Machine Learning Study in Caries Markers in Oral Microbiota from Monozygotic Twin Children.

ABSTRACT: In recent years, the etiology of caries has evolved from a simplistic infectious perspective based on Streptococcus mutans and/or Lactobacillus activity, to a multifactorial disease involving a complex oral microbiota, the human genetic background and the environment. The aim of this work was to identify bacterial markers associated with early caries using massive 16S rDNA. To minimize the other factors, the composition of the oral microbiota of twins in which only one of them had caries was compared with their healthy sibling. Twenty-one monozygotic twin pairs without a previous diagnosis of caries were recruited in the context of their orthodontic treatment and divided into two categories: (1) caries group in which only one of the twins had caries; and (2) control group in which neither

SUBMITTER: Alia-Garcia E 

PROVIDER: S-EPMC8148599 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature