ArticleInternational endodontic journal2025
Exploring Relationships Within the Microbiome of Root Canal Infections and the Influence of Associated Clinical Parameters.
Article in International endodontic journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- A Comparison of Endodontic Microbiomes Associated With Symptomatic and Asymptomatic Apical Periodontitis by Next-Generation Sequencing.International endodontic journal · 2026Article
- Transcriptomic Analysis Reveals PACS1 as a Potential Shared Candidate Biomarker for Apical Periodontitis and Osteoporosis.International journal of molecular sciences · 2026Article
- Electrically Charged Lipid Nanoparticles as Intracanal Antimicrobial Delivery Systems: A Narrative Review of Preclinical Evidence for Biofilm Control.Dentistry journal · 2026Review
- Parvimonas micra exacerbates periodontitis by infiltrating host cells through TmpC and circumventing lysosomal elimination via AppA.EBioMedicine · 2026Article
- [Microbial communities in extraradicular infections of post-treatment apical periodontitis without or with sinus tracts].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2026Article
- Article
- Integrated bioinformatics analysis unravels mitochondrial-immune crosstalk and infiltration dynamics in sepsis progression.European journal of medical research · 2025Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
aimTo identify relationships among bacterial species in endodontic infections, to determine their core microbiome, and associated clinical characteristics. METHODOLOGY: 206 patients with endodontic infections and apical periodontitis were assessed for clinical parameters (periapical lesion, symptomatology, sinus tract). Samples from the apical third of roots were obtained before cleaning and shaping root canals, and microbial composition was analysed using 16S rRNA sequencing and HOMINGS. Correlation Network Analysis (CNA) was performed using the R package igraph, and networks were visualised in Cytoscape with centralities determined by CytoHubba. The core microbiome was identified using the R package Microbiome, listing species comprising at least 1% of samples in over 50% of cases.
resultsThe endodontic core microbiome included Parvimonas micra, Streptococcus sanguinis, Enterococcus faecalis, Porphyromonas endodontalis, Prevotella nigrescens and Fusobacterium nucleatum. Symptomatic cases had a core microbiome of Bacteroidaceae.G.1. sp oral taxon 272 and Haemophilus parainfluenzae. Sinus cases had a core microbiome of Bacteroidaceae.G.1. sp oral taxon 272, Mogibacterium timidum, Peptostreptococcus stomatis, Pseudoramibacter alactolyticus and Rothia dentocariosa. Lesion cases had a core microbiome of Atopobium rimae, Eubacterium.11.G.1. infirmum, Mogibacterium timidum and Pseudoramibacter alactolyticus. Certain taxa like Bacillus clausii and Eubacterium limosum were never detected.
conclusionsDespite critical gaps in root canal treatment clinical effectiveness, standardisation and understanding of pathogen complexity, our study, utilising next-generation 16S rRNA Sequencing and HOMINGS, provides valuable insights into core microbiome members involved in endodontic infections and their associations with distinct clinical signs and symptoms, offering insights that may guide more precise diagnosis and targeted treatment.
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