TY - JOUR
T1 - Propensity of selecting mutant parasites for the antimalarial drug cabamiquine
AU - Stadler, Eva
AU - Maiga, Mohamed
AU - Friedrich, Lukas
AU - Thathy, Vandana
AU - Demarta-Gatsi, Claudia
AU - Dara, Antoine
AU - Sogore, Fanta
AU - Striepen, Josefine
AU - Oeuvray, Claude
AU - Djimdé, Abdoulaye A.
AU - Lee, Marcus C. S.
AU - Dembélé, Laurent
AU - Fidock, David A.
AU - Khoury, David S.
AU - Spangenberg, Thomas
N1 - Funding Information:
Partial funding from Merck KGaA, Darmstadt, Germany is gratefully acknowledged. D.A.F. acknowledges partial funding from Medicines for Malaria Venture (RD-08-0015), the Bill & Melinda Gates Foundation (INV —033538), and Merck KGaA, Darmstadt, Germany.
Copyright:
© 2023. Springer Nature Limited.
PY - 2023/8/25
Y1 - 2023/8/25
N2 - 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.
AB - 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.
KW - Animals
KW - Mice
KW - Antimalarials/pharmacology
KW - Parasites
KW - Amino Acids
KW - Binding Sites
KW - Disease Models, Animal
UR - http://www.scopus.com/inward/record.url?scp=85168718243&partnerID=8YFLogxK
U2 - 10.1038/s41467-023-40974-8
DO - 10.1038/s41467-023-40974-8
M3 - Article
C2 - 37626093
SN - 2041-1723
VL - 14
JO - Nature Communications
JF - Nature Communications
M1 - 5205
ER -