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新冠肺炎患者的全系统转录组损伤和组织特征丧失。

System-wide transcriptome damage and tissue identity loss in COVID-19 patients.

机构信息

Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA.

Laboratory of Virology and Infectious Disease, The Rockefeller University, New York, NY 10065, USA.

出版信息

Cell Rep Med. 2022 Jan 24;3(2):100522. doi: 10.1016/j.xcrm.2022.100522. eCollection 2022 Feb 15.

Abstract

The molecular mechanisms underlying the clinical manifestations of coronavirus disease 2019 (COVID-19), and what distinguishes them from common seasonal influenza virus and other lung injury states such as acute respiratory distress syndrome, remain poorly understood. To address these challenges, we combine transcriptional profiling of 646 clinical nasopharyngeal swabs and 39 patient autopsy tissues to define body-wide transcriptome changes in response to COVID-19. We then match these data with spatial protein and expression profiling across 357 tissue sections from 16 representative patient lung samples and identify tissue-compartment-specific damage wrought by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, evident as a function of varying viral loads during the clinical course of infection and tissue-type-specific expression states. Overall, our findings reveal a systemic disruption of canonical cellular and transcriptional pathways across all tissues, which can inform subsequent studies to combat the mortality of COVID-19 and to better understand the molecular dynamics of lethal SARS-CoV-2 and other respiratory infections.

摘要

新型冠状病毒病 2019(COVID-19)临床表现的分子机制,以及它与常见季节性流感病毒和其他肺部损伤状态(如急性呼吸窘迫综合征)的区别,仍未被充分理解。为了应对这些挑战,我们结合了 646 例临床鼻咽拭子和 39 例患者尸检组织的转录谱分析,以定义对 COVID-19 的全身转录组变化。然后,我们将这些数据与来自 16 个代表性患者肺样本的 357 个组织切片的空间蛋白质和表达谱进行匹配,并确定严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)感染引起的组织隔室特异性损伤,这是感染临床过程中病毒载量不同和组织类型特异性表达状态的功能。总的来说,我们的研究结果揭示了所有组织中典型细胞和转录途径的系统性破坏,这可以为随后的研究提供信息,以对抗 COVID-19 的死亡率,并更好地理解致命的 SARS-CoV-2 和其他呼吸道感染的分子动力学。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/466b/8861882/a83c96b8cb3c/fx1.jpg

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