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

• 作者: Cheng Cui Chunli Song Dongyang Liu Haiyan Li Jie Qiao Jing Lin Miao Zhang Ning Shen Shun Zhang Siqi Tu Ting Cai Valerie Sia Jie En Xiaoqiang Xiang Xueting Yao Zhe Hou
• 来源期刊: 药学学报（英文版）
• 年，卷（期）: 2020,（7）
• 所属期刊栏目: Original Articles
• 页码范围: 1216-1227
• 页数: 12页
• 语种: 英文

摘要

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 indepth 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.

作者信息

序号	姓名	单位	发文数	被引次数	H指数	G指数
1	Cheng Cui		1	0	0.0	0.0
2	Miao Zhang		1	0	0.0	0.0
3	Xueting Yao		1	0	0.0	0.0
4	Siqi Tu		1	0	0.0	0.0
5	Zhe Hou		1	0	0.0	0.0
6	Valerie Sia Jie En		1	0	0.0	0.0
7	Xiaoqiang Xiang		1	0	0.0	0.0
8	Jing Lin		1	0	0.0	0.0
9	Ting Cai		1	0	0.0	0.0
10	Ning Shen		1	0	0.0	0.0
11	Chunli Song		1	0	0.0	0.0
12	Jie Qiao		3	0	0.0	0.0
13	Shun Zhang		1	0	0.0	0.0
14	Haiyan Li		1	0	0.0	0.0
15	Dongyang Liu		1	0	0.0	0.0