Objectives Systemic lupus erythematosus (SLE) is a complex autoimmune disease. Significant morbidity and early mortality necessitate early intervention. This study harnessed SLE-associated immune dysregulation to create a Lupus Classification Risk Index (LCRII) and Lupus Disease Activity Immune Index (LDAII) that identified individuals at risk for SLE classification and disease activity. Methods The LCRII was developed from 84 military personnel who developed classified SLE (≥4 American College of Rheumatology criteria) versus matched healthy controls, which was confirmed in 56 lupus blood relatives who developed SLE versus 154 matched unaffected relatives and 77 unrelated controls. The LDAII was informed by SLE patient visits with low (n=132) or active (n=179) disease and 48 matched controls. Data from blood samples assessed for circulating SLE-associated autoantibody specificities and soluble immune mediators informed the LCRII and LDAII. Random forest modelling guided the selection of informative analytes. Results An LCRII informed by 32 or 17 log-transformed/standardised mediators, weighted by their correlation to SLE-associated autoantibodies, differentiated pre-SLE individuals before reaching disease classification (area under the curve (AUC) ≥0.79, p0.6, p ≤ 0.002 , effect size ≥0.4), including clinical/serologic active versus quiescent disease (AUC ≥0.7, p<0.0001, effect size ≥0.6). The LDAII-26, LDAII-13 and select mediators MCP-1/CCL2, TNFRII, SCF, IL-2Rα, IL-10 and TGF-β differentiated renal and serositis manifestations. Conclusions We have conceptualised two immune mediator-informed indexes, the LCRII that predicts SLE from months to years before clinical presentation, and the LDAII that analogously predicts active disease in SLE to distinguish patients who would benefit from early intervention.
Lu et al. (Tue,) studied this question.