Metabolomic profiles underlying gout flares: a prospective study of people with gout
Authors' conclusion
Metabolic reprogramming differentiates between the acute and intercritical stages of gout, and implicated metabolites may serve as biomarkers for future gout flares.
Study context
- Population
- Participants with gout, sequentially enrolled
- Exposure
- Acute vs intercritical gout; recurrent flare vs no flare over 1 year
- Outcome
- Metabolomic profiles associated with gout flares; risk of incident flare
- Follow-up
- 1 year
Methodological detailscross-sectional and longitudinal analysis, untargeted liquid chromatography-mass spectrometry, LASSO-Cox regression and time-ROC, machine learning models, independent validation cohort with quantitative targeted metabolomics
- Cross-sectional and longitudinal analysis
- Untargeted liquid chromatography-mass spectrometry
- LASSO-Cox regression and time-ROC
- Machine learning models
- Independent validation cohort with quantitative targeted metabolomics
Main finding
As reported in the abstract
Discrimination of gout flare risk by metabolic risk score (six least absolute shrinkage and selection operator (LASSO)-derived metabolites, incl. 5-methoxytryptamine)
AUC, 95% CI 0.74 to 0.90
0.82
Observational data: associations, not effects.
Further findings
Machine learning models, acute vs intercritical
- AUC
- 0.828
Machine learning prediction of recurrent flare, combined metabolites and clinical measurements
- AUC
- 0.807-0.867
Original publication
Metabolomic profiles underlying gout flares: a prospective study of people with gout. RMD Open. Published 8 May 2025. doi:10.
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