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Integrated, multicohort analysis reveals unified signature of systemic lupus erythematosus
Winston A. Haynes, … , Paul J. Utz, Purvesh Khatri
Winston A. Haynes, … , Paul J. Utz, Purvesh Khatri
Published January 23, 2020
Citation Information: JCI Insight. 2020;5(4):e122312. https://doi.org/10.1172/jci.insight.122312.
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Research Article

Integrated, multicohort analysis reveals unified signature of systemic lupus erythematosus

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Abstract

Systemic lupus erythematosus (SLE) is a complex autoimmune disease that follows an unpredictable disease course and affects multiple organs and tissues. We performed an integrated, multicohort analysis of 7,471 transcriptomic profiles from 40 independent studies to identify robust gene expression changes associated with SLE. We identified a 93-gene signature (SLE MetaSignature) that is differentially expressed in the blood of patients with SLE compared with healthy volunteers; distinguishes SLE from other autoimmune, inflammatory, and infectious diseases; and persists across diverse tissues and cell types. The SLE MetaSignature correlated significantly with disease activity and other clinical measures of inflammation. We prospectively validated the SLE MetaSignature in an independent cohort of pediatric patients with SLE using a microfluidic quantitative PCR (qPCR) array. We found that 14 of the 93 genes in the SLE MetaSignature were independent of IFN-induced and neutrophil-related transcriptional profiles that have previously been associated with SLE. Pathway analysis revealed dysregulation associated with nucleic acid biosynthesis and immunometabolism in SLE. We further refined a neutropoiesis signature and identified underappreciated transcripts related to immune cells and oxidative stress. In our multicohort, transcriptomic analysis has uncovered underappreciated genes and pathways associated with SLE pathogenesis, with the potential to advance clinical diagnosis, biomarker development, and targeted therapeutics for SLE.

Authors

Winston A. Haynes, D. James Haddon, Vivian K. Diep, Avani Khatri, Erika Bongen, Gloria Yiu, Imelda Balboni, Christopher R. Bolen, Rong Mao, Paul J. Utz, Purvesh Khatri

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Figure 6

SLE MetaSignature genes dependent or independent of IFN stimulation.

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SLE MetaSignature genes dependent or independent of IFN stimulation.
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Based on our meta-analysis of 16 data sets of type I IFN stimulation in primary cells, we estimated IFN effect sizes in response to stimulation. We compared the SLE MetaSignature to the results of an IFN meta-analysis by examining SLE effect size versus IFN effect size. For a volcano plot for all of the IFN effect sizes, please see Supplemental Figure 6.

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