Literature DB >> 30928308

Prediction of Ticagrelor and its Active Metabolite in Liver Cirrhosis Populations Using a Physiologically Based Pharmacokinetic Model Involving Pharmacodynamics.

Min Zhang1, Xiang You1, Meng Ke1, Zheng Jiao2, Hongwei Wu3, Pinfang Huang1, Cuihong Lin4.   

Abstract

Ticagrelor, a P2Y12 receptor antagonist, has been highly recommended for use in acute coronary syndrome. The major active metabolite (AM) is similar to the parent drug, which exhibits antiplatelet activity. The inhibition of platelet aggregation (IPA) is used as an assay to demonstrate the anticoagulant efficacy of ticagrelor. In this study, we developed a physiologically based pharmacokinetic (PBPK) model to predict the pharmacokinetics of ticagrelor and its AM and combined this model with a pharmacodynamics model to reflect potential pharmacodynamic alterations in liver cirrhosis populations. The simulated results obtained using the PBPK model were validated by fold error values, which were all smaller than 2. Comparisons of exposure in different classifications of liver cirrhosis indicated that exposure to ticagrelor increased significantly with an increase in the degree of cirrhosis severity, whereas exposure to AM was decreased. The total concentration of ticagrelor and AM was related to the IPA included in the Sigmoid Emax model. The PBPK model of ticagrelor and AM could predict the pharmacokinetics of all populations, and a combination of PD models was used to extrapolate for predicting unknown scenarios. Liver cirrhosis may result in prolonged IPA, depending on the severity degree of this disease. The combined PBPK model including IPA can reveal changes in pharmacokinetics and pharmacodynamics in populations affected by liver cirrhosis and indicate the risk potential.
Copyright © 2019. Published by Elsevier Inc.

Entities:  

Keywords:  active metabolite; inhibition of platelet aggregation; liver cirrhosis populations; physiologically based pharmacokinetic model; ticagrelor

Year:  2019        PMID: 30928308     DOI: 10.1016/j.xphs.2019.03.028

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  7 in total

Review 1.  Management of Acute Coronary Syndrome in Patients with Liver Cirrhosis.

Authors:  Taha Ahmed; Alla Y Grigorian; Adrian W Messerli
Journal:  Am J Cardiovasc Drugs       Date:  2021-05-29       Impact factor: 3.571

2.  Development and Evaluation of a Physiologically Based Pharmacokinetic Drug-Disease Model of Propranolol for Suggesting Model Informed Dosing in Liver Cirrhosis Patients.

Authors:  Muhammad Nasir Kalam; Muhammad Fawad Rasool; Faleh Alqahtani; Imran Imran; Asim Ur Rehman; Naveed Ahmed
Journal:  Drug Des Devel Ther       Date:  2021-03-17       Impact factor: 4.162

3.  Assessment of cytochrome P450 3A4-mediated drug-drug interactions for ipatasertib using a fit-for-purpose physiologically based pharmacokinetic model.

Authors:  Jing Jing; Yuan Chen; Luna Musib; Jin Y Jin; Kit Wun Kathy Cheung; Kenta Yoshida; Rucha Sane
Journal:  Cancer Chemother Pharmacol       Date:  2022-04-15       Impact factor: 3.288

Review 4.  Ischemic Heart Disease and Liver Cirrhosis: Adding Insult to Injury.

Authors:  Irina Gîrleanu; Anca Trifan; Laura Huiban; Cristina Muzîca; Oana Cristina Petrea; Ana Maria Sîngeap; Camelia Cojocariu; Stefan Chiriac; Tudor Cuciureanu; Irina Iuliana Costache; Carol Stanciu
Journal:  Life (Basel)       Date:  2022-07-12

5.  Physiologically based pharmacokinetic modeling of daptomycin dose optimization in pediatric patients with renal impairment.

Authors:  Lingling Ye; Xiang You; Jie Zhou; Chaohui Wu; Meng Ke; Wanhong Wu; Pinfang Huang; Cuihong Lin
Journal:  Front Pharmacol       Date:  2022-08-16       Impact factor: 5.988

6.  Pharmacokinetic Modeling of Morphine's Effect on Plasma Concentrations of Ticagrelor and Its Metabolite in Healthy Volunteers.

Authors:  Katarzyna Buszko; Krystian Kubica; Eva-Luise Hobl; Piotr Adamski; Kacper Wnuk; Bernd Jilma; Jacek Kubica
Journal:  Front Physiol       Date:  2021-06-24       Impact factor: 4.566

7.  Predicted effect of ticagrelor on the pharmacokinetics of dabigatran etexilate using physiologically based pharmacokinetic modeling.

Authors:  Nan Wang; Lu Chen; Na Li; Gaoqi Xu; Fang Qi; Liqin Zhu; Wensheng Liu
Journal:  Sci Rep       Date:  2020-06-16       Impact factor: 4.379

  7 in total

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