Lipid metabolomic signature might predict subclinical atherosclerosis in patients with active rheumatoid arthritis
Authors' conclusion
With 1H-NMR-based lipid/metabolomics, distinct profiling of lipid metabolites was identified between RA patients and HC or between RA patients with and without SA.
Study context
- Population
- Rheumatoid arthritis (RA) patients and healthy controls; Subclinical atherosclerosis (SA) defined as carotid plaques on US
- Participants
- 65 vs 12
- Exposure
- RA patients with vs without subclinical atherosclerosis; RA patients vs healthy controls
- RAn = 65
- Healthy controls (HCs)n = 12reference
- Outcome
- Lipid/metabolomic profiling and prediction score model for subclinical atherosclerosis (carotid plaques on US) in RA
Methodological details1H-NMR-based lipid/metabolomics, Lasso logistic regression
- 1H-NMR-based lipid/metabolomics
- Lasso logistic regression
Main finding
As reported in the abstract
Prediction score for SA in RA (age, creatinine, HDL_L, glycolysis-related measures; Lasso logistic regression)
AUC
0.90
Sensitivity
83.3%
Specificity
87.2%
Observational data: associations, not effects.
Further findings
RA vs HC metabolites
- RA had significantly higher phenylalanine and glycoprotein acetyls (GlycA) and lower leucine and isoleucine than HC
Metabolite change with decreasing DAS28 (subgroup)
- Phenylalanine significantly decreased, HDL_L and HDL_Particle significantly increased, paralleling DAS28 decrease
- 20 RA patients
Original publication
Lipid metabolomic signature might predict subclinical atherosclerosis in patients with active rheumatoid arthritis. Clin Exp Rheumatol. Published 31 May 2022. doi:10.
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