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INTRODUCTION: In this study, we used metatranscriptomics for the first time to investigate microbial composition, functional signatures, and antimicrobial resistance (AR) gene expression in endodontic infections. METHODS: Root canal samples were collected from ten teeth, including five primary and five persistent/ secondary endodontic infections. RNA from endodontic samples was extracted, and RNA sequencing was performed on a NovaSeq6000 system (Illumina). Taxonomic analysis was performed using the Kraken2 bacterial database. Then, sequences with a taxonomic classification were annotated against the Universal Protein Knowledgebase for functional annotation and the Comprehensive Antibiotic Resistance Database for AR-like gene identification. RESULTS: Proteobacteria, Bacteroidetes, Firmicutes, and Actinobacteria represented the dominant phyla, whereas Fusobacteria, Spirochaetes, and Synergistetes were among the non-dominant phyla. The top ten species were mainly represented by obligate (or quasi-obligate) anaerobes, including Gram-negative (e.g., Capnocytophaga sp. oral taxon 323, Fusobacterium nucleatum, Prevotella intermedia, Prevotella oris, Tannerella forsythia and Tannerella sp. oral taxon HOT-286) and Gram-positive species (e.g., Olsenella uli and Parvimonas micra). Transcripts encoding moonlighting proteins (e.g., glycolytic proteins, translational elongation factors, chaperonin, and heat shock proteins) were highly expressed, potentially affecting bacterial adhesion, biofilm formation, host defense evasion, and inflammation induction. Endodontic bacteria expressed genes conferring resistance to antibiotic classes commonly used in dentistry, with a high prevalence and expression of tetracycline and lincosamide resistance genes. Antibiotic efflux and antibiotic target alteration/ protection were the main resistance mechanisms. CONCLUSIONS: Metatranscriptomics revealed the activity of potential endodontic pathogens, which expressed putative virulence factors and a wide diversity of genes potentially involved in antimicrobial resistance.
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INTRODUCTION: Because active cells present higher abundance of ribosomal RNA (rRNA) than rDNA (rRNA genes), data obtained with rDNA-based quantitative polymerase chain reaction (qPCR) and rRNA-based qPCR (RT-qPCR) were correlated to search for active bacteria after chemomechanical procedures (CMP). In addition, the ability of both assays to detect bacteria in endodontic samples was evaluated. METHODS: Samples were taken from 40 teeth with primary endodontic infections before (S1) and after CMP (S2). DNA and cDNA (synthetized from RNA) were used as templates for qPCR using universal primers for bacteria and species-specific primers for Bacteroidaceae sp. HOT-272, Cutibacterium acnes, Selenomonas spp., and Enterococcus faecalis. RESULTS: After CMP, there was a drastic reduction in the number of total bacteria, Selenomonas spp., and E. faecalis, whereas no significant difference was observed for the levels of Bacteroidaceae sp. HOT-272 and C. acnes. The concentration of rRNA copies in S2 samples was significantly higher than the corresponding levels of rDNA for assays targeting total bacteria, Bacteroidaceae sp. HOT-272, and C. acnes (P < .05), indicating persistence of active bacteria. The rDNA-based qPCR presented low sensitivity and high specificity when compared with RT-qPCR. For most assays, samples positive for rDNA were also positive for rRNA (positive predictive value = 100%). CONCLUSIONS: CMP was effective in reducing levels but not the metabolic activity of total bacteria. Bacteroidaceae sp. HOT-272 and C. acnes were active members of the persistent community. Although less sensitive than RT-qPCR, most rDNA-based qPCR assays had a low risk of providing false-positive results in postinstrumentation samples.
