Host metabolism dysregulation and cell tropism identification in human airway and alveolar organoids upon SARS-CoV-2 infection.
Host metabolism dysregulation and cell tropism identification in human airway and alveolar organoids upon SARS-CoV-2 infection.
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SARS-CoV-2感染后人体气道和肺泡类器官的宿主代谢失调和细胞向性识别
DOI:
10.1007/s13238-020-00811-w
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发表时间:
2021-09
期刊:
影响因子:
21.1
通讯作者:
Chen X
中科院分区:
文献类型:
--
作者:
Pei R;Feng J;Zhang Y;Sun H;Li L;Yang X;He J;Xiao S;Xiong J;Lin Y;Wen K;Zhou H;Chen J;Rong Z;Chen X
The coronavirus disease 2019 (COVID-19) pandemic is caused by infection with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which is spread primary via respiratory droplets and infects the lungs. Currently widely used cell lines and animals are unable to accurately mimic human physiological conditions because of the abnormal status of cell lines (transformed or cancer cells) and species differences between animals and humans. Organoids are stem cell-derived self-organized three-dimensional culturein vitroand model the physiological conditions of natural organs. Here we showed that SARS-CoV-2 infected and extensively replicated in human embryonic stem cells (hESCs)-derived lung organoids, including airway and alveolar organoids which covered the complete infection and spread route for SARS-CoV-2 within lungs. The infected cells were ciliated, club, and alveolar type 2 (AT2) cells, which were sequentially located from the proximal to the distal airway and terminal alveoli, respectively. Additionally, RNA-seq revealed early cell response to virus infection including an unexpected downregulation of the metabolic processes, especially lipid metabolism, in addition to the well-known upregulation of immune response. Further, Remdesivir and a human neutralizing antibody potently inhibited SARS-CoV-2 replication in lung organoids. Therefore, human lung organoids can serve as a pathophysiological model to investigate the underlying mechanism of SARS-CoV-2 infection and to discover and test therapeutic drugs for COVID-19.
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DOI:
10.1126/science.abd3072
发表时间:
2020-11-13
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Daly JL;Simonetti B;Klein K;Chen KE;Williamson MK;Antón-Plágaro C;Shoemark DK;Simón-Gracia L;Bauer M;Hollandi R;Greber UF;Horvath P;Sessions RB;Helenius A;Hiscox JA;Teesalu T;Matthews DA;Davidson AD;Collins BM;Cullen PJ;Yamauchi Y
通讯作者:
Yamauchi Y
影响因子:
64.5
作者:
Hou, Yixuan J.;Okuda, Kenichi;Baric, Ralph S.
通讯作者:
Baric, Ralph S.
影响因子:
5.4
作者:
Heurich, Adeline;Hofmann-Winkler, Heike;Poehlmann, Stefan
通讯作者:
Poehlmann, Stefan
影响因子:
5.4
作者:
Glowacka, Ilona;Bertram, Stephanie;Poehlmann, Stefan
通讯作者:
Poehlmann, Stefan
影响因子:
6.1
作者:
Banu N;Panikar SS;Leal LR;Leal AR
通讯作者:
Leal AR