A narrative review on lung injury: mechanisms, biomarkers, and monitoring

被引:3
|
作者
Fan, Wenping [1 ,2 ]
Gui, Biyu [3 ]
Zhou, Xiaolei [4 ]
Li, Li [2 ]
Chen, Huaiyong [1 ,2 ,3 ,5 ]
机构
[1] Tianjin Univ, Haihe Hosp, Dept Resp Med, Tianjin 300350, Peoples R China
[2] Tianjin Key Lab Lung Regenerat Med, Tianjin 300350, Peoples R China
[3] Tianjin Med Univ, Haihe Clin Sch, Dept Basic Med, Tianjin 300350, Peoples R China
[4] Zhengzhou Univ, Chest Hosp, Dept Pulm Med, Zhengzhou 450008, Peoples R China
[5] Tianjin Inst Resp Dis, Tianjin 300350, Peoples R China
关键词
Biomarkers; Respiratory disease; Artificial intelligence; Inflammation; Infections; PULMONARY-FIBROSIS; ENDOTHELIAL-CELLS; HOST RESPONSE; PLASMA; EXACERBATION; APOPTOSIS; REVEALS; PATHWAY; IL-6;
D O I
10.1186/s13054-024-05149-x
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
Lung injury is closely associated with the heterogeneity, severity, mortality, and prognosis of various respiratory diseases. Effective monitoring of lung injury is crucial for the optimal management and improved outcomes of patients with lung diseases. This review describes acute and chronic respiratory diseases characterized by significant lung injury and current clinical tools for assessing lung health. Furthermore, we summarized the mechanisms of lung cell death observed in these diseases and highlighted recently identified biomarkers in the plasma indicative of injury to specific cell types and scaffold structure in the lung. Last, we propose an artificial intelligence-driven lung injury monitoring model to assess disease severity, and predict mortality and prognosis, aiming to achieve precision and personalized medicine.
引用
收藏
页数:13
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