Rendeiro André F, Ravichandran Hiranmayi, Bram Yaron, Chandar Vasuretha, Kim Junbum, Meydan Cem, Park Jiwoon, Foox Jonathan, Hether Tyler, Warren Sarah, Kim Youngmi, Reeves Jason, Salvatore Steven, Mason Christopher E, Swanson Eric C, Borczuk Alain C, Elemento Olivier, Schwartz Robert E
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.
Nature. 2021 May;593(7860):564-569. doi: 10.1038/s41586-021-03475-6. Epub 2021 Mar 29.
Recent studies have provided insights into the pathology of and immune response to COVID-19. However, a thorough investigation of the interplay between infected cells and the immune system at sites of infection has been lacking. Here we use high-parameter imaging mass cytometry that targets the expression of 36 proteins to investigate the cellular composition and spatial architecture of acute lung injury in humans (including injuries derived from SARS-CoV-2 infection) at single-cell resolution. These spatially resolved single-cell data unravel 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 hyperinflammatory cell state that is associated with lung damage. We leverage the temporal range of fatal outcomes of COVID-19 in relation to the onset of symptoms, which reveals increased macrophage extravasation and increased numbers of mesenchymal cells and fibroblasts concomitant with increased proximity between these cell types as the disease progresses-possibly as a result of attempts to repair the damaged lung tissue. Our data enable us to develop a biologically interpretable landscape of lung pathology from a structural, immunological and clinical standpoint. We use this landscape to characterize the pathophysiology of the human lung from its macroscopic presentation to the single-cell level, which provides an important basis for understanding COVID-19 and lung pathology in general.
近期的研究为深入了解新型冠状病毒肺炎(COVID-19)的病理学及免疫反应提供了见解。然而,对于感染部位受感染细胞与免疫系统之间相互作用的全面研究仍较为缺乏。在此,我们运用高参数成像质谱流式细胞术,针对36种蛋白质的表达进行检测,以单细胞分辨率研究人类急性肺损伤(包括由严重急性呼吸综合征冠状病毒2 [SARS-CoV-2]感染所致的损伤)的细胞组成和空间结构。这些具有空间分辨率的单细胞数据揭示了受感染和损伤肺脏的无序结构,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,并诱导出一种与肺损伤相关的局部高炎症细胞状态。我们利用COVID-19致命结局与症状发作之间的时间范围,发现随着疾病进展,巨噬细胞外渗增加,间充质细胞和成纤维细胞数量增多,且这些细胞类型之间的距离缩短,这可能是修复受损肺组织的尝试所致。我们的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。我们利用这个图谱来描述人类肺脏从宏观表现到单细胞水平的病理生理学特征,这为全面理解COVID-19和肺病理学提供了重要依据。