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Monthly ReportFeb 1–28, 2025

Sepsis, February 2025 edition

We read 84 papers and selected 5.

Summary

February 2025 sepsis research showed a strong convergence of mechanistic immunology, rapid diagnostics, predictive analytics, and evidence-based reassessment of clinical policy. Translational studies identified actionable pathways including fucosylated haptoglobin–Mincle signaling, endothelial GSDMD-mediated vascular injury, and S100A8/A9–RAGE–Drp1-driven muscle mitochondrial fragmentation. Diagnostic development accelerated through plasma cell-free DNA metagenomics, droplet digital PCR, and longitudinal deep-learning models for earlier bloodstream infection recognition. At the clinical-practice level, systematic-review and randomized-trial evidence questioned SEP-1 as a mortality-reducing metric and found that initiating aspirin in early sepsis increased major bleeding without improving organ dysfunction.

Selected Articles

1. A bladder-blood immune barrier constituted by suburothelial perivascular macrophages restrains uropathogen dissemination.

88.5
Immunity2025PMID: 40015270

This mechanistic study identified suburothelial perivascular macrophages that capture uropathogenic E. coli, preserve inflamed vascular integrity, and use METosis with MMP-13 to sequester bacteria and recruit neutrophils. Monocyte-derived replenishment after infection provided protection against recurrent urinary tract infection, defining a bladder–blood immune barrier that may limit progression from urinary infection to urosepsis.

Impact: The study reveals a previously unrecognized tissue-level defense mechanism against urosepsis and provides a biologically coherent basis for prevention strategies targeting macrophage training, METosis, or MMP-13.

Clinical Implications: Human validation of suburothelial perivascular macrophage signatures could support preventive strategies for recurrent urinary infection and urosepsis. Any intervention modulating extracellular trap formation or MMP-13 will require careful assessment of tissue injury and infection-control effects.

Key Findings

  • Suburothelial perivascular macrophages captured uropathogenic E. coli and preserved inflamed vessel integrity.
  • METosis and MMP-13-mediated bacterial sequestration promoted neutrophil recruitment across the urothelial barrier.
  • Monocyte-derived replenishment after infection protected against recurrent urinary tract infection.

2. Fluoxetine promotes IL-10-dependent metabolic defenses to protect from sepsis-induced lethality.

88.5
Science Advances2025PMID: 39951524

Preclinical studies showed that fluoxetine increased circulating IL-10 independently of peripheral serotonin, prevented sepsis-associated hypertriglyceridemia and cardiac metabolic dysfunction, and reduced mortality in animal models. IL-10 was necessary for the protective immunometabolic effect.

Impact: The study provides a clearly defined, testable mechanism for repurposing an approved drug as host-directed sepsis therapy and links immune modulation to cardiac and lipid metabolism.

Clinical Implications: The findings justify carefully designed phase 2 trials with IL-10, triglyceride, cardiac function, and safety endpoints. They do not support routine clinical use before human efficacy and safety are established.

Key Findings

  • Fluoxetine increased circulating IL-10 independently of peripheral serotonin.
  • IL-10 was required to prevent sepsis-associated hypertriglyceridemia and cardiac metabolic dysfunction.
  • Fluoxetine reduced sepsis-induced lethality in preclinical models.

3. The Effect of Severe Sepsis and Septic Shock Management Bundle (SEP-1) Compliance and Implementation on Mortality Among Patients With Sepsis: A Systematic Review.

83.0
Annals of Internal Medicine2025PMID: 39961104

This PROSPERO-registered systematic review of 17 observational studies found inconsistent associations between SEP-1 compliance or implementation and mortality. No study provided moderate- or high-certainty evidence that SEP-1 reduces mortality, and methodological heterogeneity prevented meta-analysis. The findings challenge the use of SEP-1 as a mortality-linked quality metric.

Impact: The review directly addresses a major national sepsis quality metric and highlights the absence of high-quality causal evidence linking SEP-1 compliance to improved survival.

Clinical Implications: Hospitals should avoid allowing process compliance to displace interventions with demonstrated patient benefit. Policymakers may need to redesign sepsis metrics toward risk-adjusted outcomes, timeliness, safety, and patient-centered measures.

Key Findings

  • Seventeen observational studies showed mixed associations between SEP-1 compliance or implementation and mortality.
  • No included study had low risk of bias or provided moderate- or high-certainty mortality evidence.
  • Methodological heterogeneity prevented meta-analysis and supported reconsideration of SEP-1 policy use.

4. Elevated levels of S100A8 and S100A9 exacerbate muscle mitochondrial fragmentation in sepsis-induced muscle atrophy.

83.0
Communications Biology2025PMID: 40021770

This translational study connected sepsis-associated muscle atrophy with an S100A8/A9–RAGE–Drp1 pathway that promotes mitochondrial fission and myocyte atrophy. Clinical muscle-index changes were associated with 60-day mortality, while inhibition of S100A8/A9, RAGE, or Drp1 improved mitochondrial function and reduced atrophy in experimental models.

Impact: The paper links a clinically meaningful post-sepsis complication to a defined and potentially druggable molecular pathway, integrating patient outcomes with mechanistic and intervention data.

Clinical Implications: S100A8/A9 may serve as a biomarker for patients at risk of ICU-acquired weakness. RAGE or Drp1 modulation warrants early-phase translational studies, but efficacy, timing, and effects on host antimicrobial defense require evaluation.

Key Findings

  • Change in skeletal muscle index was independently associated with 60-day mortality in septic patients.
  • Sepsis increased S100A8/A9 expression and mitochondrial dysfunction in skeletal muscle.
  • S100A8/A9 activated RAGE and Drp1-dependent mitochondrial fragmentation, while pathway inhibition reduced atrophy.

5. Utilising routinely collected clinical data through time series deep learning to improve identification of bacterial bloodstream infections: a retrospective cohort study.

81.5
The Lancet Digital Health2025PMID: 40015765

In a retrospective cohort of 20,850 patients, an LSTM model using up to 14 days of laboratory trajectories predicted pathogenic bloodstream infection with an AUROC of 0.97 in temporal hold-out testing. CRP, eosinophil, and platelet trajectories were important predictors, and the time-series approach outperformed static models.

Impact: The study demonstrates that routinely collected longitudinal data can support high-performance, individualized bloodstream infection prediction before culture results are available.

Clinical Implications: An externally validated model could help prioritize cultures, rapid molecular testing, antimicrobial escalation, or stewardship-guided de-escalation. Prospective evaluation is essential to determine whether model alerts improve outcomes without increasing unnecessary antibiotic use.

Key Findings

  • The LSTM model achieved AUROC 0.97 and AUPRC 0.65 in temporal hold-out testing.
  • Longitudinal CRP, eosinophil, and platelet patterns were important predictors.
  • The time-series model outperformed static logistic models, particularly for hospital-acquired bloodstream infection.