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Xiaoxi Shan^1,2, Songmei Yu³, Zhaoying Tang²

¹Department of Respiratory and Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin, China.

Frontiers in immunology

|August 6, 2025

概括

气皮D (GSDMD) - 中性细胞外细胞陷 (NETs) 轴的激活与败血症诱导的凝血病 (SIC) 和葡萄糖损伤有关. 像N-GSDMD和MPO-DNA这样的生物标志物可以预测败血症患者的SIC严重程度和死亡率.

科学领域:

败血症病理生理学病理生理学
凝血障碍凝血障碍凝血障碍
炎症生物学炎症生物学

背景情况:

中性粒细胞外细胞陷 (NETs) 与炎症和凝血失衡有关.
气体皮质D (GSDMD) 的激活和孔隙形成是NET生成的关键驱动因素.
败血症引起的凝血病 (SIC) 是一种严重并发症,与高死亡率有关.

研究的目的:

调查GSDMD-NETs轴与败血症引起的凝血病 (SIC) 之间的关联.
探索GSDMD-NETs激活,葡萄糖损伤和败血症的临床结果之间的关系.
评估GSDMD-NETs生物标志物的SIC和死亡率的预测价值.

主要方法:

70名败血症患者的前性队列研究 (35名有SIC,35名没有).
血生物标志物的测量:N-GSDMD,MPO-DNA (GSDMD-NETs轴),syndecan-1,MMP-9 (葡萄糖损伤). 血生物标志物的测量:N-GSDMD,MPO-DNA (GSDMD-NETs轴),syndecan-1,MMP-9 (葡萄糖损伤). 血生物标志物的测量:N-GSDMD,MPO-DNA (GSDMD-NETs轴),syndecan-1,MMP-9 (葡萄糖损伤).
统计分析包括后勤回归,ROC分析和皮尔森相关性.

主要成果:

在SIC患者中,病毒感染,出血事件和死亡率较高.
在SIC患者中观察到高GSDMD-NETs (N-GSDMD,MPO-DNA) 和葡萄糖损伤标志物 (syndecan-1,MMP-9).
N-GSDMD和MPO-DNA独立预测了SIC风险,并证明了SIC,机械通风和死亡率的显著预测有效性.

结论:

GSDMD-NETs轴激活与SIC,葡萄糖损伤和败血症的不良结果密切相关.
血N-GSDMD和MPO-DNA是SIC严重程度和死亡率的潜在预测生物标志物.
研究结果表明,GSDMD-NETs轴在与败血症相关的病理学中发挥了作用,并突出了潜在的治疗点.

关键词:

生物标志物生物标志物气体皮层 D D D D D 葡萄糖糖的性糖质 (glycocalyx) 是一种中性粒细胞外细胞陷败血症诱导的凝血病症

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