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Integrated, multicohort analysis reveals unified signature of systemic lupus erythematosus
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
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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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 8

Identification of underappreciated non-IFN, nonneutrophil SLE MetaSignature genes.

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Identification of underappreciated non-IFN, nonneutrophil SLE MetaSignat...
(A) IFN effect size versus neutrophil effect size. Neutrophil effect size estimated from immunoStates (33). Red indicates the 70 genes that were in the SLE MetaSignature and were significantly differentially expressed in response to IFN. Green indicates the 9 genes that were in the SLE MetaSignature, were not significantly differentially expressed in response to IFN, and were significantly differentially expressed in neutrophils. Blue indicates the 14 genes in the SLE MetaSignature that were not significantly differentially expressed in neutrophils or in response to IFN stimulation. Dashed lines indicate an effect size threshold of |0.8| for both neutrophil and IFN effect sizes. (B) Cell lines that were chronically exposed to cadmium displayed an increased underappreciated SLE MetaScore compared with control cell lines. (C) Cells exposed to a water soluble zinc compound exhibited an increased underappreciated SLE MetaScore compared with those exposed to both a control compound and an insoluble form of zinc (40). For all panels, Mann-Whitney U test was used to calculate P values, shown for pairwise comparisons.

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