中性粒细胞胞外陷阱
先天免疫系统
炎症
细胞外
免疫学
发病机制
免疫
败血症
吞噬作用
免疫系统
生物
存水弯(水管)
细胞生物学
环境工程
工程类
作者
Kieran Zukas,Justin Cayford,Finley Serneo,Brandi Atteberry,Andrew Retter,Mark Eccleston,Theresa K. Kelly
标识
DOI:10.1016/j.jtha.2024.05.028
摘要
BACKGROUND: Neutrophils, the most abundant white blood cells in humans, play pivotal roles in innate immunity, rapidly migrating to sites of infection and inflammation to phagocytose, neutralize, and eliminate invading pathogens. Neutrophil extracellular trap (NET) formation is increasingly recognized as an essential rapid innate immune response, but when dysregulated, it contributes to pathogenesis of sepsis and immunothrombotic disease. OBJECTIVES: Current NETosis models are limited, routinely employing nonphysiological triggers that can bypass natural NET regulatory pathways. Models utilizing isolated neutrophils and immortalized cell lines do not reflect the complex biology underlying neutrophil activation and NETosis that occurs in whole blood. To our knowledge, we report the first human ex vivo model utilizing naturally occurring molecules to induce NETosis in whole blood. This approach could be used for drug screening and, importantly, inadvertent activators of NETosis. METHODS: Here we describe a novel, high-throughput ex vivo whole blood-induced NETosis model using combinatorial pooling of native NETosis-inducing factors in a more biologically relevant Synthetic-Sepsis model. RESULTS: We found different combinations of factors evoked distinct neutrophil responses in the rate of NET generation and/or magnitude of NETosis. Despite interdonor variability, similar sets of proinflammatory molecules induced consistent responses across donors. We found that at least 3 biological triggers were necessary to induce NETosis in our system including either tumor necrosis factor-α or lymphotoxin-α. CONCLUSION: These findings emphasize the importance of investigating neutrophil physiology in a biologically relevant context to enable a better understanding of disease pathology, risk factors, and therapeutic targets, potentially providing novel strategies for disease intervention and treatment.
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