Prevalence of Treponemaspp. in endodontic retreatment-resistant periapical lesions

Rosa, Tiago Pereira; Signoretti, Fernanda Graziela Corrêa; Montagner, Francisco; Gomes, Brenda Paula Figueiredo de Almeida; Jacinto, Rogério de Castilho

doi:10.1590/1807-3107bor-2015.vol29.0031

Cited by 9 publications

(8 citation statements)

References 26 publications

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“…Studies also found that Spirochaetes exist in the oral cavity and were correlated with oral disease, e.g., the increased severity of marginal bone loss during bone healing around the non-submerged implant was related to an increased abundance of species in the phylum Spirochaeta [24]. Treponema denticola, Treponema pectinovorum, and Treponema socranskii were correlated with inflammatory periodontal diseases [25,26]. There has been no previous study reporting Spirochaetes in nasal mucosal inflammatory disease, and Spirochaeta abundance was very low in the present study.…”

Section: Discussionmentioning

confidence: 99%

Comparing the nasal bacterial microbiome diversity of allergic rhinitis, chronic rhinosinusitis and control subjects

Gan

Yang

Meng

et al. 2020

Eur Arch Otorhinolaryngol

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Purpose Until now, the microbiome of the nasal cavity and its contribution to nasal mucosal disease has remained poorly understood. The advent of cultivation-free molecular methods makes it possible to characterize the total microbiome of the nasal cavity. We sought to assess the microbial diversity and composition of the middle meatus in allergic rhinitis (AR) patients, chronic rhinosinusitis patients without polyps (CRSsNP) and a control population to determine the microbiota associated with the pathogenesis of AR and CRSsNP. Methods Microbial characterization was determined using 16S rRNA gene sequencing of 122 nasal swabs collected from patients with AR (n = 52) and CRSsNP (n = 37), and from healthy controls (n = 33). Results There was no difference in nasal microbiome richness and diversity among the three groups, and the dominant phyla were similar among three groups including Firmicutes, Proteobacteria, Actinobacteria and Bacteroidetes. However, Spirochaetae abundance was significantly higher in AR than in the control group after FDR correction (FDR p = 0.021). At the genus level, although there was no statistical significance after FDR correction, there was a trend that Pseudomonas and Peptostreptococcaceae abundance were higher in AR than in controls (p = 0.005, p = 0.005) and CRSsNP (p = 0.023, p = 0.034); Lactobacillus abundance was lower in AR than in controls (p = 0.021); Moraxella abundance was lower in CRSsNP than in controls (p = 0.006); Haemophilus abundance was higher in CRSsNP than in AR (p = 0.003) but lower in AR than in controls (p = 0.018). Conclusion These results suggested that microbial dysbiosis may play a role in the pathogenesis of heterogeneous nasal mucosal inflammation.

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Section: Discussionmentioning

confidence: 99%

Comparing the nasal bacterial microbiome diversity of allergic rhinitis, chronic rhinosinusitis and control subjects

Gan

Yang

Meng

et al. 2020

Eur Arch Otorhinolaryngol

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“…Studies reporting failure in endodontic treatment have revealed that different microorganisms can be found in the main root canal, lateral canals, dentinal tubules and in a few cases can extend to the perirradicular tissues (20)(21)(22). Even when non-surgical retreatment procedures are adequately performed, failure can happen (23).…”

Section: Discussionmentioning

confidence: 99%

Confocal laser scanning microscopy evaluation of roots subjected to activation protocol in endodontic microsurgery

et al. 2021

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This study evaluated the penetration of the irrigant subject to activation after performing retro-preparation in endodontic microsurgery. Forty mandibular premolars were prepared and filled. Subsequently, 1 mm from the root apex was cut using a multi-blade bur and the retro-preparation was performed. In group 1, the retro-cavity was cleaned with 2 mL of saline and then with 2 mL of 5.25% NaOCl gel mixed with 0.1% Rhodamine B. In group 2, the retrocavity was cleaned with 2 mL of saline, 17% EDTA gel was activated ultrasonically for 30 s and 5.25% NaOCl gel was mixed with 0.1% Rhodamine B and activated for 30 s. After 7 days, the roots were cut at 1mm from the apex and the slices were evaluated with confocal laser scanning microscopy. The samples of group 2 showed statistically better results. The activation protocol proposed resulted in enhanced irrigant penetration when compared to the traditional.

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“…Streptococcus gordonii has been shown to be an important player in the development of periodontitis as it is involved in co-adhesion and metabolic interactions with other pathogens (53,57). Treponema socranskii has been associated with peri-implant diseases (58,59), lesions of teeth with apical periodontitis (60), infected root canals and abscesses (61). Veillonella dispar is an earlier biofilm colonizer (62) and involved in periodontal disease (63).…”

Section: Discussionmentioning

confidence: 99%

Microbial Signatures of Oral Dysbiosis, Periodontitis and Edentulism Revealed by Gene Meter Methodology

Hunter

Pozhitkov

Noble

2016

Preprint

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Conceptual models suggest certain microorganisms (e.g., the red complex) are indicative of a specific disease state (e.g., periodontitis); however, recent studies have questioned the validity of these models. Here, the abundances of 500+ microbial species were determined in 16 patients with clinical signs of one of the following oral conditions: periodontitis, established caries, edentulism, and oral health. Our goal was to determine if the abundances of certain microorganisms reflect dysbiosis or a specific clinical condition that could be used as a signature for dental research. Microbial abundances were determined by the analysis of 138,718 calibrated probes using Gene Meter methodology. Each 16S rRNA gene was targeted by an average of 194 unique probes (n=25 nt). The calibration involved diluting pooled gene target samples, hybridizing each dilution to a DNA microarray, and fitting the probe intensities to adsorption models. The fit of the model to the experimental data was used to assess individual and aggregate probe behavior; good fits (R2>0.90) were retained for back-calculating microbial abundances from patient samples. The abundance of a gene was determined from the median of all calibrated individual probes or from the calibrated abundance of all aggregated probes. With the exception of genes with low abundances (< 2 arbitrary units), the abundances determined by the different calibrations were highly correlated (r ∼1.0). Seventeen genera were classified as signatures of dysbiosis because they had significantly higher abundances in patients with periodontitis and edentulism when contrasted with health. Similarly, 13 genera were classified as signatures of periodontitis, and 14 genera were classified as signatures of edentulism. The signatures could be used, individually or in combination, to assess the clinical status of a patient (e.g., evaluating treatments such as antibiotic therapies). Comparisons of the same patient samples revealed high false negatives (45%) for next-generation-sequencing results and low false positives (7%) for Gene Meter results.

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Prevalence of Treponemaspp. in endodontic retreatment-resistant periapical lesions

Cited by 9 publications

References 26 publications

Comparing the nasal bacterial microbiome diversity of allergic rhinitis, chronic rhinosinusitis and control subjects

Comparing the nasal bacterial microbiome diversity of allergic rhinitis, chronic rhinosinusitis and control subjects

Confocal laser scanning microscopy evaluation of roots subjected to activation protocol in endodontic microsurgery

Microbial Signatures of Oral Dysbiosis, Periodontitis and Edentulism Revealed by Gene Meter Methodology

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