ArticlePharmaceutical research2004
Comparison of the use of liver models for predicting drug clearance using in vitro kinetic data from hepatic microsomes and isolated hepatocytes.
Article in Pharmaceutical research, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.
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Who cites it
51 citing papers in PubMed.
- Review
- Machine learning-based unified models for predicting drug clearance from pharmacokinetic animal and study design variables.PloS one · 2026Article
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- Systematic evaluation of high-throughput PBK modelling strategies for the prediction of intravenous and oral pharmacokinetics in humans.Archives of toxicology · 2024Article
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- Prediction of hepatic drug clearance with a human microfluidic four-cell liver acinus microphysiology system.Toxicology · 2021Article
- Designing QSARs for Parameters of High-Throughput Toxicokinetic Models Using Open-Source Descriptors.Environmental science & technology · 2021Article
- Recent developments inDrug metabolism reviews · 2021Article
- Current Models for Predicting Drug-induced Cholestasis: The Role of Hepatobiliary Transport System.Iranian journal of pharmaceutical research : IJPR · 2021Review
- Prediction of Drug Clearance from Enzyme and Transporter Kinetics.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Beyond the Michaelis-Menten: Accurate Prediction of In Vivo Hepatic Clearance for Drugs With Low KClinical and translational science · 2020Article
- Using Chemical Structure Information to Develop Predictive Models forComputational toxicology (Amsterdam, Netherlands) · 2020Article
- Development and evaluation of a high throughput inhalation model for organic chemicals.Journal of exposure science & environmental epidemiology · 2020Article
- Application of Physiologically-Based and Population Pharmacokinetic Modeling for Dose Finding and Confirmation During the Pediatric Development of Moxifloxacin.CPT: pharmacometrics & systems pharmacology · 2019Article
- In Vitro-In Vivo Extrapolation and Hepatic Clearance-Dependent Underprediction.Journal of pharmaceutical sciences · 2019Article
- Theoretical Considerations for Direct Translation of Unbound Liver-to-Plasma Partition Coefficient from In Vitro to In Vivo.The AAPS journal · 2019Article
- Novel in vitro dynamic metabolic system for predicting the human pharmacokinetics of tolbutamide.Acta pharmacologica Sinica · 2018Article
- Towards a generic physiologically based kinetic model to predict in vivo uterotrophic responses in rats by reverse dosimetry of in vitro estrogenicity data.Archives of toxicology · 2018Article
- Pharmacokinetic parameters explain the therapeutic activity of antimicrobial agents in a silkworm infection model.Scientific reports · 2018Article
- An Intuitive Approach for Predicting Potential Human Health Risk with the Tox21 10k Library.Environmental science & technology · 2017Article
Corrections and comments
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2 authors.
Funding
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Abstract
purposeTo compare three liver models (well-stirred, parallel tube, and dispersion) for the prediction of in vivo intrinsic clearance (CL(int)), hepatic clearance (CLh). and hepatic availability (Fh) of a wide range of drugs in the rat using in vitro data from two in vitro sources.
methodsIn vitro CL(int) was obtained from studies using isolated rat hepatocytes (35 drugs) or rat liver microsomes (52 drugs) and used to predict in vivo CL(int) using reported scaling factors, and subsequently CLh and Fh were predicted based on the three liver models. In addition, in vivo CL(int) values were calculated from the reported values of CLh based on each of the three models.
resultsFor all of the parameters, predictions from hepatocyte data were consistently more accurate than those from microsomal data. Comparison of in vitro and in vivo CL(int) values demonstrated that the dispersion model and the parallel tube model were comparable and more accurate (less bias, more precise) than the well-stirred model. For CLh and Fh prediction, the three models performed similarly.
conclusionsConsidering the statistics of the predictions for three liver models, the use of parallel tube model is recommended for the evaluation of in vitro CL(int) values both from microsomes and hepatocytes. However, for the prediction of the in vivo drug (hepatic) clearance from in vitro data, as there are minimal differences between the models, the use of the well-stirred liver model is recommended.
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