Skip to main content

Main menu

  • Home
  • Content
    • First Release
    • Current
    • Archives
    • Collections
    • Audiovisual Rheum
    • 50th Volume Reprints
  • Resources
    • Guide for Authors
    • Submit Manuscript
    • Payment
    • Reviewers
    • Advertisers
    • Classified Ads
    • Reprints and Translations
    • Permissions
    • Meetings
    • FAQ
    • Policies
  • Subscribers
    • Subscription Information
    • Purchase Subscription
    • Your Account
    • Terms and Conditions
  • About Us
    • About Us
    • Editorial Board
    • Letter from the Editor
    • Duncan A. Gordon Award
    • Privacy/GDPR Policy
    • Accessibility
  • Contact Us
  • JRheum Supplements
  • Services

User menu

  • My Cart
  • Log In

Search

  • Advanced search
The Journal of Rheumatology
  • JRheum Supplements
  • Services
  • My Cart
  • Log In
The Journal of Rheumatology

Advanced Search

  • Home
  • Content
    • First Release
    • Current
    • Archives
    • Collections
    • Audiovisual Rheum
    • 50th Volume Reprints
  • Resources
    • Guide for Authors
    • Submit Manuscript
    • Payment
    • Reviewers
    • Advertisers
    • Classified Ads
    • Reprints and Translations
    • Permissions
    • Meetings
    • FAQ
    • Policies
  • Subscribers
    • Subscription Information
    • Purchase Subscription
    • Your Account
    • Terms and Conditions
  • About Us
    • About Us
    • Editorial Board
    • Letter from the Editor
    • Duncan A. Gordon Award
    • Privacy/GDPR Policy
    • Accessibility
  • Contact Us
  • Follow Jrheum on BlueSky
  • Follow jrheum on Twitter
  • Visit jrheum on Facebook
  • Follow jrheum on LinkedIn
  • Follow jrheum on YouTube
  • Follow jrheum on Instagram
  • Follow jrheum on RSS
ProceedingsPoster Presentations
Open Access

Autoantibody Clusters and SIGLEC1 are Predictive of Systemic Lupus Erythematosus Development

May Choi, Alice Horisberger, Emily Oakes, Eilish Dillon, Ifeoluwakiisi Adejoorin, Julia Caldropoli, Kathryne Marks, Takanori Sasaki, Farbod Moghaddam, Paul Sciore, Marvin Fritzler, Deepak Rao and Karen Costenbader
The Journal of Rheumatology August 2026, 53 (Suppl 1) 73; DOI: https://doi.org/10.3899/jrheum.2026-0447.55
May Choi
University of Calgary, Calgary
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Alice Horisberger
University of Lausanne, Lausanne
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Emily Oakes
Brigham and Women’s Hospital, Boston
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Eilish Dillon
Brigham and Women’s Hospital, Boston
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ifeoluwakiisi Adejoorin
Brigham and Women’s Hospital, Boston
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Julia Caldropoli
Brigham and Women’s Hospital, Boston
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Kathryne Marks
Brigham and Women’s Hospital, Boston
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Takanori Sasaki
Brigham and Women’s Hospital, Boston
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Farbod Moghaddam
University of Calgary, Calgary
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Paul Sciore
Mitogen Diagnostics Laboratory, Calgary
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Marvin Fritzler
Mitogen Diagnostics Laboratory, Calgary
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Deepak Rao
Brigham and Women’s Hospital, Boston
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Karen Costenbader
Brigham and Women’s Hospital, Boston
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • References
  • PDF
Previous
Loading

Abstract

Objectives Up to one-third of patients with suspected SLE progress to definite disease, but reliable predictive markers are lacking. Previously, we developed a Lupus Lymphocyte Activation Score (LLAS) based on key cell subsets (transitional B cells, age-associated B cells, plasmablasts, Tph cells, and Tfh cells) observed in those with or at risk of developing SLE.[1] Here we examined the relationship between autoantibody profiles, blood sialic acid binding Ig like lectin 1 (SIGLEC1, a novel biomarker of macrophage type I interferon), LLAS, and systemic autoimmune rheumatic disease (SARD) development among those with suspected disease.

Methods Blood samples were collected from 45 patients with new onset (< 5 yrs), positive ANAs, and suspected SLE at Brigham and Women’s Hospital Lupus Center. At baseline, none met SLE or other SARD classification criteria. All received prednisone <10mg/day and no immunosuppressants. Using baseline samples, soluble SIGLEC1 was measured by ELISA and a comprehensive autoantibody profile was performed: ANA by indirect immunofluorescence assay on HEp-2 cells and patterns classified according to the International Consensus on ANA Pattern anti-cell (AC) nomenclature, SLE-related autoantibodies, including anti-DFS70 by a fully automated multi-analyte system using particle-based multi-analyte technology, and anti-C1q and anti-phospholipid antibodies by ELISA. To examine patterns of autoantibodies, we used hierarchical clustering and investigated their relationships with disease progression, LLAS (sum of standardized proportions of each of 5 lymphocyte subsets above), and SIGLEC1 levels.

Results Of 45 patients, 36 had multiple visits with a mean follow-up of 13.6 months. In follow-up, 3 patients were diagnosed with SLE and met 2012 SLICC or 2019 EULAR/ACR criteria; 4 were diagnosed with or suspected of new dermatomyositis or Sjögren disease. We identified 5 clusters of suspected SLE patients based on autoantibody profiles (Figure 1A). Cluster A (AC-4 nuclear speckled with multiple autoantibody reactivity including anti-RNP, -dsDNA, -anti-Ro60/SSA) was more likely to progress or develop a CTD including SLE (OR 1.94, 95% CI 0.42-3.46) than others (Figure 1B), particularly compared to Cluster C (no autoantibodies). Cluster A also had significantly higher SIGLEC1 vs Cluster E (Figure 1C). There was no difference in LLAS by autoantibody cluster (Figure 1D).

Fig 1A) Five autoantibody clusters (A-E) based on baseline samples of 45 suspected SLE (L to R): Cluster A (n=11) nuclear speckled pattern (AC-4) with the greatest autoantibody reactivity including anti-RNP, anti-dsDNA, and anti-TROVE2/Ro60, Cluster B (n=4) nuclear large speckled pattern (AC-5), Cluster C (n=9) negative ANA (AC-0) with rare autoantibodies at low titers, Cluster D (n=9) isolated anti-DFS70 antibody with dense fine speckled (AC2) pattern, and Cluster E (n=12) nuclear speckled with mitotic plate staining (AC-30). Fig 1B) Cluster A (AC-4 nuclear speckled pattern and multiple autoantibody reactivity) had largest N with disease progression +/− definite SLE or other SARD at follow-up. *denotes a significant difference in proportion of patients who had disease progression +/− definite SLE or other CTD at follow-up (Cluster A vs. C, diff. 43.43%, 95%CI 0.08%-0.79%). Fig 1C) 5 autoAb clusters of suspected SLE patients and median SIGLEC1. Cluster A had higher median SIGLEC1 than others. Fig 1D) Lupus Lymphocyte Activation Score (LLAS) not statistically different across autoAb clusters
  • Download figure
  • Open in new tab
  • Download powerpoint

Fig 1A) Five autoantibody clusters (A-E) based on baseline samples of 45 suspected SLE (L to R): Cluster A (n=11) nuclear speckled pattern (AC-4) with the greatest autoantibody reactivity including anti-RNP, anti-dsDNA, and anti-TROVE2/Ro60, Cluster B (n=4) nuclear large speckled pattern (AC-5), Cluster C (n=9) negative ANA (AC-0) with rare autoantibodies at low titers, Cluster D (n=9) isolated anti-DFS70 antibody with dense fine speckled (AC2) pattern, and Cluster E (n=12) nuclear speckled with mitotic plate staining (AC-30). Fig 1B) Cluster A (AC-4 nuclear speckled pattern and multiple autoantibody reactivity) had largest N with disease progression +/− definite SLE or other SARD at follow-up. *denotes a significant difference in proportion of patients who had disease progression +/− definite SLE or other CTD at follow-up (Cluster A vs. C, diff. 43.43%, 95%CI 0.08%-0.79%). Fig 1C) 5 autoAb clusters of suspected SLE patients and median SIGLEC1. Cluster A had higher median SIGLEC1 than others. Fig 1D) Lupus Lymphocyte Activation Score (LLAS) not statistically different across autoAb clusters

Conclusion Autoantibody profile characterized by nuclear speckled with multiple autoantibody reactivity, including anti-RNP, -dsDNA, and -Ro60/SSA, was predictive of SARD development. This cluster also had higher baseline SIGLEC1 vs those with monospecific DFS70 antibodies or no autoantibodies. Further analyses will assess whether LLAS, SIGLEC1, and autoantibodies are complementary, and when combined, could enhance the prediction of SLE development.

