News Release

Key biomarkers identified for predicting disability progression in multiple sclerosis

A pioneering study presented today at ECTRIMS 2024 has identified critical biomarkers that can predict disability worsening in multiple sclerosis

Reports and Proceedings

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A pioneering study presented today at ECTRIMS 2024 has identified critical biomarkers that can predict disability worsening in multiple sclerosis (MS). The breakthrough research has the potential to transform treatment strategies for millions of MS patients worldwide, paving the way for more personalised and effective treatment plans.1

In this multicentre observational study, conducted across 13 hospitals in Spain and Italy, Dr. Enric Monreal and his team found that elevated serum neurofilament light chain (sNfL) levels—a protein indicating nerve cell damage—at the onset of MS can predict both relapse-associated worsening (RAW) and progression independent of relapse activity (PIRA).* Additionally, serum glial fibrillary acidic protein (sGFAP) levels—a protein derived from astrocytes that enters the bloodstream when the central nervous system (CNS) is injured or inflamed—correlate with  PIRA in patients with low levels of sNfL.

The study analysed blood samples from 725 MS patients collected within 12 months of disease onset. Using the Single Molecule Array (SIMOA) technique, researchers assessed the prognostic value of sNfL and sGFAP levels to predict RAW and PIRA.

Key findings reveal that higher sNfL levels, indicative of acute inflammation within the CNS in MS, are associated with a 45% increased risk of RAW and a 43% increased risk of PIRA. Patients with high sNfL levels often did not respond well to standard disease-modifying treatments (DMTs) but showed significant benefits from high-efficacy DMTs (HE-DMTs) such as Natalizumab, Alemtuzumab, Ocrelizumab, Rituximab, and Ofatumumab.

In contrast, patients with high sGFAP levels—which is an indicator of more localised inflammation driven by microglia in the CNS—and low sNfL levels experienced an 86% increased risk of PIRA. This group did not respond to current DMTs.

Interestingly, while sGFAP is known to be associated with progression,2 high sNfL levels limited the ability of sGFAP to predict this outcome. Specifically, sGFAP values were predictive of PIRA only in patients with low sNfL levels.

“The identification of sNfL and sGFAP as predictive biomarkers allows us to tailor treatment strategies for MS patients more effectively,” says Dr. Monreal, researcher in MS at Ramón y Cajal University Hospital and first author of the study. “Patients with low levels of both biomarkers had a good prognosis and could be treated with injectable or oral DMTs. However, high sNfL levels indicate a need for HE-DMTs to prevent disability worsening, while patients with high sGFAP levels and low values of sNfL may require new therapeutic approaches. These distinct pathways in MS have significant therapeutic implications, as current DMTs primarily target the peripheral adaptive immune system without affecting CNS immunity. Therefore, identifying patients with higher levels of peripheral inflammation is crucial for preventing disability and improving patient outcomes."

“The results of this study underscore the critical need for personalised treatment approaches to effectively manage the millions of people affected by MS worldwide, many of whom have chronic disability that significantly impacts their quality of life,” says Dr. Monreal.

“By measuring both sNfL and sGFAP levels at disease onset, we gain valuable insights into the progression pathways of MS, enabling clinicians to identify the optimal patients for specific DMTs. This approach aims to prevent disability while avoiding unnecessary treatment-related risks for those at lower risk."

ENDS

Notes to Editors

A reference to ECTRIMS 2024 must be included in all coverage and/or articles associated with this study.

For more information or to arrange an expert interview, please contact the ECTRIMS Press Office at: press.ectrims@congrex.com

About the study author:

Dr. Enric Monreal is a leading researcher in MS at Hospital Universitario Ramón y Cajal and Instituto Ramón y Cajal de Investigación Sanitaria, with a research focus on advancing precision medicine through diagnostic and prognostic biomarkers. He trained at the University of Alcalá and Ramón y Cajal University Hospital, where he completed his neurology residency and earned a PhD focused on CSF and serum biomarkers in multiple sclerosis. He has over 40 publications in high-impact journals and numerous awards.

About the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS):

ECTRIMS is a non-profit organisation and an independent representative European-wide organisation devoted to MS. It serves as Europe’s and the world’s largest professional organisation dedicated to the understanding and treatment of MS.

The 40th ECTRIMS Congress takes place between 18-20 September 2024 in Copenhagen, Denmark.

Website: https://ectrims.eu/

Key terms defined:

*Patients with MS acquire disability through two primary mechanisms: 1) A stepwise increase in impairment resulting from incomplete recovery after a relapse, known as relapse-associated worsening (RAW), and 2) a gradual progression of disability that occurs independently of any relapse activity, referred to as progression independent of relapse activity (PIRA).3

References:

  1. Serum neurofilament light chain and glial fibrillary acidic protein levels at disease onset unveil immunologic pathways of disability acquisition in multiple sclerosis, Monreal E., et al. (2024). Presented at ECTRIMS 2024.
  2. Meier S., Willemse E.A., Schaedelin S., et al. (2023) Serum Glial Fibrillary Acidic Protein Compared with Neurofilament Light Chain as a Biomarker for Disease Progression in Multiple Sclerosis. JAMA Neurol.;80(3):287–297. doi:10.1001/jamaneurol.2022.5250
  3. Lublin, F. D., Häring, D. A., Ganjgahi, H., et al. (2022). How patients with multiple sclerosis acquire disability. Brain: A  Journal of Neurology145(9), 3147–3161. https://doi.org/10.1093/brain/awac016

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