Pooled analysis of oral microbiome profiles defines robust signatures associated with periodontitis
Oral microbial dysbiosis has been associated with periodontitis in studies using 16S rRNA gene sequencing analysis. However, this technology is not sufficient to consistently separate the bacterial species to species level, and reproducible oral microbiome signatures are scarce. Here, using ultra-deep metagenomic sequencing and machine learning tools, we defined a simple two-factor decision tree, based on <i>Tannerella forsythia</i> and <i>Fretibacterium fastidiosum</i>, that was highly associated with periodontitis. Altogether, we defined robust oral microbiome signatures relevant to the pathophysiology of periodontitis that can help define promising targets for microbiome therapeutic modulation when caring for patients with periodontitis.
Authors
- Assem Soueidan (ORCID: https://orcid.org/0000-0001-8759-2165)
- Katia Idiri
- Arnaud Legrand (ORCID: https://orcid.org/0000-0003-1511-2884)
- Pauline Esparbès
- Quentin Le Bastard (ORCID: https://orcid.org/0000-0001-6930-0720)
- Emmanuel Montassier (ORCID: https://orcid.org/0000-0002-2313-1172)
- Camille Becchina
Institutions
- Inserm (FR)
- University of Dental Medicine (MM)
- British Society of Periodontology (GB)
- Centre Hospitalier Universitaire de Nantes (FR)
- Société Française de Parodontologie et d’Implantologie Orale (FR)
- Institut de Transplantation Urologie en Nephrologie (FR)
- Centre d'Investigation Clinique de Nantes (FR)
- Cibles et Médicaments des Infections et de l'Immunité
- Center for Research in Transplantation and Translational Immunology
- Nantes Université (FR)
Publication Details
- Journal
- mSystems
- Published
- 2024-10-24
- DOI
- https://doi.org/10.1128/msystems.00930-24
- Citations
- 11
- Primary Topic
- Oral microbiology and periodontitis research
- Type
- article
- Field-Weighted Citation Impact
- 4.41
Funders
- University of Minnesota
- Centre Hospitalier Universitaire de Nantes