Frontiers in Pharmacology (Dec 2022)

Joint population pharmacokinetic modeling of venlafaxine and O-desmethyl venlafaxine in healthy volunteers and patients to evaluate the impact of morbidity and concomitant medication

  • Zhanzhang Wang,
  • Zhanzhang Wang,
  • Lu Li,
  • Lu Li,
  • Shanqing Huang,
  • Shanqing Huang,
  • Xipei Wang,
  • Shujing Liu,
  • Shujing Liu,
  • Xiaolin Li,
  • Xiaolin Li,
  • Wan Kong,
  • Wan Kong,
  • Xiaojia Ni,
  • Xiaojia Ni,
  • Ming Zhang,
  • Ming Zhang,
  • Shanshan Huang,
  • Shanshan Huang,
  • Yaqian Tan,
  • Yaqian Tan,
  • Yuguan Wen,
  • Yuguan Wen,
  • Dewei Shang,
  • Dewei Shang

DOI
https://doi.org/10.3389/fphar.2022.978202
Journal volume & issue
Vol. 13

Abstract

Read online

Introduction: Venlafaxine (VEN) is a widely used dual selective serotonin/noradrenaline reuptake inhibitor indicated for depression and anxiety. It undergoes first-pass metabolism to its active metabolite, O-desmethyl venlafaxine (ODV). The aim of the present study was to develop a joint population pharmacokinetic (PPK) model to characterize their pharmacokinetic characters simultaneously.Methods: Plasma concentrations with demographic and clinical data were derived from a bioequivalence study in 24 healthy subjects and a naturalistic TDM setting containing 127 psychiatric patients. A parent-metabolite PPK modeling was performed with NONMEM software using a non-linear mixed effect modeling approach. Goodness of fit plots and normalized prediction distribution error method were used for model validation.Results and conclusion: Concentrations of VEN and ODV were well described with a one-compartment model incorporating first-pass metabolism. The first-pass metabolism was modeled as a first-order conversion. The morbid state and concomitant amisulpride were identified as two significant covariates affecting the clearance of VEN and ODV, which may account for some of the variations in exposure. This model may contribute to the precision medication in clinical practice and may inspire other drugs with pre-system metabolism.

Keywords