Institute of Infectious Diseases, Capital Medical University, China.
Beijing Key Laboratory of Emerging Infectious Diseases, China.
J Infect Dis. 2018 Jan 17;217(3):428-437. doi: 10.1093/infdis/jix475.
Most patients with severe infection with influenza A virus (IAV) progress to acute respiratory distress syndrome and even multiple organ dysfunction syndrome (MODS). Neutrophil extracellular traps (NETs) can be induced by pathogens and are responsible for immune tissue damage. We conducted a prospective study on the production and effects of NETs in H7N9 and H1N1 patients.
We investigated NET production in plasma and supernatant of cultured neutrophils by measuring cell-free deoxyribonucleic acid (DNA) and myeloperoxidase (MPO)-DNA complexes with PicoGreen dye and enzyme-linked immunosorbent assay methods, respectively. We also observed NET structure by immunofluorescence staining.
We found that patients with severe influenza showed elevated plasma NET level on the day of admission. Neutrophils from these patients showed higher capacity to release MPO-DNA complex in response to interleukin-8 or lipopolysaccharide stimulation. We also found that NETs from H7N9 and H1N1 patients increased the permeability of alveolar epithelial cells, and, consequently, NET production was positively correlated with acute physiology and chronic health evaluation (APACHE) II score and MODS.
These data indicate that high level of NETs contributes to lung injury and is correlated with severity of disease. Thus, NETs might be a key factor to predict the poor prognosis in IAV patients.
大多数严重感染甲型流感病毒(IAV)的患者会进展为急性呼吸窘迫综合征,甚至多器官功能障碍综合征(MODS)。中性粒细胞胞外诱捕网(NETs)可被病原体诱导产生,导致免疫组织损伤。我们对 H7N9 和 H1N1 患者中 NETs 的产生和作用进行了前瞻性研究。
通过使用 PicoGreen 染料和酶联免疫吸附测定法分别测量血浆和培养的中性粒细胞上清液中的无细胞脱氧核糖核酸(DNA)和髓过氧化物酶(MPO)-DNA 复合物,我们研究了 NET 的产生。我们还通过免疫荧光染色观察了 NET 的结构。
我们发现,严重流感患者在入院当天表现出升高的血浆 NET 水平。这些患者的中性粒细胞对白细胞介素 8 或脂多糖刺激表现出更高的释放 MPO-DNA 复合物的能力。我们还发现,来自 H7N9 和 H1N1 患者的 NETs 增加了肺泡上皮细胞的通透性,因此,NET 的产生与急性生理学和慢性健康评估(APACHE)II 评分和 MODS 呈正相关。
这些数据表明,高水平的 NETs 有助于肺损伤,并且与疾病的严重程度相关。因此,NETs 可能是预测 IAV 患者预后不良的关键因素。