High-content approaches to anthelmintic drug screening.

High-content approaches to anthelmintic drug screening.
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驱虫药筛选的高含量方法。

DOI:
10.1016/j.pt.2021.05.004
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发表时间:
2021-09
影响因子:
9.6
通讯作者:
Chan JD
Chan JD
中科院分区:
医学1区
文献类型:
--
作者:
Zamanian M;Chan JD

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大多数驱虫药是通过使用感染动物模型的体内筛选发现的。开发寄生蠕虫的体外测定提出了几个挑战。缺乏体外生命周期培养方案需要从脊椎动物宿主或载体中收获蠕虫,限制了测定通量。一旦从宿主环境中去除蠕虫,已建立的驱虫剂通常没有显示出明显的表型,这引起了对许多体外测定的预测价值的关注。然而,随着最近在了解驱虫剂如何破坏宿主-寄生虫相互作用方面的进展以及高内容成像和机器学习方面的突破,体外测定有可能识别微妙的隐蔽寄生虫表型。这些可能证明比常规体外活力测定更好的终点。
Most anthelmintics were discovered through in vivo screens using animal models of infection. Developing in vitro assays for parasitic worms presents several challenges. The lack of in vitro life cycle culture protocols requires harvesting worms from vertebrate hosts or vectors, limiting assay throughput. Once worms are removed from the host environment, established anthelmintics often show no obvious phenotype - raising concerns about the predictive value of many in vitro assays. However, with recent progress in understanding how anthelmintics subvert host-parasite interactions and breakthroughs in high-content imaging and machine learning, in vitro assays have the potential to discern subtle cryptic parasite phenotypes. These may prove better endpoints than conventional in vitro viability assays.
DOI: 10.1038/s41573-020-00117-w
发表时间: 2021-03
期刊: Nature reviews. Drug discovery
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