Identifying Common Genes and Pathways Associated with Periodontitis and Aging by Bioinformatics Analysis

Abstract

Background. This work used bioinformatic analysis to identify the relationship between periodontitis (PD) and aging, which could lead to new treatments for periodontal disease in the elderly. Method. Four microarray datasets were obtained from the Gene Expression Omnibus (GEO) database and analyzed in R language to identify differentially expressed genes (DEGs). The common DEGs of PD and aging were evaluated as key genes in this investigation by a Venn diagram. These common DEGs were analyzed through additional experiments and analysis, such as pathway analysis and enrichment analysis, and a network of protein-protein interactions (PPIs) was constructed. Cytoscape was used to visualize hub genes and critical modules based on the PPI network. Interaction of TF-genes and miRNAs with hub genes is identified. Result. 84 common DEGs were found between PD and aging. Cytohubba was performed on the PPI network obtained from STRING tool, and the top 10 genes (MMP2, PDGFRB, CTGF, CD34, CXCL12, VIM, IL2RG, ACTA2, COL4A2, and TAGLN) were selected as hub genes. VIM may be a potential biomarker in the analysis of linked hub gene regulatory networks, and hsa-mir-21 and hsa-mir-125b are predicted to be associated in PD and aging. Conclusion. This study investigated the key genes and pathways interactions between PD and aging, which may help reveal the correlation between PD and aging. The current research results are obtained by prediction, and follow-up biological experiments are required for further verification.

Identification of biomarkers related to prognosis and diagnosis of periodontitis by bioinformatics based on public database

“…Suzuki et al demonstrated that several key genes of periodontitis pathogenesis, such as CXCL12, C3, and CD79A (Suzuki et al, 2019). Xie et al reported for the first time that IL2RG and CXCL12 may act as aging‐related genes in periodontitis by affecting the structural synthesis of ECM fibers in oral fibroblasts and subsequently impede wound healing in the elderly (Xie et al, 2022). In our study, functional enrichment results showed a large number of key genes enriched in collagen‐containing extracellular matrix, structural constituent of skin epidermis, and other entries, which corresponded to previous results.…”

“…Suzuki et al demonstrated that several key genes of periodontitis pathogenesis, such as CXCL12, C3, and CD79A (Suzuki et al, 2019). Xie et al reported for the first time that IL2RG and CXCL12 may act as aging-related genes in periodontitis by affecting the structural synthesis of ECM fibers in oral fibroblasts and subsequently impede wound healing in the elderly (Xie et al, 2022).…”