人类疱疹病毒 6 和 Epstein-Barr 病毒在复发性缓解型多发性硬化症中的再激活:与残疾、疾病进展和炎症过程的关系。

Abbas F. Almulla, Aristo Vojdani, Yingqian Zhang, Elroy Vojdani, Michael F. Maes
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引用次数: 0

摘要

背景:多发性硬化症(MS)是一种影响中枢神经系统(CNS)的慢性自身免疫性疾病。在多发性硬化症中可观察到人类疱疹病毒 6(HHV-6)和天疱疮病毒(EBV)的再活化:本研究调查了 58 例复发缓解型多发性硬化症(RRMS)患者与 60 例健康对照组相比,针对 EBV 核抗原 EBNA-366-406、HHV-6 和 EBV 脱氧尿苷三磷酸酶(dUTPase)的免疫球蛋白(Ig)G、IgM 和 IgA 以及不同的免疫特征:我们采用酶联免疫吸附试验(ELISA)来测定病毒抗原的免疫球蛋白。采用多重免疫测定法测定细胞因子、趋化因子和生长因子的水平,然后计算免疫档案,包括 M1 巨噬细胞、T 辅助细胞 (Th)-1、Th-17 和整体免疫激活。我们使用扩展残疾状况量表(EDSS)评估残疾情况,并使用多发性硬化症严重程度评分(MSSS)评估疾病进展:结果:RRMS患者针对三种病毒抗原的IgG/IgA/IgM明显高于对照组。使用针对 HHV-6 dUTPase 的 IgG 和 IgM 可以明显区分 RRMS 和对照组,准确率为 91.5%(灵敏度=87.3%,特异性=95.2%)。神经网络分析表明,使用针对EBV-dUTPase的IgG、针对EBV-dUTPase的IgM和免疫图谱得出的ROC曲线下面积为1,预测准确率为97.1%。HHV-6和EBV-dUTPase的IgG/IgM反应与EDSS/MSSS评分以及M1、Th-17、特征和总体免疫激活异常之间存在密切联系:结论:HHV-6和EBV再激活在RRMS中起着关键作用,而这些作用是通过激活细胞因子谱介导的。
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Reactivation of Human Herpesvirus 6 and Epstein-Barr Virus in relapsing remitting multiple sclerosis: association with disabilities, disease progression, and inflammatory processes.
Background: Multiple sclerosis (MS) is a chronic autoimmune disorder affecting the central nervous system (CNS). Reactivation of Human herpesvirus 6 (HHV-6) and Epstein-Barr virus (EBV) is observed in MS. Objectives: This study investigates immunoglobulins (Ig)G, IgM, and IgA directed against EBV nuclear antigen EBNA-366-406, HHV-6 and EBV deoxyuridine- triphosphatase (dUTPase), and different immune profiles in 58 patients with relapsing remitting MS (RRMS) compared to 60 healthy controls. Methods: We employed enzyme-linked immunosorbent assays (ELISA) to measure the immunoglobulins to viral antigens. Multiplex immunoassays were used to measure cytokines, chemokines and growth factor levels that were used to compute immune profiles, including M1 macrophage, T helper (Th)-1, Th-17, and overall immune activation. We assessed disabilities using the Expanded Disability Status Scale (EDSS) and disease progression using the Multiple Sclerosis Severity Score (MSSS). Results: IgG/IgA/IgM directed to the three viral antigens were significantly higher in RRMS than in controls. RRMS was significantly discriminated from controls by using IgG and IgM against HHV-6 dUTPase, yielding an accuracy of 91.5% (sensitivity=87.3% and specificity=95.2%). Neural network analysis showed that using IgG to EBV- dUTPase, IgM to EBV-dUTPase, and immune profiles yielded an area under the ROC curve of 1 and a predictive accuracy of 97.1%. There were strong associations between IgG/IgM responses to HHV-6 and EBV-dUTPases and the EDSS/MSSS scores and aberrations in M1, Th-17, profiles, and overall immune activation. Conclusions: HHV-6 and EBV reactivation play a key role in RRMS and these effects are mediated by activation of cytokine profiles.
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