The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi, China.
Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China.
Front Immunol. 2024 Jan 29;15:1287132. doi: 10.3389/fimmu.2024.1287132. eCollection 2024.
Neutrophil extracellular traps (NETs) play a key role in thrombus formation in patients with coronavirus disease 2019 (COVID-19). However, the existing detection and observation methods for NETs are limited in their ability to provide quantitative, convenient, and accurate descriptions of NETs. Therefore, establishing a quantitative description of the relationship between NETs and thrombosis remains a challenge.
We employed morphological observations of blood cells and statistical analyses to investigate the correlation between the NETs/neutrophilic segmented granulocyte ratio and mortality risk in patients with COVID-19.
Peripheral blood samples were collected from 117 hospitalized patients with COVID-19 between November 2022 and February 2023, and various blood cell parameters were measured. Two types of smudge cells were observed in the blood and counted: lymphatic and neutral smudge cells. Statistical data analysis was used to establish COVID-19 mortality risk assessment indicators.
Morphological observations of neutrophilic smudge cells revealed swelling, eruption, and NETs formation in the neutrophil nuclei. Subsequently, the NETs/neutrophilic segmented granulocyte ratio (NNSR) was calculated. A high concentration of NETs poses a fatal risk for thrombus formation in patients. Statistical analysis indicated that a high NNSR was more suitable for evaluating the risk of death in patients with COVID-19 compared to elevated fibrinogen (FIB) and D-dimer (DD) levels.
Observing blood cell morphology is an effective method for the detection of NETs, NNSR are important markers for revealing the mortality risk of patients with COVID-19.
中性粒细胞胞外诱捕网(NETs)在 2019 冠状病毒病(COVID-19)患者的血栓形成中起关键作用。然而,现有的 NETs 检测和观察方法在提供 NETs 的定量、方便和准确描述方面能力有限。因此,建立 NETs 与血栓形成之间的定量描述仍然是一个挑战。
我们采用血细胞形态学观察和统计分析方法,研究 COVID-19 患者 NETs/中性粒细胞分叶核粒细胞比值与死亡风险的相关性。
收集 2022 年 11 月至 2023 年 2 月期间 117 例住院 COVID-19 患者的外周血样本,并测量各种血细胞参数。观察血液中的两种类型的血涂片细胞:淋巴血涂片细胞和中性血涂片细胞,并进行计数。采用统计数据分析方法建立 COVID-19 死亡风险评估指标。
中性粒细胞血涂片细胞的形态学观察显示,中性粒细胞核肿胀、爆发并形成 NETs。随后计算 NETs/中性粒细胞分叶核粒细胞比值(NNSR)。高浓度的 NETs 对患者血栓形成构成致命风险。统计分析表明,与升高的纤维蛋白原(FIB)和 D-二聚体(DD)水平相比,高 NNSR 更适合评估 COVID-19 患者的死亡风险。
观察血细胞形态是检测 NETs 的有效方法,NNSR 是揭示 COVID-19 患者死亡风险的重要标志物。