Dose Optimization of Chloroquine by Pharmacokinetic Modeling During Pregnancy for the Treatment of Zika Virus Infection


The insidious nature of Zika virus (ZIKV) infections can have a devastating consequence for foetal development. Recent reports have highlighted that chloroquine (CQ) is capable of inhibiting ZIKV endocytosis in brain cells. We applied pharmacokinetic modelling to develop a predictive model for CQ exposure to identify an optimal maternal/foetal dosing regimen to prevent ZIKV endocytosis in brain cells. Model validation utilised 13 non-pregnancy and 3 pregnancy clinical studies and a therapeutic CQ plasma window of 0.3-2 μM was derived. Dosing regimens used in rheumatoid arthritis, systemic lupus erythematosus and malaria were assessed for their ability to target this window. Dosing regimen identified that weekly doses used in malaria were not sufficient to reach the lower therapeutic window, however daily doses of 150 mg achieved this therapeutic window. The impact of gestational age was further assessed and culminated in a final proposed regimen of 600 mg on day 1, 300 mg on day 2 and 3 and 150 mg thereafter until the end of trimester 2, which resulted in maintaining 65 % and 94 % of subjects with a trough plasma concentration above the lower therapeutic window on day 6 and at term, respectively.

Publication DOI:
Divisions: College of Health & Life Sciences > Aston Pharmacy School
College of Health & Life Sciences > Applied Health Research Group
College of Health & Life Sciences
College of Health & Life Sciences > Chronic and Communicable Conditions
Additional Information: © 2018, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Uncontrolled Keywords: Physiologically-based pharmacokinetics,Zika,malaria,pregnancy
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Related URLs: https://linking ... 022354918306890 (Publisher URL)
PURE Output Type: Article
Published Date: 2019-01-01
Published Online Date: 2018-11-03
Accepted Date: 2018-10-30
Authors: Olafuyi, Olusola
Badhan, Raj K.s. (ORCID Profile 0000-0002-0904-9324)

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