Summary
2005, Vol. 35, No. 6, Pages 603-625

Microsomal prediction of in vivo clearance and associated interindividual variability of six benzodiazepines in humans

H. C. Rawden1, D. J. Carlile2, A. Tindall1, D. Hallifax1, A. Galetin1, K. Ito3 and J. B. Houston1
School of Pharmacy and Pharmaceutical Sciences, University of Manchester, Manchester, UK
R. W. Johnson Pharmaceutical Research Institute, High Wycombe, UK
Department of Clinical Pharmacokinetics, Hoshi University, Tokyo, Japan
Address for correspondence: J. B., Houston, Centre for Applied Pharmacokinetic Research, School of Pharmacy and Pharmaceutical Sciences, University of Manchester, Oxford Road, Manchester M13 9PL, UK, 44-(0)161-275-2358, 44-(0)161-275-8349



The intrinsic clearances (CLint) of midazolam, triazolam, diazepam, nordiazepam, flunitrazepam and alprazolam were determined from two liver banks (n=21) by formation kinetics of ten metabolites. A literature-collated database of in vivo CLint values (811 subjects) was used to assess predictions and variability. The in vivo clearance of six benzodiazepines was generally underpredicted by in vitro data and the degree of bias was in agreement with a database of structurally diverse compounds (n=37). The variability observed for in vitro clearances (11–19-fold for midazolam, diazepam and nordiazepam in liver bank 1; 101–269-fold for triazolam, flunitrazepam and alprazolam in liver bank 2) exceeded the in vivo variability for the same compounds (4–59 and 10–29, respectively). This mismatch may contribute to the bias in microsomal predictions and it highlights the need for careful selection of representative livers for human liver banks.

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D. Hallifax, A. Galetin, J. B. Houston. (2008) Prediction of metabolic clearance using fresh human hepatocytes: Comparison with cryopreserved hepatocytes and hepatic microsomes for five benzodiazepines. Xenobiotica 38:4, 353-367
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Authors:
H. C. Rawden
D. J. Carlile
A. Tindall
D. Hallifax
A. Galetin
K. Ito
J. B. Houston
Keywords:
In vitro–in vivo prediction
CYP3A4
interindividual variability