EXPLORING POTENTIAL KEY GENES AND MECHANISMS OF PERIODONTITIS THROUGH INTEGRATED BIOINFORMATICS ANALYSIS
Yuxin Zhu1, Tong Deng2, Wenjie Wen1
1Anhui Province Engineering Research Center for Dental Materials and Application, School of Stomatology, Wannan Medical University, Wuhu 241002, China.
Georgian Medical News
|June 14, 2026
Summary
This study identified seven key genes involved in periodontitis, revealing crucial immune and inflammatory pathways. These findings offer potential targets for developing new periodontitis therapies.
Area of Science:
- Genomics and Bioinformatics
- Molecular Biology
- Immunology
Background:
- Periodontitis is a common inflammatory disease with unclear molecular drivers.
- Understanding periodontitis pathogenesis is crucial for effective treatment development.
Purpose of the Study:
- To identify key genes and molecular mechanisms in periodontitis using bioinformatics.
- To elucidate the underlying pathways and regulatory networks in periodontitis.
Main Methods:
- Utilized Gene Expression Omnibus (GEO) datasets for differential gene expression analysis.
- Constructed protein-protein interaction networks and performed Gene Set Enrichment Analysis (GSEA).
- Developed a competing endogenous RNA (ceRNA) network to explore regulatory interactions.
Main Results:
- Identified seven key genes (IL1B, CXCR4, FCGR3B, SELL, CD19, CXCL8, CD38) in periodontitis.
- Revealed significant involvement of cytokine-cytokine receptor interaction and immune signaling pathways.
- Discovered regulatory interactions involving lncRNAs, miRNAs, and key genes within the ceRNA network.
Conclusions:
- This bioinformatics approach systematically identified critical genes and networks in periodontitis.
- The identified genes and pathways represent promising targets for future therapeutic strategies.
- Provides a foundation for further research into periodontitis molecular mechanisms.
