Potential diagnostic markers and therapeutic targets for DM2 and periodontitis based on bioinformatics analysis.

ABSTRACT:

Background

Diabetes Mellitus type 2 (DM2) is thought to have a bidirectional relationship with Periodontitis (PD). However, the complex molecular interactions between DM2 and PD remain unclear. This study aimed to explore the shared genes and common signatures of DM2 and PD via bioinformatic analysis.

Methods

Firstly, using bioinformatic methods to investigate common genes. The series matrix files of GSE6751 for DM and GSE15932 for PD were downloaded from the Gene Expression Omnibus (GEO) database. The data was normalized using the R package, and the limma package was utilized to identify the Differentially Expressed Genes (DEGs). Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses of DEGs were performed using the "clusterProfiler" package in the R

SUBMITTER: Luo R 

PROVIDER: S-EPMC11964240 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature