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Latent autoimmunity across disease-specific boundaries in at-risk first-degree relatives of SLE and RA patients.

Authors
  • James, Judith A1
  • Chen, Hua2
  • Young, Kendra A3
  • Bemis, Elizabeth A3
  • Seifert, Jennifer3
  • Bourn, Rebecka L2
  • Deane, Kevin D3
  • Demoruelle, M Kristen3
  • Feser, Marie3
  • O'Dell, James R4
  • Weisman, Michael H5
  • Keating, Richard M6
  • Gaffney, Patrick M2
  • Kelly, Jennifer A2
  • Langefeld, Carl D7
  • Harley, John B8
  • Robinson, William9
  • Hafler, David A10
  • O'Connor, Kevin C10
  • Buckner, Jane11
  • And 3 more
  • 1 Oklahoma Medical Research Foundation, Oklahoma City, OK, USA; University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA. Electronic address: [email protected]
  • 2 Oklahoma Medical Research Foundation, Oklahoma City, OK, USA.
  • 3 University of Colorado, Aurora, CO, USA.
  • 4 University of Nebraska Medical Center, Omaha, NE, USA.
  • 5 Cedars-Sinai Medical Center, Los Angeles, California, USA.
  • 6 The University of Chicago, Chicago, IL, USA.
  • 7 Wake Forest School of Medicine, Winston-Salem, NC, USA.
  • 8 Cincinnati Children's Hospital Medical Center, The University of Cincinnati College of Medicine, and Cincinnati US Department of Veterans Affairs VA Medical Center, Cincinnati, OH, USA.
  • 9 Stanford University, Palo Alto, CA, USA.
  • 10 Yale School of Medicine, New Haven, CT, USA.
  • 11 Benaroya Research Institute at Virginia Mason, Seattle, Washington, USA.
Type
Published Article
Journal
EBioMedicine
Publisher
Elsevier
Publication Date
Apr 01, 2019
Volume
42
Pages
76–85
Identifiers
DOI: 10.1016/j.ebiom.2019.03.063
PMID: 30952617
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

Autoimmune disease prevention requires tools to assess an individual's risk of developing a specific disease. One tool is disease-associated autoantibodies, which accumulate in an asymptomatic preclinical period. However, patients sometimes exhibit autoantibodies associated with a different disease classification. When and how these alternative autoantibodies first appear remain unknown. This cross-sectional study characterizes alternative autoimmunity, and associated genetic and environmental factors, in unaffected first-degree relatives (FDRs) of patients, who exhibit increased future risk for the same disease. Samples (n = 1321) from disease-specific autoantibody-positive (aAb+) systemic lupus erythematosus (SLE), rheumatoid arthritis (RA), and type 1 diabetes (T1D) patients; and unaffected aAb+ and autoantibody-negative (aAb-) SLE and RA FDRs were tested for SLE, RA, and T1D aAbs, as well as anti-tissue transglutaminase, anti-cardiolipin and anti-thyroperoxidase. FDR SLE and RA genetic risk scores (GRS) were calculated. Alternative autoimmunity occurred in SLE patients (56%) and FDRs (57·4%), RA patients (32·6%) and FDRs (34·8%), and T1D patients (43%). Expanded autoimmunity, defined as autoantibodies spanning at least two other diseases, occurred in 18·5% of SLE patients, 16·4% of SLE FDRs, 7·8% of RA patients, 5·3% of RA FDRs, and 10·8% of T1D patients. SLE FDRs were more likely to have alternative (odds ratio [OR] 2·44) and expanded (OR 3·27) autoimmunity than RA FDRs. Alternative and expanded autoimmunity were associated with several environmental exposures. Alternative autoimmunity was associated with a higher RA GRS in RA FDRs (OR 1·41), and a higher SLE GRS in aAb+ RA FDRs (OR 1·87), but not in SLE FDRs. Autoimmunity commonly crosses disease-specific boundaries in systemic (RA, SLE) and organ-specific (T1D) autoimmune diseases. Alternative autoimmunity is more common in SLE FDRs than RA FDRs, and is influenced by genetic and environmental factors. These findings have substantial implications for preclinical disease pathogenesis and autoimmune disease prevention studies. FUND: NIH U01AI101981, R01AR051394, U19AI082714, P30AR053483, P30GM103510, U54GM104938, U01AI101934, R01AI024717, U01AI130830, I01BX001834, & U01HG008666. Copyright © 2019 The Authors. Published by Elsevier B.V. All rights reserved.

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