Development of a Physiologically Based Pharmacokinetic Model for Hydroxychloroquine and Its Application in Dose Optimization in Specific COVID-19 Patients

In Feb 2020, we developed a physiologically-based pharmacokinetic (PBPK) model of hydroxychloroquine (HCQ) and integrated in vitro anti-viral effect to support dosing design of HCQ in the treatment of COVID-19 patients in China. This, along with emerging research and clinical findings, supported bro...

Full description

Bibliographic Details
Main Authors: Miao Zhang, Xueting Yao, Zhe Hou, Xuan Guo, Siqi Tu, Zihan Lei, Zhiheng Yu, Xuanlin Liu, Cheng Cui, Xijing Chen, Ning Shen, Chunli Song, Jie Qiao, Xiaoqiang Xiang, Haiyan Li, Dongyang Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-02-01
Series:Frontiers in Pharmacology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fphar.2020.585021/full
id doaj-7326eb28589e4d25b9188bbe43d1b44a
record_format Article
spelling doaj-7326eb28589e4d25b9188bbe43d1b44a2021-02-12T05:47:54ZengFrontiers Media S.A.Frontiers in Pharmacology1663-98122021-02-011110.3389/fphar.2020.585021585021Development of a Physiologically Based Pharmacokinetic Model for Hydroxychloroquine and Its Application in Dose Optimization in Specific COVID-19 PatientsMiao Zhang0Miao Zhang1Xueting Yao2Zhe Hou3Xuan Guo4Siqi Tu5Zihan Lei6Zhiheng Yu7Xuanlin Liu8Cheng Cui9Xijing Chen10Ning Shen11Chunli Song12Jie Qiao13Xiaoqiang Xiang14Haiyan Li15Haiyan Li16Dongyang Liu17Drug Clinical Trial Center, Peking University Third Hospital, Beijing, ChinaSchool of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, ChinaDrug Clinical Trial Center, Peking University Third Hospital, Beijing, ChinaDrug Clinical Trial Center, Peking University Third Hospital, Beijing, ChinaDrug Clinical Trial Center, Peking University Third Hospital, Beijing, ChinaDrug Clinical Trial Center, Peking University Third Hospital, Beijing, ChinaDrug Clinical Trial Center, Peking University Third Hospital, Beijing, ChinaDrug Clinical Trial Center, Peking University Third Hospital, Beijing, ChinaDrug Clinical Trial Center, Peking University Third Hospital, Beijing, ChinaDrug Clinical Trial Center, Peking University Third Hospital, Beijing, ChinaSchool of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, ChinaDepartment of Respiratory, Peking University Third Hospital, Beijing, ChinaDepartment of Orthopedics, Peking University Third Hospital, Beijing, ChinaDepartment of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, ChinaDepartment of Clinical Pharmacy, School of Pharmacy, Fudan University, Shanghai, ChinaDrug Clinical Trial Center, Peking University Third Hospital, Beijing, ChinaDepartment of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital, Beijing, ChinaDrug Clinical Trial Center, Peking University Third Hospital, Beijing, ChinaIn Feb 2020, we developed a physiologically-based pharmacokinetic (PBPK) model of hydroxychloroquine (HCQ) and integrated in vitro anti-viral effect to support dosing design of HCQ in the treatment of COVID-19 patients in China. This, along with emerging research and clinical findings, supported broader uptake of HCQ as a potential treatment for COVID-19 globally at the beginning of the pandemics. Therefore, many COVID-19 patients have been or will be exposed to HCQ, including specific populations with underlying intrinsic and/or extrinsic characteristics that may affect the disposition and drug actions of HCQ. It is critical to update our PBPK model of HCQ with adequate drug absorption and disposition mechanisms to support optimal dosing of HCQ in these specific populations. We conducted relevant in vitro and in vivo experiments to support HCQ PBPK model update. Different aspects of this model are validated using PK study from 11 published references. With parameterization informed by results from monkeys, a permeability-limited lung model is employed to describe HCQ distribution in the lung tissues. The updated model is applied to optimize HCQ dosing regimens for specific populations, including those taking concomitant medications. In order to meet predefined HCQ exposure target, HCQ dose may need to be reduced in young children, elderly subjects with organ impairment and/or coadministration with a strong CYP2C8/CYP2D6/CYP3A4 inhibitor, and be increased in pregnant women. The updated HCQ PBPK model informed by new metabolism and distribution data can be used to effectively support dosing recommendations for clinical trials in specific COVID-19 patients and treatment of patients with malaria or autoimmune diseases.https://www.frontiersin.org/articles/10.3389/fphar.2020.585021/fullhydroxychloroquinephysiologically-based pharmacokineticdrug-drug interactionspecific populationsdosing recommendation
