首页> 外文期刊>Proceedings of the National Academy of Sciences of the United States of America >Antigen Microarrays Identify Unique Serum Autoantibody Signatures In Clinical And Pathologic Subtypes Of Multiple Sclerosis
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Antigen Microarrays Identify Unique Serum Autoantibody Signatures In Clinical And Pathologic Subtypes Of Multiple Sclerosis

机译:抗原微阵列识别多发性硬化症的临床和病理亚型中独特的血清自身抗体特征

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Multiple sclerosis (MS) is a chronic relapsing disease of the central nervous system (CNS) in which immune processes are believed to play a major role. To date, there is no reliable method by which to characterize the immune processes and their changes associated with different forms of MS and disease progression. We performed antigen microarray analysis to characterize patterns of antibody reactivity in MS serum against a panel of CNS protein and lipid autoantigens and heat shock proteins. Informatic analysis consisted of a training set that was validated on a blinded test set. The results were further validated on an independent cohort of relaps-ing-remitting (RRMS) samples. We found unique autoantibody patterns that distinguished RRMS, secondary progressive (SPMS), and primary progressive (PPMS) MS from both healthy controls and other neurologic or autoimmune driven diseases including Alzheimer's disease, adrenoleukodystropy, and lupus erythematosus. RRMS was characterized by autoantibodies to heat shock proteins that were not observed in PPMS or SPMS. In addition, RRMS, SPMS, and PPMS were characterized by unique patterns of reactivity to CNS antigens. Furthermore, we examined sera from patients with different immunopathologic patterns of MS as determined by brain biopsy, and we identified unique antibody patterns to lipids and CNS-derived peptides that were linked to each type of pathology. The demonstration of unique serum immune signatures linked to different stages and pathologic processes in MS provides an avenue to monitor MS and to characterize immunopathogenic mechanisms and therapeutic targets in the disease.
机译:多发性硬化症(MS)是中枢神经系统(CNS)的慢性复发性疾病,在该疾病中,免疫过程被认为起主要作用。迄今为止,还没有可靠的方法来表征免疫过程及其与不同形式的MS和疾病进展相关的变化。我们进行了抗原微阵列分析,以表征MS血清中针对一组CNS蛋白,脂质自身抗原和热休克蛋白的抗体反应性模式。信息分析包括一个训练集,该训练集在一个盲目的测试集中进行了验证。结果在一个独立的复发-释放(RRMS)样本队列中得到了进一步验证。我们发现独特的自身抗体模式将RRMS,继发性进行性(SPMS)和原发性进行性(PPMS)MS与健康对照和其他神经系统疾病或自身免疫驱动性疾病(包括阿尔茨海默氏病,肾上腺皮质营养不良和红斑狼疮)区分开来。 RRMS的特征是针对热激蛋白的自身抗体,而PPMS或SPMS中未发现这种抗体。此外,RRMS,SPMS和PPMS还具有与CNS抗原反应的独特模式。此外,我们检查了脑活检所确定的具有不同MS免疫病理模式的患者的血清,并鉴定了与每种病理类型相关的脂质和CNS衍生肽的独特抗体模式。与MS的不同阶段和病理过程相关的独特血清免疫特征的证明为监测MS以及表征疾病的免疫致病机制和治疗靶标提供了途径。

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