Exploration Novel Therapeutic Targets for Periodontitis via Stress Granules Biomarkers

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Authors: Yu Wang, Xie Yang, Bowei Shi, Bowen Zhu, Hai Zhuang, Jialu Chen
Cited by: 1
References: 68

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, and immune cell infiltration was analysed. Moreover, a transcription factor (TF) regulatory network and a disease-biomarker-drug interaction network were constructed. RESULTS: A total of 1618 DEGs, 95 candidate genes, and 4 biomarkers (PECAM1, IL18, EGFR, and CCL5) were identified. PECAM1 and CCL5 showed significant overexpression, while IL18 and EGFR showed significant underexpression in PD patients. The nomogram based on these biomarkers showed high predictive accuracy. Enrichment analysis revealed that the biomarkers were primarily accumulated within translation pathways, like ribosome and rRNA processing. Besides, 14 differentially infiltrated immune cell types were identified, with significant positive correlations between IL18/EGFR and memory B cells, PECAM1/CCL5 and plasma cells. Notably, TFs such as CEBPB, ELF1, and STAT3 were identified as important regulatory factors for the biomarkers. Potential drugs for the biomarkers included mycophenolate, afatinib, and fluticasone, and the biomarkers were associated with diseases such as gingivitis, diabetes, and cardiovascular diseases. CONCLUSIONS: This study identified four SGs-related biomarkers in PD and proposed potential therapeutic targets, providing preliminary insights into its pathogenesis that warrant further experimental validation at the protein and functional levels.

Fields of Study & Subjects

Oral microbiology and periodontitis research Bone and Dental Protein Studies Clusterin in disease pathology

Publication details

Journal / source
International Dental Journal
Publisher
Elsevier BV
Volume
76
Issue
2
Pages
109390–109390
Publication date
22 January 2026
Language
EN