Literature DB >> 34656075

Whole Body PBPK Modeling of Remdesivir and Its Metabolites to Aid in Estimating Active Metabolite Exposure in the Lung and Liver in Patients With Organ Dysfunction.

Jianghong Fan1, Yuching Yang1, Manuela Grimstein1, Xinyuan Zhang1, Eliford Kitabi1, Justin C Earp1, Vikram Arya2, Kellie S Reynolds2, Hao Zhu1, Yaning Wang1.   

Abstract

Remdesivir (RDV) is the first drug approved by the US Food and Drug Administration (FDA) for the treatment of coronavirus disease 2019 (COVID-19) in certain patients requiring hospitalization. As a nucleoside analogue prodrug, RDV undergoes intracellular multistep activation to form its pharmacologically active species, GS-443902, which is not detectable in the plasma. A question arises that whether the observed plasma exposure of RDV and its metabolites would correlate with or be informative about the exposure of GS-443902 in tissues. A whole body physiologically-based pharmacokinetic (PBPK) modeling and simulation approach was utilized to elucidate the disposition mechanism of RDV and its metabolites in the lungs and liver and explore the relationship between plasma and tissue pharmacokinetics (PK) of RDV and its metabolites in healthy subjects. In addition, the potential alteration of plasma and tissue PK of RDV and its metabolites in patients with organ dysfunction was explored. Our simulation results indicated that intracellular exposure of GS-443902 was decreased in the liver and increased in the lungs in subjects with hepatic impairment relative to the subjects with normal liver function. In subjects with severe renal impairment, the exposure of GS-443902 in the liver was slightly increased, whereas the lung exposure of GS-443902 was not impacted. These predictions along with the organ impairment study results may be used to support decision making regarding the RDV dosage adjustment in these patient subgroups. The modeling exercise illustrated the potential of whole body PBPK modeling to aid in decision making for nucleotide analogue prodrugs, particularly when the active metabolite exposure in the target tissues is not available. Published 2021. This article is a U.S. Government work and is in the public domain in the USA.

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Year:  2021        PMID: 34656075     DOI: 10.1002/cpt.2445

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  3 in total

Review 1.  Model-Informed Drug Development Approaches to Assist New Drug Development in the COVID-19 Pandemic.

Authors:  Ye Xiong; Jianghong Fan; Eliford Kitabi; Xinyuan Zhang; Youwei Bi; Manuela Grimstein; Yuching Yang; Justin C Earp; Nan Zheng; Jiang Liu; Yaning Wang; Hao Zhu
Journal:  Clin Pharmacol Ther       Date:  2021-12-04       Impact factor: 6.903

2.  A population pharmacokinetic model of remdesivir and its major metabolites based on published mean values from healthy subjects.

Authors:  Ahmed Abouellil; Muhammad Bilal; Max Taubert; Uwe Fuhr
Journal:  Naunyn Schmiedebergs Arch Pharmacol       Date:  2022-09-20       Impact factor: 3.195

3.  Prediction for optimal dosage of pazopanib under various clinical situations using physiologically based pharmacokinetic modeling.

Authors:  Chunnuan Wu; Bole Li; Shuai Meng; Linghui Qie; Jie Zhang; Guopeng Wang; Cong Cong Ren
Journal:  Front Pharmacol       Date:  2022-09-12       Impact factor: 5.988

  3 in total

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