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Predictive performance and verification of physiologically based pharmacokinetic model of propylthiouracil
Background: Propylthiouracil (PTU) treats hyperthyroidism and thyroid crisis in all age groups. A variety of serious adverse effects can occur during clinical use and require attention to its pharmacokinetic and pharmacodynamic characteristics in various populations. Objective: To provide informatio...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9579312/ https://www.ncbi.nlm.nih.gov/pubmed/36278167 http://dx.doi.org/10.3389/fphar.2022.1013432 |
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author | Shen, Chaozhuang Liang, Dahu Wang, Xiaohu Shao, Wenxin Geng, Kuo Wang, Xingwen Sun, Hua Xie, Haitang |
author_facet | Shen, Chaozhuang Liang, Dahu Wang, Xiaohu Shao, Wenxin Geng, Kuo Wang, Xingwen Sun, Hua Xie, Haitang |
author_sort | Shen, Chaozhuang |
collection | PubMed |
description | Background: Propylthiouracil (PTU) treats hyperthyroidism and thyroid crisis in all age groups. A variety of serious adverse effects can occur during clinical use and require attention to its pharmacokinetic and pharmacodynamic characteristics in various populations. Objective: To provide information for individualized dosing and clinical evaluation of PTU in the clinical setting by developing a physiologically based pharmacokinetic (PBPK) model, predicting ADME characteristics, and extrapolating to elderly and pediatric populations. Methods: Relevant databases and literature were retrieved to collect PTU’s pharmacochemical properties and ADME parameters, etc. A PBPK model for adults was developed using PK-Sim® software to predict tissue distribution and extrapolated to elderly and pediatric populations. The mean fold error (MFE) method was used to compare the differences between predicted and observed values to assess the accuracy of the PBPK model. The model was validated using PTU pharmacokinetic data in healthy adult populations. Result: The MFE ratios of predicted to observed values of AUC(0-t), C(max), and T(max) were mainly within 0.5 and 2. PTU concentrations in various tissues are lower than venous plasma concentrations. Compared to healthy adults, the pediatric population requires quantitative adjustment to the appropriate dose to achieve the same plasma exposure levels, while the elderly do not require dose adjustments. Conclusion: The PBPK model of PTU was successfully developed, externally validated, and applied to tissue distribution prediction and special population extrapolation, which provides a reference for clinical individualized drug administration and evaluation. |
format | Online Article Text |
id | pubmed-9579312 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95793122022-10-20 Predictive performance and verification of physiologically based pharmacokinetic model of propylthiouracil Shen, Chaozhuang Liang, Dahu Wang, Xiaohu Shao, Wenxin Geng, Kuo Wang, Xingwen Sun, Hua Xie, Haitang Front Pharmacol Pharmacology Background: Propylthiouracil (PTU) treats hyperthyroidism and thyroid crisis in all age groups. A variety of serious adverse effects can occur during clinical use and require attention to its pharmacokinetic and pharmacodynamic characteristics in various populations. Objective: To provide information for individualized dosing and clinical evaluation of PTU in the clinical setting by developing a physiologically based pharmacokinetic (PBPK) model, predicting ADME characteristics, and extrapolating to elderly and pediatric populations. Methods: Relevant databases and literature were retrieved to collect PTU’s pharmacochemical properties and ADME parameters, etc. A PBPK model for adults was developed using PK-Sim® software to predict tissue distribution and extrapolated to elderly and pediatric populations. The mean fold error (MFE) method was used to compare the differences between predicted and observed values to assess the accuracy of the PBPK model. The model was validated using PTU pharmacokinetic data in healthy adult populations. Result: The MFE ratios of predicted to observed values of AUC(0-t), C(max), and T(max) were mainly within 0.5 and 2. PTU concentrations in various tissues are lower than venous plasma concentrations. Compared to healthy adults, the pediatric population requires quantitative adjustment to the appropriate dose to achieve the same plasma exposure levels, while the elderly do not require dose adjustments. Conclusion: The PBPK model of PTU was successfully developed, externally validated, and applied to tissue distribution prediction and special population extrapolation, which provides a reference for clinical individualized drug administration and evaluation. Frontiers Media S.A. 2022-10-05 /pmc/articles/PMC9579312/ /pubmed/36278167 http://dx.doi.org/10.3389/fphar.2022.1013432 Text en Copyright © 2022 Shen, Liang, Wang, Shao, Geng, Wang, Sun and Xie. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Pharmacology Shen, Chaozhuang Liang, Dahu Wang, Xiaohu Shao, Wenxin Geng, Kuo Wang, Xingwen Sun, Hua Xie, Haitang Predictive performance and verification of physiologically based pharmacokinetic model of propylthiouracil |
title | Predictive performance and verification of physiologically based pharmacokinetic model of propylthiouracil |
title_full | Predictive performance and verification of physiologically based pharmacokinetic model of propylthiouracil |
title_fullStr | Predictive performance and verification of physiologically based pharmacokinetic model of propylthiouracil |
title_full_unstemmed | Predictive performance and verification of physiologically based pharmacokinetic model of propylthiouracil |
title_short | Predictive performance and verification of physiologically based pharmacokinetic model of propylthiouracil |
title_sort | predictive performance and verification of physiologically based pharmacokinetic model of propylthiouracil |
topic | Pharmacology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9579312/ https://www.ncbi.nlm.nih.gov/pubmed/36278167 http://dx.doi.org/10.3389/fphar.2022.1013432 |
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