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Updated: May 15, 2025
The Establishment of a Murine Mandibular Molar Extraction Socket Healing Model
Published on: January 13, 2023
Correlation between oral microbiota and dry socket at different time periods on tooth extraction
Yujia Wu1, Hujie Lyu2,3, Xuliang Deng1
1Department of Geriatric Dentistry, Peking University School and Hospital of Stomatology, NMPA Key Laboratory for Dental Materials, National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing Laboratory of Biomedical Materials, Beijing Key Laboratory of Digital Stomatology, Beijing, P. R. China.
Oral microbial analysis reveals specific bacteria, Prevotella, Fusobacterium, and Haemophilus, are linked to dry socket after tooth extraction. Early saliva microbial profiles can predict dry socket risk with 75% accuracy.
Area of Science:
- Oral microbiology
- Dental surgery outcomes
- Microbial genomics
Background:
- Dry socket is a frequent post-extraction complication causing severe pain and infection risk.
- It involves exposed bone surfaces in the oral environment.
- Understanding the oral microbiome's role is crucial for prevention and management.
Purpose of the Study:
- To investigate the association between oral microbial composition and dry socket incidence.
- To identify specific microbial markers predictive of dry socket development.
- To analyze temporal changes in the oral microbiome related to healing and dry socket.
Main Methods:
- Collected 321 microbial samples from 87 patients (31 dry socket, 56 normal healing) at pre-, med-, and post-extraction stages.
- Samples were sourced from saliva and extraction sites.
- Utilized 16S rDNA sequencing and amplicon analysis, alongside random forest modeling.
Main Results:
- Dry socket patients displayed distinct oral microbial diversity and composition.
- Prevotella, Fusobacterium, and Haemophilus were strongly associated with dry socket occurrence.
- Saliva microbial profiles showed clear temporal changes and distinctions between healing and dry socket groups.
- Random forest analysis predicted healthy group outcomes with 75% accuracy using pre-extraction saliva microbes.
Conclusions:
- Haemophilus and Fusobacterium are key microbes implicated in dry socket development and prediction.
- Altered microbial composition and structure may lead to functional changes causing dry socket symptoms.
- Saliva microbiome analysis offers a promising avenue for predicting and potentially preventing dry socket.
