Exploration Novel Therapeutic Targets for Periodontitis via Stress Granules Biomarkers.

ABSTRACT:

Background

Periodontitis (PD) is associated with stress granules (SGs), which are involved in cellular stress responses. Identifying biomarkers related to SGs in PD is key to grasping its pathogenesis and devising novel therapeutic approaches.

Methods

Microarray datasets GSE10334 and GSE106090 were downloaded from public databases, and experimental verification was conducted. Differentially expressed genes (DEGs) were determined via differential expression analysis and intersected with SGs-related genes (SGs-RGs). Machine learning methods and gene expression validation were used to further refine the biomarkers. Subsequently, a nomogram was constructed for disease prediction, and its accuracy was evaluated. Enrichment analysis was performed to investigate signalling pathways

SUBMITTER: Wang Y 

PROVIDER: S-EPMC12861231 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature