Microbiome dynamics and early microbial signatures predict bone regeneration in marsupialized jaw lesions: a longitudinal 16S sequencing cohort study
Background Marsupialization is a conservative treatment for odontogenic jaw lesions but is hampered by protracted, unpredictable bone regeneration, lacking early biomarkers. Furthermore, whether these intraosseous lesions harbour a unique microbiome remains unknown. We aimed to characterize microbial dynamics during treatment and develop a prognostic model to address clinical unpredictability.Methods A prospective longitudinal study was conducted with multi-site sampling (saliva, tissue, luminal fluid and swabs) across three phases: primary surgery, 3-month follow-up and secondary surgery. Bacterial 16S rRNA gene sequencing was subsequently performed. Microbial dynamics were analyzed using diversity analysis and source tracking. A prognostic model was constructed using a hybrid feature selection strategy to predict 12-month bone regeneration using 3-month post-operative swabs.Results Baseline analysis revealed that odontogenic jaw lesions harbour a unique, biologically selected microbiome enriched in Fusobacterium and Clostridia, which are distinct from saliva. Marsupialization induced a profound microbial remodelling, transforming this closed niche into an open, stochastic ecosystem dominated by salivary commensals. Long-term analysis indicated a secondary succession, where primary pathogens were replaced by a Bacteroidia-enriched community. Crucially, after a rigorous feature selection process, a streamlined microbial signature accurately predicted 12-month bone regeneration (AUC = 0.937). Poor bone regeneration was associated with the persistence of the primary Clostridia core, whereas favourable regeneration was linked to a shift towards Bacteroidia and Proteobacteria.Conclusion Marsupialization drives the lesion microbiome from a pathogenic niche toward a stochastic, commensal-like state. This succession trajectory is associated with clinical outcome. Our prognostic model offers a novel precision tool to optimize lesion management.
Authors
- Xiaomei Lao (ORCID: https://orcid.org/0000-0001-5767-1823)
- Le Yang (ORCID: https://orcid.org/0000-0002-7216-2418)
- Sien Zhang (ORCID: https://orcid.org/0000-0002-8233-6098)
- Le Chen (ORCID: https://orcid.org/0000-0002-0382-5863)
- Guiqing Liao (ORCID: https://orcid.org/0000-0002-0338-6661)
- Yujie Liang
- Mailikanmuhan Maitikuerban
- Bin Zeng
- Jingyuan Li
- Di-kan Wang
Institutions
- Stomatology Hospital (CN)
Publication Details
- Journal
- Journal of Oral Microbiology
- Published
- 2026-06-09
- DOI
- https://doi.org/10.1080/20002297.2026.2684137
- Primary Topic
- Oral and Maxillofacial Pathology
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China