Screening key genes differentially expressed in ankylosing spondylitis based on bioinformatics analysis and its...

Area of Science:

• Immunogenetics
• Molecular Biology
• Bioinformatics

Background:

• Ankylosing Spondylitis (AS) is a chronic inflammatory disease with complex pathogenesis.
• Identifying reliable biomarkers is crucial for early diagnosis and effective treatment of AS.

Purpose of the Study:

• To identify and validate potential diagnostic and prognostic biomarkers for Ankylosing Spondylitis (AS).
• To elucidate the role of key genes in the pathogenesis of AS.

Main Methods:

• Integrated bioinformatics analysis of gene expression data.
• Literature review to identify candidate genes.
• Case-control validation using qRT-PCR and ROC curve analysis.

Main Results:

• Four key differentially expressed genes (DEGs) identified: ID2, PRF1, GZMB, and S100A12.
• Reduced expression of ID2, PRF1, and GZMB observed in AS patients.
• ID2 demonstrated the best single-gene diagnostic performance; combined genes showed superior diagnostic utility.
• ID2 may regulate apoptosis via natural killer cells and CD8 T lymphocytes in AS pathogenesis.
• S100A12, PRF1, and GZMB correlate with clinical indicators of inflammation and disease activity.

Conclusions:

• Identified and validated four key DEGs (ID2, PRF1, GZMB, S100A12) as potential biomarkers for AS.
• These DEGs represent promising molecular targets for AS diagnosis and therapeutic intervention.