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重新审视 RSV 感染:在细胞分辨率下对整个鼠肺进行组织透明化和 3D 成像。

New Look at RSV Infection: Tissue Clearing and 3D Imaging of the Entire Mouse Lung at Cellular Resolution.

机构信息

Université Paris-Saclay, INRAE, UVSQ, VIM, 78350 Jouy-en-Josas, France.

CIRI, Centre International de Recherche en Infectiologie, Univ Lyon, Inserm, U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de Lyon, F-69007 Lyon, France.

出版信息

Viruses. 2021 Jan 28;13(2):201. doi: 10.3390/v13020201.

Abstract

BACKGROUND

Respiratory Syncytial Virus (RSV) is the major cause of severe acute respiratory tract illness in young children worldwide and a main pathogen for the elderly and immune-compromised people. In the absence of vaccines or effective treatments, a better characterization of the pathogenesis of RSV infection is required. To date, the pathophysiology of the disease and its diagnosis has mostly relied on chest X-ray and genome detection in nasopharyngeal swabs. The development of new imaging approaches is instrumental to further the description of RSV spread, virus-host interactions and related acute respiratory disease, at the level of the entire lung.

METHODS

By combining tissue clearing, 3D microscopy and image processing, we developed a novel visualization tool of RSV infection in undissected mouse lungs.

RESULTS

Whole tissue analysis allowed the identification of infected cell subtypes, based on both morphological traits and position within the cellular network. Furthermore, 3D imaging was also valuable to detect the cytoplasmic viral factories, also called inclusion bodies, a hallmark of RSV infection.

CONCLUSIONS

Whole lung clearing and 3D deep imaging represents an unprecedented visualization method of infected lungs to allow insight into RSV pathophysiology and improve the 2D histology analyses.

摘要

背景

呼吸道合胞病毒(RSV)是全球范围内导致婴幼儿严重急性呼吸道疾病的主要原因,也是老年人和免疫功能低下者的主要病原体。在没有疫苗或有效治疗方法的情况下,需要更好地描述 RSV 感染的发病机制。迄今为止,该疾病的病理生理学及其诊断主要依赖于胸部 X 光和鼻咽拭子中的基因组检测。新的成像方法的发展对于进一步描述 RSV 的传播、病毒-宿主相互作用以及整个肺部的相关急性呼吸道疾病至关重要。

方法

通过结合组织透明化、3D 显微镜和图像处理,我们开发了一种用于未解剖小鼠肺部 RSV 感染的新型可视化工具。

结果

全组织分析允许根据形态特征和在细胞网络中的位置来识别受感染的细胞亚型。此外,3D 成像对于检测细胞质病毒工厂(也称为包涵体)也很有价值,这是 RSV 感染的一个标志。

结论

整个肺部透明化和 3D 深度成像代表了一种前所未有的受感染肺部可视化方法,可深入了解 RSV 病理生理学,并改进 2D 组织学分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de30/7912480/0437691694f7/viruses-13-00201-g001.jpg

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