Blood metabolomics improves prediction of central nervous system damage in multiple sclerosis
This study highlights the value of plasma metabolites as predictors of sNfL, sGFAP, and fatigue in MS. Our findings suggest that prioritizing metabolomics over other methods can lead to more accurate predictions of MS disease outcomes.
Authors
- Solenne Vigne (ORCID: https://orcid.org/0000-0002-8786-0198)
- Marie Théaudin (ORCID: https://orcid.org/0000-0002-3026-3595)
- Satchidananda Panda (ORCID: https://orcid.org/0000-0002-7855-0091)
- Nicholas Edward Phillips (ORCID: https://orcid.org/0000-0001-7629-9721)
- Jessica Rebeaud
- Jens Kühle (ORCID: https://orcid.org/0000-0002-6963-8892)
- Claire Bertelli (ORCID: https://orcid.org/0000-0003-0550-8981)
- Pansy Lim-Dubois-Ferriere
- Tinh‐Hai Collet (ORCID: https://orcid.org/0000-0002-3243-1222)
- Gilbert Greub (ORCID: https://orcid.org/0000-0001-9529-3317)
- Renaud Du Pasquier (ORCID: https://orcid.org/0000-0002-2786-3434)
- Caroline Pot (ORCID: https://orcid.org/0000-0002-1146-3129)
- Guillaume Thévoz
- Aude Gauthier-Jaques
- Sedreh Nassirnia
Institutions
- University of Geneva (CH)
- Salk Institute for Biological Studies (US)
- University of Basel (CH)
- Centre Hospitalier Universitaire Vaudois (CH)
- University Hospital of Basel (CH)
- University Hospital of Geneva (CH)
- Geneva College (US)
- University of Lausanne (CH)
Publication Details
- Journal
- Metabolomics
- Published
- 2025-08-12
- DOI
- https://doi.org/10.1007/s11306-025-02315-2
- Primary Topic
- Multiple Sclerosis Research Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Université de Lausanne