1. Academic Validation
  2. Prediction of Fluoxetine and Norfluoxetine Pharmacokinetic Profiles Using Physiologically Based Pharmacokinetic Modeling

Prediction of Fluoxetine and Norfluoxetine Pharmacokinetic Profiles Using Physiologically Based Pharmacokinetic Modeling

  • J Clin Pharmacol. 2021 Nov;61(11):1505-1513. doi: 10.1002/jcph.1927.
Hyeon-Cheol Jeong 1 Yoon-Jee Chae 2 Sooyeun Lee 3 Wonku Kang 4 Hwi-Yeol Yun 5 Kwang-Hee Shin 1
Affiliations

Affiliations

  • 1 College of Pharmacy, Research Institute of Pharmaceutical Sciences, Kyungpook National University, Daegu, Republic of Korea.
  • 2 College of Pharmacy, Woosuk University, Jeonbuk, Republic of Korea.
  • 3 College of Pharmacy, Keimyung University, Daegu, Republic of Korea.
  • 4 College of Pharmacy, Chung-Ang University, Seoul, Republic of Korea.
  • 5 College of Pharmacy, Chungnam National University, Daejeon, Republic of Korea.
Abstract

Fluoxetine is a selective serotonin reuptake inhibitor that is metabolized to norfluoxetine by Cytochrome P450 (CYP) 2D6, CYP2C19, and CYP3A4. A physiologically based pharmacokinetic model for fluoxetine and norfluoxetine metabolism was developed to predict and investigate changes in concentration-time profiles according to fluoxetine dosage in the Korean population. The model was developed based on the Certara repository model and information gleaned from the literature. Digitally extracted clinical study data were used to develop and verify the model. Simulations for plasma concentrations of fluoxetine and norfluoxetine after a single dose of 60 or 80 mg fluoxetine were made based on 1000 virtual healthy Korean individuals using the SimCYP version 19 simulator. The mean ratios (simulated/observed) after a single administration of 80 mg fluoxetine for maximum plasma concentration, area under the plasma concentration-time curve, and apparent clearance were 1.12, 1.08, and 0.93 for fluoxetine; the ratios of maximum plasma concentration and area under the plasma concentration-time curve were 1.08 and 1.08, respectively, for norfluoxetine, indicating that the simulated concentration-time profiles of fluoxetine and norfluoxetine fitted the observed profiles well. The developed model was used to predict plasma fluoxetine and norfluoxetine concentration-time profiles after repeated administrations of fluoxetine in Korean volunteers. This physiologically based pharmacokinetic model could provide basic understanding of the pharmacokinetic profiles of fluoxetine and its metabolite under various situations.

Keywords

SimCYP; fluoxetine; korean; pharmacokinetics; physiologically based pharmacokinetics.

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