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Published in: Cancer Chemotherapy and Pharmacology 2/2011

01-08-2011 | Original Article

Prediction of human pharmacokinetics and tissue distribution of apicidin, a potent histone deacetylase inhibitor, by physiologically based pharmacokinetic modeling

Authors: Beom Soo Shin, Jürgen B. Bulitta, Joseph P. Balthasar, Minki Kim, Yohan Choi, Sun Dong Yoo

Published in: Cancer Chemotherapy and Pharmacology | Issue 2/2011

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Abstract

Purpose

The objectives of this study were to develop physiologically based models for the pharmacokinetics (PK) and organ distribution of apicidin in rats and mice and to predict human PK in blood and organs.

Methods

The PK of apicidin was characterized in rats and mice after i.v. bolus injection, and distribution to various tissues was determined in rats following i.v. infusions at steady state. The developed models were prospectively validated within rat and within mouse and by scaling from rat to mouse using data after multiple i.v. injections. Human PK was predicted by the physiologically based modeling using intrinsic clearance data for humans from in vitro experiments.

Results

The Cls predicted for human (9.8 ml/min/kg) was lower than those found in mice (116.9 ml/min/kg) and rats (61.6 ml/min/kg), and the Vss predicted for human (1.9 l/kg) was less than in mice (2.0 l/kg) and rats (2.5 l/kg). Consequently, the predicted t 1/2 was longer in human (2.3 h) than in mice and rats (0.4 and 0.9 h, respectively). The highest concentrations of apicidin were predicted in liver followed by adipose tissue, kidney, lung, spleen, heart, arterial blood, venous blood, small intestine, stomach, muscle, testis, and brain.

Conclusions

The developed models adequately described the PK of apicidin in rats and mice and were applied to predict human PK. These models may be useful in predicting human blood and tissue concentrations of apicidin under different exposure conditions.
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Metadata
Title
Prediction of human pharmacokinetics and tissue distribution of apicidin, a potent histone deacetylase inhibitor, by physiologically based pharmacokinetic modeling
Authors
Beom Soo Shin
Jürgen B. Bulitta
Joseph P. Balthasar
Minki Kim
Yohan Choi
Sun Dong Yoo
Publication date
01-08-2011
Publisher
Springer-Verlag
Published in
Cancer Chemotherapy and Pharmacology / Issue 2/2011
Print ISSN: 0344-5704
Electronic ISSN: 1432-0843
DOI
https://doi.org/10.1007/s00280-010-1502-y

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