Andrievskaya Irina Anatolyevna, Ustinov Egor Mikhailovich, Lyazgian Karen Sargisovich, Ishutina Nataliya Alexandrovna, Dovzhikova Inna Victorovna
Laboratory of Mechanisms of Etiopathogenesis and Recovery Processes of the Respiratory System at Non-Specific Lung Diseases, Far Eastern Scientific Center of Physiology and Pathology of Respiration, 22 Kalinina Str., Blagoveshchensk 675000, Russia.
Curr Issues Mol Biol. 2024 Jan 25;46(2):1121-1135. doi: 10.3390/cimb46020071.
Currently, the assessment of immune status in patients with COVID-19 is limited to determining the count of polymorphonuclear leukocytes and the phagocytic function of neutrophils, which is insufficient to understand the regulatory role of innate immunity cells in the development of pneumonia. However, no such studies have been conducted in pregnant women with COVID-19. The aim of this study was to investigate the functional state of neutrophil granulocytes in order to identify predictors of pneumonia severity risk in pregnant women with COVID-19. A clinical characterization of pregnant women with COVID-19 in addition to minimal and average lung changes was provided. The composition and ratio of morphological forms of leukocyte cells were studied. Cytochemical studies of neutrophil granulocytes were carried out and calculations of the mean cytological index (MCI) for succinate dehydrogenase, myeloperoxidase, and cationic proteins were performed. The number of NETs in blood smears was counted. Independent predictors of pneumonia severity in pregnant women with COVID-19 were calculated using regression analysis. The quality of the model was assessed using ROC analysis. In pregnant women with COVID-19 and an average volume of lung changes, the number of polymorphonuclear leukocytes ( = 0.03) and band neutrophils ( = 0.002) in the blood was significantly higher than in pregnant women with minimal lung changes. The MCI indicators of succinate dehydrogenase, cationic proteins, and myeloperoxidase in pregnant women with COVID-19 were reduced in relation to the control group ( < 0.0001). In blood smears of pregnant women with COVID-19 and an average volume of lung changes, the number of NETs increased ( = 0.002). Regression analysis showed that succinate dehydrogenase and NETs are independent predictors of pneumonia severity in pregnant women with COVID-19. Our study confirms the prognostic significance of low levels of neutrophilic succinate dehydrogenase and high levels of NETs in the blood of pregnant women with COVID-19. The combination of these two biomarkers is a significant reflection of the severity of pneumonia development in pregnant women with COVID-19. However, further research is needed to identify the mechanisms underlying this association.
目前,对新冠病毒病患者免疫状态的评估仅限于确定多形核白细胞计数和中性粒细胞的吞噬功能,这不足以了解固有免疫细胞在肺炎发展中的调节作用。然而,尚未对感染新冠病毒病的孕妇进行此类研究。本研究的目的是调查中性粒细胞的功能状态,以确定感染新冠病毒病孕妇发生严重肺炎风险的预测因素。除了轻微和中度肺部改变外,还提供了感染新冠病毒病孕妇的临床特征。研究了白细胞细胞形态形式的组成和比例。对中性粒细胞进行了细胞化学研究,并计算了琥珀酸脱氢酶、髓过氧化物酶和阳离子蛋白的平均细胞学指数(MCI)。对血涂片中网织中性粒细胞(NETs)的数量进行了计数。采用回归分析计算感染新冠病毒病孕妇发生严重肺炎的独立预测因素。使用ROC分析评估模型质量。在肺部改变为中度的感染新冠病毒病孕妇中,血液中的多形核白细胞数量(=0.03)和带状中性粒细胞数量(=0.002)显著高于肺部改变轻微的孕妇。感染新冠病毒病孕妇的琥珀酸脱氢酶、阳离子蛋白和髓过氧化物酶的MCI指标相对于对照组降低(<0.0001)。在肺部改变为中度的感染新冠病毒病孕妇的血涂片中,NETs数量增加(=0.002)。回归分析表明,琥珀酸脱氢酶和NETs是感染新冠病毒病孕妇发生严重肺炎的独立预测因素。我们的研究证实了感染新冠病毒病孕妇血液中嗜中性琥珀酸脱氢酶水平低和NETs水平高的预后意义。这两种生物标志物的组合显著反映了感染新冠病毒病孕妇肺炎发展的严重程度。然而,需要进一步研究来确定这种关联背后的机制。