Literature DB >> 22439758

Use of uptake intrinsic clearance from attached rat hepatocytes to predict hepatic clearance for poorly permeable compounds.

Liyue Huang1, April Chen, John Roberts, Brett Janosky, Xuhai Be, Loren Berry, Min-Hwa Jasmine Lin.   

Abstract

We previously reported that the accuracy of clearance (CL) prediction could be differentiated by permeability. CL was drastically under-predicted by in vitro metabolic intrinsic clearance (CL(int)) for compounds with low permeability (<5 × 10(-6) cm/s). We determined apparent uptake CL(int) by measuring initial disappearance from medium using attached rat hepatocytes and metabolic CL(int) by measuring parent depletion in suspended rat hepatocytes (cells and medium). Uptake and metabolic CL(int) were comparable for highly permeable metabolic marker compounds. In contrast, uptake CL(int) was 3- to 40-fold higher than metabolic CL(int) for rosuvastatin, bosentan, and 15 proprietary compounds, which had low permeability, suggesting that uptake could be a rate-determining step in hepatic elimination for these poorly permeable compounds. The prediction of hepatic CL was improved significantly when using uptake CL(int) for the compounds with low permeability. The average fold error was 2.2 and 6, as opposed to >11 and >47 by metabolic CL(int), with and without applying a scaling factor of 4, respectively. Uptake CL(int) from attached hepatocytes can be used as an alternative approach to predict hepatic clearance and to understand the significance of hepatic uptake in elimination in an early drug discovery setting.

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Year:  2012        PMID: 22439758     DOI: 10.3109/00498254.2012.667847

Source DB:  PubMed          Journal:  Xenobiotica        ISSN: 0049-8254            Impact factor:   1.908


  1 in total

1.  Sulfonamides as Selective NaV1.7 Inhibitors: Optimizing Potency and Pharmacokinetics to Enable in Vivo Target Engagement.

Authors:  Isaac E Marx; Thomas A Dineen; Jessica Able; Christiane Bode; Howard Bregman; Margaret Chu-Moyer; Erin F DiMauro; Bingfan Du; Robert S Foti; Robert T Fremeau; Hua Gao; Hakan Gunaydin; Brian E Hall; Liyue Huang; Thomas Kornecook; Charles R Kreiman; Daniel S La; Joseph Ligutti; Min-Hwa Jasmine Lin; Dong Liu; Jeff S McDermott; Bryan D Moyer; Emily A Peterson; Jonathan T Roberts; Paul Rose; Jean Wang; Beth D Youngblood; Violeta Yu; Matthew M Weiss
Journal:  ACS Med Chem Lett       Date:  2016-09-21       Impact factor: 4.345

  1 in total

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