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The Parasite Reduction Ratio (PRR) Assay Version 2: Standardized Assessment of Plasmodium falciparum Viability after Antimalarial Treatment In Vitro

  • Annabelle Walz
  • , Maëlle Duffey
  • , Ghaith Aljayyoussi
  • , Sibylle Sax
  • , Didier Leroy
  • , Dominique Besson
  • , Jeremy N. Burrows
  • , Mohammed H. Cherkaoui-Rbati
  • , Nathalie Gobeau
  • , Marie Anne Westwood
  • , Christoph Siethoff
  • , Francisco Javier Gamo
  • , Pascal Mäser
  • , Sergio Wittlin
  • Swiss TPH
  • University of Basel
  • Medicines for Malaria Venture
  • Swiss BioQuant
  • GlaxoSmithKline

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)

Abstract

With artemisinin-resistant Plasmodium falciparum parasites emerging in Africa, the need for new antimalarial chemotypes is persistently high. The ideal pharmacodynamic parameters of a candidate drug are a rapid onset of action and a fast rate of parasite killing or clearance. To determine these parameters, it is essential to discriminate viable from nonviable parasites, which is complicated by the fact that viable parasites can be metabolically inactive, whilst dying parasites can still be metabolically active and morphologically unaffected. Standard growth inhibition assays, read out via microscopy or [3H] hypoxanthine incorporation, cannot reliably discriminate between viable and nonviable parasites. Conversely, the in vitro parasite reduction ratio (PRR) assay is able to measure viable parasites with high sensitivity. It provides valuable pharmacodynamic parameters, such as PRR, 99.9% parasite clearance time (PCT99.9%) and lag phase. Here we report the development of the PRR assay version 2 (V2), which comes with a shorter assay duration, optimized quality controls and an objective, automated analysis pipeline that systematically estimates PRR, PCT99.9% and lag time and returns meaningful secondary parameters such as the maximal killing rate of a drug (Emax) at the assayed concentration. These parameters can be fed directly into pharmacokinetic/pharmacodynamic models, hence aiding and standardizing lead selection, optimization, and dose prediction.

Original languageEnglish
Article number163
Pages (from-to)e163
JournalPharmaceuticals
Volume16
Issue number2
Early online date23 Jan 2023
DOIs
Publication statusPublished - 23 Jan 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • E
  • lag phase
  • limiting dilution
  • malaria
  • parasite reduction ratio
  • parasite viability
  • PCT
  • pharmacodynamics
  • Plasmodium falciparum
  • PRR

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