A large-scale transcriptional study reveals inhibition of COVID-19 related cytokine storm by traditional Chinese medicines.
A large-scale transcriptional study reveals inhibition of COVID-19 related cytokine storm by traditional Chinese medicines.
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一项大规模转录研究揭示了中药可抑制 COVID-19 相关的细胞因子风暴。
DOI:
10.1016/j.scib.2021.01.005
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发表时间:
2021-05-15
期刊:
影响因子:
18.9
通讯作者:
Wang D
中科院分区:
文献类型:
--
作者:
Dai Y;Qiang W;Gui Y;Tan X;Pei T;Lin K;Cai S;Sun L;Ning G;Wang J;Guo H;Sun Y;Cheng J;Xie L;Lan X;Wang D
Coronavirus disease-2019 (COVID-19) has become a major global epidemic. Facilitated by HTS2 technology, we evaluated the effects of 578 herbs and all 338 reported anti-COVID-19 TCM formulae on cytokine storm-related signaling pathways, and identified the key targets of the relevant pathways and potential active ingredients in these herbs. This large-scale transcriptional study innovatively combines HTS2 technology with bioinformatics methods and computer-aided drug design. For the first time, it systematically explores the molecular mechanism of TCM in regulating the COVID-19-related cytokine storm, providing an important scientific basis for elucidating the mechanism of action of TCM in treating COVID-19.
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影响因子:
4.1
作者:
Ren Y;Qiao W;Fu D;Han Z;Liu W;Ye W;Liu Z
通讯作者:
Liu Z
影响因子:
5.4
作者:
Shen, Yumeng;Zou, Junfeng;Duan, Jin-Ao
通讯作者:
Duan, Jin-Ao
影响因子:
3.7
作者:
de Jong PR;Schadenberg AW;van den Broek T;Beekman JM;van Wijk F;Coffer PJ;Prakken BJ;Jansen NJ
通讯作者:
Jansen NJ
DOI:
10.4314/ajtcam.v11i1.19
发表时间:
2014-01-01
影响因子:
--
作者:
Wang, Jiangning;Li, Xiaorong;Wang, Xueyan
通讯作者:
Wang, Xueyan
影响因子:
3.5
作者:
Hwang, Se-Hee;Choi, Yeong Gon;Lim, Sabina
通讯作者:
Lim, Sabina