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

Olafuyi, Olusola and Badhan, Raj K.s. (2018). Dose Optimization of Chloroquine by Pharmacokinetic Modeling During Pregnancy for the Treatment of Zika Virus Infection. Journal of Pharmaceutical Sciences ,

Abstract

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: https://doi.org/10.1016/j.xphs.2018.10.056
Divisions: Life & Health Sciences > Pharmacy
Life & Health Sciences > Applied Health Research Group
Life & Health Sciences
Additional Information: © 2018, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Uncontrolled Keywords: Physiologically-based pharmacokinetics,Zika,malaria,pregnancy
Full Text Link:
Related URLs: https://linking ... 022354918306890 (Publisher URL)
Published Online Date: 2018-11-03
Authors: Olafuyi, Olusola
Badhan, Raj K.s. ( 0000-0002-0904-9324)

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Version: Accepted Version

Access Restriction: Restricted to Repository staff only until 3 November 2019.

License: Creative Commons Attribution Non-commercial No Derivatives


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