Literature DB >> 23323549

The volume of distribution is an indicator of poor in vitro-in vivo extrapolation of clearance for acidic drugs in the rat.

Anna-Karin Sohlenius-Sternbeck1, Urban Fagerholm, Johan Bylund.   

Abstract

Abstract 1. We applied the regression offset approach to predict rat in vivo intrinsic clearance (CLint) for 54 new chemical acid entities with high plasma protein binding values and low renal clearance (CL). The prediction success was correlated to volume of distribution (Vd), molecular weight (Mw) and CL. 2. A correlation between poor in vitro-in vivo extrapolation (IVIVE) and Vd values distinct from the Vd of albumin (0.1-0.2 L/kg) was revealed. For compounds with a Vd value above 0.5 L/kg, 0% of the predictions of in vivo CLint was within twofold of the observed value, compared to 69% for compounds with a Vd value below 0.5 L/kg. 3.  Compounds with a Mw below 450 g/mol demonstrated more accurate in vivo CLint predictions than compounds with a Mw above 450 g/mol, i.e. 63% compared to 21% within twofold. For compounds with in vivo CL below 30% of the liver blood flow (LBF), 53% of the predictions was within twofold of the observed value, compared to 0% for compounds with CL above 30% of the LBF. 4. We show that accurate IVIVE for acidic compounds with high plasma protein binding and low renal CL can be associated with a low Vd (i.e. around the Vd of albumin) and with a low in vivo CL, and that Mw is an important optimization parameter for pharmacokinetic. This study also further demonstrates the advantages of the application of the regression method for identifying cases when metabolic CL is not the single major elimination pathway.

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Year:  2013        PMID: 23323549     DOI: 10.3109/00498254.2012.755578

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


  1 in total

1.  Using the concordance of in vitro and in vivo data to evaluate extrapolation assumptions.

Authors:  Gregory S Honda; Robert G Pearce; Ly L Pham; R W Setzer; Barbara A Wetmore; Nisha S Sipes; Jon Gilbert; Briana Franz; Russell S Thomas; John F Wambaugh
Journal:  PLoS One       Date:  2019-05-28       Impact factor: 3.240

  1 in total

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