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Distinct HLA associations with autoantibody-defined subgroups in idiopathic inflammatory myopathiesResearch in context

Authors :
Valérie Leclair
Angeles S. Galindo-Feria
Simon Rothwell
Olga Kryštůfková
Sepehr Sarrafzadeh Zargar
Herman Mann
Louise Pyndt Diederichsen
Helena Andersson
Martin Klein
Sarah Tansley
Lars Rönnblom
Kerstin Lindblad-Toh
Ann-Christine Syvänen
Marie Wahren-Herlenius
Johanna K. Sandling
Neil McHugh
Janine A. Lamb
Jiri Vencovský
Hector Chinoy
Marie Holmqvist
Matteo Bianchi
Leonid Padyukov
Ingrid E. Lundberg
Lina-Marcela Diaz-Gallo
Sergey V. Kozyrev
Maija-Leena Eloranta
Dag Leonard
Johanna Dahlqvist
Maria Lidén
Argyri Mathioudaki
Jennifer RS. Meadows
Jessika Nordin
Gunnel Nordmark
Antonella Notarnicola
Anna Tjärnlund
Maryam Dastmalchi
Daniel Eriksson
Øyvind Molberg
Fabiana H.G. Farias
Awat Jalal
Balsam Hanna
Helena Hellström
Tomas Husmark
Åsa Häggström
Anna Svärd
Thomas Skogh
Robert G. Cooper
Gerli Rosengren Pielberg
Anna Lobell
Åsa Karlsson
Eva Murén
Kerstin M. Ahlgren
Göran Andersson
Nils Landegren
Olle Kämpe
Peter Söderkvis
Source :
EBioMedicine, Vol 96, Iss , Pp 104804- (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

Summary: Background: In patients with idiopathic inflammatory myopathies (IIM), autoantibodies are associated with specific clinical phenotypes suggesting a pathogenic role of adaptive immunity. We explored if autoantibody profiles are associated with specific HLA genetic variants and clinical manifestations in IIM. Methods: We included 1348 IIM patients and determined the occurrence of 14 myositis-specific or –associated autoantibodies. We used unsupervised cluster analysis to identify autoantibody-defined subgroups and logistic regression to estimate associations with clinical manifestations, HLA-DRB1, HLA-DQA1, HLA-DQB1 alleles, and amino acids imputed from genetic information of HLA class II and I molecules. Findings: We identified eight subgroups with the following dominant autoantibodies: anti-Ro52, -U1RNP, -PM/Scl, -Mi2, -Jo1, -Jo1/Ro52, -TIF1γ or negative for all analysed autoantibodies. Associations with HLA-DRB1∗11, HLA-DRB1∗15, HLA-DQA1∗03, and HLA-DQB1∗03 were present in the anti-U1RNP-dominated subgroup. HLA-DRB1∗03, HLA-DQA1∗05, and HLA-DQB1∗02 alleles were overrepresented in the anti-PM/Scl and anti-Jo1/Ro52-dominated subgroups. HLA-DRB1∗16, HLA-DRB1∗07 alleles were most frequent in anti-Mi2 and HLA-DRB1∗01 and HLA-DRB1∗07 alleles in the anti-TIF1γ subgroup. The HLA-DRB1∗13, HLA-DQA1∗01 and HLA-DQB1∗06 alleles were overrepresented in the negative subgroup. Significant signals from variations in class I molecules were detected in the subgroups dominated by anti-Mi2, anti-Jo1/Ro52, anti-TIF1γ, and the negative subgroup. Interpretation: Distinct HLA class II and I associations were observed for almost all autoantibody-defined subgroups. The associations support autoantibody profiles use for classifying IIM which would likely reflect underlying pathogenic mechanisms better than classifications based on clinical symptoms and/or histopathological features. Funding: See a detailed list of funding bodies in the Acknowledgements section at the end of the manuscript.

Details

Language :
English
ISSN :
23523964
Volume :
96
Issue :
104804-
Database :
Directory of Open Access Journals
Journal :
EBioMedicine
Publication Type :
Academic Journal
Accession number :
edsdoj.f34c318e869f47ad9bf811500507e9f3
Document Type :
article
Full Text :
https://doi.org/10.1016/j.ebiom.2023.104804