Prognostic Biomarker Signature of Relapse in Neuromyelitis Optica Spectrum Disorders in the CIRCLES Observational Study.

IF 8 1区 医学 Q1 CLINICAL NEUROLOGY
Elea Bach, Alessandra Breschi, Yuliang Wang, Megan K Carroll, Wilman Luk, Andrew Han, Sarah Short, Peter Cimermančič, Katherine A Drake, Lawrence J Cook, Thomas Snyder, Terry J Smith, Michael R Yeaman, Charles C Kim
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Abstract

Background and objectives: Neuromyelitis optica spectrum disorders (NMOSDs) comprise rare autoimmune diseases of the CNS in which disabilities accrue with relapses. The ability to predict and prevent relapses could dramatically improve clinical outcomes, potentially reducing morbidity and quality-of-life declines. This proteomic study aimed to identify individual and composite candidate serum biomarkers predictive of NMOSD relapse.

Methods: Patients with NMOSD previously enrolled in the Collaborative International Research in Clinical and Longitudinal Experience Study (CIRCLES) cohort were selected based on documented relapses simultaneous with retrievable banked cryopreserved serum. Longitudinal serum proteomic profiles were characterized using high-resolution mass spectrometry. We used linear models with logistic regression, Cox proportional hazards models with fixed-time intervals, and time-dependent Cox proportional hazards models to analyze individual proteins and proteomic profiles for their association with future relapses factoring demographics, clinical phenotype/course, and treatments.

Results: We characterized a total of 305 longitudinally collected serum samples (N = 126), using high-resolution mass spectrometry, and identified 265 proteins overall. There was a 10-protein signature with the highest average association coefficient consistently across at least 4 of the 6 modeling analyses, including factor XI, surfactant protein B, C1RL, filamin A, cholesteryl ester transfer protein, cathelicidin antimicrobial peptide, C4A, transferrin receptor, for consistency immunoglobulin kappa constant, and serum amyloid A2 protein. This signature could significantly stratify patients with higher vs lower risk of subsequent relapse. These proteins differed in their increasing or decreasing abundance trajectories in advance of relapse. Most belong to pathways plausibly related to the immunopathology of NMOSD.

Discussion: Collectively, these findings provide a basis for novel biomarker development to predict NMOSD relapses sufficiently in advance to enable preventive treatment.

在CIRCLES观察性研究中,神经脊髓炎视谱障碍复发的预后生物标志物特征。
背景和目的:视神经脊髓炎谱系障碍(NMOSDs)是一种罕见的中枢神经系统自身免疫性疾病,其残疾随复发而增加。预测和预防复发的能力可以显著改善临床结果,潜在地减少发病率和生活质量的下降。这项蛋白质组学研究旨在确定预测NMOSD复发的单个和复合候选血清生物标志物。方法:先前在临床和纵向经验研究(CIRCLES)国际合作研究队列中登记的NMOSD患者是根据记录的复发同时可检索的银行冷冻保存血清选择的。采用高分辨率质谱分析纵向血清蛋白质组学特征。我们使用逻辑回归的线性模型、固定时间间隔的Cox比例风险模型和时间依赖的Cox比例风险模型来分析个体蛋白质和蛋白质组学特征与未来复发的关系,包括人口统计学、临床表型/病程和治疗。结果:我们利用高分辨率质谱技术对305份纵向采集的血清样本(N = 126)进行了鉴定,共鉴定出265种蛋白质。在6个建模分析中,至少有4个具有最高平均关联系数的10蛋白特征,包括因子XI、表面活性剂蛋白B、C1RL、丝胺素a、胆固醇酯转移蛋白、抗菌肽、C4A、转铁蛋白受体、一致性免疫球蛋白kappa常数和血清淀粉样蛋白A2蛋白。这一特征可以显著区分患者随后复发风险的高低。这些蛋白在复发前的增加或减少丰度轨迹不同。大多数属于可能与NMOSD的免疫病理相关的途径。讨论:总的来说,这些发现为开发新的生物标志物提供了基础,可以充分提前预测NMOSD的复发,从而实现预防性治疗。
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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来源期刊
CiteScore
15.60
自引率
2.30%
发文量
219
审稿时长
8 weeks
期刊介绍: Neurology Neuroimmunology & Neuroinflammation is an official journal of the American Academy of Neurology. Neurology: Neuroimmunology & Neuroinflammation will be the premier peer-reviewed journal in neuroimmunology and neuroinflammation. This journal publishes rigorously peer-reviewed open-access reports of original research and in-depth reviews of topics in neuroimmunology & neuroinflammation, affecting the full range of neurologic diseases including (but not limited to) Alzheimer's disease, Parkinson's disease, ALS, tauopathy, and stroke; multiple sclerosis and NMO; inflammatory peripheral nerve and muscle disease, Guillain-Barré and myasthenia gravis; nervous system infection; paraneoplastic syndromes, noninfectious encephalitides and other antibody-mediated disorders; and psychiatric and neurodevelopmental disorders. Clinical trials, instructive case reports, and small case series will also be featured.
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