4.7 Article

The potential of serum neurofilament as biomarker for multiple sclerosis

期刊

BRAIN
卷 144, 期 -, 页码 2954-2963

出版社

OXFORD UNIV PRESS
DOI: 10.1093/brain/awab241

关键词

biomarkers; neurofilament; prognosis; therapy response; multiple sclerosis

资金

  1. German Research Council (DFG) [CRC-TR-128]
  2. Hertie-Stiftung (myLab)
  3. Progressive Multiple Sclerosis Alliance (PMSA) [BRAVEinMS PA1604-08492]
  4. German Federal Ministry of Education and Research (BMBF)

向作者/读者索取更多资源

Blood-based serum neurofilament light chain (sNfL) is being investigated as a biomarker for prognosis and treatment response in multiple sclerosis patients. It reflects ongoing inflammatory-driven neuroaxonal damage and has the potential to guide individualized clinical decision-making.
Multiple sclerosis is a highly heterogeneous disease, and the detection of neuroaxonal damage as well as its quantification is a critical step for patients. Blood-based serum neurofilament light chain (sNfL) is currently under close investigation as an easily accessible biomarker of prognosis and treatment response in patients with multiple sclerosis. There is abundant evidence that sNfL levels reflect ongoing inflammatory-driven neuroaxonal damage (e.g. relapses or MRI disease activity) and that sNfL levels predict disease activity over the next few years. In contrast, the association of sNfL with long-term clinical outcomes or its ability to reflect slow, diffuse neurodegenerative damage in multiple sclerosis is less clear. However, early results from real-world cohorts and clinical trials using sNfL as a marker of treatment response in multiple sclerosis are encouraging. Importantly, clinical algorithms should now be developed that incorporate the routine use of sNfL to guide individualized clinical decision-making in people with multiple sclerosis, together with additional fluid biomarkers and clinical and MRI measures. Here, we propose specific clinical scenarios where implementing sNfL measures may be of utility, including, among others: initial diagnosis, first treatment choice, surveillance of subclinical disease activity and guidance of therapy selection.

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