Plasma-derived extracellular vesicles prime alveolar macrophages for autophagy and ferroptosis in sepsis-induced acute lung injury.
Summary
Plasma EV profiling identified a biomarker panel linked to sepsis severity and prognosis, with LCN2, miR-122-5p, and miR-223-3p independently predicting septic ARDS. Mechanistically, EV miR-223-3p activates Hippo signaling via MEF2C in alveolar macrophages, driving inflammation, autophagy, and ferroptosis; its inhibition attenuated lung injury in vivo.
Key Findings
- EV-based biomarker panel (miR-122-5p, miR-125b-5p, miR-223-3p, OLFM4, LCN2) correlated with sepsis severity/prognosis.
- LCN2, miR-122-5p, and miR-223-3p independently predicted septic ARDS.
- EV miR-223-3p promoted inflammation, autophagy, and ferroptosis in alveolar macrophages via MEF2C/Hippo signaling.
- Inhibition of miR-223-3p reduced lung inflammation, AM death, and histologic injury in vivo.
Clinical Implications
EV miR-223-3p and LCN2 could support early identification of patients at risk for septic ARDS and guide monitoring. Therapeutic inhibition of miR-223-3p warrants translational evaluation.
Why It Matters
Links circulating EV cargo to both risk stratification and mechanistic injury pathways in septic lung injury, offering actionable biomarkers and a therapeutic target (miR-223-3p).
Limitations
- Clinical cohort size/details not fully specified; external validation cohorts not described
- LPS-based models may not recapitulate polymicrobial sepsis complexity
Future Directions
Prospectively validate EV biomarker thresholds for ARDS prediction and evaluate miR-223-3p-targeted therapeutics in clinically relevant sepsis models (e.g., CLP).
Study Information
- Study Type
- Basic/Mechanistic Research
- Research Domain
- Pathophysiology
- Evidence Level
- V - Preclinical mechanistic evidence with biomarker discovery and in vivo modulation
- Study Design
- OTHER