Plasma proteomics identifies molecular subtypes in sepsis
Authors' conclusion
The identified plasma proteome subtypes provide insights into the immune response and disease mechanisms and allow conclusions on appropriate therapeutic measures, enabling predictive enrichment in clinical trials.
Study context
- Population
- Patients with sepsis, plasma sampled at days 1 and 4
- Participants
- 333 patients
- Exposure
- Cluster 0 vs Cluster 1 vs Cluster 2 vs Cluster 3
- Outcome
- Plasma proteome subtypes
Methodological detailsplasma proteomics subtyping, multi-center, K-means clustering, random forest machine learning classifier
- Plasma proteomics subtyping
- Multi-center
- K-means clustering
- Random forest machine learning classifier
Main finding
As reported in the abstract
| Group | Value | Mortality |
|---|---|---|
| Cluster 0 | 100% | 100% |
Cluster 0
Value100%
Mortality100%
Observational data: associations, not effects.
Further findings
ML classifier for subtype assignment
- Model based on 10 proteins and immunoglobulin (Ig) quantities assigned patients to clusters 1, 2 and 3 with high confidence
Original publication
Plasma proteomics identifies molecular subtypes in sepsis. Crit Care. Published 2 September 2025. doi:10.
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