Literature DB >> 14529368

Application of a convective-dispersion model to predict in vivo hepatic clearance from in vitro measurements utilizing cryopreserved human hepatocytes.

Ryan Niro1, James P Byers, Ronald L Fournier, Kenneth Bachmann.   

Abstract

Growing interest in the prediction of in vivo pharmacokinetic data from purely in vitro data has grown into a process known as the in vitro-in vivo correlation (IVIC). IVIC can be used to determine the viability of new chemical entities in the early drug development phases, leading to a reduction of resource spending by many large pharmaceutical companies. Here, a convective-dispersion model was developed to predict the total hepatic clearance of six drugs using pharmacokinetic data obtained from in vitro metabolism studies in which the drug disappearance from suspensions of human cryopreserved hepatocytes was measured. Predicted in vivo hepatic clearances estimated by the convective-dispersion model were ultimately compared to the actual clearance values and to in vivo hepatic clearances that were scaled based on the well-stirred model. Finally, sensitivity studies were performed to determine the dependence of hepatic clearance on a number of physiological model parameters. Results reaffirmed that low clearance drugs exhibit rate-limited metabolism, and their hepatic clearances are thus independent of blood flow characteristics, whereas drugs with relatively higher clearance values show a more pronounced dependence on the flood flow properties of dispersion and convection. Absent a priori knowledge about the flow-dependent properties of a drug's clearance, the convective dispersion model applied to disappearance data acquired from cryopreserved human hepatocytes is likely to provide satisfactory estimates of hepatic drug clearance.

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Year:  2003        PMID: 14529368     DOI: 10.2174/1389200033489334

Source DB:  PubMed          Journal:  Curr Drug Metab        ISSN: 1389-2002            Impact factor:   3.731


  5 in total

Review 1.  Applications of human pharmacokinetic prediction in first-in-human dose estimation.

Authors:  Peng Zou; Yanke Yu; Nan Zheng; Yongsheng Yang; Hayley J Paholak; Lawrence X Yu; Duxin Sun
Journal:  AAPS J       Date:  2012-03-10       Impact factor: 4.009

Review 2.  Prediction of hepatic clearance in human from in vitro data for successful drug development.

Authors:  Masato Chiba; Yasuyuki Ishii; Yuichi Sugiyama
Journal:  AAPS J       Date:  2009-04-30       Impact factor: 4.009

3.  An Automated High-Throughput Metabolic Stability Assay Using an Integrated High-Resolution Accurate Mass Method and Automated Data Analysis Software.

Authors:  Pranav Shah; Edward Kerns; Dac-Trung Nguyen; R Scott Obach; Amy Q Wang; Alexey Zakharov; John McKew; Anton Simeonov; Cornelis E C A Hop; Xin Xu
Journal:  Drug Metab Dispos       Date:  2016-07-14       Impact factor: 3.922

Review 4.  Drug structure-transport relationships.

Authors:  Michael S Roberts
Journal:  J Pharmacokinet Pharmacodyn       Date:  2010-11-24       Impact factor: 2.745

5.  How to Choose In Vitro Systems to Predict In Vivo Drug Clearance: A System Pharmacology Perspective.

Authors:  Lei Wang; ChienWei Chiang; Hong Liang; Hengyi Wu; Weixing Feng; Sara K Quinney; Jin Li; Lang Li
Journal:  Biomed Res Int       Date:  2015-10-11       Impact factor: 3.411

  5 in total

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