The spatial landscape of lung pathology during COVID-19 progression.
The spatial landscape of lung pathology during COVID-19 progression.
复制标题
新冠病毒感染(COVID-19)进展过程中肺部病变的空间景观。
DOI:
10.1038/s41586-021-03475-6
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发表时间:
2021-05
期刊:
影响因子:
64.8
通讯作者:
Schwartz RE
中科院分区:
文献类型:
--
作者:
Rendeiro AF;Ravichandran H;Bram Y;Chandar V;Kim J;Meydan C;Park J;Foox J;Hether T;Warren S;Kim Y;Reeves J;Salvatore S;Mason CE;Swanson EC;Borczuk AC;Elemento O;Schwartz RE
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.
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DOI:
10.1146/annurev-pathol-020712-163930
发表时间:
2013-01-24
期刊:
Annual review of pathology
影响因子:
--
作者:
Duffield JS;Lupher M;Thannickal VJ;Wynn TA
通讯作者:
Wynn TA
影响因子:
9.8
作者:
McQuin C;Goodman A;Chernyshev V;Kamentsky L;Cimini BA;Karhohs KW;Doan M;Ding L;Rafelski SM;Thirstrup D;Wiegraebe W;Singh S;Becker T;Caicedo JC;Carpenter AE
通讯作者:
Carpenter AE
影响因子:
64.8
作者:
Harris CR;Millman KJ;van der Walt SJ;Gommers R;Virtanen P;Cournapeau D;Wieser E;Taylor J;Berg S;Smith NJ;Kern R;Picus M;Hoyer S;van Kerkwijk MH;Brett M;Haldane A;Del Río JF;Wiebe M;Peterson P;Gérard-Marchant P;Sheppard K;Reddy T;Weckesser W;Abbasi H;Gohlke C;Oliphant TE
通讯作者:
Oliphant TE
DOI:
10.1016/s2213-2600(20)30370-2
发表时间:
2020-12
期刊:
The Lancet. Respiratory medicine
影响因子:
--
作者:
Grasselli G;Tonetti T;Protti A;Langer T;Girardis M;Bellani G;Laffey J;Carrafiello G;Carsana L;Rizzuto C;Zanella A;Scaravilli V;Pizzilli G;Grieco DL;Di Meglio L;de Pascale G;Lanza E;Monteduro F;Zompatori M;Filippini C;Locatelli F;Cecconi M;Fumagalli R;Nava S;Vincent JL;Antonelli M;Slutsky AS;Pesenti A;Ranieri VM;collaborators
通讯作者:
collaborators
影响因子:
48
作者:
Giesen, Charlotte;Wang, Hao A. O.;Bodenmiller, Bernd
通讯作者:
Bodenmiller, Bernd