多发性硬化症的CSF生物标志物:超越神经炎症

Simona Toscano, F. Patti
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引用次数: 15

摘要

多年来,神经系统疾病中可量化的生物标志物一直是一个热门话题。在多发性硬化症(MS)中,自1983年引入Poser标准以来,脑脊液生物标志物一直发挥着诊断作用,IgG寡克隆带在磁共振成像之前的时代发挥着支持作用,在2001年引入McDonald标准之后起到了补充作用。如今,根据2017年修订的McDonald标准,这种支持作用已转变为主要作用,取代了及时传播,并定义了首次临床事件患者的MS诊断。可能不含κ的轻链、N-CAM、几丁质酶3样蛋白1和IgM寡克隆带,尚未在临床实践中实施,在不久的将来也可能获得类似的重要性。此外,对导致慢性炎症的分子机制的了解不断增加,增强了人们对寻找疾病活性生物标志物的兴趣,更好地定义MS表型和高活性疾病患者。因此,髓鞘蛋白、中间丝、金属蛋白酶和其他参与炎症级联反应的分子目前正在研究中。最后,人们早就知道轴突丢失发生在早期阶段,导致神经系统进行性恶化。由于评估治疗失败和向进展型过渡的既定标准仍然缺乏,治疗反应和预后生物标志物都有助于预测多发性硬化症的病程,神经丝似乎具有这种潜力。这篇综述文章的目的是说明已经验证或在证明对探索性研究有用后需要进一步验证的生物标志物,并可能在未来几年的临床实践中证明有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CSF biomarkers in multiple sclerosis: beyond neuroinflammation
For many years, quantifiable biomarkers in neurological diseases have represented a hot topic. In multiple sclerosis (MS), cerebrospinal fluid biomarkers have played a diagnostic role since the introduction of Poser’s criteria in 1983, with IgG oligoclonal bands playing a supporting role in an epoch prior to magnetic resonance imaging and a complementary one after the introduction of McDonald criteria in 2001. Nowadays, that supporting role has turned into a main one in substituting for dissemination in time and defining the diagnosis of MS in patients with a first clinical event, according to the 2017 revised McDonald criteria. Possibly kappa free light chains, N-CAM, chitinase 3-like protein 1 and IgM oligoclonal bands, not yet implemented in clinical practice, could similarly gain importance in the near future. Furthermore, the increasing knowledge of molecular mechanisms leading to chronic inflammation has enhanced interest in looking for biomarkers of disease activity, better defining the MS phenotype and patients with highly active disease. Accordingly, myelin proteins, intermediate filaments, metalloproteinases and other molecules involved in the inflammatory cascade, are currently under investigation. Finally, it has long been known that axonal loss occurs from the early phases, leading to a progressive neurological deterioration. Since established criteria to assess treatment failure and transition to progressive forms are still lacking, both treatment response and prognostic biomarkers would be useful to predict MS course, and neurofilaments seem to have this potential. The purpose of this review article was to illustrate biomarkers that have been already validated or require further validation after proving to be useful in exploratory studies and potentially could prove useful in clinical practice in the coming years.
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