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Related Concept Videos

Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

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Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
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Oral Biofilm Sampling for Microbiome Analysis in Healthy Children
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Subgingival Microbial Signatures Associated With Apical Periodontitis Identified by Next Generation Sequencing and

Marcelo Britos1,2, Elizabeth Pellegrini1, Patricia Hernández-Ríos3

  • 1Laboratory of Periodontal Biology, Faculty of Dentistry, Universidad de Chile, Santiago, Chile.

International Endodontic Journal
|March 7, 2026
PubMed
Summary
This summary is machine-generated.

Apical periodontitis (AP) is linked to distinct subgingival bacterial signatures, indicating dysbiosis. These microbial profiles can help diagnose AP, revealing its broader impact on oral microbiota.

Keywords:
apical periodontitisbiomarkersendodontic microbiomesubgingival microbiome

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Area of Science:

  • Microbiology
  • Periodontology
  • Endodontology

Background:

  • Apical periodontitis (AP) is a common endodontic infection.
  • The relationship between endodontic and subgingival bacterial communities in AP is not fully understood.
  • Subgingival microbiota may reflect systemic or localized disease processes.

Purpose of the Study:

  • To investigate the relationship between endodontic and subgingival bacterial communities in AP.
  • To identify specific microbial signatures in subgingival plaque associated with AP.
  • To determine if subgingival microbiota can serve as a diagnostic marker for AP.

Main Methods:

  • Cross-sectional study comparing 25 AP patients and 34 healthy controls.
  • 16S rRNA gene sequencing of paired endodontic and subgingival samples.
  • Analysis of alpha and beta diversity, differentially abundant taxa, and predictive modeling using random forest.

Main Results:

  • Subgingival bacterial communities in AP patients differed significantly from root canal communities.
  • AP-associated subgingival microbiota showed higher diversity and enrichment of anaerobic, inflammophilic species.
  • A predictive model using Streptococcus sanguinis and Prevotella maculosa achieved 89.8% accuracy in differentiating AP patients.

Conclusions:

  • Subgingival microbiota in AP patients exhibits a distinct dysbiotic profile compared to healthy individuals.
  • Specific subgingival bacterial signatures are associated with AP and can be used for diagnosis.
  • AP significantly impacts the subgingival microbiota, suggesting a potential link between oral health conditions.