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Updated: Aug 19, 2025

Robust Ligature-Induced Model of Murine Periodontitis for the Evaluation of Oral Neutrophils
Published on: January 21, 2020
Identifying Common Genes and Pathways Associated with Periodontitis and Aging by Bioinformatics Analysis
Qi Xie1,2, Hongyu Lv3, Tianqi Wang3
1Department of Endodontics, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150001, China.
Bioinformatic analysis identified 84 common differentially expressed genes between periodontitis and aging. Vimentin (VIM) emerged as a potential biomarker, suggesting new therapeutic targets for elderly patients with periodontal disease.
Area of Science:
- Genomics
- Bioinformatics
- Computational Biology
Background:
- Periodontitis (PD) is a prevalent oral disease.
- Aging is associated with increased susceptibility to various health conditions, including PD.
- Understanding the molecular links between PD and aging is crucial for developing targeted therapies.
Purpose of the Study:
- To identify key genes and molecular pathways connecting periodontitis and aging using bioinformatic approaches.
- To explore potential biomarkers and regulatory networks involved in the co-occurrence of PD and aging.
- To provide a foundation for novel therapeutic strategies for periodontal disease in elderly populations.
Main Methods:
- Utilized four Gene Expression Omnibus (GEO) microarray datasets.
- Identified differentially expressed genes (DEGs) common to PD and aging via Venn diagram analysis.
- Constructed a protein-protein interaction (PPI) network and visualized hub genes using Cytoscape.
Main Results:
- Identified 84 common DEGs between PD and aging.
- Selected top 10 hub genes, including Vimentin (VIM), MMP2, and COL4A2.
- Predicted VIM as a potential biomarker and identified hsa-mir-21 and hsa-mir-125b as associated microRNAs.
Conclusions:
- The study highlights key gene interactions and pathways linking periodontitis and aging.
- Vimentin (VIM) is proposed as a potential biomarker for the PD-aging axis.
- Further experimental validation is required to confirm these predicted findings and their clinical relevance.
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