How to Choose In Vitro Systems to Predict In Vivo Drug Clearance: A System Pharmacology Perspective
Joint Authors
Li, Lang
Feng, Weixing
Liang, Hong
Wang, Lei
Chiang, ChienWei
Wu, Hengyi
Quinney, Sara K.
Li, Jin
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-11
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Wang, Lei& Chiang, ChienWei& Liang, Hong& Wu, Hengyi& Feng, Weixing& Quinney, Sara K.…[et al.]. 2015. How to Choose In Vitro Systems to Predict In Vivo Drug Clearance: A System Pharmacology Perspective. BioMed Research International،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1057026
Modern Language Association (MLA)
Wang, Lei…[et al.]. How to Choose In Vitro Systems to Predict In Vivo Drug Clearance: A System Pharmacology Perspective. BioMed Research International No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1057026
American Medical Association (AMA)
Wang, Lei& Chiang, ChienWei& Liang, Hong& Wu, Hengyi& Feng, Weixing& Quinney, Sara K.…[et al.]. How to Choose In Vitro Systems to Predict In Vivo Drug Clearance: A System Pharmacology Perspective. BioMed Research International. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1057026
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057026