Prediction of the Drug-Drug Interaction Potential between Tegoprazan and Amoxicillin/Clarithromycin Using the Physiologically Based Pharmacokinetic and Pharmacodynamic Model.

Zhuodu Wei, Hyeon-Cheol Jeong, Min-Gul Kim, Kwang-Hee Shin
Author Information
  1. Zhuodu Wei: College of Pharmacy, Research Institute of Pharmaceutical Sciences, Kyungpook National University, 80, Daehak-ro, Buk-gu, Daegu 41566, Republic of Korea. ORCID
  2. Hyeon-Cheol Jeong: College of Pharmacy, Research Institute of Pharmaceutical Sciences, Kyungpook National University, 80, Daehak-ro, Buk-gu, Daegu 41566, Republic of Korea.
  3. Min-Gul Kim: Department of Pharmacology, Medical School, Jeonbuk National University, Jeonju 54907, Republic of Korea.
  4. Kwang-Hee Shin: College of Pharmacy, Research Institute of Pharmaceutical Sciences, Kyungpook National University, 80, Daehak-ro, Buk-gu, Daegu 41566, Republic of Korea. ORCID

Abstract

Tegoprazan is a novel potassium-competitive acid blocker. This study investigated the effect of drug-drug interaction on the pharmacokinetics and pharmacodynamics of tegoprazan co-administered with amoxicillin and clarithromycin, the first-line therapy for the eradication of , using physiologically based pharmacokinetic and pharmacodynamic (PBPK/PD) modeling. The previously reported tegoprazan PBPK/PD model was modified and applied. The clarithromycin PBPK model was developed based on the model provided by the SimCYP compound library. The amoxicillin model was constructed using the middle-out approach. All of the observed concentration-time profiles were covered well by the predicted profiles with the 5th and 95th percentiles. The mean ratios of predicted to observed PK parameters, including the area under the curve (AUC), maximum plasma drug concentration (C), and clearance, were within the 30% intervals for the developed models. Two-fold ratios of predicted fold-changes of C and AUC from time 0 to 24 h to observed data were satisfied. The predicted PD endpoints, including median intragastric pH and percentage holding rate at pH above 4 or 6 on day 1 and day 7, were close to the corresponding observed data. This investigation allows evaluation of the effects of CYP3A4 perpetrators on tegoprazan PK and PD changes, thus providing clinicians with the rationale for co-administration dosing adjustment.

Keywords

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Grants

  1. NRF-2020R1C1C1013631/National Research Foundation of Korea
  2. 5199990614732/4TH BK21 project (Educational Research Group for Platform Development of Management of Emerging Infectious Disease) funded by the Korean Ministry of Education

Word Cloud

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