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HLA and autoantibodies define scleroderma subtypes and risk in African and European Americans and suggest a role for molecular mimicry

Authors :
Reem Kais Jan
Daniel L. Kastner
Francesco Boin
Chris T. Derk
Kathleen D. Kolstad
Vivien Hsu
Heather Gladue
Virginia D. Steen
Avram Goldberg
Paula S. Ramos
Victoria K. Shanmugam
Dinesh Khanna
Lorinda Chung
Ayo P. Doumatey
Richard M. Silver
Elana J. Bernstein
Amy R. Bentley
Pravitt Gourh
Nadia D. Morgan
Ami A. Shah
Maureen D. Mayes
Lesley Ann Saketkoo
Fredrick M. Wigley
Steven E. Boyden
Brynn Kron
Elena Schiopu
Benjamin D. Korman
Lindsey A. Criswell
Peter J. Steinbach
S. Louis Bridges
Suzanne Kafaja
Thomas A. Medsger
Daniel Shriner
James C. Mullikin
Settara C. Chandrasekharappa
Jessica K. Gordon
Robyn T. Domsic
Elaine F. Remmers
John Varga
Adebowale Adeyemo
Sarah A. Safran
Theresa Alexander
Marcin Trojanowski
Charles N. Rotimi
Source :
Proceedings of the National Academy of Sciences of the United States of America, Proceedings of the National Academy of Sciences of the United States of America, vol 117, iss 1
Publication Year :
2019
Publisher :
Proceedings of the National Academy of Sciences, 2019.

Abstract

Significance HLA alleles have previously been implicated with scleroderma risk, but, in this study, using a European American ancestral cohort and a newly recruited large cohort of African Americans, we comprehensively define the HLA alleles and amino acid residues associated with scleroderma. Scleroderma is characterized by mutually exclusive and specific autoantibodies. We demonstrated ancestry-predominant HLA alleles that were much more strongly associated with autoantibody subsets of scleroderma than with the overall risk of SSc. We bioinformatically predicted immunodominant peptides of self-antigens and demonstrated homology of these peptides with viral protein sequences from Mimiviridae and Phycodnaviridae families. Our findings suggest the hypothesis that scleroderma-specific autoantibodies may arise through molecular mimicry, driven by the interaction of specific viral antigens with corresponding HLA α/β heterodimers.<br />Systemic sclerosis (SSc) is a clinically heterogeneous autoimmune disease characterized by mutually exclusive autoantibodies directed against distinct nuclear antigens. We examined HLA associations in SSc and its autoantibody subsets in a large, newly recruited African American (AA) cohort and among European Americans (EA). In the AA population, the African ancestry-predominant HLA-DRB1*08:04 and HLA-DRB1*11:02 alleles were associated with overall SSc risk, and the HLA-DRB1*08:04 allele was strongly associated with the severe antifibrillarin (AFA) antibody subset of SSc (odds ratio = 7.4). These African ancestry-predominant alleles may help explain the increased frequency and severity of SSc among the AA population. In the EA population, the HLA-DPB1*13:01 and HLA-DRB1*07:01 alleles were more strongly associated with antitopoisomerase (ATA) and anticentromere antibody-positive subsets of SSc, respectively, than with overall SSc risk, emphasizing the importance of HLA in defining autoantibody subtypes. The association of the HLA-DPB1*13:01 allele with the ATA+ subset of SSc in both AA and EA patients demonstrated a transancestry effect. A direct correlation between SSc prevalence and HLA-DPB1*13:01 allele frequency in multiple populations was observed (r = 0.98, P = 3 × 10−6). Conditional analysis in the autoantibody subsets of SSc revealed several associated amino acid residues, mostly in the peptide-binding groove of the class II HLA molecules. Using HLA α/β allelic heterodimers, we bioinformatically predicted immunodominant peptides of topoisomerase 1, fibrillarin, and centromere protein A and discovered that they are homologous to viral protein sequences from the Mimiviridae and Phycodnaviridae families. Taken together, these data suggest a possible link between HLA alleles, autoantibodies, and environmental triggers in the pathogenesis of SSc.

Details

ISSN :
10916490 and 00278424
Volume :
117
Database :
OpenAIRE
Journal :
Proceedings of the National Academy of Sciences
Accession number :
edsair.doi.dedup.....4a93c337973c75c6b198b9d9bb23399b
Full Text :
https://doi.org/10.1073/pnas.1906593116