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Biomimetic Human Disease Model of SARS‐CoV‐2‐Induced Lung Injury and Immune Responses on Organ Chip System

Authors :
Xu Zhang
Jian-Bao Han
Haitao Liu
Jianhua Qin
Tingting Tao
Yaqiong Guo
Yu-Lin Yao
Min Zhang
Yaqing Wang
Wenwen Chen
Kangli Cui
Rong-Hua Luo
Peng Wang
Yong-Tang Zheng
Ming-Hua Li
Zhongyu Li
Source :
Advanced Science, Advanced Science, Vol 8, Iss 3, Pp n/a-n/a (2021)
Publication Year :
2020
Publisher :
Wiley, 2020.

Abstract

Coronavirus disease 2019 (COVID-19) is a global pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The models that can accurately resemble human-relevant responses to viral infection are lacking. Here, we create a biomimetic human disease model on chip that allows to recapitulate lung injury and immune responses induced by SARS-CoV-2 in vitro at organ level. This human alveolar chip reproduced the key features of alveolar-capillary barrier by co-culture of human alveolar epithelium, microvascular endothelium and circulating immune cells under fluidic flow in normal and disease. Upon SARS-CoV-2 infection, the epithelium exhibited higher susceptibility to virus than endothelium. Transcriptional analyses showed activated innate immune responses in epithelium and cytokine-dependent pathways in endothelium at 3 days post-infection, revealing the distinctive responses in different cell types. Notably, viral infection caused the immune cell recruitment, endothelium detachment, and increased inflammatory cytokines release, suggesting the crucial role of immune cells involving in alveolar barrier injury and exacerbated inflammation. Treatment with remdesivir could inhibit viral replication and alleviate barrier disruption on chip. This organ chip model can closely mirror human-relevant responses to SARS-CoV-2 infection, which is difficult to be achieved by in vitro models, providing a unique platform for COVID-19 research and drug development. This article is protected by copyright. All rights reserved.

Details

Language :
English
ISSN :
21983844
Database :
OpenAIRE
Journal :
Advanced Science
Accession number :
edsair.doi.dedup.....db4b0408754d2718eaa70d7bd2f85ea4
Full Text :
https://doi.org/10.1002/advs.202002928