High-throughput matrix screening identifies synergistic and antagonistic antimalarial drug combinations

高通量基质筛选确定了协同和拮抗抗疟药物组合

阅读:7
作者:Bryan T Mott, Richard T Eastman, Rajarshi Guha, Katy S Sherlach, Amila Siriwardana, Paul Shinn, Crystal McKnight, Sam Michael, Norinne Lacerda-Queiroz, Paresma R Patel, Pwint Khine, Hongmao Sun, Monica Kasbekar, Nima Aghdam, Shaun D Fontaine, Dongbo Liu, Tim Mierzwa, Lesley A Mathews-Griner, Marc Fe

Abstract

Drug resistance in Plasmodium parasites is a constant threat. Novel therapeutics, especially new drug combinations, must be identified at a faster rate. In response to the urgent need for new antimalarial drug combinations we screened a large collection of approved and investigational drugs, tested 13,910 drug pairs, and identified many promising antimalarial drug combinations. The activity of known antimalarial drug regimens was confirmed and a myriad of new classes of positively interacting drug pairings were discovered. Network and clustering analyses reinforced established mechanistic relationships for known drug combinations and identified several novel mechanistic hypotheses. From eleven screens comprising >4,600 combinations per parasite strain (including duplicates) we further investigated interactions between approved antimalarials, calcium homeostasis modulators, and inhibitors of phosphatidylinositide 3-kinases (PI3K) and the mammalian target of rapamycin (mTOR). These studies highlight important targets and pathways and provide promising leads for clinically actionable antimalarial therapy.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。