Development and Evaluation of Ontogeny Functions of the Major UDP-Glucuronosyltransferase Enzymes to Underwrite

Nashid Farhan1, Upendra P Dahal1, Jan Wahlstrom2

  • 1Pharmacokinetics and Drug Metabolism, Amgen Inc., South San Francisco, California, USA.

Insights

Developing accurate pediatric drug dosing requires understanding age-dependent UGT maturation. New in vivo activity-based ontogeny functions improve pharmacokinetic predictions compared to in vitro models.

Area of Science:

  • Pharmacology
  • Drug Metabolism
  • Pediatric Pharmacokinetics

Background:

  • Uridine 5'-diphospho-glucuronosyltransferases (UGTs) exhibit variable expression in children.
  • Accurate pediatric pharmacokinetics (PK) prediction necessitates understanding age-dependent UGT maturation for glucuronidated drugs.

Purpose of the Study:

  • To develop and compare ontogeny functions for 8 major UGTs using a meta-analysis of in vitro and in vivo data.
  • To evaluate the predictive accuracy of different ontogeny function types within physiologically based pharmacokinetic (PBPK) models.

Main Methods:

  • Conducted a meta-analysis of published literature on UGTs (UGT1A1, UGT1A4, UGT1A6, UGT1A9, UGT2B7, UGT2B10, UGT2B15, UGT2B17).
  • Developed in vitro abundance-based, in vitro activity-based, and in vivo activity-based ontogeny functions.
  • Integrated these functions into PBPK models to assess prediction accuracy.

Main Results:

  • In vivo activity-based ontogeny functions showed improved prediction accuracy (MSE: 0.05) compared to in vitro activity (MSE: 0.104) and in vitro abundance-based functions (MSE: 0.129).
  • This suggests in vivo data provides a more reliable basis for pediatric UGT maturation modeling.

Conclusions:

  • In vivo activity-based ontogeny functions are superior for predicting pediatric UGT maturation and PK.
  • These findings can enhance the accuracy of pediatric drug dosing and safety assessments.