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Dataset Information

Identification of Key Periodontitis Genes and Their Mechanisms of Action Using Comprehensive Multiple Microarray Analysis and Mendelian Randomization Methods.


ABSTRACT:

Background

Periodontitis, a chronic inflammatory disease, damages the soft tissues and bones around the teeth. Affecting adults, mild periodontitis is common, while severe cases impact up to 20% of individuals, with a prevalence of 45%-50%. This study was aimed at identifying and analyzing the functions of genes differentially expressed in periodontitis through bioinformatics. Additionally, we aimed to validate the causal relationships of these genes with periodontitis using Mendelian randomization.

Methods

The investigation included 557 samples obtained from 210 patients suffering from periodontitis within the GEO database, focusing on the differential expression of genes and conducting a weighted gene coexpression network analysis (WGCNA). Hub genes associated with periodo

SUBMITTER: Xiang K 

PROVIDER: S-EPMC12548494 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature