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How to Choose In Vitro Systems to Predict In Vivo Drug Clearance: A System Pharmacology Perspective
The use of in vitro metabolism data to predict human clearance has become more significant in the current prediction of large scale drug clearance for all the drugs. The relevant information (in vitro metabolism data and in vivo human clearance values) of thirty-five drugs that satisfied the entry c...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4619875/ https://www.ncbi.nlm.nih.gov/pubmed/26539530 http://dx.doi.org/10.1155/2015/857327 |
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author | Wang, Lei Chiang, ChienWei Liang, Hong Wu, Hengyi Feng, Weixing Quinney, Sara K. Li, Jin Li, Lang |
author_facet | Wang, Lei Chiang, ChienWei Liang, Hong Wu, Hengyi Feng, Weixing Quinney, Sara K. Li, Jin Li, Lang |
author_sort | Wang, Lei |
collection | PubMed |
description | The use of in vitro metabolism data to predict human clearance has become more significant in the current prediction of large scale drug clearance for all the drugs. The relevant information (in vitro metabolism data and in vivo human clearance values) of thirty-five drugs that satisfied the entry criteria of probe drugs was collated from the literature. Then the performance of different in vitro systems including Escherichia coli system, yeast system, lymphoblastoid system and baculovirus system is compared after in vitro-in vivo extrapolation. Baculovirus system, which can provide most of the data, has almost equal accuracy as the other systems in predicting clearance. And in most cases, baculovirus system has the smaller CV in scaling factors. Therefore, the baculovirus system can be recognized as the suitable system for the large scale drug clearance prediction. |
format | Online Article Text |
id | pubmed-4619875 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-46198752015-11-04 How to Choose In Vitro Systems to Predict In Vivo Drug Clearance: A System Pharmacology Perspective Wang, Lei Chiang, ChienWei Liang, Hong Wu, Hengyi Feng, Weixing Quinney, Sara K. Li, Jin Li, Lang Biomed Res Int Research Article The use of in vitro metabolism data to predict human clearance has become more significant in the current prediction of large scale drug clearance for all the drugs. The relevant information (in vitro metabolism data and in vivo human clearance values) of thirty-five drugs that satisfied the entry criteria of probe drugs was collated from the literature. Then the performance of different in vitro systems including Escherichia coli system, yeast system, lymphoblastoid system and baculovirus system is compared after in vitro-in vivo extrapolation. Baculovirus system, which can provide most of the data, has almost equal accuracy as the other systems in predicting clearance. And in most cases, baculovirus system has the smaller CV in scaling factors. Therefore, the baculovirus system can be recognized as the suitable system for the large scale drug clearance prediction. Hindawi Publishing Corporation 2015 2015-10-11 /pmc/articles/PMC4619875/ /pubmed/26539530 http://dx.doi.org/10.1155/2015/857327 Text en Copyright © 2015 Lei Wang et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Wang, Lei Chiang, ChienWei Liang, Hong Wu, Hengyi Feng, Weixing Quinney, Sara K. Li, Jin Li, Lang How to Choose In Vitro Systems to Predict In Vivo Drug Clearance: A System Pharmacology Perspective |
title | How to Choose In Vitro Systems to Predict In Vivo Drug Clearance: A System Pharmacology Perspective |
title_full | How to Choose In Vitro Systems to Predict In Vivo Drug Clearance: A System Pharmacology Perspective |
title_fullStr | How to Choose In Vitro Systems to Predict In Vivo Drug Clearance: A System Pharmacology Perspective |
title_full_unstemmed | How to Choose In Vitro Systems to Predict In Vivo Drug Clearance: A System Pharmacology Perspective |
title_short | How to Choose In Vitro Systems to Predict In Vivo Drug Clearance: A System Pharmacology Perspective |
title_sort | how to choose in vitro systems to predict in vivo drug clearance: a system pharmacology perspective |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4619875/ https://www.ncbi.nlm.nih.gov/pubmed/26539530 http://dx.doi.org/10.1155/2015/857327 |
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