Rendeiro André Figueiredo, Ravichandran Hiranmayi, Bram Yaron, Salvatore Steven, Borczuk Alain, Elemento Olivier, Schwartz Robert Edward
Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA.
Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
medRxiv. 2020 Oct 27:2020.10.26.20219584. doi: 10.1101/2020.10.26.20219584.
Recent studies have provided insights into the pathology and immune response to coronavirus disease 2019 (COVID-19). However thorough interrogation of the interplay between infected cells and the immune system at sites of infection is lacking. We use high parameter imaging mass cytometry targeting the expression of 36 proteins, to investigate at single cell resolution, the cellular composition and spatial architecture of human acute lung injury including SARS-CoV-2. This spatially resolved, single-cell data unravels the disordered structure of the infected and injured lung alongside the distribution of extensive immune infiltration. Neutrophil and macrophage infiltration are hallmarks of bacterial pneumonia and COVID-19, respectively. We provide evidence that SARS-CoV-2 infects predominantly alveolar epithelial cells and induces a localized hyper-inflammatory cell state associated with lung damage. By leveraging the temporal range of COVID-19 severe fatal disease in relation to the time of symptom onset, we observe increased macrophage extravasation, mesenchymal cells, and fibroblasts abundance concomitant with increased proximity between these cell types as the disease progresses, possibly as an attempt to repair the damaged lung tissue. This spatially resolved single-cell data allowed us to develop a biologically interpretable landscape of lung pathology from a structural, immunological and clinical standpoint. This spatial single-cell landscape enabled the pathophysiological characterization of the human lung from its macroscopic presentation to the single-cell, providing an important basis for the understanding of COVID-19, and lung pathology in general.
最近的研究对2019冠状病毒病(COVID-19)的病理学和免疫反应有了深入了解。然而,在感染部位对受感染细胞与免疫系统之间的相互作用进行全面研究仍很缺乏。我们使用高参数成像质谱流式细胞术,针对36种蛋白质的表达,以单细胞分辨率研究包括新型冠状病毒肺炎(SARS-CoV-2)在内的人类急性肺损伤的细胞组成和空间结构。这种空间分辨的单细胞数据揭示了受感染和受损肺脏的无序结构以及广泛免疫浸润的分布情况。中性粒细胞和巨噬细胞浸润分别是细菌性肺炎和COVID-19的特征。我们提供的证据表明,SARS-CoV-2主要感染肺泡上皮细胞,并诱导与肺损伤相关的局部高炎症细胞状态。通过利用COVID-19严重致命疾病与症状出现时间的时间范围,我们观察到随着疾病进展,巨噬细胞外渗、间充质细胞和成纤维细胞丰度增加,同时这些细胞类型之间的距离也增加,这可能是修复受损肺组织的一种尝试。这种空间分辨的单细胞数据使我们能够从结构、免疫和临床角度构建一个具有生物学可解释性的肺病理学图谱。这种空间单细胞图谱实现了从宏观表现到单细胞层面的人类肺脏病理生理学特征描述,为理解COVID-19以及一般的肺病理学提供了重要依据。