Predicting progression in MS (NMR data)

Oxford University Research Archive (ORA) (University of Oxford) 2026 Dataset Open access

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Authors: Daniel E. Radford‐Smith, Johanna Oechtering, Eline AJ Willemse, Daniel C. Anthony, David Leppert, Luisa Saldana, Wenzheng Xiong, Megan A. Sealey, Fay Probert, Tianrong Yeo, De Luca Gabriele, Jacqueline A. Palace
+3 more Jens Kühle, Aleksandra Maleska Maceski, Tereza Kačerová
DOI: 10.5287/ora-xo5mbmxo1
Cited by: 0

Abstract

This dataset contains serum 1H NMR metabolomics profiles generated to support the study “Serum GFAP and NfL Augment a Metabolomics-Driven Strategy for Long-Term Prediction of Multiple Sclerosis Progression.” Serum samples were acquired from individuals with multiple sclerosis and analysed using standardised NMR spectroscopy protocols. The data include processed spectral features and quantified metabolites used for multivariate modelling and longitudinal prediction of disease progression.

Fields of Study & Subjects

Multiple Sclerosis Research Studies Metabolomics and Mass Spectrometry Studies Advanced MRI Techniques and Applications

Publication details

Journal / source
Oxford University Research Archive (ORA) (University of Oxford)
Publication date
1 January 2026
Language
EN
Document type
Dataset