Amnon|A|', 'Knight|Rob|R|', 'Ling|Junqi|J|', 'Xu|Jian|J|']
D002675:Child, Preschool D004269:DNA, Bacterial D004275:DNA, Ribosomal D003731:Dental Caries D003773:Dental Plaque D006801:Humans D064307:Microbiota D015233:Models, Statistical D008969:Molecular Sequence Data D011379:Prognosis D012336:RNA, Ribosomal, 16S D012463:Saliva D017422:Sequence Analysis, DNA
microbiota plaque saliva microbial indicators of caries early-childhood caries