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Mechanistic prediction of food effects for Compound A tablet using PBPK model
Physiologically based pharmacokinetic (PBPK) modeling has been extensively used to study the factors of effect drug absorption, distribution, metabolize and extraction progress in human. In this study, Compound A(CPD A) is a BCS Class II drug, which has been extensive applied in clinical as lipid-lo...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5372427/ https://www.ncbi.nlm.nih.gov/pubmed/28386186 http://dx.doi.org/10.1016/j.sjbs.2017.01.032 |
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author | Li, Xueqing Shi, Lei Tang, Xiuling Wang, Qinghui Zhou, Lun Song, Wei Feng, Zhijun Ge, Jie Li, Jian Kang Yang, Lin Wen, Aidong Zhang, Yan |
author_facet | Li, Xueqing Shi, Lei Tang, Xiuling Wang, Qinghui Zhou, Lun Song, Wei Feng, Zhijun Ge, Jie Li, Jian Kang Yang, Lin Wen, Aidong Zhang, Yan |
author_sort | Li, Xueqing |
collection | PubMed |
description | Physiologically based pharmacokinetic (PBPK) modeling has been extensively used to study the factors of effect drug absorption, distribution, metabolize and extraction progress in human. In this study, Compound A(CPD A) is a BCS Class II drug, which has been extensive applied in clinical as lipid-lowering drug, administered orally after food, they displayed positive food effects in human, A PBPK model was built to mechanistic investigate the food effect of CPD A tablet in our study. By using gastroplus™ software, the PBPK models accurately predicted the results of food effects and predicted data were within 2-fold error of the observed results. The PBPK model mechanistic illuminated the changes of pharmacokinetic values for the positive food effects of the compound in human. Here in, the PBPK modeling which were combined with ACAT absorption models in it, successfully simulated the food effect in human of the drug. The simulation results were proved that PBPK model can be able to serve as a potential tool to predict the food effect on certain oral drugs. |
format | Online Article Text |
id | pubmed-5372427 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-53724272017-04-06 Mechanistic prediction of food effects for Compound A tablet using PBPK model Li, Xueqing Shi, Lei Tang, Xiuling Wang, Qinghui Zhou, Lun Song, Wei Feng, Zhijun Ge, Jie Li, Jian Kang Yang, Lin Wen, Aidong Zhang, Yan Saudi J Biol Sci Original Article Physiologically based pharmacokinetic (PBPK) modeling has been extensively used to study the factors of effect drug absorption, distribution, metabolize and extraction progress in human. In this study, Compound A(CPD A) is a BCS Class II drug, which has been extensive applied in clinical as lipid-lowering drug, administered orally after food, they displayed positive food effects in human, A PBPK model was built to mechanistic investigate the food effect of CPD A tablet in our study. By using gastroplus™ software, the PBPK models accurately predicted the results of food effects and predicted data were within 2-fold error of the observed results. The PBPK model mechanistic illuminated the changes of pharmacokinetic values for the positive food effects of the compound in human. Here in, the PBPK modeling which were combined with ACAT absorption models in it, successfully simulated the food effect in human of the drug. The simulation results were proved that PBPK model can be able to serve as a potential tool to predict the food effect on certain oral drugs. Elsevier 2017-03 2017-02-11 /pmc/articles/PMC5372427/ /pubmed/28386186 http://dx.doi.org/10.1016/j.sjbs.2017.01.032 Text en © 2017 Production and hosting by Elsevier B.V. on behalf of King Saud University. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Article Li, Xueqing Shi, Lei Tang, Xiuling Wang, Qinghui Zhou, Lun Song, Wei Feng, Zhijun Ge, Jie Li, Jian Kang Yang, Lin Wen, Aidong Zhang, Yan Mechanistic prediction of food effects for Compound A tablet using PBPK model |
title | Mechanistic prediction of food effects for Compound A tablet using PBPK model |
title_full | Mechanistic prediction of food effects for Compound A tablet using PBPK model |
title_fullStr | Mechanistic prediction of food effects for Compound A tablet using PBPK model |
title_full_unstemmed | Mechanistic prediction of food effects for Compound A tablet using PBPK model |
title_short | Mechanistic prediction of food effects for Compound A tablet using PBPK model |
title_sort | mechanistic prediction of food effects for compound a tablet using pbpk model |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5372427/ https://www.ncbi.nlm.nih.gov/pubmed/28386186 http://dx.doi.org/10.1016/j.sjbs.2017.01.032 |
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