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HLA and autoantibodies define scleroderma subtypes and risk in African and European Americans and suggest a role for molecular mimicry
- 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.
- Subjects :
- Male
0301 basic medicine
Secondary
Medical Sciences
autoantibodies
Sequence Homology
Datasets as Topic
medicine.disease_cause
Autoantigens
Scleroderma
0302 clinical medicine
HLA Antigens
Phycodnaviridae
scleroderma
Viral
molecular mimicry
skin and connective tissue diseases
African Americans
education.field_of_study
Multidisciplinary
integumentary system
Biological Sciences
3. Good health
HLA
Amino Acid
Molecular mimicry
Female
Mimiviridae
Protein Structure
European Continental Ancestry Group
Population
mimivirus
Human leukocyte antigen
Biology
Risk Assessment
03 medical and health sciences
Antigen
medicine
Humans
Genetic Predisposition to Disease
Amino Acid Sequence
Antigens
Allele
education
Allele frequency
Alleles
030203 arthritis & rheumatology
Systemic
Autoantibody
Computational Biology
medicine.disease
030104 developmental biology
Immunology
Subjects
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