ABSTRACT
Periodontitis is a progressive disease of the periodontium with a complex, polymicrobial etiology. Recent Next-Generation Sequencing (NGS) studies of the microbial diversity associated with periodontitis have revealed strong, community-level differences in bacterial assemblages associated with healthy or diseased periodontal sites. In this study, we used NGS approaches to characterize changes in periodontal pocket bacterial diversity after standard periodontal treatment. Despite consistent changes in the abundance of certain taxa in individuals whose condition improved with treatment, post-treatment samples retained the highest similarity to pre-treatment samples from the same individual. Deeper phylogenetic analysis of periodontal pathogen-containing genera Prevotella and Fusobacterium found both unexpected diversity and differential treatment response among species. Our results highlight how understanding interpersonal variability among microbiomes is necessary for determining how polymicrobial diseases respond to treatment and disturbance.
Subject(s)
Fusobacterium/classification , Microbiota/genetics , Periodontitis/microbiology , Phylogeny , Prevotella/classification , Adult , Anti-Bacterial Agents/therapeutic use , Case-Control Studies , Fusobacterium/genetics , Fusobacterium/isolation & purification , High-Throughput Nucleotide Sequencing , Humans , Indians, North American , Periodontitis/drug therapy , Periodontitis/ethnology , Periodontium/drug effects , Periodontium/microbiology , Prevotella/genetics , Prevotella/isolation & purification , Severity of Illness IndexABSTRACT
INTRODUCTION: Symptomatic teeth with periradicular lesions of infectious origin remain a significant challenge in dentistry, and the reason for the acute perturbation is incompletely understood. The present study used pyrosequencing of bacterial 16S ribosomal RNA (rRNA) genes to characterize the microbiota of periradicular lesions. METHODS: Thirteen periradicular lesions from 11 symptomatic and 2 asymptomatic teeth were sampled during apical surgery. Samples were subjected to DNA extraction and 16S rRNA polymerase chain reaction (PCR) amplification. PCR amplicons were then sequenced by using the Roche 454 GS FLX platform. Data were analyzed with the Quantitative Insights into Microbial Ecology (QIIME) software package. RESULTS: Seven of the 13 periradicular lesions (53.8%) yielded PCR amplicons, which generated 35,731 high-quality DNA sequences belonging to 10 bacterial phyla and 73 bacterial genera. All 7 lesions were associated with symptoms. The phyla with most bacterial taxa were Proteobacteria (proportion of total bacterial taxa, 33.3%), Firmicutes (30.9%), Actinobacteria (12.2%), and Bacteroidetes (11.4%). The most abundant genera were Fusobacterium (average of total sequences, 21.0%), Streptococcus (8.0%), Prevotella (7.5%), Corynebacterium (7.2%), Porphyromonas (6.0%). and Actinomyces (5.8%). CONCLUSIONS: This study demonstrated that the microbiota of symptomatic periapical lesions is predominated by anaerobic bacteria but also contains substantial levels of streptococci, actinomyces, and bacteria not previously identified in the oral cavity. The etiopathogenic role and therapeutic implication of periradicular bacteria need to be determined.
