Suppr超能文献

COVID-19 肺病与特发性肺纤维化具有相同的驱动 AT2 细胞病变的特征。

COVID-19 lung disease shares driver AT2 cytopathic features with Idiopathic pulmonary fibrosis.

机构信息

Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92093, USA.

Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology (LJI), La Jolla, CA, USA; Department of Medicine, Division of Infectious Diseases and Global Public Health, University of California, San Diego (UCSD), La Jolla, CA, USA.

出版信息

EBioMedicine. 2022 Aug;82:104185. doi: 10.1016/j.ebiom.2022.104185. Epub 2022 Jul 20.

Abstract

BACKGROUND

In the aftermath of Covid-19, some patients develop a fibrotic lung disease, i.e., post-COVID-19 lung disease (PCLD), for which we currently lack insights into pathogenesis, disease models, or treatment options.

METHODS

Using an AI-guided approach, we analyzed > 1000 human lung transcriptomic datasets associated with various lung conditions using two viral pandemic signatures (ViP and sViP) and one covid lung-derived signature. Upon identifying similarities between COVID-19 and idiopathic pulmonary fibrosis (IPF), we subsequently dissected the basis for such similarity from molecular, cytopathic, and immunologic perspectives using a panel of IPF-specific gene signatures, alongside signatures of alveolar type II (AT2) cytopathies and of prognostic monocyte-driven processes that are known drivers of IPF. Transcriptome-derived findings were used to construct protein-protein interaction (PPI) network to identify the major triggers of AT2 dysfunction. Key findings were validated in hamster and human adult lung organoid (ALO) pre-clinical models of COVID-19 using immunohistochemistry and qPCR.

FINDINGS

COVID-19 resembles IPF at a fundamental level; it recapitulates the gene expression patterns (ViP and IPF signatures), cytokine storm (IL15-centric), and the AT2 cytopathic changes, e.g., injury, DNA damage, arrest in a transient, damage-induced progenitor state, and senescence-associated secretory phenotype (SASP). These immunocytopathic features were induced in pre-clinical COVID models (ALO and hamster) and reversed with effective anti-CoV-2 therapeutics in hamsters. PPI-network analyses pinpointed ER stress as one of the shared early triggers of both diseases, and IHC studies validated the same in the lungs of deceased subjects with COVID-19 and SARS-CoV-2-challenged hamster lungs. Lungs from tg-mice, in which ER stress is induced specifically in the AT2 cells, faithfully recapitulate the host immune response and alveolar cytopathic changes that are induced by SARS-CoV-2.

INTERPRETATION

Like IPF, COVID-19 may be driven by injury-induced ER stress that culminates into progenitor state arrest and SASP in AT2 cells. The ViP signatures in monocytes may be key determinants of prognosis. The insights, signatures, disease models identified here are likely to spur the development of therapies for patients with IPF and other fibrotic interstitial lung diseases.

FUNDING

This work was supported by the National Institutes for Health grants R01- GM138385 and AI155696 and funding from the Tobacco-Related disease Research Program (R01RG3780).

摘要

背景

在新冠疫情之后,一些患者出现了纤维化肺部疾病,即新冠后肺部疾病(PCLD),我们目前缺乏对其发病机制、疾病模型或治疗选择的了解。

方法

我们使用人工智能指导的方法,分析了超过 1000 个人类肺部转录组数据集,这些数据集与各种肺部疾病相关,使用了两个病毒大流行特征(ViP 和 sViP)和一个新冠衍生的特征。在确定新冠和特发性肺纤维化(IPF)之间的相似性后,我们从分子、细胞病变和免疫角度,使用一组 IPF 特异性基因特征以及肺泡 II 型(AT2)细胞病变和预后单核细胞驱动过程的特征,来剖析这种相似性的基础,这些过程是 IPF 的主要驱动因素。通过对来源于转录组的发现构建蛋白质-蛋白质相互作用(PPI)网络,以确定 AT2 功能障碍的主要触发因素。使用免疫组织化学和 qPCR 在新冠的仓鼠和人类成人肺类器官(ALO)临床前模型中验证了关键发现。

结果

新冠在根本上与 IPF 相似;它再现了基因表达模式(ViP 和 IPF 特征)、细胞因子风暴(以 IL15 为中心)和 AT2 细胞病变,例如损伤、DNA 损伤、在短暂的、诱导性祖细胞状态下停滞和衰老相关分泌表型(SASP)。这些免疫细胞病变特征在临床前新冠模型(ALO 和仓鼠)中被诱导,并在仓鼠中用有效的抗新冠治疗逆转。PPI 网络分析指出内质网应激是两种疾病的共同早期触发因素之一,免疫组织化学研究在死于新冠的患者肺部和 SARS-CoV-2 挑战的仓鼠肺部中验证了这一点。在 AT2 细胞中特异性诱导内质网应激的 tg 小鼠的肺部忠实地再现了由 SARS-CoV-2 诱导的宿主免疫反应和肺泡细胞病变。

结论

与 IPF 一样,新冠可能由损伤诱导的内质网应激驱动,导致祖细胞状态停滞和 AT2 细胞中的 SASP。单核细胞中的 ViP 特征可能是预后的关键决定因素。这里确定的见解、特征和疾病模型可能会促进为 IPF 和其他纤维化间质性肺疾病患者开发治疗方法。

资助

这项工作得到了美国国立卫生研究院 R01- GM138385 和 AI155696 以及烟草相关疾病研究计划(R01RG3780)的资助。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f613/9307465/bec82702599c/gr1.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验