Institute of Virology, Technical University of Munich, Munich, Germany.
Central Institute for Translational Cancer Research (TranslaTUM), Technical University of Munich, Munich, Germany.
Front Immunol. 2021 Aug 19;12:601080. doi: 10.3389/fimmu.2021.601080. eCollection 2021.
COVID-19, the disease caused by SARS-CoV-2 infection, can assume a highly variable disease course, ranging from asymptomatic infection, which constitutes the majority of cases, to severe respiratory failure. This implies a diverse host immune response to SARS-CoV-2. However, the immunological underpinnings underlying these divergent disease courses remain elusive. We therefore set out to longitudinally characterize immune signatures of convalescent COVID-19 patients stratified according to their disease severity. Our unique convalescent COVID-19 cohort consists of 74 patients not confounded by comorbidities. This is the first study of which we are aware that excludes immune abrogations associated with non-SARS-CoV-2 related risk factors of disease severity. Patients were followed up and analyzed longitudinally (2, 4 and 6 weeks after infection) by high-dimensional flow cytometric profiling of peripheral blood mononuclear cells (PBMCs), in-depth serum analytics, and transcriptomics. Immune phenotypes were correlated to disease severity. Convalescence was overall associated with uniform immune signatures, but distinct immune signatures for mildly severely affected patients were detectable within a 2-week time window after infection.
COVID-19,即由 SARS-CoV-2 感染引起的疾病,其病程可能高度多变,从无症状感染(占大多数病例)到严重呼吸衰竭不等。这意味着宿主对 SARS-CoV-2 的免疫反应存在差异。然而,导致这些不同疾病进程的免疫学基础仍难以捉摸。因此,我们着手根据疾病严重程度对 COVID-19 恢复期患者进行纵向特征分析,以确定免疫特征。我们独特的 COVID-19 恢复期患者队列由 74 名未受到合并症影响的患者组成。这是我们所知的首次排除与疾病严重程度相关的非 SARS-CoV-2 相关风险因素相关的免疫抑制的研究。通过对患者外周血单核细胞(PBMC)进行高维流式细胞术分析、深入的血清分析和转录组学分析,对患者进行了纵向(感染后 2、4 和 6 周)随访和分析。免疫表型与疾病严重程度相关。恢复期总体上与统一的免疫特征相关,但在感染后 2 周的时间窗口内,可检测到轻度和重度患者的明显不同的免疫特征。