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Pathogen-specific host response in critically ill patients with blood stream infections: a nested case-control study.

EBioMedicine2025-06-13PubMed
Total: 84.0Innovation: 9Impact: 0Rigor: 0Citation: 0

Summary

In a rigorously designed, multi-platform transcriptomic study of 341 critically ill patients, the causative pathogen accounted for 41.8% of host blood transcriptomic variance in bloodstream infection. Streptococcal BSI elicited the strongest innate/adaptive signatures and an 8-gene classifier generalized across Streptococcus species and external cohorts, while E. coli and S. aureus BSIs showed distinct cytokine/systemic inflammation and endothelial activation profiles, respectively.

Key Findings

  • The causative pathogen explained 41.8% of host blood transcriptomic variance in BSI.
  • Streptococcal BSI showed the strongest innate and adaptive immune activation and supported an 8-gene classifier validated across species and external cohorts.
  • E. coli BSI aligned with the strongest cytokine/systemic inflammation signals, whereas S. aureus BSI showed the strongest endothelial activation signatures.

Clinical Implications

Transcriptomic classifiers and targeted biomarker panels could enable early pathogen-class inference to tailor antimicrobial choices, timing of source control, and adjunctive therapies (e.g., endothelial stabilizers in S. aureus BSI).

Why It Matters

This work advances precision sepsis by linking pathogen identity to distinct, validated host-response signatures and providing a practical 8-gene classifier for streptococcal BSI.

Limitations

  • Observational design with sampling within ±1 day of culture may be influenced by early treatments and disease trajectory
  • Generalizability to non-ICU or polymicrobial infections requires further study; clinical utility of classifiers needs prospective testing

Future Directions

Prospective, real-time testing of pathogen-classifier-guided management to assess impact on time-to-appropriate therapy, source control, and outcomes; expansion to polymicrobial and fungal BSIs.

Study Information

Study Type
Case-control
Research Domain
Diagnosis
Evidence Level
III - Nested case-control with discovery and external validation cohorts using transcriptomics and biomarkers
Study Design
OTHER