小柯机器人

瑞士苏黎世大学Burkhard Becher课题组发现，独特的免疫学特征可将严重COVID-19与非SARS-CoV-2引起的重症肺炎区分开来。2021年5月9日，国际知名学术期刊《免疫》在线发表了这一成果。

研究人员使用纵向、高维单细胞光谱细胞术和算法指导的分析比较了重症COVID-19与非SARS-CoV-2肺炎ICU患者的免疫状况。COVID-19和非SARS-CoV-2肺炎均显示出紧急骨髓生成的增加，并表现出适应性免疫麻痹的特征。但是，T细胞衰竭的病理免疫特征是COVID-19独有的。单细胞谱分析与SARS-CoV-2多肽预测的结合能力与患者HLA谱的整合进一步将COVID-19免疫病理学与病毒识别能力降低联系在一起。进行临床转化时，循环NKT细胞频率被确定为患者预后的预测生物标志物。这一比较性免疫图谱可用于解释治疗策略，从而干扰严重COVID-19特有的免疫病理级联反应。

据了解，COVID-19患者的免疫分析已发现先天免疫和适应性免疫均发生了许多变化。然而，这些变化是特异于SARS-CoV-2还是由重症肺炎患者共有的一般性炎症反应驱动尚不清楚。

附：英文原文

Title: Distinct immunological signatures discriminate severe COVID-19 from non-SARS-CoV-2-driven critical pneumonia

Author: Stefanie Kreutmair, Susanne Unger, Nicolás Gonzalo Núez, Florian Ingelfinger, Chiara Alberti, Donatella De Feo, Sinduya Krishnarajah, Manuel Kauffmann, Ekaterina Friebel, Sepideh Babaei, Benjamin Gaborit, Mirjam Lutz, Nicole Puertas Jurado, Nisar P. Malek, Siri Goepel, Peter Rosenberger, Helene A. Hberle, Ikram Ayoub, Sally Al-Hajj, Jakob Nilsson, Manfred Classen, Roland Liblau, Guillaume Martin-Blondel, Michael Bitzer, Antoine Roquilly, Burkhard Becher

Issue&Volume: 2021-05-09

Abstract: Immune profiling of COVID-19 patients has identified numerous alterations in both innate and adaptive immunity. However, whether those changes are specific to SARS-CoV-2 or driven by a general inflammatory response shared across severely ill pneumonia patients remains unknown. Here, we compared the immune profile of severe COVID-19 with non-SARS-CoV-2 pneumonia ICU patients using longitudinal, high-dimensional single-cell spectral cytometry and algorithm-guided analysis. COVID-19 and non-SARS-CoV-2 pneumonia both showed increased emergency myelopoiesis and displayed features of adaptive immune paralysis. However, pathological immune signatures suggestive of T cell exhaustion were exclusive to COVID-19. The integration of single-cell profiling with a predicted binding capacity of SARS-CoV-2-petides to the patients’ HLA profile further linked the COVID-19 immunopathology to impaired virus recognition. Towards clinical translation, circulating NKT cell frequency was identified as a predictive biomarker for patient outcome. Our comparative immune map serves to delineate treatment strategies to interfere with the immunopathologic cascade exclusive to severe COVID-19.

DOI: 10.1016/j.immuni.2021.05.002

Source: https://www.cell.com/immunity/fulltext/S1074-7613(21)00208-9

Immunity：《免疫》，创刊于1994年。隶属于细胞出版社，最新IF：43.474
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