Interleukin-3 is a predictive marker for severity and outcome during SARS-CoV-2 infections.
Interleukin-3 is a predictive marker for severity and outcome during SARS-CoV-2 infections.
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DOI:
10.1038/s41467-021-21310-4
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发表时间:
2021-02-18
影响因子:
16.6
通讯作者:
Weber GF
中科院分区:
文献类型:
--
作者:
Bénard A;Jacobsen A;Brunner M;Krautz C;Klösch B;Swierzy I;Naschberger E;Podolska MJ;Kouhestani D;David P;Birkholz T;Castellanos I;Trufa D;Sirbu H;Vetter M;Kremer AE;Hildner K;Hecker A;Edinger F;Tenbusch M;Mühl-Zürbes P;Steinkasserer A;Richter E;Streeck H;Berger MM;Brenner T;Weigand MA;Swirski FK;Schett G;Grützmann R;Weber GF
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a worldwide health threat. In a prospective multicentric study, we identify IL-3 as an independent prognostic marker for the outcome during SARS-CoV-2 infections. Specifically, low plasma IL-3 levels is associated with increased severity, viral load, and mortality during SARS-CoV-2 infections. Patients with severe COVID-19 exhibit also reduced circulating plasmacytoid dendritic cells (pDCs) and low plasma IFNα and IFNλ levels when compared to non-severe COVID-19 patients. In a mouse model of pulmonary HSV-1 infection, treatment with recombinant IL-3 reduces viral load and mortality. Mechanistically, IL-3 increases innate antiviral immunity by promoting the recruitment of circulating pDCs into the airways by stimulating CXCL12 secretion from pulmonary CD123+ epithelial cells, both, in mice and in COVID-19 negative patients exhibiting pulmonary diseases. This study identifies IL-3 as a predictive disease marker for SARS-CoV-2 infections and as a potential therapeutic target for pulmunory viral infections. Here, the authors identify interleukin-3 as a predictive marker for severity and outcome of SARS-CoV-2 infection in a multi-center, prospective study and find that patients with severe COVID-19 have reduced circulating plasmacytoid dendritic cell levels compared to non-severe COVID-19 patients.
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影响因子:
4.4
作者:
Srivastava, Rupesh K.;Tomar, Geetanjali B.;Wani, Mohan R.
通讯作者:
Wani, Mohan R.
影响因子:
39
作者:
Wu, Chaomin;Chen, Xiaoyan;Song, Yuanlin
通讯作者:
Song, Yuanlin
影响因子:
--
作者:
PRELLNER, T;FLAMHOLC, L;WIDELL, A
通讯作者:
WIDELL, A
DOI:
10.1038/nri3865
发表时间:
2015-08
期刊:
Nature reviews. Immunology
影响因子:
--
作者:
Swiecki M;Colonna M
通讯作者:
Colonna M
影响因子:
38.9
作者:
Linssen, Catharina F. M.;Jacobs, Jan A.;Smismans, Annick
通讯作者:
Smismans, Annick