Are interferon-related biomarkers advantageous for monitoring disease activity in systemic lupus erythematosus? A longitudinal benchmark study.

Objective: To determine the clinical value of six traditional and three IFN-related biomarkers in monitoring disease activity (DA) in SLE. Methods: Prospective longitudinal study of IFNα, IFNγ-inducible protein 10 (IP-10) and sialic acid-binding Ig-like lectin 1 (SIGLEC1) vs antibodies against dsDNA (ELISA and Farr radioimmunoassay), dsDNA-complexed nucleosomes (anti-dsDNA-NcX: ELISA), nucleosomes (ANuA: ELISA) and complement C3/C4 for correlation with DA (measured by BILAG 2004 index) in 26 SLE patients (77 visits). Optimal upper and lower longitudinal thresholds for the biomarkers and their accuracies for reflecting clinically relevant changes in DA (flares and remission) were determined by receiver operating characteristic and Youden index analysis. Results: Increases in IP-10, SIGLEC1 and ANuA to + 101.6 pg/ml, +5.01 relative mean fluorescence intensity and +16.20 IU/ml above the calculated upper longitudinal threshold significantly reflected lupus flares, with a sensitivity and specificity of 50 and 95% for IP-10, 83 and 90% for SIGLEC1 and 58 and 95% for ANuA. Decreases in anti-dsDNA (ELISA), IFNα and anti-dsDNA (Farr assay) to - 64.7 IU/ml, -16.69 pg/ml and -3.3 IU/ml below lower longitudinal thresholds, respectively, best reflected remission, with sensitivity and specificity of 75 and 95%, 62 and 90%, and 75 and 90%, respectively. Conclusion: IP-10, SIGLEC1 and ANuA emerged as advantageous biomarkers for monitoring disease activity. This is the first study in SLE that provides longitudinal biomarker thresholds and test accuracies for SLE flares and remitting disease. In the context of IFN-directed therapies, chemokines and fluorescence-activated cell sorting-based IFN biomarkers for monitoring SLE activity should be further studied.

What is the clinical significance of anti-Sm antibodies in systemic lupus erythematosus? A comparison with anti-dsDNA antibodies and C3.

OBJECTIVES: To investigate the clinical value of anti-Sm antibodies in diagnosis and monitoring of systemic lupus erythematosus (SLE) and their ability to predict lupus flares compared with that of anti-dsDNA antibody and complement (C3) assays. METHODS: Autoantibodies against Smith antigen (Sm) and double-stranded DNA (dsDNA) in sera from SLE (n=232), myositis (n=26), systemic sclerosis (n=81), Sjögren's syndrome (n=88), and rheumatoid arthritis patients (n=165) and healthy donors (n=400) were determined by using enzyme-linked immunosorbent assays (both from Euroimmun). New thresholds for both autoantibodies were calculated by receiver operating characteristics (ROC) curve analysis. Cross-sectional, longitudinal and predictive analyses of anti-Sm and disease activity were also performed. RESULTS: Sensitivities of 25.9% for anti-Sm (cut-off: 3.6 relative units/ml) and 30.2% for anti-dsDNA (cut-off 157.4 international units/ml) were obtained at a specificity of 99%. 14.8% of anti-dsDNA-negative patients were positive for anti-Sm, and more than half (51.4%) of anti-dsDNA-positive patients were also positive for anti-Sm. Anti-Sm antibodies were associated with age (p=0.0174), the number of ACR criteria (p=0.0242), the ACR criteria renal (p=0.0350) and neurologic disorder (p=0.0239), the BILAG category constitutional symptoms (p=0.0227), fatigue (p=0.0311) and cross-sectional disease activity (r=0.2519, p=0.0224). Although no correlations with lupus activity were observed in the longitudinal and predictive analysis, a remarkable association was found between anti-Sm and proteinuria. CONCLUSIONS: Anti-Sm antibodies are essential for diagnosis of SLE, especially in anti-dsDNA-negative patients. However, our data suggest that anti-Sm monitoring is only helpful in SLE patients with active lupus nephritis.

Type I interferon as a biomarker in autoimmunity and viral infection: a leukocyte subset-specific analysis unveils hidden diagnostic options.

Interferon alpha and its surrogates, including IP-10 and SIGLEC1, paralleled changes of disease activity in systemic lupus erythematosus (SLE). However, the whole blood interferon signature (WBIFNS)-the current standard for type I IFN assessment in SLE-does not correlate with SLE disease activity in individual patients over time. The underlying causes for this apparent contradiction have not been convincingly demonstrated. Using a multicenter dataset of gene expression data from leukocyte subsets in SLE, we identify distinctive subset-specific contributions to the WBIFNS. In a subsequent analysis, the effects of type I interferon on cellular blood composition in patients with SLE and hepatitis B were also studied over time. We found that type I interferon mediates significant alterations in whole blood composition, including a neutropenia and relative lymphocytosis. Given different effects of type 1 interferon on different leukocyte subsets, these shifts confound measurement of a type 1 interferon signature in whole blood. To minimize and overcome these limitations of the WBIFNS, we suggest to measure IFN-induced transcripts or proteins in a specific leukocyte subset to improve clinical impact of interferon biomarkers. KEY MESSAGES: Myeloid cells contribute more to the WBIFNS in SLE than their lymphocytic counterpart. Very similar leukocyte subsets reveal distinctive IFN signatures. IFN alpha mixes up composition of blood and leads to a preferential neutropenia, yielding relative lymphocytosis.