collection DOAJ
language English
format Article
sources DOAJ
author Miao Zhang
Miao Zhang
Xueting Yao
Zhe Hou
Xuan Guo
Siqi Tu
Zihan Lei
Zhiheng Yu
Xuanlin Liu
Cheng Cui
Xijing Chen
Ning Shen
Chunli Song
Jie Qiao
Xiaoqiang Xiang
Haiyan Li
Haiyan Li
Dongyang Liu
spellingShingle Miao Zhang
Miao Zhang
Xueting Yao
Zhe Hou
Xuan Guo
Siqi Tu
Zihan Lei
Zhiheng Yu
Xuanlin Liu
Cheng Cui
Xijing Chen
Ning Shen
Chunli Song
Jie Qiao
Xiaoqiang Xiang
Haiyan Li
Haiyan Li
Dongyang Liu
Development of a Physiologically Based Pharmacokinetic Model for Hydroxychloroquine and Its Application in Dose Optimization in Specific COVID-19 Patients
Frontiers in Pharmacology
hydroxychloroquine
physiologically-based pharmacokinetic
drug-drug interaction
specific populations
dosing recommendation
author_facet Miao Zhang
Miao Zhang
Xueting Yao
Zhe Hou
Xuan Guo
Siqi Tu
Zihan Lei
Zhiheng Yu
Xuanlin Liu
Cheng Cui
Xijing Chen
Ning Shen
Chunli Song
Jie Qiao
Xiaoqiang Xiang
Haiyan Li
Haiyan Li
Dongyang Liu
author_sort Miao Zhang
title Development of a Physiologically Based Pharmacokinetic Model for Hydroxychloroquine and Its Application in Dose Optimization in Specific COVID-19 Patients
title_short Development of a Physiologically Based Pharmacokinetic Model for Hydroxychloroquine and Its Application in Dose Optimization in Specific COVID-19 Patients
title_full Development of a Physiologically Based Pharmacokinetic Model for Hydroxychloroquine and Its Application in Dose Optimization in Specific COVID-19 Patients
title_fullStr Development of a Physiologically Based Pharmacokinetic Model for Hydroxychloroquine and Its Application in Dose Optimization in Specific COVID-19 Patients
title_full_unstemmed Development of a Physiologically Based Pharmacokinetic Model for Hydroxychloroquine and Its Application in Dose Optimization in Specific COVID-19 Patients
title_sort development of a physiologically based pharmacokinetic model for hydroxychloroquine and its application in dose optimization in specific covid-19 patients
publisher Frontiers Media S.A.
series Frontiers in Pharmacology
issn 1663-9812
publishDate 2021-02-01
description In Feb 2020, we developed a physiologically-based pharmacokinetic (PBPK) model of hydroxychloroquine (HCQ) and integrated in vitro anti-viral effect to support dosing design of HCQ in the treatment of COVID-19 patients in China. This, along with emerging research and clinical findings, supported broader uptake of HCQ as a potential treatment for COVID-19 globally at the beginning of the pandemics. Therefore, many COVID-19 patients have been or will be exposed to HCQ, including specific populations with underlying intrinsic and/or extrinsic characteristics that may affect the disposition and drug actions of HCQ. It is critical to update our PBPK model of HCQ with adequate drug absorption and disposition mechanisms to support optimal dosing of HCQ in these specific populations. We conducted relevant in vitro and in vivo experiments to support HCQ PBPK model update. Different aspects of this model are validated using PK study from 11 published references. With parameterization informed by results from monkeys, a permeability-limited lung model is employed to describe HCQ distribution in the lung tissues. The updated model is applied to optimize HCQ dosing regimens for specific populations, including those taking concomitant medications. In order to meet predefined HCQ exposure target, HCQ dose may need to be reduced in young children, elderly subjects with organ impairment and/or coadministration with a strong CYP2C8/CYP2D6/CYP3A4 inhibitor, and be increased in pregnant women. The updated HCQ PBPK model informed by new metabolism and distribution data can be used to effectively support dosing recommendations for clinical trials in specific COVID-19 patients and treatment of patients with malaria or autoimmune diseases.
