Clinical Epidemiology Division, Department Medicine Solna, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden; Division of Rheumatology, Jewish General Hospital Lady Davis Institute, Montreal, Canada.
Division of Rheumatology, Department of Medicine, Solna, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden; Center for Molecular Medicine, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden.
EBioMedicine. 2023 Oct;96:104804. doi: 10.1016/j.ebiom.2023.104804. Epub 2023 Sep 26.
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.
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.
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.
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.
See a detailed list of funding bodies in the Acknowledgements section at the end of the manuscript.
在特发性炎性肌病(IIM)患者中,自身抗体与特定的临床表型相关,提示适应性免疫具有致病性。我们探讨了自身抗体谱是否与 IIM 中的特定 HLA 遗传变异和临床表现相关。
我们纳入了 1348 名 IIM 患者,并确定了 14 种肌炎特异性或相关自身抗体的发生情况。我们使用无监督聚类分析来识别自身抗体定义的亚组,并使用逻辑回归来估计与临床表现、HLA-DRB1、HLA-DQA1、HLA-DQB1 等位基因以及从 HLA Ⅱ类和 I 类分子遗传信息推断的氨基酸之间的关联。
我们确定了八个具有以下主要自身抗体的亚组:抗 Ro52、-U1RNP、-PM/Scl、-Mi2、-Jo1、-Jo1/Ro52、-TIF1γ 或所有分析的自身抗体均为阴性。抗-U1RNP 主导的亚组中存在与 HLA-DRB1∗11、HLA-DRB1∗15、HLA-DQA1∗03 和 HLA-DQB1∗03 的关联。抗-PM/Scl 和抗-Jo1/Ro52 主导的亚组中 HLA-DRB1∗03、HLA-DQA1∗05 和 HLA-DQB1∗02 等位基因过度表达。抗-Mi2 中最常见的是 HLA-DRB1∗16 和 HLA-DRB1∗07 等位基因,而抗-TIF1γ 亚组中最常见的是 HLA-DRB1∗01 和 HLA-DRB1∗07 等位基因。在阴性亚组中 HLA-DRB1∗13、HLA-DQA1∗01 和 HLA-DQB1∗06 等位基因过度表达。在抗-Mi2、抗-Jo1/Ro52、抗-TIF1γ 和阴性亚组主导的亚组中检测到了来自 I 类分子变异的显著信号。
几乎所有自身抗体定义的亚组都观察到了独特的 HLA Ⅱ类和 I 类关联。这些关联支持使用自身抗体谱对 IIM 进行分类,这可能比基于临床症状和/或组织病理学特征的分类更好地反映潜在的发病机制。
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