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The impact of oral dysbiosis on the gut microbiota in individuals affected by Periodontitis and their descendants

Grant number: 19/08953-3
Support type:Scholarships in Brazil - Post-Doctorate
Effective date (Start): June 01, 2021
Effective date (End): May 31, 2023
Field of knowledge:Health Sciences - Dentistry - Periodontology
Principal researcher:Renato Corrêa Viana Casarin
Grantee:Mabelle de Freitas Monteiro
Home Institution: Faculdade de Odontologia de Piracicaba (FOP). Universidade Estadual de Campinas (UNICAMP). Piracicaba , SP, Brazil

Abstract

Recent studies have been demonstrating that parental periodontal disease affects the periodontal condition of their offspring, influencing the precocious establishment of an oral dysbiotic microbiota associated with the disease. In addition, evidence has suggested that oral microbiota is important in the determination of the intestinal microbiota and that intestinal dysbiosis is directly related to the occurrence of many systemic diseases. Thus, this study aims to evaluate the impact of oral dysbiosis on the composition of the gut microbiota in individuals affected by the most severe and rapidly progressing cases of Periodontitis and in its offspring. Eighty individuals will be selected: 20 parents diagnosed with generalized Periodontitis stage III-IV grade C and 20 children (6-12 years) from those individuals, 20 periodontally healthy parents, and 20 children (6-15 years) presenting both parents periodontally healthy. All individuals will be periodontally evaluated and saliva, subgingival biofilm, and stool samples will be collected for microbiological evaluation. The bacterial DNA will be extracted and the 16S rRNA (V1-V3 and V7-V9 hypervariable regions) will be sequenced using the Illumina MiSeq platform. The data will be evaluated using bioinformatics tools and the microbiological condition will be correlated to the patient diagnosis and the clinical parameters. For the microbial evaluation, the alpha and beta diversity, the bacteria differentially abundant among groups, the core microbiome, the co-occurrence analysis for each environment will be computed. Random Forest analysis will be used for the identification of the bacteria with the highest predictive values for each condition. The similarity between oral and fecal microbiomes will be tested to identify the oral impact on intestinal colonization. The results will be compared, using the appropriate tests, with a significance level of 5%. (AU)

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