This study aimed to determine the presence of Prevotella strains and genes associated with resistance to lactamics in different oral niches from patients with/without primary endodontic infections. Saliva (S) and supragingival biofilm (SB) were collected from three patient groups: Group I -no endodontic infection (n = 15); Group II -acute endodontic infection (n = 12); and Group III -chronic endodontic infection (n = 15). Root canal (RC) samples were collected from Groups II and III. The presence of P. intermedia, P nigrescens, P. tannerae and cfxA/cfxA2 gene was assessed by PCR. The cfxA/cfxA2 gene was not detected in all environments within the same patient. The cfxA/cfxA2 gene was present in 23.81% of S samples, 28.57% of SB samples, and 7.41% of RC samples. Prevotella species were detected in 53.97%, 47.62% and 34.56% of the S, SB, and RC samples, respectively. P. intermedia had a high frequency in saliva samples from Group 3. Saliva samples from Group 1 had higher detection rates of P. nigrescens than did Groups 2 and 3. Patients without endodontic disease had high frequencies of P. nigrescens in the SB samples. The presence or absence of spontaneous symptoms was not related to the detection rates for resistance genes in the RC samples. Saliva, supragingival biofilm and root canals can harbor resistant bacteria. The presence of symptomatology did not increase the presence of the cfxA/cfxA2 gene in the supragingival biofilm and inside root canals.
Aim
To assess in a cross‐sectional clinical study the effect of antibiotics on the diversity, structure and metabolic pathways of bacterial communities in various oral environments in patients with acute primary infections.
Methodology
Samples of saliva (SA), supragingival biofilm (SB) and from the pulp cavity (PC) were collected from teeth with acute primary infections and then grouped according to previous use of antibiotics (NoAtb = no antibiotics [n = 6]; Atb = antibiotics [n = 6]). DNA sequencing was conducted using MiSeq (Illumina, San Diego, CA, USA). The V1–V3 hyper‐variable region of the 16S rRNA gene was amplified. A custom Mothur pipeline was used for 16S rRNA processing. Subsequent analyses of the sequence dataset were performed in R (using vegan, phyloseq and ggplot2 packages) or QIIME.
Results
Twelve patients aged from 22 to 56 years were recruited. Participants in the Atb group had taken the beta‐lactamics amoxicillin (5/6) or cephalexin (1/6) for 2–3 days. A total of 332 bacterial taxa (OTUs) were identified, belonging to 120 genera, 60 families and nine phyla. Firmicutes (41%) and Bacteroidetes (38%) were the most abundant phyla in all samples. Taxa clustered significantly by oral site (PCoA analysis; P < 0.05, ANOSIM). Use of antibiotics had little effect on this clustering. However, SA, SB and PC had different degrees of richness, diversity and evenness. The greatest diversity was observed in SB samples and the least diversity was observed in PC samples. Metabolic prediction identified 163 pathways and previous use of antibiotics had a major effect on the estimated functional clustering in SA and PC samples.
Conclusion
The ecological niche had a strong influence on the bacterial content of samples from various oral sites. Previous exposure to antibiotics may exert an effect on the phylogenetic composition of SA. Metabolic pathways appear to be modulated by antimicrobial agents in SA and PC samples. The dynamics of host/microbial interactions in the apical region and the functional ecology of the infected pulp cavity should be revisited.
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