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Subgingival microbiome in periodontal health, gingivitis and different stages of periodontitis.
Iniesta, Margarita; Chamorro, Cristina; Ambrosio, Nagore; Marín, María José; Sanz, Mariano; Herrera, David.
Afiliação
  • Iniesta M; ETEP (Etiology and Therapy of Periodontal and Peri-Implant Diseases) Research Group, School of Dentistry, Complutense University of Madrid, Madrid, Spain.
  • Chamorro C; ETEP (Etiology and Therapy of Periodontal and Peri-Implant Diseases) Research Group, School of Dentistry, Complutense University of Madrid, Madrid, Spain.
  • Ambrosio N; ETEP (Etiology and Therapy of Periodontal and Peri-Implant Diseases) Research Group, School of Dentistry, Complutense University of Madrid, Madrid, Spain.
  • Marín MJ; ETEP (Etiology and Therapy of Periodontal and Peri-Implant Diseases) Research Group, School of Dentistry, Complutense University of Madrid, Madrid, Spain.
  • Sanz M; ETEP (Etiology and Therapy of Periodontal and Peri-Implant Diseases) Research Group, School of Dentistry, Complutense University of Madrid, Madrid, Spain.
  • Herrera D; ETEP (Etiology and Therapy of Periodontal and Peri-Implant Diseases) Research Group, School of Dentistry, Complutense University of Madrid, Madrid, Spain.
J Clin Periodontol ; 50(7): 905-920, 2023 07.
Article em En | MEDLINE | ID: mdl-36792073
AIM: To characterize the subgingival microbiome in subjects with different periodontal health statuses. MATERIALS AND METHODS: In this cross-sectional observational study, subgingival samples were harvested from Spanish subjects with different periodontal health statuses, based on the 2018 Classification of Periodontal and Peri-Implant Diseases and Conditions. Samples were processed using high-throughput sequencing technologies (Illumina MiSeq). Taxa differentially abundant were identified using Analysis of Compositions of Microbiomes with Bias Correction (ANCOM-BC). α- and ß-diversity metrics were calculated using q2-diversity in QIIME2. The analyses were adjusted for age, gender and smoking status. RESULTS: The identified subgingival microbiome showed statistically significant differences among subjects, categorized into periodontal health, gingivitis and stages I-II and III-IV periodontitis (p < .05). In patients with severe (stages III-IV) periodontitis, the genera Filifactor and Fretibacterium were detected 24 times more frequently than in periodontally healthy subjects. Similarly, the genera Porphyromonas, Prevotella and Tannerella were detected four times more frequently (p < .05). The genera Granulicatella, Streptococcus, Paracoccus, Pseudomonas, Haemophilus, Actinobacteria, Bergeyella and Capnocytophaga were significantly associated with healthier periodontal status (p < .05). CONCLUSIONS: Significant differences were detected in the subgingival microbiome among periodontal health, gingivitis and stages I-II or III-IV periodontitis, suggesting overlapping, yet distinguishable microbial profiles.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Periodontite / Microbiota / Gengivite Tipo de estudo: Observational_studies / Prevalence_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Periodontite / Microbiota / Gengivite Tipo de estudo: Observational_studies / Prevalence_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article