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Predicting the correct dose in children: Role of computational Pediatric Physiological‐based pharmacokinetics modeling tools
The pharmacokinetics (PKs) and safety of medications in particular groups can be predicted using the physiologically‐based pharmacokinetic (PBPK) model. Using the PBPK model may enable safe pediatric clinical trials and speed up the process of new drug research and development, especially for childr...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9835135/ https://www.ncbi.nlm.nih.gov/pubmed/36330677 http://dx.doi.org/10.1002/psp4.12883 |
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author | Zhou, Xu Dun, Jiening Chen, Xiao Xiang, Bai Dang, Yunjie Cao, Deying |
author_facet | Zhou, Xu Dun, Jiening Chen, Xiao Xiang, Bai Dang, Yunjie Cao, Deying |
author_sort | Zhou, Xu |
collection | PubMed |
description | The pharmacokinetics (PKs) and safety of medications in particular groups can be predicted using the physiologically‐based pharmacokinetic (PBPK) model. Using the PBPK model may enable safe pediatric clinical trials and speed up the process of new drug research and development, especially for children, a population in which it is relatively difficult to conduct clinical trials. This review summarizes the role of pediatric PBPK (P‐PBPK) modeling software in dose prediction over the past 6 years and briefly introduces the process of general P‐PBPK modeling. We summarized the theories and applications of this software and discussed the application trends and future perspectives in the area. The modeling software's extensive use will undoubtedly make it easier to predict dose prediction for young patients. |
format | Online Article Text |
id | pubmed-9835135 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98351352023-01-17 Predicting the correct dose in children: Role of computational Pediatric Physiological‐based pharmacokinetics modeling tools Zhou, Xu Dun, Jiening Chen, Xiao Xiang, Bai Dang, Yunjie Cao, Deying CPT Pharmacometrics Syst Pharmacol Review The pharmacokinetics (PKs) and safety of medications in particular groups can be predicted using the physiologically‐based pharmacokinetic (PBPK) model. Using the PBPK model may enable safe pediatric clinical trials and speed up the process of new drug research and development, especially for children, a population in which it is relatively difficult to conduct clinical trials. This review summarizes the role of pediatric PBPK (P‐PBPK) modeling software in dose prediction over the past 6 years and briefly introduces the process of general P‐PBPK modeling. We summarized the theories and applications of this software and discussed the application trends and future perspectives in the area. The modeling software's extensive use will undoubtedly make it easier to predict dose prediction for young patients. John Wiley and Sons Inc. 2022-11-20 /pmc/articles/PMC9835135/ /pubmed/36330677 http://dx.doi.org/10.1002/psp4.12883 Text en © 2022 The Authors. CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Review Zhou, Xu Dun, Jiening Chen, Xiao Xiang, Bai Dang, Yunjie Cao, Deying Predicting the correct dose in children: Role of computational Pediatric Physiological‐based pharmacokinetics modeling tools |
title | Predicting the correct dose in children: Role of computational Pediatric Physiological‐based pharmacokinetics modeling tools |
title_full | Predicting the correct dose in children: Role of computational Pediatric Physiological‐based pharmacokinetics modeling tools |
title_fullStr | Predicting the correct dose in children: Role of computational Pediatric Physiological‐based pharmacokinetics modeling tools |
title_full_unstemmed | Predicting the correct dose in children: Role of computational Pediatric Physiological‐based pharmacokinetics modeling tools |
title_short | Predicting the correct dose in children: Role of computational Pediatric Physiological‐based pharmacokinetics modeling tools |
title_sort | predicting the correct dose in children: role of computational pediatric physiological‐based pharmacokinetics modeling tools |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9835135/ https://www.ncbi.nlm.nih.gov/pubmed/36330677 http://dx.doi.org/10.1002/psp4.12883 |
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