Literature DB >> 19237454

Limited sampling strategy in rats to predict the inhibited activities of hepatic CYP3A.

Xue-Hui Zhu1, Jian-Jie Jiao, Cai-Li Zhang, Jian-Shi Lou, Chang-Xiao Liu.   

Abstract

The present study was undertaken in order to evaluate feasibility of a limited sampling strategy (LSS) to predict the systemic clearance of midazolam (MDZ), which is a hepatic CYP3A activity phenotyping probe. Groups of rats pretreated with or without serial doses of ketoconazole, which is a selective inhibitor on CYP3A, were used as training set. Linear regression analysis and a Jack-knife validation procedure were performed based on plasma MDZ concentrations at specific time points after sublingual vein injection of MDZ to establish the most informative LSS equations for accurately estimating the clearance of MDZ. Another group of rats in the same setting was used as the validation set to confirm the individual values of estimated clearance (Clest) that were derived from the predictive equations developed in the training set. LSS that were derived from one, two or three sampling times, namely 90 min, 60-90 min, 30-60-90 min and 30-60-120 min, gave the best correlation and acceptable errors between the values of observed clearance (Clobs) and Clest and were chosen to evaluate hepatic CYP3A activity. Our results supported the hypothesis that using limited plasma sampling is simpler than the usual method of estimating CYP3A phenotyping by predicting the systemic clearance of MDZ when the hepatic activity of CYP3A is reduced in the rat. This experimental design offers opportunities to reduce animal use in the study of drug metabolism.

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Year:  2009        PMID: 19237454     DOI: 10.1258/la.2008.008032

Source DB:  PubMed          Journal:  Lab Anim        ISSN: 0023-6772            Impact factor:   2.471


  1 in total

1.  Pharmacokinetic Variability in Pre-Clinical Studies: Sample Study with Abiraterone in Rats and Implications for Short-Term Comparative Pharmacokinetic Study Designs.

Authors:  Jana Královičová; Aleš Bartůněk; Jiří Hofmann; Tomáš Křížek; Petr Kozlík; Jaroslava Roušarová; Pavel Ryšánek; Martin Šíma; Ondřej Slanař
Journal:  Pharmaceutics       Date:  2022-03-15       Impact factor: 6.321

  1 in total

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