Complementary role of transcriptomic endotyping and protein-based biomarkers for risk stratification in sepsis-associated acute kidney injury.
Summary
In 167 septic ICU patients, transcriptomic endotypes (IE, AE, CE) exhibited distinct biology and risks. Non-functional biomarkers mapped to endotypes (NGAL/suPAR high in IE; bio-ADM strongest in CE). Combining endotyping with bio-ADM or suPAR improved prediction of KRT/death (AUC 0.80) and 7-day mortality (AUC 0.85).
Key Findings
- Endotype distribution: IE 33%, AE 42%, CE 24%.
- Primary endpoint (KRT or death): IE 30% vs AE 17% vs CE 10%.
- NGAL and suPAR were disproportionately elevated in IE, independent of AKI severity.
- Bio-ADM was the strongest predictor of outcomes in CE.
- Endotyping + bio-ADM achieved AUC 0.80 (KRT/death); endotyping + suPAR achieved AUC 0.85 (7-day mortality).
Clinical Implications
Consider integrating endotyping and biomarkers (bio-ADM, suPAR, NGAL) to stratify SA-AKI risk: prioritize endothelial-targeted strategies for CE and immune-modulating strategies for IE; allocate monitoring and resources accordingly.
Why It Matters
This provides an actionable precision framework linking molecular endotypes to specific biomarkers for SA-AKI risk, enabling trial enrichment and tailoring of monitoring or therapies.
Limitations
- Secondary analysis with modest sample size (n=167) and no external validation
- Observational; clinical utility and treatment guidance not prospectively tested
Future Directions
External validation across centers; endotype-adaptive interventional trials targeting endothelial dysfunction or innate immune dysregulation.
Study Information
- Study Type
- Cohort
- Research Domain
- Prognosis
- Evidence Level
- II - Prospective-trial–based secondary analysis using validated classifiers and biomarker profiling.
- Study Design
- OTHER