Biomedicine & Pharmacotherapy (Sep 2022)

Prediction of pharmacokinetics and pharmacodynamics of trelagliptin and omarigliptin in healthy humans and in patients with renal impairment using physiologically based pharmacokinetic combined DPP-4 occupancy modeling

  • Chunnuan Wu,
  • Huining Liu,
  • Shuang Yu,
  • Congcong Ren,
  • Jie Zhang,
  • Guopeng Wang,
  • Bole Li,
  • Yang Liu

Journal volume & issue
Vol. 153
p. 113509

Abstract

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Background: This study aimed to build a mathematical model of physiologically based pharmacokinetic combined DPP-4 occupancy (PBPK-DO) in humans to provide some recommendations for dosing adjustment in patients with renal impairment. Methods: The PBPK-DO model was built using physicochemical and biochemical properties and binding kinetics data of TRE and OMA, and then validated by the clinically observed pharmacokinetics (PK) and pharmacodynamics (PD). Finally, the model was applied to determine dose adjustment in patients with renal impairment. Results: The predicted PK and DPP-4 occupancy matched well with the clinically observed data, and all absolute average-folding errors (AAFEs) were within 2. The simulations showed that TRE and OMA were both suggested to only support dose reduction by half in patients with severe renal impairment based on this PBPK-DO model, which is different from the commendations only in terms of their AUC0–336 changes. These simulation results were in good agreement with clinical recommendations about dosage adjustment in patients. Conclusion: The present PBPK-DO model can simultaneously predict PK and PD of TRE and OMA in humans and also provide valuable recommendations for dosing adjustment in renal impairment patients, which cannot be achieved by alone depending on PK change.

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