topic hydroxychloroquine
physiologically-based pharmacokinetic
drug-drug interaction
specific populations
dosing recommendation
url https://www.frontiersin.org/articles/10.3389/fphar.2020.585021/full
work_keys_str_mv AT miaozhang developmentofaphysiologicallybasedpharmacokineticmodelforhydroxychloroquineanditsapplicationindoseoptimizationinspecificcovid19patients
AT miaozhang developmentofaphysiologicallybasedpharmacokineticmodelforhydroxychloroquineanditsapplicationindoseoptimizationinspecificcovid19patients
AT xuetingyao developmentofaphysiologicallybasedpharmacokineticmodelforhydroxychloroquineanditsapplicationindoseoptimizationinspecificcovid19patients
AT zhehou developmentofaphysiologicallybasedpharmacokineticmodelforhydroxychloroquineanditsapplicationindoseoptimizationinspecificcovid19patients
AT xuanguo developmentofaphysiologicallybasedpharmacokineticmodelforhydroxychloroquineanditsapplicationindoseoptimizationinspecificcovid19patients
AT siqitu developmentofaphysiologicallybasedpharmacokineticmodelforhydroxychloroquineanditsapplicationindoseoptimizationinspecificcovid19patients
AT zihanlei developmentofaphysiologicallybasedpharmacokineticmodelforhydroxychloroquineanditsapplicationindoseoptimizationinspecificcovid19patients
AT zhihengyu developmentofaphysiologicallybasedpharmacokineticmodelforhydroxychloroquineanditsapplicationindoseoptimizationinspecificcovid19patients
AT xuanlinliu developmentofaphysiologicallybasedpharmacokineticmodelforhydroxychloroquineanditsapplicationindoseoptimizationinspecificcovid19patients
AT chengcui developmentofaphysiologicallybasedpharmacokineticmodelforhydroxychloroquineanditsapplicationindoseoptimizationinspecificcovid19patients
AT xijingchen developmentofaphysiologicallybasedpharmacokineticmodelforhydroxychloroquineanditsapplicationindoseoptimizationinspecificcovid19patients
AT ningshen developmentofaphysiologicallybasedpharmacokineticmodelforhydroxychloroquineanditsapplicationindoseoptimizationinspecificcovid19patients
AT chunlisong developmentofaphysiologicallybasedpharmacokineticmodelforhydroxychloroquineanditsapplicationindoseoptimizationinspecificcovid19patients
AT jieqiao developmentofaphysiologicallybasedpharmacokineticmodelforhydroxychloroquineanditsapplicationindoseoptimizationinspecificcovid19patients
AT xiaoqiangxiang developmentofaphysiologicallybasedpharmacokineticmodelforhydroxychloroquineanditsapplicationindoseoptimizationinspecificcovid19patients
AT haiyanli developmentofaphysiologicallybasedpharmacokineticmodelforhydroxychloroquineanditsapplicationindoseoptimizationinspecificcovid19patients
AT haiyanli developmentofaphysiologicallybasedpharmacokineticmodelforhydroxychloroquineanditsapplicationindoseoptimizationinspecificcovid19patients
AT dongyangliu developmentofaphysiologicallybasedpharmacokineticmodelforhydroxychloroquineanditsapplicationindoseoptimizationinspecificcovid19patients
_version_ 1724273671204241408