How to Choose in Vitro Systems to Predict in Vivo Drug Clearance

A System Pharmacology Perspective

Lei Wang, Chienwei Chiang, Hong Liang, Hengyi Wu, Weixing Feng, Sara Quinney, Jin Li, Lang Li

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Article number857327
JournalBioMed Research International
Volume2015
DOIs
StatePublished - 2015

Fingerprint

Baculoviridae
Pharmacology
Pharmaceutical Preparations
Metabolism
Extrapolation
Yeast
Escherichia coli
Yeasts
In Vitro Techniques

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Immunology and Microbiology(all)

Cite this

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; Li, Jin; Li, Lang.

In: BioMed Research International, Vol. 2015, 857327, 2015.

Research output: Contribution to journalArticle

Wang, Lei ; Chiang, Chienwei ; Liang, Hong ; Wu, Hengyi ; Feng, Weixing ; Quinney, Sara ; Li, Jin ; Li, Lang. / How to Choose in Vitro Systems to Predict in Vivo Drug Clearance : A System Pharmacology Perspective. In: BioMed Research International. 2015 ; Vol. 2015.
@article{b8b9940e29cf4ab5b94c551575f1a158,
title = "How to Choose in Vitro Systems to Predict in Vivo Drug Clearance: A System Pharmacology Perspective",
abstract = "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.",
author = "Lei Wang and Chienwei Chiang and Hong Liang and Hengyi Wu and Weixing Feng and Sara Quinney and Jin Li and Lang Li",
year = "2015",
doi = "10.1155/2015/857327",
language = "English (US)",
volume = "2015",
journal = "BioMed Research International",
issn = "2314-6133",
publisher = "Hindawi Publishing Corporation",

}

TY - JOUR

T1 - How to Choose in Vitro Systems to Predict in Vivo Drug Clearance

T2 - A System Pharmacology Perspective

AU - Wang, Lei

AU - Chiang, Chienwei

AU - Liang, Hong

AU - Wu, Hengyi

AU - Feng, Weixing

AU - Quinney, Sara

AU - Li, Jin

AU - Li, Lang

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84946088576&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84946088576&partnerID=8YFLogxK

U2 - 10.1155/2015/857327

DO - 10.1155/2015/857327

M3 - Article

VL - 2015

JO - BioMed Research International

JF - BioMed Research International

SN - 2314-6133

M1 - 857327

ER -