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

SUBMITTER: Xie Q 

PROVIDER: S-EPMC9691312 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature