Autoantibodies towards HFE and SYT5 in anti-neutrophil cytoplasm antibody-associated vasculitis relapse

Shaghayegh Bayati, Jamsheela Nazer, James Ng, Michael Hayes, Mark A Little, Peter Nilsson, Elisa Pin
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Abstract

Objective: Identification of those at high and low risk of disease relapse is a major unmet need in the management of patients with ANCA-associated vasculitis (AAV). Precise stratification would allow tailoring of immunosuppressive medication. We profiled the autoantibody repertoire of AAV patients in remission to identify novel autoantibodies associated with relapse risk. Methods: Plasma samples collected from AAV patients in remission were screened for novel autoantibodies using in-house generated protein arrays including 42,000 protein fragments representing 18,000 unique human proteins. Patients were categorized based on the occurrence and frequency of relapses. We modelled the association between these antibodies and relapse occurrence using descriptive and high dimensional regression approaches. Results: We observed nine autoantibodies at higher frequency in samples from AAV patients experiencing multiple relapses compared to patients in long-term remission off therapy (LTROT). LASSO analysis identified six autoantibodies that exhibited an association with relapse occurrence after sample collection. Antibodies targeting HFE and SYT5 were identified as associated with relapse in both analyses. Conclusion: Through a broad protein array-based autoantibody screening, we identified two novel autoantibodies as candidate biomarkers of relapse in AAV.
抗中性粒细胞胞浆抗体相关性血管炎复发中的HFE和SYT5自身抗体
目的:在 ANCA 相关性血管炎(AAV)患者的治疗过程中,识别疾病复发的高危人群和低危人群是一项尚未满足的重大需求。精确的分层将有助于定制免疫抑制药物。我们对缓解期AAV患者的自身抗体库进行了分析,以确定与复发风险相关的新型自身抗体。研究方法利用内部生成的蛋白质阵列(包括代表 18,000 种独特人类蛋白质的 42,000 个蛋白质片段)对从缓解期 AAV 患者处采集的血浆样本进行新型自身抗体筛查。根据复发的发生率和频率对患者进行分类。我们使用描述性和高维回归方法模拟了这些抗体与复发发生率之间的关联。结果显示与长期缓解治疗(LTROT)患者相比,我们在多次复发的 AAV 患者样本中观察到九种频率较高的自身抗体。LASSO分析确定了六种自身抗体与样本采集后的复发率有关。在这两项分析中,均发现针对 HFE 和 SYT5 的抗体与复发有关。结论:通过基于广泛蛋白质阵列的自身抗体筛选,我们发现了两种新型自身抗体作为AAV复发的候选生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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