References [1.] Horisberger A. [Abstract]. Arthritis Rheumatol 2024;76 Suppl 9.

  • Copyright © 2026 by the Journal of Rheumatology

This is an Open Access article, which permits use, distribution, and reproduction, without modification, provided the original article is correctly cited and is not used for commercial purposes.

Previous
Back to top

In this issue

The Journal of Rheumatology: 53 (Suppl 1)
The Journal of Rheumatology
Vol. 53, Issue Suppl 1
1 Aug 2026
  • Table of Contents
  • Table of Contents (PDF)
  • Index by Author
  • Editorial Board (PDF)
  • Front Matter (PDF)
  • Complete Issue (PDF)
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word about The Journal of Rheumatology.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Autoantibody Clusters and SIGLEC1 are Predictive of Systemic Lupus Erythematosus Development
(Your Name) has forwarded a page to you from The Journal of Rheumatology
(Your Name) thought you would like to see this page from the The Journal of Rheumatology web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
Autoantibody Clusters and SIGLEC1 are Predictive of Systemic Lupus Erythematosus Development
May Choi, Alice Horisberger, Emily Oakes, Eilish Dillon, Ifeoluwakiisi Adejoorin, Julia Caldropoli, Kathryne Marks, Takanori Sasaki, Farbod Moghaddam, Paul Sciore, Marvin Fritzler, Deepak Rao, Karen Costenbader
The Journal of Rheumatology Aug 2026, 53 (Suppl 1) 73; DOI: 10.3899/jrheum.2026-0447.55

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero

 Request Permissions

Share
Autoantibody Clusters and SIGLEC1 are Predictive of Systemic Lupus Erythematosus Development
May Choi, Alice Horisberger, Emily Oakes, Eilish Dillon, Ifeoluwakiisi Adejoorin, Julia Caldropoli, Kathryne Marks, Takanori Sasaki, Farbod Moghaddam, Paul Sciore, Marvin Fritzler, Deepak Rao, Karen Costenbader
The Journal of Rheumatology Aug 2026, 53 (Suppl 1) 73; DOI: 10.3899/jrheum.2026-0447.55
del.icio.us logo Twitter logo Facebook logo  logo Mendeley logo
  • Tweet Widget
  •  logo
Bookmark this article

Jump to section

  • Article
  • Figures & Data
  • Info & Metrics
  • References
  • PDF

Related Articles

Cited By...

More in this TOC Section

  • Lenalidomide-Induced Large Vessel Vasculitis and Pachymeningitis Complicating Treatment of Follicular Lymphoma: A Case Report
  • Idiopathic AA Renal Amyloidosis Treated with Tocilizumab — A Case Report
  • Implementation of the Appointments by Choice Model for Rheumatoid Arthritis: A Patient-Initiated Follow-Up Pilot Study
Show more Poster Presentations

Similar Articles

Content

  • First Release
  • Current
  • Archives
  • Collections
  • Audiovisual Rheum
  • COVID-19 and Rheumatology

Resources

  • Guide for Authors
  • Submit Manuscript
  • Author Payment
  • Reviewers
  • Advertisers
  • Classified Ads
  • Reprints and Translations
  • Permissions
  • Meetings
  • FAQ
  • Policies

Subscribers

  • Subscription Information
  • Purchase Subscription
  • Your Account
  • Terms and Conditions

More

  • About Us
  • Contact Us
  • My Alerts
  • My Folders
  • Privacy/GDPR Policy
  • RSS Feeds
The Journal of Rheumatology
The content of this site is intended for health care professionals.
Copyright © 2025 by The Journal of Rheumatology Publishing Co. Ltd.
Print ISSN: 0315-162X; Online ISSN: 1499-2752
Powered by HighWire