Publication: Evaluation and modeling of direct membrane-feeding assay with Plasmodium vivax to support development of transmission blocking vaccines
Issued Date
2020-12-01
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ISSN
20452322
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2-s2.0-85088654147
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Mahidol University
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SCOPUS
Bibliographic Citation
Scientific Reports. Vol.10, No.1 (2020)
Suggested Citation
Kazutoyo Miura, Bruce J. Swihart, Michael P. Fay, Chalermpon Kumpitak, Kirakorn Kiattibutr, Jetsumon Sattabongkot, Carole A. Long Evaluation and modeling of direct membrane-feeding assay with Plasmodium vivax to support development of transmission blocking vaccines. Scientific Reports. Vol.10, No.1 (2020). doi:10.1038/s41598-020-69513-x Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/58394
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Title
Evaluation and modeling of direct membrane-feeding assay with Plasmodium vivax to support development of transmission blocking vaccines
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Abstract
© 2020, The Author(s). Standard and direct membrane-feeding assays (SMFA and DMFA) are fundamental assays to evaluate efficacy of transmission-blocking intervention (TBI) candidates against Plasmodium falciparum and vivax. To compare different candidates precisely, it is crucial to understand the error range of measured activity, usually expressed as percent inhibition in either oocyst intensity (% transmission reducing activity, %TRA), or in prevalence of infected mosquitoes (% transmission blocking activity, %TBA). To this end, mathematical models have been proposed for P. falciparum SMFA (PfSMFA), but such study for DMFA is limited. In this study, we analyzed P. vivax DMFA (PvDMFA) data from 22,236 mosquitoes tested from 96 independent assays. While the two assays are quite different, a zero-inflated negative binomial (ZINB) model could reasonably explain the PvDMFA results, as it has for PfSMFA. Our simulation studies based on the ZINB model revealed it is better to report %TRA values with a proper error range, rather than observed %TBA both in SMFA and DMFA. Furthermore, the simulations help in designing a better assay and aid in estimating an error range of a %TRA value when the uncertainty is not reported. This study strongly supports future TBI development by providing a rational method to compare different candidates.