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Damage-Associated Molecular Patterns in Perioperative Anesthesia Care: A Clinical Perspective
Wiriya Maisat1, Koichi Yuki2,3
1Department of Anesthesiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand.
None:
Damage-associated molecular patterns (DAMPs) are endogenous molecules released during cellular stress or injury that trigger sterile inflammation. In perioperative settings, common triggers include surgical trauma, ischemia-reperfusion injury, cardiopulmonary bypass, blood transfusion, and mechanical ventilation. When released extracellularly, DAMPs activate innate immune receptors such as Toll-like receptors (TLRs) and the receptor for advanced glycation end products (RAGE), initiating signaling cascades that amplify inflammation, disrupt endothelial integrity, and promote coagulation and metabolic imbalance. This sterile inflammatory response may extend local tissue injury into systemic organ dysfunction, manifesting clinically as acute lung injury, acute kidney injury, myocardial dysfunction, disseminated intravascular coagulation, and perioperative neurocognitive disorders. Recognizing the central role of DAMPs reframes these complications as predictable consequences of endogenous danger signaling rather than solely as results of infection or hemodynamic instability. This understanding supports the use of established strategies such as protective ventilation and restrictive transfusion to minimize DAMP release. Emerging evidence also suggests that anesthetic agents may influence DAMP-mediated inflammation: propofol and dexmedetomidine appear to exert anti-inflammatory effects, whereas volatile anesthetics show variable results. Although clinical data remain limited, anesthetic choice and perioperative management may significantly affect systemic inflammatory burden and recovery. Future research validating DAMPs as biomarkers and therapeutic targets may inform precision anesthetic strategies aimed at modulating sterile inflammation, ultimately enhancing perioperative outcome.
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