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Kreutmair, Stefanie; Unger, Susanne; Núñez, Nicolás Gonzalo; Ingelfinger, Florian; Alberti, Chiara; De Feo, Donatella; Krishnarajah, Sinduya; Kauffmann, Manuel; Friebel, Ekaterina; Babaei, Sepideh; Gaborit, Benjamin; Lutz, Mirjam; Jurado, Nicole Puertas; Malek, Nisar P.; Goepel, Siri; Rosenberger, Peter; Häberle, Helene A.; Ayoub, Ikram; Al-Hajj, Sally; Nilsson, Jakob; Claassen, Manfred; Liblau, Roland; Martin-Blondel, Guillaume; Bitzer, Michael; Roquilly, Antoine; Becher, Burkhard
Immunity (Cambridge, Mass.), 07/2021, Letnik: 54, Številka: 7Journal Article
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 peptides to the patients’ HLA profile further linked the COVID-19 immunopathology to impaired virus recognition. Toward clinical translation, circulating CD56+T 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. Display omitted •GM-CSF+ T cells are a hallmark of severe respiratory syndrome independent of pathogen•T cell exhaustion and impaired early antiviral response are unique in severe COVID-19•Circulating CD56+T cell frequencies serve as a predictive biomarker for severe COVID-19•HLA profile links COVID-19 immunopathology to impaired virus recognition The pathogen-specific immune alterations in severe COVID-19 remain unknown. Using longitudinal, high-dimensional, single-cell spectral cytometry and algorithm-guided comparison of COVID-19 versus non-SARS-CoV-2-pneumonia patient samples, Kreutmair et al. identify T and NK cell immune signatures specific to SARS-CoV-2. They furthermore reveal CD56+T cell frequency as a predictive biomarker for COVID-19 outcome prediction and link impaired virus recognition to HLA genetics.
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