Lupus & antiphospholipid syndrome
Unveiling Endotypes in Systemic Lupus Erythematosus Through Multiomic Analysis: Insights Into Cardiovascular and Renal Complications
Authors' conclusion
Multiomic profiling delineates molecular endotypes in SLE, integrating immune, vascular, and metabolic pathways associated with CV risk and LN, supporting their potential for precision risk stratification.
Study context
- Population
- Patients with systemic lupus erythematosus (SLE); serum proteomics and NMR metabolomics
- Participants
- 199 patients
- Exposure
- Proteomic cluster 1 vs cluster 2
- Outcome
- Proteomic clustering: cluster 1 vs cluster 2 clinical features
Methodological detailsunsupervised clustering, integrative multiomic factor analysis, machine learning, external validation cohorts, in vitro and ex vivo mechanistic models
- Unsupervised clustering
- Integrative multiomic factor analysis
- Machine learning
- External validation cohorts
- In vitro and ex vivo mechanistic models
Main finding
As reported in the abstract
- Lupus nephritis (LN) rate, cluster 1 vs cluster 2
- 1.8-fold
- Hypertension, cluster 1 vs cluster 2
- 3-fold
- Dyslipidemia, cluster 1 vs cluster 2
- 2-fold
- Obesity, cluster 1 vs cluster 2
- 8-fold
- Abnormal CRP/ESR, cluster 1 vs cluster 2
- 4-fold
- Inflammatory and organ-damage proteins increased in cluster 1
- 47
Observational data: associations, not effects.
Further findings
Neural network (metabolites + clinical variables) discriminating clusters
- AUC
- 0.77
- Key features: citrate and lipoproteins
Multiomic analyses and external cohorts
- Confirmed reproducibility and enrichment in leukocyte trafficking, endothelial stress and nephritis pathways
Mechanistic: SLE serum exposure
- SLE serum induced NF-κB activation in rat kidneys vs controls
Original publication
Unveiling Endotypes in Systemic Lupus Erythematosus Through Multiomic Analysis: Insights Into Cardiovascular and Renal Complications. Arthritis Rheumatol. Published 20 April 2026. doi:10.
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