Identifying Key Biomarkers in Celiac Disease through Analysis of Microarray Data.

Area of Science:

• Immunology
• Genetics
• Bioinformatics

Background:

• Celiac disease (CeD) is a prevalent autoimmune disorder triggered by gluten ingestion.
• Current diagnostics may miss crucial biomarkers, necessitating advanced identification methods.
• Global CeD prevalence affects approximately 1.4% of the population.

Purpose of the Study:

• To identify significant candidate biomarkers for celiac disease using bioinformatics analysis of microarray data.
• To explore the molecular mechanisms underlying CeD pathogenesis.
• To pave the way for improved diagnostic and therapeutic strategies for CeD.

Main Methods:

• Analysis of three Gene Expression Omnibus (GEO) datasets (GSE112102, GSE113469, GSE164883).
• Meta-analysis of differentially expressed genes (DEGs).
• Gene ontology, pathway analyses, and protein-protein interaction network construction to identify hub genes and microRNAs (miRNAs).

Main Results:

• Identified 165 DEGs (79 upregulated, 86 downregulated).
• Five key hub genes (STAT1, CDC20, perforin-1, CCL2, MYC) were identified as critical regulators.
• Significant interactions were found between hub genes and specific miRNAs (e.g., hsa-miR-155-5p, hsa-miR-146a-5p), suggesting their role in CeD pathogenesis.

Conclusions:

• The identified genes and miRNAs show potential as novel biomarkers for CeD diagnosis.
• These findings enhance the understanding of CeD's molecular mechanisms.
• This research supports the development of improved diagnostic and therapeutic approaches for celiac disease.