Metagenomic study of bacterial microbiota in persistent endodontic infections using Next-generation sequencing.

Autor: Sánchez-Sanhueza G; Discipline of Endodontics, Faculty of Dentistry, Department of Restorative Dentistry, University of Concepción, Concepción, Chile., Bello-Toledo H; Research Laboratory on Antibacterial Agents, Faculty of Biological Sciences, Department of Microbiology, University of Concepción, Concepción, Chile., González-Rocha G; Research Laboratory on Antibacterial Agents, Faculty of Biological Sciences, Department of Microbiology, University of Concepción, Concepción, Chile., Gonçalves AT; Laboratory of Biotechnology and Aquatic Genomics, Department of Oceanography, University of Concepción, Concepción, Chile., Valenzuela V; Laboratory of Biotechnology and Aquatic Genomics, Department of Oceanography, University of Concepción, Concepción, Chile., Gallardo-Escárate C; Laboratory of Biotechnology and Aquatic Genomics, Department of Oceanography, University of Concepción, Concepción, Chile.
Jazyk: angličtina
Zdroj: International endodontic journal [Int Endod J] 2018 Dec; Vol. 51 (12), pp. 1336-1348. Date of Electronic Publication: 2018 Jun 09.
DOI: 10.1111/iej.12953
Abstrakt: Aim: To determine the bacterial microbiota in root canals associated with persistent apical periodontitis and their relationship with the clinical characteristics of patients using next-generation sequencing (NGS).
Methodology: Bacterial samples from root canals associated with teeth having persistent apical periodontitis were taken from 24 patients undergoing root canal retreatment. Bacterial DNA was extracted, and V3-V4 variable regions of the 16S rRNA gene were amplified. The amplification was deep sequenced by Illumina technology to establish the metagenetic relationships among the bacterial species identified. The composition and diversity of microbial communities in the root canal and their relationships with clinical features were analysed. Parametric and nonparametric tests were used to analyse differences between patient characteristics and microbial data.
Results: A total of 86 different operational taxonomic units (OTUs) were identified and Good's nonparametric coverage estimator method indicated that 99.9 ± 0.00001% diversity was recovered per sample. The largest number of bacteria belonged to the phylum Proteobacteria. According to the medical history from the American Society of Anesthesiologists (ASA) Classification System, ASA II-III had higher richness estimates and distinct phylogenetic relationships compared to ASA I individuals (P < 0.05). Periapical index (PAI) score 5 was associated with increased microbiota diversity in comparison to PAI score 4, and this index was reduced in symptomatic patients.
Conclusions: Based on the findings of this study, it is possible to suggest a close relationship between several clinical features and greater microbiota diversity with persistent endodontic infections. This work provides a better understanding on how microbial communities interact with their host and vice versa.
(© 2018 International Endodontic Journal. Published by John Wiley & Sons Ltd.)
Databáze: MEDLINE
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