Periodontal disease severity is associated to pathogenic consortia comprising putative and candidate periodontal pathogens
J. appl. oral sci
; 31: e20220359, 2023. tab, graf
Article
de En
|
LILACS-Express
| LILACS
| ID: biblio-1421899
Bibliothèque responsable:
BR1.1
ABSTRACT
Abstract Based on a holistic concept of polymicrobial etiology, we have hypothesized that putative and candidate periodontal pathogens are more frequently detected in consortia than alone in advanced forms of periodontal diseases (PD). Objective To correlate specific consortia of periodontal pathogens with clinical periodontal status and severity of periodontitis. Methodology Subgingival biofilm was obtained from individuals with periodontal health (113, PH), gingivitis (91, G), and periodontitis (209, P). Genomic DNA was purified and the species Aggregatibacter actinomycetemcomitans (Aa), Aa JP2-like strain, Porphyromonas gingivalis (Pg), Dialister pneumosintes (Dp), and Filifactor alocis (Fa) were detected by PCR. Configural frequency and logistic regression analyses were performed to correlate microbial consortia and PD. Results Aa + Pg in the presence of Dp (phi=0.240; χ2=11.9, p<0.01), as well as Aa JP2 + Dp + Fa (phi=0.186, χ2=4.6, p<0.05) were significantly more associated in advanced stages of P. The consortium Aa + Fa + Dp was strongly associated with deep pocketing and inflammation (p<0.001). The best predictors of disease severity (80% accuracy) included older age (OR 1.11 [95% CI 1.07 - 1.15], p<0.001), Black/African-American ancestry (OR 1.89 [95% CI 1.19 - 2.99], p=0.007), and high frequency of Aa + Pg + Dp (OR 3.04 [95% CI 1.49 - 6.22], p=0.002). Conclusion Specific microbial consortia of putative and novel periodontal pathogens, associated with demographic parameters, correlate with severe periodontitis, supporting the multifactorial nature of PD.
Texte intégral:
1
Indice:
LILACS
Type d'étude:
Risk_factors_studies
langue:
En
Texte intégral:
J. appl. oral sci
Thème du journal:
ODONTOLOGIA
Année:
2023
Type:
Article
/
Project document