《Nature,3月29日,The spatial landscape of lung pathology during COVID-19 progression》

  • 来源专题:COVID-19科研动态监测
  • 编译者: zhangmin
  • 发布时间:2021-03-30
  • The spatial landscape of lung pathology during COVID-19 progression
    André F. Rendeiro, Hiranmayi Ravichandran, Yaron Bram, Vasuretha Chandar, Junbum Kim, Cem Meydan, Jiwoon Park, Jonathan Foox, Tyler Hether, Sarah Warren, Youngmi Kim, Jason Reeves, Steven Salvatore, Christopher E. Mason, Eric C. Swanson, Alain C. Borczuk, Olivier Elemento & Robert E. Schwartz
    Nature (2021)

    Abstract
    Recent studies have provided insights into the pathology and immune response to coronavirus disease 2019 (COVID-19)1–8. 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 cytometry9 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.

  • 原文来源:https://www.nature.com/articles/s41586-021-03475-6#auth-Alain_C_-Borczuk
相关报告
  • 《Nature,4月3日,Controversies of renin–angiotensin system inhibition during the COVID-19 pandemic》

    • 来源专题:COVID-19科研动态监测
    • 编译者:zhangmin
    • 发布时间:2020-04-04
    • Controversies of renin–angiotensin system inhibition during the COVID-19 pandemic Andrew M. South, Laurie Tomlinson, Daniel Edmonston, Swapnil Hiremath & Matthew A. Sparks Nature Reviews Nephrology (2020) The current COVID-19 pandemic is associated with unprecedented morbidity and mortality. Early reports suggested an association between disease severity and hypertension but did not account for sources of confounding. However, the responsible virus — SARS-CoV-2 — gains entry to host cells via angiotensin-converting enzyme 2 (ACE2), highlighting the need to understand the relationship between the virus and the renin–angiotensin system (RAS) and how this might be affected by RAS inhibitors.
  • 《Nature,3月19日,Estimating clinical severity of COVID-19 from the transmission dynamics in Wuhan, China》

    • 来源专题:COVID-19科研动态监测
    • 编译者:zhangmin
    • 发布时间:2020-03-20
    • Estimating clinical severity of COVID-19 from the transmission dynamics in Wuhan, China Joseph T. Wu, Kathy Leung, Mary Bushman, Nishant Kishore, Rene Niehus, Pablo M. de Salazar, Benjamin J. Cowling, Marc Lipsitch & Gabriel M. Leung Nature Medicine (2020) Abstract As of 29 February 2020 there were 79,394 confirmed cases and 2,838 deaths from COVID-19 in mainland China. Of these, 48,557 cases and 2,169 deaths occurred in the epicenter, Wuhan. A key public health priority during the emergence of a novel pathogen is estimating clinical severity, which requires properly adjusting for the case ascertainment rate and the delay between symptoms onset and death. Using public and published information, we estimate that the overall symptomatic case fatality risk (the probability of dying after developing symptoms) of COVID-19 in Wuhan was 1.4% (0.9–2.1%), which is substantially lower than both the corresponding crude or naïve confirmed case fatality risk (2,169/48,557 = 4.5%) and the approximator1 of deaths/deaths + recoveries (2,169/2,169 + 17,572 = 11%) as of 29 February 2020.