Serum GFAP and NfL augment a metabolomics-driven strategy for long-term prediction of multiple sclerosis progression

Abstract Background Reliable biomarkers for predicting disease progression in multiple sclerosis (MS) are crucial for advancing precision medicine and optimising treatment strategies. This study evaluates the predictive potential of serum nuclear magnetic resonance (NMR)-based metabolomics, individu...

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Bibliographic Details

Main Authors:	Tereza Kacerova, Eline Willemse, Johanna Oechtering, Daniel E. Radford-Smith, Wenzheng Xiong, Megan Sealey, Luisa Saldana, Aleksandra Maleska Maceski, Tianrong Yeo, Gabriele DeLuca, Jacqueline Palace, David Leppert, Jens Kuhle, Daniel C. Anthony, Fay Probert
Format:	Artigo
Language:	Inglês
Published:	Nature Portfolio 2026-02-01
Series:	Communications Medicine
Online Access:	https://doi.org/10.1038/s43856-026-01453-5
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