Systemic lupus erythematosus (SLE) is a heterogeneous autoimmune disease with challenging early diagnosis. Aberrant programmed cell death (PCD) is critical in SLE pathogenesis. This study aimed to identify key PCD genes for SLE diagnosis and disease activity assessment. Integrated bioinformatics analysis was conducted on three whole-blood transcriptomic datasets (GSE65391, GSE110174, GSE154851) from GEO. Machine learning algorithms (LASSO, SVM-RFE) identified hub genes across 18 PCD types. ssGSEA and logistic regression determined the predominant PCD pathway. Immune infiltration and correlation analyses evaluated clinical relevance. Necroptosis was identified as the most discriminative PCD pathway (AUC = 0.950, 95% CI: 0.921–0.979). Seven necroptosis-related genes (STAT1, STAT2, ZBP1, CASP1, TNFSF10, RIPK3, IL1B) were validated as key diagnostic biomarkers. A multivariate logistic regression model demonstrated robust performance across training and external validation cohorts, confirmed by internal validation (20 SLE patients and 16 healthy controls). The seven genes correlated significantly with dysregulated immune cells and were positively associated with SLEDAI, dsDNA levels, and neutrophil percentages. Necroptosis is a critical PCD pathway in SLE. The seven necroptosis-related genes represent promising diagnostic biomarkers and therapeutic targets.
Wang et al. (Sun,) studied this question.