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

Science advances2025-02-14PubMed
Total: 87.0Innovation: 9Impact: 8Rigor: 9Citation: 8

Summary

In preclinical models, fluoxetine protects against sepsis lethality by elevating circulating IL-10, independent of peripheral serotonin, thereby preventing sepsis-induced hypertriglyceridemia and cardiac metabolic dysfunction. The study defines an immunometabolic defense mechanism with repurposing potential for a widely used SSRI.

Key Findings

  • Fluoxetine-mediated protection from sepsis is independent of peripheral serotonin signaling.
  • Fluoxetine increases circulating IL-10, which is necessary for protection against sepsis-induced hypertriglyceridemia.
  • IL-10–dependent effects prevent cardiac glucose oxidation impairment, ectopic lipid accumulation, ventricular stretch, and possible cardiac failure.

Clinical Implications

Do not change practice yet, but the data justify prospective, controlled trials testing fluoxetine as adjunctive therapy in sepsis with IL-10 and cardiometabolic endpoints. Patient selection, dosing, and safety (e.g., QT risk, bleeding) require careful evaluation.

Why It Matters

Identifies a concrete IL-10–mediated mechanism linking SSRI exposure to sepsis protection, suggesting a readily testable, host-directed therapy. It bridges immunology, metabolism, and psychopharmacology with high translational promise.

Limitations

  • Preclinical study without randomized clinical validation.
  • Dosing, timing, and safety profile for sepsis populations were not defined.

Future Directions

Conduct phase 2 randomized trials of fluoxetine as adjunctive therapy in sepsis, stratified by baseline IL-10 levels and cardiometabolic phenotypes; delineate central versus peripheral mechanisms and define optimal dosing windows.

Study Information

Study Type
Basic/mechanistic research
Research Domain
Pathophysiology/Treatment
Evidence Level
V - Preclinical mechanistic evidence in animal models without clinical randomization.
Study Design
OTHER