A human genome-wide loss-of-function screen identifies effective chikungunya antiviral drugs.
A human genome-wide loss-of-function screen identifies effective chikungunya antiviral drugs.
复制标题
人类全基因组的功能丧失屏幕可识别有效的chikungunya抗病毒药物。
DOI:
10.1038/ncomms11320
复制
发表时间:
2016-05-12
影响因子:
16.6
通讯作者:
Lecuit M
中科院分区:
文献类型:
--
作者:
Karlas A;Berre S;Couderc T;Varjak M;Braun P;Meyer M;Gangneux N;Karo-Astover L;Weege F;Raftery M;Schönrich G;Klemm U;Wurzlbauer A;Bracher F;Merits A;Meyer TF;Lecuit M
Chikungunya virus (CHIKV) is a globally spreading alphavirus against which there is no commercially available vaccine or therapy. Here we use a genome-wide siRNA screen to identify 156 proviral and 41 antiviral host factors affecting CHIKV replication. We analyse the cellular pathways in which human proviral genes are involved and identify druggable targets. Twenty-one small-molecule inhibitors, some of which are FDA approved, targeting six proviral factors or pathways, have high antiviral activity in vitro, with low toxicity. Three identified inhibitors have prophylactic antiviral effects in mouse models of chikungunya infection. Two of them, the calmodulin inhibitor pimozide and the fatty acid synthesis inhibitor TOFA, have a therapeutic effect in vivo when combined. These results demonstrate the value of loss-of-function screening and pathway analysis for the rational identification of small molecules with therapeutic potential and pave the way for the development of new, host-directed, antiviral agents. Chikungunya virus is a mosquito transmitted untreatable emergent pathogen that causes joint pain and fever. Here the authors perform a host genome-wide loss-of-function screen to identify targets for chikungunya antiviral drugs and validate hits using a mouse model of chikungunya infection.