Rutkowska Elżbieta, Kwiecień Iwona, Żabicka Magdalena, Maliborski Artur, Raniszewska Agata, Kłos Krzysztof, Urbańska Weronika, Klajnowicz Izabella, Rzepecki Piotr, Chciałowski Andrzej
Laboratory of Hematology and Flow Cytometry, Department of Internal Medicine and Hematology, Military Institute of Medicine, 04-141 Warsaw, Poland.
Department of Radiology, Military Institute of Medicine, 04-141 Warsaw, Poland.
Viruses. 2021 May 11;13(5):880. doi: 10.3390/v13050880.
The role of the adaptive microenvironment components in severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) infection is widely researched, but remains unclear. Studying the common dynamics of adaptive immune response changes can help understand the pathogenesis of coronavirus disease 2019 (COVID-19), especially in critical patients. The aim of the present study was to determine the cytokines concentration and leukocyte subpopulations profiles in the severe COVID-19 ( = 23) and critical ( = 18) COVID-19 group distinguished by the computed tomography (CT) severity score. We observed lower percentage of lymphocyte subpopulation, higher neutrophils to lymphocytes ratio (NLR) and higher IL-6 concentration in critical COVID-19 group than in severe group. CT severity score was negative correlated with proportion of lymphocytes, lymphocytes T, CD4+ cells, Treg cells and NK cells and positive correlated with neutrophils, NLR, and IL-6. In critical group more correlations between cytokines and lymphocytes were observed, mainly between TNF-α, IL-1β and lymphocyte subpopulations. The collective assessment of the cytokine profile, leukocyte subpopulations and the CT severity score can help to characterize and differentiate patient in advanced COVID-19 than the study of single parameters. We have shown that the interconnection of elements of the adaptive microenvironment can play an important role in critical COVID-19 cases.
适应性微环境成分在严重急性呼吸综合征冠状病毒2(SARS-CoV-2)感染中的作用已得到广泛研究,但仍不清楚。研究适应性免疫反应变化的共同动态有助于理解2019冠状病毒病(COVID-19)的发病机制,尤其是在重症患者中。本研究的目的是确定通过计算机断层扫描(CT)严重程度评分区分的重症COVID-19组(n = 23)和危重症COVID-19组(n = 18)中的细胞因子浓度和白细胞亚群谱。我们观察到,危重症COVID-19组的淋巴细胞亚群百分比低于重症组,中性粒细胞与淋巴细胞比值(NLR)和IL-6浓度高于重症组。CT严重程度评分与淋巴细胞、淋巴细胞T、CD4 +细胞、调节性T细胞(Treg细胞)和自然杀伤细胞(NK细胞)的比例呈负相关,与中性粒细胞、NLR和IL-6呈正相关。在危重症组中,观察到细胞因子与淋巴细胞之间的相关性更多,主要是肿瘤坏死因子-α(TNF-α)、白细胞介素-1β(IL-1β)与淋巴细胞亚群之间的相关性。与单一参数研究相比,对细胞因子谱、白细胞亚群和CT严重程度评分进行综合评估有助于对晚期COVID-19患者进行特征描述和区分。我们已经表明,适应性微环境各要素之间的相互联系在危重症COVID-19病例中可能起重要作用。