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Dose selection of chloroquine phosphate for treatment of COVID-19 based on a physiologically based pharmacokinetic model

Chloroquine (CQ) phosphate has been suggested to be clinically effective in the treatment of coronavirus disease 2019 (COVID-19). To develop a physiologically-based pharmacokinetic (PBPK) model for predicting tissue distribution of CQ and apply it to optimize dosage regimens, a PBPK model, with para...

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Autores principales: Cui, Cheng, Zhang, Miao, Yao, Xueting, Tu, Siqi, Hou, Zhe, Jie En, Valerie Sia, Xiang, Xiaoqiang, Lin, Jing, Cai, Ting, Shen, Ning, Song, Chunli, Qiao, Jie, Zhang, Shun, Li, Haiyan, Liu, Dongyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7252145/
https://www.ncbi.nlm.nih.gov/pubmed/32834950
http://dx.doi.org/10.1016/j.apsb.2020.04.007
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author Cui, Cheng
Zhang, Miao
Yao, Xueting
Tu, Siqi
Hou, Zhe
Jie En, Valerie Sia
Xiang, Xiaoqiang
Lin, Jing
Cai, Ting
Shen, Ning
Song, Chunli
Qiao, Jie
Zhang, Shun
Li, Haiyan
Liu, Dongyang
author_facet Cui, Cheng
Zhang, Miao
Yao, Xueting
Tu, Siqi
Hou, Zhe
Jie En, Valerie Sia
Xiang, Xiaoqiang
Lin, Jing
Cai, Ting
Shen, Ning
Song, Chunli
Qiao, Jie
Zhang, Shun
Li, Haiyan
Liu, Dongyang
author_sort Cui, Cheng
collection PubMed
description Chloroquine (CQ) phosphate has been suggested to be clinically effective in the treatment of coronavirus disease 2019 (COVID-19). To develop a physiologically-based pharmacokinetic (PBPK) model for predicting tissue distribution of CQ and apply it to optimize dosage regimens, a PBPK model, with parameterization of drug distribution extrapolated from animal data, was developed to predict human tissue distribution of CQ. The physiological characteristics of time-dependent accumulation was mimicked through an active transport mechanism. Several dosing regimens were proposed based on PBPK simulation combined with known clinical exposure–response relationships. The model was also validated by clinical data from Chinese patients with COVID-19. The novel PBPK model allows in-depth description of the pharmacokinetics of CQ in several key organs (lung, heart, liver, and kidney), and was applied to design dosing strategies in patients with acute COVID-19 (Day 1: 750 mg BID, Days 2–5: 500 mg BID, CQ phosphate), patients with moderate COVID-19 (Day 1: 750 mg and 500 mg, Days 2–3: 500 mg BID, Days 4–5: 250 mg BID, CQ phosphate), and other vulnerable populations (e.g., renal and hepatic impairment and elderly patients, Days 1–5: 250 mg BID, CQ phosphate). A PBPK model of CQ was successfully developed to optimize dosage regimens for patients with COVID-19.
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spelling pubmed-72521452020-05-28 Dose selection of chloroquine phosphate for treatment of COVID-19 based on a physiologically based pharmacokinetic model Cui, Cheng Zhang, Miao Yao, Xueting Tu, Siqi Hou, Zhe Jie En, Valerie Sia Xiang, Xiaoqiang Lin, Jing Cai, Ting Shen, Ning Song, Chunli Qiao, Jie Zhang, Shun Li, Haiyan Liu, Dongyang Acta Pharm Sin B Original article Chloroquine (CQ) phosphate has been suggested to be clinically effective in the treatment of coronavirus disease 2019 (COVID-19). To develop a physiologically-based pharmacokinetic (PBPK) model for predicting tissue distribution of CQ and apply it to optimize dosage regimens, a PBPK model, with parameterization of drug distribution extrapolated from animal data, was developed to predict human tissue distribution of CQ. The physiological characteristics of time-dependent accumulation was mimicked through an active transport mechanism. Several dosing regimens were proposed based on PBPK simulation combined with known clinical exposure–response relationships. The model was also validated by clinical data from Chinese patients with COVID-19. The novel PBPK model allows in-depth description of the pharmacokinetics of CQ in several key organs (lung, heart, liver, and kidney), and was applied to design dosing strategies in patients with acute COVID-19 (Day 1: 750 mg BID, Days 2–5: 500 mg BID, CQ phosphate), patients with moderate COVID-19 (Day 1: 750 mg and 500 mg, Days 2–3: 500 mg BID, Days 4–5: 250 mg BID, CQ phosphate), and other vulnerable populations (e.g., renal and hepatic impairment and elderly patients, Days 1–5: 250 mg BID, CQ phosphate). A PBPK model of CQ was successfully developed to optimize dosage regimens for patients with COVID-19. Elsevier 2020-07 2020-04-20 /pmc/articles/PMC7252145/ /pubmed/32834950 http://dx.doi.org/10.1016/j.apsb.2020.04.007 Text en © 2020 Chinese Pharmaceutical Association and Institute of Materia Medica, Chinese Academy of Medical Sciences. Production and hosting by Elsevier B.V. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original article
Cui, Cheng
Zhang, Miao
Yao, Xueting
Tu, Siqi
Hou, Zhe
Jie En, Valerie Sia
Xiang, Xiaoqiang
Lin, Jing
Cai, Ting
Shen, Ning
Song, Chunli
Qiao, Jie
Zhang, Shun
Li, Haiyan
Liu, Dongyang
Dose selection of chloroquine phosphate for treatment of COVID-19 based on a physiologically based pharmacokinetic model
title Dose selection of chloroquine phosphate for treatment of COVID-19 based on a physiologically based pharmacokinetic model
title_full Dose selection of chloroquine phosphate for treatment of COVID-19 based on a physiologically based pharmacokinetic model
title_fullStr Dose selection of chloroquine phosphate for treatment of COVID-19 based on a physiologically based pharmacokinetic model
title_full_unstemmed Dose selection of chloroquine phosphate for treatment of COVID-19 based on a physiologically based pharmacokinetic model
title_short Dose selection of chloroquine phosphate for treatment of COVID-19 based on a physiologically based pharmacokinetic model
title_sort dose selection of chloroquine phosphate for treatment of covid-19 based on a physiologically based pharmacokinetic model
topic Original article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7252145/
https://www.ncbi.nlm.nih.gov/pubmed/32834950
http://dx.doi.org/10.1016/j.apsb.2020.04.007
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