Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
  • Physician-Scientist Development
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Immunology
    • Metabolism
    • Nephrology
    • Oncology
    • Pulmonology
    • All ...
  • Videos
  • Collections
    • In-Press Preview
    • Resource and Technical Advances
    • Clinical Research and Public Health
    • Research Letters
    • Editorials
    • Perspectives
    • Physician-Scientist Development
    • Reviews
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • In-Press Preview
  • Resource and Technical Advances
  • Clinical Research and Public Health
  • Research Letters
  • Editorials
  • Perspectives
  • Physician-Scientist Development
  • Reviews
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
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
View: Text | PDF
Research Article

Integrated, multicohort analysis reveals unified signature of systemic lupus erythematosus

  • Text
  • PDF
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

×

Figure 3

SLE MetaSignature persists across diseases, tissues, and cell types.

Options: View larger image (or click on image) Download as PowerPoint
SLE MetaSignature persists across diseases, tissues, and cell types.
In ...
In these violin plots, each point represents a patient, and the SLE MetaScore (y axis) has been calculated using the SLE MetaSignature genes. (A and B) The SLE MetaScore distinguished SLE from other diseases. See also Supplemental Figure 2. (C and D) The SLE MetaScore distinguishes SLE from other diseases and healthy controls in diverse tissues. See also Supplemental Figure 3. (E and F) The SLE MetaScore distinguishes SLE patients from healthy and other diseases in sorted immune cells. See also Supplemental Figure 4. RA, rheumatoid arthritis; pSLE, pediatric SLE; aSLE, adult SLE; Staph, staphylococcal infection; Still’s, Still’s disease; Strep, streptococcal pharyngitis; Crystal Arth, microcrystalline arthritis; OA osteoarthritis; and SA, seronegative arthritis. For all panels, Mann-Whitney U test was used to calculate P values for pairwise comparisons.

Copyright © 2026 American Society for Clinical Investigation
ISSN 2379-3708

Sign up for email alerts