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利用恶性疟原虫雄配子抑制试验预测蚊虫喂食试验中抗疟化合物的传播阻断潜力。

Predicting transmission blocking potential of anti-malarial compounds in the Mosquito Feeding Assay using Plasmodium falciparum Male Gamete Inhibition Assay.

机构信息

Diseases of the Developing World (DDW), GlaxoSmithKline, Severo Ochoa 2, Tres Cantos, 28760, Madrid, Spain.

Biostatistics and Bioinformatics Unit, IMDEA Food Institute, CEI UAM+CSIC, Ctra Cantoblanco 8, 28049, Madrid, Spain.

出版信息

Sci Rep. 2018 May 17;8(1):7764. doi: 10.1038/s41598-018-26125-w.

Abstract

Plasmodium falciparum Standard Membrane Feeding Assay (PfSMFA) is the current gold standard mosquito based confirmatory transmission blocking (TrB) assay for human malaria. However, owing to its complexity only selected gametocytocidal molecules are progressed into SMFA. Predictive tools for evaluation of TrB behavior of compounds in SMFA would be extremely beneficial, but lack of substantially large data sets from many mosquito feeds preempts the ability to perform correlations between outcomes from in vitro assays and SMFA. Here, a total of 44 different anti-malarial compounds were screened for inhibitory effect on male gamete formation in exflagellation inhibition assay (EIA) and the same drug-treated parasites were fed to mosquitoes in SMFA. Regression analysis was performed between outcomes of the two assays and regression models were applied to a randomly selected validation set of four compounds indicating no overfitting and good predictive power. In addition, the pIC50 for 11 different compounds obtained in the EIA was also correlated with pIC50's in SMFA. Resulting regression models provided pIC50 predictions in SMFA with reasonably good accuracy thereby demonstrating the use of a simple in vitro assay to predict TrB of molecules in a complex mosquito based assay.

摘要

恶性疟原虫标准膜feeding assay(PfSMFA)是目前基于蚊子的人类疟疾确认传播阻断(TrB)assay 的金标准。然而,由于其复杂性,只有选定的配子细胞杀灭分子被推进到 SMFA 中。用于评估化合物在 SMFA 中的 TrB 行为的预测工具将是非常有益的,但由于来自许多蚊子喂养的数据集不够大,无法在体外 assay 和 SMFA 之间进行相关性。在这里,总共筛选了 44 种不同的抗疟化合物,以抑制体外鞭毛抑制 assay(EIA)中的雄性配子形成,并将相同药物处理的寄生虫喂给蚊子进行 SMFA。对两种 assay 的结果进行回归分析,并将回归模型应用于随机选择的四种化合物的验证集,表明没有过度拟合和良好的预测能力。此外,在 EIA 中获得的 11 种不同化合物的 pIC50 也与 SMFA 中的 pIC50 相关。得到的回归模型在 SMFA 中提供了 pIC50 的预测,具有相当好的准确性,从而证明了使用简单的体外 assay 来预测复杂的基于蚊子的 assay 中分子的 TrB。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c18e/5958111/4457c4db46b1/41598_2018_26125_Fig1_HTML.jpg

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