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 K. Quinney, Jin Li, Lang Li

Research output: Contribution to journalArticle

5 Scopus citations

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

ASJC Scopus subject areas

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

Fingerprint Dive into the research topics of 'How to Choose in Vitro Systems to Predict in Vivo Drug Clearance: A System Pharmacology Perspective'. Together they form a unique fingerprint.

Cite this