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A dynamic pharmacometric framework defining the relationship between ivermectin exposure and mosquito lethality

Abstract:
Ivermectin is used in the treatment of several neglected tropical diseases. Studies have shown that it effectively kills anopheline mosquitoes. However, the relationship between the pharmacokinetic properties and mosquito-lethal effects have not been described quantitatively. Pharmacokinetic properties and mosquito-lethal effects associated with a single oral administration of ivermectin were evaluated in two healthy volunteer trials in Thailand. All data were pooled and analysed using nonlinear mixed-effect modelling. Ivermectin and metabolites were described by a parent-metabolite model. When co-administered with dihydroartemisinin-piperaquine, a reduced elimination clearance (41%) and a slower absorption (32%) of ivermectin was identified, resulting in higher exposures. Different peripheral volume of distributions of ivermectin in men and women were also observed (75% higher in females). Individual pharmacokinetic profiles were incorporated in a sigmoidal Emax model, which were used to quantify the relationship between ivermectin exposure and mosquito-lethal effects. The integrated models described successfully the observed mortality of both Anopheles dirus and An. minimus. The final models were used to illustrate the potential impact on vector-control associated with ivermectin administration. In conclusion, ivermectin and its metabolites showed effective mosquito-lethal effects. The developed pharmacometric framework could be a useful tool in the evaluation of ivermectin as a potential vector-control agent in malaria elimination campaigns.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1038/s41598-026-58918-9

Authors

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Institution:
University of Oxford
Role:
Author
ORCID:
0000-0002-5322-912X
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Role:
Author
ORCID:
0000-0002-4807-9681
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Role:
Author
ORCID:
0000-0002-1020-2760
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Role:
Author
ORCID:
0000-0001-8729-1442


Publisher:
Nature Research
Journal:
Scientific Reports More from this journal
Publication date:
2026-07-18
Acceptance date:
2026-06-17
DOI:
EISSN:
2045-2322
ISSN:
2045-2322


Language:
English
Keywords:
Pubs id:
2445864
Local pid:
pubs:2445864
Source identifiers:
W7169677245
Deposit date:
2026-07-21
ARK identifier:
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