Serum metabolomics identifies unique inflammatory signatures to distinguish rheumatoid arthritis responders and non-responders to TNF inhibitor therapy
We propose that NMR and FTIR serum metabolomics could be used as a diagnostic tool alongside current clinical parameters to diagnose RA and to predict whether someone with severe RA will respond to TNF-i.
Authors
- Marie M. Phelan (ORCID: https://orcid.org/0000-0002-0708-2964)
- Rudi Grosman (ORCID: https://orcid.org/0000-0002-0233-7112)
- Michele Fresneda Alarcon (ORCID: https://orcid.org/0000-0002-3566-9244)
- Royston Goodacre (ORCID: https://orcid.org/0000-0003-2230-645X)
- Yun Xu (ORCID: https://orcid.org/0000-0003-3228-5111)
- Cássio Lima (ORCID: https://orcid.org/0000-0002-9062-6298)
- Helen L. Wright (ORCID: https://orcid.org/0000-0003-0442-3134)
- Stephen M. Ford
Institutions
- University of Liverpool (GB)
Publication Details
- Journal
- Metabolomics
- Published
- 2025-08-12
- DOI
- https://doi.org/10.1007/s11306-025-02310-7
- Citations
- 1
- Primary Topic
- Metabolomics and Mass Spectrometry Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.81
Funders
- Medical Research Council