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  4. PLCG2 and IFNAR1: The Potential Biomarkers Mediated by Immune Infiltration and Osteoclast Differentiation of Ankylosing Spondylitis in the Peripheral Blood

PLCG2 and IFNAR1: The Potential Biomarkers Mediated by Immune Infiltration and Osteoclast Differentiation of Ankylosing Spondylitis in the Peripheral Blood

Mediators of Inflammation, 2024 · DOI: https://doi.org/10.1155/2024/3358184 · Published: January 5, 2024

RheumatologyImmunologyBioinformatics

Simple Explanation

This study aimed to identify key biomarkers related to immune infiltration and osteoclast differentiation in ankylosing spondylitis (AS) using bioinformatic methods. The researchers used gene expression data from the Gene Expression Omnibus database and performed various bioinformatics analyses to identify differentially expressed genes and their functions. The study found that dysregulation of PLCG2 and IFNAR1 are key factors in the development of AS through regulating immune infiltration and osteoclast differentiation.

Study Duration
Not specified
Participants
Six AS patients and six health volunteers
Evidence Level
Not specified

Key Findings

  • 1
    125 DEGs were identified, consisting of 36 upregulated and 89 downregulated genes that are involved in the cell cycle and replication processes.
  • 2
    Immune infiltration analysis found that naive CD4+ T cells and monocytes may be involved in the process of AS.
  • 3
    The mRNA expression levels of PLCG2 in AS were significantly higher than that in the normal person, while IFNAR1 mRNA expression levels were significantly lower.

Research Summary

The study aimed to identify key biomarkers related to immune infiltration and osteoclast differentiation in ankylosing spondylitis (AS) using bioinformatic methods on publicly available microarray datasets. The analysis revealed 125 differentially expressed genes (DEGs), with significant enrichment in pathways associated with immune response, and identified PLCG2 and IFNAR1 as key genes involved in immune cell infiltration and osteoclast differentiation. qRT-PCR validation confirmed that PLCG2 mRNA expression was significantly higher in AS patients, while IFNAR1 mRNA expression was significantly lower, supporting the bioinformatics findings.

Practical Implications

Therapeutic Target Identification

PLCG2 and IFNAR1 could be potential therapeutic targets for AS.

Diagnostic Biomarkers

PLCG2 and IFNAR1 mRNA expression levels in peripheral blood could serve as diagnostic biomarkers for AS.

Understanding AS Pathogenesis

The study contributes to a better understanding of the root cause of spondyloarthritis and therapeutic methods.

Study Limitations

  • 1
    Used the GEO database instead of our patient data, and there was unknown bias
  • 2
    Data validation is not sufficient relatively
  • 3
    qRT-PCR should be used to show the link between hub gene expression and AS clinical characteristics

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