Physiologically-Based Pharmacokinetic Modeling Approach to Predict Rifampin-Mediated Intestinal P-Glycoprotein Induction.
Autor: | Yamazaki S; Pharmacokinetics, Dynamics and Metabolism, Pfizer Worldwide Research & Development, San Diego, California, USA., Costales C; Pharmacokinetics, Dynamics and Metabolism, Pfizer Worldwide Research & Development, Groton, Connecticut, USA., Lazzaro S; Pharmacokinetics, Dynamics and Metabolism, Pfizer Worldwide Research & Development, Groton, Connecticut, USA., Eatemadpour S; Pharmacokinetics, Dynamics and Metabolism, Pfizer Worldwide Research & Development, Groton, Connecticut, USA., Kimoto E; Pharmacokinetics, Dynamics and Metabolism, Pfizer Worldwide Research & Development, Groton, Connecticut, USA., Varma MV; Pharmacokinetics, Dynamics and Metabolism, Pfizer Worldwide Research & Development, Groton, Connecticut, USA. |
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Jazyk: | angličtina |
Zdroj: | CPT: pharmacometrics & systems pharmacology [CPT Pharmacometrics Syst Pharmacol] 2019 Sep; Vol. 8 (9), pp. 634-642. Date of Electronic Publication: 2019 Sep 05. |
DOI: | 10.1002/psp4.12458 |
Abstrakt: | Physiologically-based pharmacokinetic (PBPK) modeling is a powerful tool to quantitatively describe drug disposition profiles in vivo, thereby providing an alternative to predict drug-drug interactions (DDIs) that have not been tested clinically. This study aimed to predict effects of rifampin-mediated intestinal P-glycoprotein (Pgp) induction on pharmacokinetics of Pgp substrates via PBPK modeling. First, we selected four Pgp substrates (digoxin, talinolol, quinidine, and dabigatran etexilate) to derive in vitro to in vivo scaling factors for intestinal Pgp kinetics. Assuming unbound Michaelis-Menten constant (K (© 2019 Pfizeh Inc CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals, Inc. on behalf of the American Society for Clinical Pharmacology and Therapeutics.) |
Databáze: | MEDLINE |
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