Abstract

We report an analysis of the propensity of the antimalarial agent cabamiquine, a Plasmodium-specific eukaryotic elongation factor 2 inhibitor, to select for resistant Plasmodium falciparum parasites. Through in vitro studies of laboratory strains and clinical isolates, a humanized mouse model, and volunteer infection studies, we identified resistance-associated mutations at 11 amino acid positions. Of these, six (55%) were present in more than one infection model, indicating translatability across models. Mathematical modelling suggested that resistant mutants were likely pre-existent at the time of drug exposure across studies. Here, we estimated a wide range of frequencies of resistant mutants across the different infection models, much of which can be attributed to stochastic differences resulting from experimental design choices. Structural modelling implicates binding of cabamiquine to a shallow mRNA binding site adjacent to two of the most frequently identified resistance mutations.

Authors utilize a number of models (mathematical, in vitro and in vivo infection) to analyse pre-clinical and Phase I clinical trial data, in regard to potential risk of resistance associated with a Plasmodium falciparum inhibitor, cabamiquine.

Details

Title
Propensity of selecting mutant parasites for the antimalarial drug cabamiquine
Author
Stadler, Eva 1   VIAFID ORCID Logo  ; Maiga, Mohamed 2   VIAFID ORCID Logo  ; Friedrich, Lukas 3 ; Thathy, Vandana 4 ; Demarta-Gatsi, Claudia 5   VIAFID ORCID Logo  ; Dara, Antoine 2   VIAFID ORCID Logo  ; Sogore, Fanta 2 ; Striepen, Josefine 6   VIAFID ORCID Logo  ; Oeuvray, Claude 7 ; Djimdé, Abdoulaye A. 2   VIAFID ORCID Logo  ; Lee, Marcus C. S. 8   VIAFID ORCID Logo  ; Dembélé, Laurent 2 ; Fidock, David A. 9   VIAFID ORCID Logo  ; Khoury, David S. 1   VIAFID ORCID Logo  ; Spangenberg, Thomas 10   VIAFID ORCID Logo 

 UNSW Sydney, The Kirby Institute, Kensington, Australia (GRID:grid.1005.4) (ISNI:0000 0004 4902 0432) 
 Université des Sciences, des Techniques et des Technologies de Bamako (USTTB), Faculté de Pharmacie, Malaria Research and Training Center (MRTC), Point G, Bamako, Mali (GRID:grid.461088.3) (ISNI:0000 0004 0567 336X) 
 Medicinal Chemistry & Drug Design Global Research & Development, Discovery Technologies, Merck Healthcare, Darmstadt, Germany (GRID:grid.39009.33) (ISNI:0000 0001 0672 7022) 
 Columbia University Irving Medical Center, Department of Microbiology and Immunology, New York, USA (GRID:grid.239585.0) (ISNI:0000 0001 2285 2675); Columbia University Irving Medical Center, Center for Malaria Therapeutics and Antimicrobial Resistance, New York, USA (GRID:grid.239585.0) (ISNI:0000 0001 2285 2675) 
 Global Health Institute of Merck, Eysins, Switzerland (GRID:grid.239585.0) 
 Columbia University Irving Medical Center, Department of Microbiology and Immunology, New York, USA (GRID:grid.239585.0) (ISNI:0000 0001 2285 2675); Weill Cornell Medical College, New York, USA (GRID:grid.5386.8) (ISNI:000000041936877X) 
 Global Health Institute of Merck, Eysins, Switzerland (GRID:grid.5386.8) 
 Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK (GRID:grid.10306.34) (ISNI:0000 0004 0606 5382); School of Life Sciences, University of Dundee, Biological Chemistry and Drug Discovery, Scotland, UK (GRID:grid.8241.f) (ISNI:0000 0004 0397 2876) 
 Columbia University Irving Medical Center, Department of Microbiology and Immunology, New York, USA (GRID:grid.239585.0) (ISNI:0000 0001 2285 2675); Columbia University Irving Medical Center, Center for Malaria Therapeutics and Antimicrobial Resistance, New York, USA (GRID:grid.239585.0) (ISNI:0000 0001 2285 2675); Columbia University Irving Medical Center, Division of Infectious Diseases, Department of Medicine, New York, USA (GRID:grid.239585.0) (ISNI:0000 0001 2285 2675) 
10  Global Health Institute of Merck, Eysins, Switzerland (GRID:grid.1005.4) 
Pages
5205
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2857176019
Copyright
© The Author(s) 2023. corrected publication 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.