Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Journal stats
  • 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
  • Journal stats
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact

Usage Information

Ancestry-based differences in the immune phenotype are associated with lupus activity
Samantha Slight-Webb, Kevin Thomas, Miles Smith, Catriona A. Wagner, Susan Macwana, Aleksandra Bylinska, Michele Donato, Mai Dvorak, Sarah E. Chang, Alex Kuo, Peggie Cheung, Laurynas Kalesinskas, Ananthakrishnan Ganesan, Denis Dermadi, Carla J. Guthridge, Wade DeJager, Christian Wright, Mariko H. Foecke, Joan T. Merrill, Eliza Chakravarty, Cristina Arriens, Holden T. Maecker, Purvesh Khatri, Paul J. Utz, Judith A. James, Joel M. Guthridge
Samantha Slight-Webb, Kevin Thomas, Miles Smith, Catriona A. Wagner, Susan Macwana, Aleksandra Bylinska, Michele Donato, Mai Dvorak, Sarah E. Chang, Alex Kuo, Peggie Cheung, Laurynas Kalesinskas, Ananthakrishnan Ganesan, Denis Dermadi, Carla J. Guthridge, Wade DeJager, Christian Wright, Mariko H. Foecke, Joan T. Merrill, Eliza Chakravarty, Cristina Arriens, Holden T. Maecker, Purvesh Khatri, Paul J. Utz, Judith A. James, Joel M. Guthridge
View: Text | PDF
Resource and Technical Advance Immunology

Ancestry-based differences in the immune phenotype are associated with lupus activity

  • Text
  • PDF
Abstract

Systemic lupus erythematosus (SLE) affects 1 in 537 Black women, which is >2-fold more than White women. Black patients develop the disease at a younger age, have more severe symptoms, and have a greater chance of early mortality. We used a multiomics approach to uncover ancestry-associated immune alterations in patients with SLE and healthy controls that may contribute biologically to disease disparities. Cell composition, signaling, epigenetics, and proteomics were evaluated by mass cytometry; droplet-based single-cell transcriptomics and proteomics; and bead-based multiplex soluble mediator levels in plasma. We observed altered whole blood frequencies and enhanced activity in CD8+ T cells, B cells, monocytes, and DCs in Black patients with more active disease. Epigenetic modifications in CD8+ T cells (H3K27ac) could distinguish disease activity level in Black patients and differentiate Black from White patient samples. TLR3/4/7/8/9-related gene expression was elevated in immune cells from Black patients with SLE, and TLR7/8/9 and IFN-α phospho-signaling and cytokine responses were heightened even in immune cells from healthy Black control patients compared with White individuals. TLR stimulation of healthy immune cells recapitulated the ancestry-associated SLE immunophenotypes. This multiomic resource defines ancestry-associated immune phenotypes that differ between Black and White patients with SLE, which may influence the course and severity of SLE and other diseases.

Authors

Samantha Slight-Webb, Kevin Thomas, Miles Smith, Catriona A. Wagner, Susan Macwana, Aleksandra Bylinska, Michele Donato, Mai Dvorak, Sarah E. Chang, Alex Kuo, Peggie Cheung, Laurynas Kalesinskas, Ananthakrishnan Ganesan, Denis Dermadi, Carla J. Guthridge, Wade DeJager, Christian Wright, Mariko H. Foecke, Joan T. Merrill, Eliza Chakravarty, Cristina Arriens, Holden T. Maecker, Purvesh Khatri, Paul J. Utz, Judith A. James, Joel M. Guthridge

×

Usage data is cumulative from August 2025 through August 2026.

Usage JCI PMC
Text version 3,160 357
PDF 413 87
Figure 1,253 0
Supplemental data 355 29
Citation downloads 396 0
Totals 5,577 473
Total Views 6,050

Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

Advertisement

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

Sign up for email alerts