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Integration of a Physiologically Based Pharmacokinetic and Pharmacodynamic Model for Tegoprazan and Its Metabolite: Application for Predicting Food Effect and Intragastric pH Alterations
A physiologically based pharmacokinetic/pharmacodynamic (PBPK/PD) model for tegoprazan and its major metabolite M1 was developed to predict PK and PD profiles under various scenarios. The PBPK model for tegoprazan and M1 was developed and predicted using the SimCYP(®) simulator and verified using cl...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9230797/ https://www.ncbi.nlm.nih.gov/pubmed/35745870 http://dx.doi.org/10.3390/pharmaceutics14061298 |
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author | Jeong, Hyeon-Cheol Kim, Min-Gul Wei, Zhuodu Lee, Kyeong-Ryoon Lee, Jaehyeok Song, Im-Sook Shin, Kwang-Hee |
author_facet | Jeong, Hyeon-Cheol Kim, Min-Gul Wei, Zhuodu Lee, Kyeong-Ryoon Lee, Jaehyeok Song, Im-Sook Shin, Kwang-Hee |
author_sort | Jeong, Hyeon-Cheol |
collection | PubMed |
description | A physiologically based pharmacokinetic/pharmacodynamic (PBPK/PD) model for tegoprazan and its major metabolite M1 was developed to predict PK and PD profiles under various scenarios. The PBPK model for tegoprazan and M1 was developed and predicted using the SimCYP(®) simulator and verified using clinical study data obtained after a single administration of tegoprazan. The established PBPK/PD model was used to predict PK profiles after repeated administrations of tegoprazan, postprandial PK profiles, and intragastric pH changes. The predicted tegoprazan and M1 concentration–time profiles fit the observed profiles well. The arithmetic mean ratios (95% confidence intervals) of the predicted to observed values for the area under the curve (AUC(0–24 h)), maximum plasma drug concentration (C(max)), and clearance (CL) for tegoprazan and M1 were within a 30% interval. Delayed time of maximum concentration (T(max)) and decreased C(max) were predicted in the postprandial PK profiles compared with the fasted state. This PBPK/PD model may be used to predict PK profiles after repeated tegoprazan administrations and to predict differences in physiological factors in the gastrointestinal tract or changes in gastric acid pH after tegoprazan administration. |
format | Online Article Text |
id | pubmed-9230797 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-92307972022-06-25 Integration of a Physiologically Based Pharmacokinetic and Pharmacodynamic Model for Tegoprazan and Its Metabolite: Application for Predicting Food Effect and Intragastric pH Alterations Jeong, Hyeon-Cheol Kim, Min-Gul Wei, Zhuodu Lee, Kyeong-Ryoon Lee, Jaehyeok Song, Im-Sook Shin, Kwang-Hee Pharmaceutics Article A physiologically based pharmacokinetic/pharmacodynamic (PBPK/PD) model for tegoprazan and its major metabolite M1 was developed to predict PK and PD profiles under various scenarios. The PBPK model for tegoprazan and M1 was developed and predicted using the SimCYP(®) simulator and verified using clinical study data obtained after a single administration of tegoprazan. The established PBPK/PD model was used to predict PK profiles after repeated administrations of tegoprazan, postprandial PK profiles, and intragastric pH changes. The predicted tegoprazan and M1 concentration–time profiles fit the observed profiles well. The arithmetic mean ratios (95% confidence intervals) of the predicted to observed values for the area under the curve (AUC(0–24 h)), maximum plasma drug concentration (C(max)), and clearance (CL) for tegoprazan and M1 were within a 30% interval. Delayed time of maximum concentration (T(max)) and decreased C(max) were predicted in the postprandial PK profiles compared with the fasted state. This PBPK/PD model may be used to predict PK profiles after repeated tegoprazan administrations and to predict differences in physiological factors in the gastrointestinal tract or changes in gastric acid pH after tegoprazan administration. MDPI 2022-06-18 /pmc/articles/PMC9230797/ /pubmed/35745870 http://dx.doi.org/10.3390/pharmaceutics14061298 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Jeong, Hyeon-Cheol Kim, Min-Gul Wei, Zhuodu Lee, Kyeong-Ryoon Lee, Jaehyeok Song, Im-Sook Shin, Kwang-Hee Integration of a Physiologically Based Pharmacokinetic and Pharmacodynamic Model for Tegoprazan and Its Metabolite: Application for Predicting Food Effect and Intragastric pH Alterations |
title | Integration of a Physiologically Based Pharmacokinetic and Pharmacodynamic Model for Tegoprazan and Its Metabolite: Application for Predicting Food Effect and Intragastric pH Alterations |
title_full | Integration of a Physiologically Based Pharmacokinetic and Pharmacodynamic Model for Tegoprazan and Its Metabolite: Application for Predicting Food Effect and Intragastric pH Alterations |
title_fullStr | Integration of a Physiologically Based Pharmacokinetic and Pharmacodynamic Model for Tegoprazan and Its Metabolite: Application for Predicting Food Effect and Intragastric pH Alterations |
title_full_unstemmed | Integration of a Physiologically Based Pharmacokinetic and Pharmacodynamic Model for Tegoprazan and Its Metabolite: Application for Predicting Food Effect and Intragastric pH Alterations |
title_short | Integration of a Physiologically Based Pharmacokinetic and Pharmacodynamic Model for Tegoprazan and Its Metabolite: Application for Predicting Food Effect and Intragastric pH Alterations |
title_sort | integration of a physiologically based pharmacokinetic and pharmacodynamic model for tegoprazan and its metabolite: application for predicting food effect and intragastric ph alterations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9230797/ https://www.ncbi.nlm.nih.gov/pubmed/35745870 http://dx.doi.org/10.3390/pharmaceutics14061298 |
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