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Evaluation of saliva as a representative fluid of the microbiome composition in the subgingival biofilm in descendants of young patients with grade C periodontitis

Grant number: 21/12159-0
Support type:Scholarships in Brazil - Scientific Initiation
Effective date (Start): December 01, 2021
Effective date (End): November 30, 2022
Field of knowledge:Health Sciences - Dentistry - Periodontology
Principal researcher:Mabelle de Freitas Monteiro
Grantee:Lara Garcia Soares
Home Institution: Faculdade de Odontologia de Piracicaba (FOP). Universidade Estadual de Campinas (UNICAMP). Piracicaba , SP, Brazil

Abstract

Recent studies have shown that parental periodontal disease affects the periodontal condition of their children, influencing the early establishment of a dysbiotic subgingival microbiota associated with the disease. Despite being very descriptive of the periodontal condition, subgingival analysis in children can be a challenge, especially for population assessment and epidemiological studies with populations at risk. In this sense, using saliva can be advantageous, easy to collect, abundant, and painless, facilitating more comprehensive evaluations. Thus, this study will evaluate whether the salivary microbiota represents the subgingival community in children descended from patients with severe and rapidly progressing periodontitis, comparing them with children from periodontal healthy families. Twenty children (6-12 years) of parents with grade C generalized stage III-IV periodontitis and 20 children with both parents periodontally healthy will be clinically evaluated. Saliva and subgingival biofilm samples will be collected for microbiological evaluations. Bacterial DNA will be extracted, and the 16S rRNA regions will be sequenced using the Illumina MiSeq platform. Data will be evaluated with bioinformatics tools, and the microbiological condition will be related to clinical parameters. For microbial evaluation and comparison between sites and groups, alpha and beta diversities, differentially abundant bacteria, core microbiome, and co-occurrence network analysis for each environment will be computed. The similarity between salivary and subgingival microbiomes of the same individual will be tested to identify whether saliva is representative of the subgingival microbiome and the impact of family history on this process. Data will be correlated and compared by specific tests, with a significance level of 5%. (AU)

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