Department of Neuroscience, Biomedicine and Movement Science, University of Verona, 37134 Verona, Italy.
Department of Brain Sciences, Department of Medicine, Imperial College London, London W12 0NN, UK.
Cells. 2021 Jul 6;10(7):1712. doi: 10.3390/cells10071712.
An imbalance of TNF signalling in the inflammatory milieu generated by meningeal immune cell infiltrates in the subarachnoid space in multiple sclerosis (MS), and its animal model may lead to increased cortical pathology. In order to explore whether this feature may be present from the early stages of MS and may be associated with the clinical outcome, the protein levels of TNF, sTNF-R1 and sTNF-R2 were assayed in CSF collected from 122 treatment-naïve MS patients and 36 subjects with other neurological conditions at diagnosis. Potential correlations with other CSF cytokines/chemokines and with clinical and imaging parameters at diagnosis (T0) and after 2 years of follow-up (T24) were evaluated. Significantly increased levels of TNF (fold change: 7.739; < 0.001), sTNF-R1 (fold change: 1.693; < 0.001) and sTNF-R2 (fold change: 2.189; < 0.001) were detected in CSF of MS patients compared to the control group at T0. Increased TNF levels in CSF were significantly ( < 0.01) associated with increased EDSS change (r = 0.43), relapses (r = 0.48) and the appearance of white matter lesions (r = 0.49). CSF levels of TNFR1 were associated with cortical lesion volume (r = 0.41) at T0, as well as with new cortical lesions (r = 0.56), whilst no correlation could be found between TNFR2 levels in CSF and clinical or MRI features. Combined correlation and pathway analysis (ingenuity) of the CSF protein pattern associated with TNF expression (encompassing elevated levels of BAFF, IFN-γ, IL-1β, IL-10, IL-8, IL-16, CCL21, haptoglobin and fibrinogen) showed a particular relationship to the interaction between innate and adaptive immune response. The CSF sTNF-R1-associated pattern (encompassing high levels of CXCL13, TWEAK, LIGHT, IL-35, osteopontin, pentraxin-3, sCD163 and chitinase-3-L1) was mainly related to altered T cell and B cell signalling. Finally, the CSF TNFR2-associated pattern (encompassing high CSF levels of IFN-β, IFN-λ2, sIL-6Rα) was linked to Th cell differentiation and regulatory cytokine signalling. In conclusion, dysregulation of TNF and TNF-R1/2 pathways associates with specific clinical/MRI profiles and can be identified at a very early stage in MS patients, at the time of diagnosis, contributing to the prediction of the disease outcome.
在多发性硬化症(MS)患者的蛛网膜下腔脑膜免疫细胞浸润引起的炎症环境中,TNF 信号转导失衡,以及其动物模型可能导致皮质病变增加。为了探讨这种特征是否可能从 MS 的早期阶段存在,并可能与临床结果相关,在诊断时,对 122 名未经治疗的 MS 患者和 36 名其他神经状况患者的 CSF 中 TNF、sTNF-R1 和 sTNF-R2 的蛋白水平进行了检测。评估了与其他 CSF 细胞因子/趋化因子以及与诊断时(T0)和 2 年随访时(T24)的临床和影像学参数的潜在相关性。与对照组相比,MS 患者的 CSF 中 TNF(倍数变化:7.739; < 0.001)、sTNF-R1(倍数变化:1.693; < 0.001)和 sTNF-R2(倍数变化:2.189; < 0.001)水平显著升高。CSF 中 TNF 水平的增加与 EDSS 变化(r = 0.43)、复发(r = 0.48)和白质病变的出现(r = 0.49)显著相关( < 0.01)。CSF 中 TNFR1 水平与 T0 时皮质病变体积(r = 0.41)以及新皮质病变(r = 0.56)相关,而在 CSF 中 TNFR2 水平与临床或 MRI 特征之间未发现相关性。与 TNF 表达相关的 CSF 蛋白模式的综合相关性和通路分析(Ingenuity)(包括 BAFF、IFN-γ、IL-1β、IL-10、IL-8、IL-16、CCL21、触珠蛋白和纤维蛋白原的水平升高)显示与先天免疫和适应性免疫反应之间的相互作用有特殊关系。CSF sTNF-R1 相关模式(包括 CXCL13、TWEAK、LIGHT、IL-35、骨桥蛋白、Pentraxin-3、sCD163 和几丁质酶-3-L1 的高水平)主要与 T 细胞和 B 细胞信号转导的改变有关。最后,CSF TNFR2 相关模式(包括 IFN-β、IFN-λ2、sIL-6Rα 的高水平)与 Th 细胞分化和调节细胞因子信号转导有关。总之,TNF 和 TNF-R1/2 途径的失调与特定的临床/MRI 特征相关,并且可以在 MS 患者的早期诊断时确定,有助于预测疾病结局。