Video: Every Case Tells a Story| Webinar: ACR/CHEST ILD Guidelines in Practice

An official publication of the ACR and the ARP serving rheumatologists and rheumatology professionals

  • Conditions
    • Axial Spondyloarthritis
    • Gout and Crystalline Arthritis
    • Myositis
    • Osteoarthritis and Bone Disorders
    • Pain Syndromes
    • Pediatric Conditions
    • Psoriatic Arthritis
    • Rheumatoid Arthritis
    • Sjögren’s Disease
    • Systemic Lupus Erythematosus
    • Systemic Sclerosis
    • Vasculitis
    • Other Rheumatic Conditions
  • FocusRheum
    • ANCA-Associated Vasculitis
    • Axial Spondyloarthritis
    • Gout
    • Psoriatic Arthritis
    • Rheumatoid Arthritis
    • Systemic Lupus Erythematosus
  • Guidance
    • Clinical Criteria/Guidelines
    • Ethics
    • Legal Updates
    • Legislation & Advocacy
    • Meeting Reports
      • ACR Convergence
      • Other ACR meetings
      • EULAR/Other
    • Research Rheum
  • Drug Updates
    • Analgesics
    • Biologics/DMARDs
  • Practice Support
    • Billing/Coding
    • EMRs
    • Facility
    • Insurance
    • QA/QI
    • Technology
    • Workforce
  • Opinion
    • Patient Perspective
    • Profiles
    • Rheuminations
      • Video
    • Speak Out Rheum
  • Career
    • ACR ExamRheum
    • Awards
    • Career Development
  • ACR
    • ACR Home
    • ACR Convergence
    • ACR Guidelines
    • Journals
      • ACR Open Rheumatology
      • Arthritis & Rheumatology
      • Arthritis Care & Research
    • From the College
    • Events/CME
    • President’s Perspective
  • Search

Study Reveals Role of IL-17–Secreting CD4+ T Cells in Lupus

Lara C. Pullen, PhD  |  Issue: June 2015  |  June 15, 2015

The investigators then attempted to correlate their findings in mice to patients with SLE and MCTD. They found that the Th17 cells could be detected in a subset of patients with SLE as well as patients with MCTD. They also found that autoantibodies against U1-70, U1-A, and small nuclear ribonucleoprotein (Sn/RNP) were significantly increased in patients with MCTD.

The authors conclude their paper by explaining that T cell therapies such as antigen-specific tolerizing therapy from a peptide derived from U1-70 are being explored as a possible treatment for SLE. The current study describes tools (tetramer reagents) that can be used to characterize antigen-specific CD4+ T cells in lupus. A better understanding of these cells may facilitate the development of T-cell based therapeutic interventions.

ad goes here:advert-1
ADVERTISEMENT
SCROLL TO CONTINUE

Dr. Pullen is a medical writer based in the Chicago area.

Reference
1. Kattah NH, Newell EW, Jarrell JA et al. Tetramers reveal IL-17–secreting CD4+ T cells that are specific for U1-70 in lupus and mixed connective tissue disease. Proc Natl Acad Sci USA. 2015. Mar 10;112(10):3044–3049.

ad goes here:advert-2
ADVERTISEMENT
SCROLL TO CONTINUE

Page: 1 2 | Single Page
Share: 

Filed under:ConditionsResearch RheumSystemic Lupus Erythematosus Tagged with:LupusResearchSLET cell

Related Articles

    T Cells in Systemic Lupus Erythematosus

    August 1, 2011

    Progress toward targeted therapy

    A&R Abstracts – T CELLS

    August 1, 2011

    For Further Reading

    Laboratory Testing for Diagnosis, Management of Patients with Rheumatic Disease

    December 1, 2014

    A review of data on antinuclear antibodies and tests for rheumatoid arthritis

    Links Between Gut Bacteria and Rheumatoid Arthritis

    March 19, 2019

    CHICAGO—At the 2018 ACR/ARHP Annual Meeting, Allen C. Steere, MD, delivered the Rheumatology Research Foundation Memorial Lecture honoring the late Charles M. Plotz, MD: Linking Gut Microbial Immunity with Autoimmunity in Joints in Patients with Rheumatoid Arthritis. Dr. Steere is professor of medicine at Harvard Medical School, Boston, and director of translational research in rheumatology…

  • About Us
  • Meet the Editors
  • Issue Archives
  • Contribute
  • Advertise
  • Contact Us
  • Copyright © 2025 by John Wiley & Sons, Inc. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies. ISSN 1931-3268 (print). ISSN 1931-3209 (online).
  • DEI Statement
  • Privacy Policy
  • Terms of Use
  • Cookie Preferences