From the Department of Neurology (A.H.O., C.Z., B.M.-S., M.L.F., B.R., R.J.N., K.C.O'C.), Yale School of Medicine, New Haven, CT; Department of Immunobiology (A.H.O., C.Z., M.L.F., W.M.P., K.C.O'C.), Yale School of Medicine, New Haven, CT; Institute of Biomedical Studies (A.H.O.), Baylor University, Waco, TX; UCB Pharma (D.D.V.), Cambridge, MA; and Departments of Neurology and Ophthalmology (J.L.B.), Programs in Neuroscience and Immunology, University of Colorado Anschutz Medical Campus, Aurora.
Neurol Neuroimmunol Neuroinflamm. 2022 Apr 26;9(4). doi: 10.1212/NXI.0000000000001169. Print 2022 Jul.
BACKGROUND AND OBJECTIVES: Autoantibodies targeting the acetylcholine receptor (AChR), found in patients with myasthenia gravis (MG), mediate pathology through 3 mechanisms: complement-directed tissue damage, blocking of the acetylcholine binding site, and internalization of the AChR. Clinical assays, used to diagnose and monitor patients, measure only autoantibody binding. Consequently, they are limited in providing association with disease burden, understanding of mechanistic heterogeneity, and monitoring therapeutic response. The objective of this study was to develop a cell-based assay that measures AChR autoantibody-mediated complement membrane attack complex (MAC) formation. METHODS: An HEK293T cell line-modified using CRISPR/Cas9 genome editing to disrupt expression of the complement regulator genes (CD46, CD55, and CD59)-was used to measure AChR autoantibody-mediated MAC formation through flow cytometry. RESULTS: Serum samples (n = 155) from 96 clinically confirmed AChR MG patients, representing a wide range of disease burden and autoantibody titer, were tested along with 32 healthy donor (HD) samples. AChR autoantibodies were detected in 139 of the 155 (89.7%) MG samples through a cell-based assay. Of the 139 AChR-positive samples, autoantibody-mediated MAC formation was detected in 83 (59.7%), whereas MAC formation was undetectable in the HD group or AChR-positive samples with low autoantibody levels. MAC formation was positively associated with autoantibody binding in most patient samples; ratios (mean fluorescence intensity) of MAC formation to AChR autoantibody binding ranged between 0.27 and 48, with a median of 0.79 and an interquartile range of 0.43 (0.58-1.1). However, the distribution of ratios was asymmetric and included extreme values; 16 samples were beyond the 10-90 percentile, with high MAC to low AChR autoantibody binding ratio or the reverse. Correlation between MAC formation and clinical disease scores suggested a modest positive association (rho = 0.34, = 0.0023), which included a subset of outliers that did not follow this pattern. MAC formation did not associate with exposure to immunotherapy, thymectomy, or MG subtypes defined by age-of-onset. DISCUSSION: A novel assay for evaluating AChR autoantibody-mediated complement activity was developed. A subset of patients that lacks association between MAC formation and autoantibody binding or disease burden was identified. The assay may provide a better understanding of the heterogeneous autoantibody molecular pathology and identify patients expected to benefit from complement inhibitor therapy.
背景与目的:针对乙酰胆碱受体(AChR)的自身抗体存在于重症肌无力(MG)患者中,通过 3 种机制介导病理学:补体导向的组织损伤、乙酰胆碱结合位点阻断和 AChR 内化。用于诊断和监测患者的临床检测仅测量自身抗体结合。因此,它们在与疾病负担相关、理解机制异质性和监测治疗反应方面存在局限性。本研究的目的是开发一种基于细胞的测定方法,用于测量 AChR 自身抗体介导的补体膜攻击复合物(MAC)形成。 方法:使用 CRISPR/Cas9 基因组编辑技术修饰 HEK293T 细胞系,破坏补体调节剂基因(CD46、CD55 和 CD59)的表达,通过流式细胞术测量 AChR 自身抗体介导的 MAC 形成。 结果:对来自 96 例临床确诊的 AChR MG 患者的 155 份血清样本(代表广泛的疾病负担和自身抗体滴度)以及 32 份健康供体(HD)样本进行了检测。通过基于细胞的测定方法,在 155 份 MG 样本中的 139 份(89.7%)中检测到 AChR 自身抗体。在 139 份 AChR 阳性样本中,在 83 份(59.7%)中检测到自身抗体介导的 MAC 形成,而在 HD 组或自身抗体水平低的 AChR 阳性样本中未检测到 MAC 形成。MAC 形成与大多数患者样本中的自身抗体结合呈正相关;MAC 形成与 AChR 自身抗体结合的比值(平均荧光强度)范围在 0.27 到 48 之间,中位数为 0.79,四分位距为 0.43(0.58-1.1)。然而,比值的分布不对称,包括极值;16 个样本超过了 10-90 百分位数,具有高 MAC 与低 AChR 自身抗体结合的比值或相反。MAC 形成与临床疾病评分之间的相关性表明存在适度的正相关(rho = 0.34,p = 0.0023),其中包括一组不符合此模式的异常值。MAC 形成与免疫治疗、胸腺切除术或按发病年龄定义的 MG 亚型无关。 讨论:开发了一种评估 AChR 自身抗体介导的补体活性的新测定方法。确定了一组缺乏 MAC 形成与自身抗体结合或疾病负担相关的患者。该测定方法可能提供对异质性自身抗体分子病理学的更好理解,并识别预期从补体抑制剂治疗中受益的患者。
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