Vasculitis & polymyalgia rheumatica
NMR-based metabolomics in giant cell arteritis and polymyalgia rheumatica sequential sera differentiates active and inactive disease
Authors' conclusion
The NMR profile of serum metabolome could identify and propose sensitive biomarkers of inflammation.
Study context
- Population
- Patients with GCA and PMR sampled at 0 (active disease), 1 and 6 months (remission) of GC treatment110 serum samples
- Participants
- 50 patients
- Comparison
- Active disease vs remission during GC treatment
- GCAn = 33
- PMRn = 17
- Outcome
- Serum metabolome in active and inactive disease states
- Follow-up
- 0, 1 and 6 months
Methodological detailsNMR-based metabolomic analysis, sequential sera at three time points, multi- and univariate statistical analyses
- NMR-based metabolomic analysis
- Sequential sera at three time points
- Multi- and univariate statistical analyses
Main finding
As reported in the abstract
Serum metabolome, active vs remission
Altered levels of small molecules in active disease: increased phenylalanine; decreased glutamine, alanine and creatinine
4 of the 21
Original publication
NMR-based metabolomics in giant cell arteritis and polymyalgia rheumatica sequential sera differentiates active and inactive disease. Rheumatology (Oxford). Published 3 November 2023. doi:10.
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