Association of a gene expression profile from whole blood with disease activity in systemic lupus erythaematosus. Issue 8 (6th December 2007)

• Record Type: Journal Article
• Authors: Nikpour, M; Dempsey, A A; Urowitz, M B; Gladman, D D; Barnes, D A
• Is Part Of: Annals of the rheumatic diseases. Volume 67:Issue 8(2008)
• Page Start: 1069
• Page End: 1075
• Publication Date: 2007-12-06
• Subjects: Rheumatism -- Periodicals; 616.723005
• DOI: 10.1136/ard.2007.074765
• Languages: English
• ISSNs: 0003-4967

Abstract

Abstract : Objective: To determine whether peripheral blood gene expression of patients with systemic lupus erythaematosus (SLE) correlates with disease activity measured using the SLE Disease Activity Index 2000 (SLEDAI-2K). Methods: RNA was isolated from peripheral blood of 269 patients with SLE and profiled on a custom microarray. Hierarchical clustering and a heat map were used to categorise samples into major clusters based on gene expression pattern. Correlates, including demographic and disease-related characteristics such as SLEDAI-2K score, of the major sample clusters were compared using multivariate regression models. Results: A set of 31 interferon (IFN)-regulated genes were seen to be driving the separations of samples into two clusters, one characterised by a relatively high IFN-regulated gene signature (n = 150) and the other by a relatively low IFN-regulated gene signature (n = 119). Disease activity measured using the SLEDAI-2K was significantly correlated with the high IFN gene signature. In multivariate regression analysis the immunological component of the SLEDAI-2K was a significant correlate of the high IFN gene signature as was presence of antibodies to U1RNP. There were no discernable correlates of the 156 non-IFN regulated genes profiled on the custom array. Conclusion: Peripheral blood gene expression profiling (GEP) in SLE allows patients to be categorised into two groups based on a high or low IFN gene signature. Disease activity measured using the SLEDAI-2K is correlated with the high IFN gene signature, indicating that GEP may be a useful biomarker of disease activity in SLE.