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Highly Diverse Microbiota in Dental Root Canals in Cases of Apical Periodontitis (data of Illumina Sequencing)

Overview
Journal J Endod
Publisher Elsevier
Specialty Dentistry
Date 2014 Sep 18
PMID 25227214
Citations 29
Authors
Affiliations
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Abstract

Introduction: Chronic apical periodontitis (CAP) is a frequent condition that has a considerable effect on a patient's quality of life. We aimed to reveal root canal microbial communities in antibiotic-naive patients by applying Illumina sequencing (Illumina Inc, San Diego, CA).

Methods: Samples were collected under strict aseptic conditions from 12 teeth (5 with primary CAP, 3 with secondary CAP, and 4 with a periapical abscess [PA]) and characterized by profiling the microbial community on the basis of the V6 hypervariable region of the 16S ribosomal RNA gene by using Illumina HiSeq2000 sequencing combinatorial sequence-tagged polymerase chain reaction products.

Results: Root canal specimens displayed highly polymicrobial communities in all 3 patient groups. One sample contained 5-8 (mean = 6.5) phyla of bacteria. The most numerous were Firmicutes and Bacteroidetes, but Actinobacteria, Fusobacteria, Proteobacteria, Spirochaetes, Tenericutes, and Synergistetes were also present in most of the patients. One sample contained 30-70 different operational taxonomic units; the mean (± standard deviation) was lower in the primary CAP group (36 ± 4) than in the PA (45 ± 4) and secondary CAP (43 ± 13) groups (P < .05). The communities were individually different, but anaerobic bacteria predominated as the rule. Enterococcus faecalis was found only in patients with secondary CAP. One PA sample displayed a significantly high proportion (47%) of Proteobacteria, mainly at the expense of Janthinobacterium lividum.

Conclusions: This study provided an in-depth characterization of the microbiota of periapical tissues, revealing highly polymicrobial communities and minor differences between the study groups. A full understanding of the etiology of periodontal disease will only be possible through further in-depth systems-level analyses of the host-microbiome interaction.

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