This multi-cohort analysis examined the correlation between Type I interferon (IFN-I) signatures and alloimmunization-associated transcriptomic programs in Systemic Lupus Erythematosus. The study analyzed publicly available RNA-seq data from 150 SLE patients across three cohorts (GSE72509, GSE112087, GSE122459), using healthy controls as comparators. IFN-I scores were significantly elevated in SLE patients versus healthy controls (p < 0.01 each cohort), and 665 genes were differentially expressed in IFN-high SLE patients.
The primary finding was a significant positive correlation between IFN-I signature scores and alloimmunization signature scores across all three cohorts, with Spearman correlation coefficients of +0.77, +0.51, and +0.60 (all FDR q < 0.05). No association was found between IFN-I scores and T follicular helper cell differentiation. Safety and tolerability data were not reported in this transcriptomic analysis.
Key limitations include the observational study design and the absence of prospective transfusion outcome data. The analysis demonstrates correlation, not causation, between these molecular signatures. The practice relevance is restrained: while the IFN-I score is identified as a candidate biomarker for alloimmunization susceptibility in SLE, its clinical utility cannot be established without prospective validation linking it to actual transfusion reactions or antibody development.
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Red blood cell (RBC) alloimmunization is a clinically significant complication in transfused patients whose immunological determinants remain incompletely understood. Type I interferon (IFN-I) signaling drives RBC alloimmunization in murine models, and systemic lupus erythematosus (SLE) is characterized by constitutive IFN-I hyperactivation alongside elevated alloimmunization rates. We analyzed three publicly available SLE RNA-seq cohorts (GSE72509, GSE112087, GSE122459; whole blood and PBMC; total n = 150 SLE) in a pre-specified discovery-replication-validation design. A 14-gene IFN-I signature score was computed per sample; differential expression, gene set enrichment analysis, and Spearman correlation were performed independently per cohort. IFN-I scores were significantly elevated in SLE versus healthy controls in all three cohorts (p < 0.01 each). IFN-high SLE patients showed 665 differentially expressed genes, with enrichment of alloimmunization-associated and plasmablast differentiation gene sets confirmed by GSEA. The alloimmunization signature score correlated significantly with IFN-I score across all three independent cohorts ({rho} = +0.77, +0.51, +0.60; all FDR q < 0.05); Tfh differentiation showed no association in any cohort. To our knowledge, this represents the first human transcriptomic evidence that IFN-I pathway activity in SLE is coupled to alloimmunization-associated immune programs in vivo. These findings identify IFN-I score as a candidate biomarker of alloimmunization susceptibility in SLE and provide translational rationale for prospective studies incorporating transfusion outcome data.