Identification of Disulfidptosis-Related Genes and Molecular Subgroups in Rheumatoid Arthritis for Diagnostic Model and Patient Stratification
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View abstract on PubMed
Summary
This summary is machine-generated.This study identifies four key genes linking disulfidptosis, a novel cell death pathway, to rheumatoid arthritis (RA). A diagnostic model and patient stratification based on these genes offer new insights for RA assessment.
Area Of Science
- Immunology
- Cell Biology
- Genetics
Background
- Rheumatoid arthritis (RA) pathogenesis involves complex cell death pathways.
- Disulfidptosis, characterized by disulfide bond accumulation, is a newly identified cell death mechanism.
- The specific role of disulfidptosis in RA pathogenesis remains largely unexplored.
Purpose Of The Study
- To investigate the association between disulfidptosis and rheumatoid arthritis.
- To identify key genes involved in disulfidptosis relevant to RA.
- To develop a diagnostic model and patient stratification for RA based on these genes.
Main Methods
- Utilized weighted gene co-expression network analysis (WGCNA) and differential gene expression analysis on public RA datasets.
- Employed machine learning algorithms to identify hub genes associated with RA and disulfidptosis.
- Constructed a diagnostic model using nomograms and ROC curves; performed consensus clustering for patient stratification.
Main Results
- Identified four hub genes (KLHL2, POLK, CLEC4D, NXT2) significantly upregulated in RA patients.
- Validated a diagnostic model with superior performance compared to individual genes.
- Discovered two RA subtypes with distinct clinical and immunological profiles based on hub gene expression.
Conclusions
- Four hub genes provide novel insights into disulfidptosis in RA.
- The developed diagnostic model and patient stratification aid in assessing RA risk and disease activity.
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