Machine learning-based transcriptomic analysis identifies NAMPT and SAT1 as potential biomarkers and therapeutic targets in ferroptosis-associated rheumatoid arthritis

  • 0Integrative Multiomics Lab, School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India.

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Summary

This summary is machine-generated.

This study identifies eight key ferroptosis-related genes that are significantly associated with rheumatoid arthritis (RA). NAMPT and SAT1 show potential as diagnostic and therapeutic targets for RA by influencing immunity.

Area Of Science

  • Immunology
  • Genetics
  • Biochemistry

Background

  • Rheumatoid arthritis (RA) is a chronic autoimmune disease with systemic involvement.
  • Ferroptosis, an iron-dependent cell death, is implicated in RA pathogenesis but its genetic underpinnings are unclear.
  • Understanding ferroptosis-related genes in RA is crucial for developing new diagnostic and therapeutic strategies.

Purpose Of The Study

  • To identify ferroptosis-related genes associated with RA.
  • To evaluate the diagnostic, prognostic, and therapeutic potential of these genes.
  • To explore their role in immune modulation within RA.

Main Methods

  • Transcriptomic data (GSE89408) analyzed using R software and weighted gene coexpression network analysis (WGCNA).
  • Differentially expressed genes (DEGs) and ferroptosis genes identified; common genes analyzed for ontology and pathways.
  • Hub genes identified via LASSO, Random Forest, and SVM; diagnostic efficiency and immune cell correlation predicted.

Main Results

  • 9176 DEGs and a 314-gene RA-correlated module identified; 17 common genes selected.
  • Eight hub genes (CISD2, LACTB, PRNP, SAT1, NAMPT, MITD1, SOD2, FASN) identified with good diagnostic performance.
  • Hub genes significantly associated with immune infiltrating cells in RA.

Conclusions

  • Eight hub genes (NAMPT, CISD2, LACTB, PRNP, SAT1, SOD2, MITD1, FASN) may modulate RA through ferroptosis and immune influence.
  • NAMPT and SAT1 demonstrate significant potential for RA diagnosis and treatment.
  • Further validation in larger cohorts and exploration of therapeutic applications are warranted.