Literature DB >> 23085432

Deriving an explicit hepatic clearance equation accounting for plasma protein binding and hepatocellular uptake.

Miyoung Yoon1, Harvey J Clewell, Melvin E Andersen.   

Abstract

High throughput in vitro biochemical and cell-based assays have the promise to provide more mechanism-based assessments of the adverse effects of large numbers of chemicals. One of the most challenging hurdles for interpreting in vitro toxicity findings is the need for reverse dosimetry tools that estimate the exposures that will give concentrations in vivo similar to the active concentrations in vitro. Recent experience using IVIVE approaches to estimate in vivo pharmacokinetics (Wetmore et al., 2012) identified the need to develop a hepatic clearance equation that explicitly accounted for a broader set of protein binding and membrane transport processes and did not depend on a well-mixed description of the liver compartment. Here we derive an explicit steady-state hepatic clearance equation that includes these factors. In addition to the derivation, we provide simple computer code to calculate steady-state extraction for any combination of blood flow, membrane transport processes and plasma protein-chemical binding rates. This expanded equation provides a tool to estimate hepatic clearance for a more diverse array of compounds.
Copyright © 2012 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 23085432     DOI: 10.1016/j.tiv.2012.10.003

Source DB:  PubMed          Journal:  Toxicol In Vitro        ISSN: 0887-2333            Impact factor:   3.500


  3 in total

1.  Assessing Toxicokinetic Uncertainty and Variability in Risk Prioritization.

Authors:  John F Wambaugh; Barbara A Wetmore; Caroline L Ring; Chantel I Nicolas; Robert G Pearce; Gregory S Honda; Roger Dinallo; Derek Angus; Jon Gilbert; Teresa Sierra; Akshay Badrinarayanan; Bradley Snodgrass; Adam Brockman; Chris Strock; R Woodrow Setzer; Russell S Thomas
Journal:  Toxicol Sci       Date:  2019-12-01       Impact factor: 4.849

Review 2.  Considerations for Improving Metabolism Predictions for In Vitro to In Vivo Extrapolation.

Authors:  Marjory Moreau; Pankajini Mallick; Marci Smeltz; Saad Haider; Chantel I Nicolas; Salil N Pendse; Jeremy A Leonard; Matthew W Linakis; Patrick D McMullen; Rebecca A Clewell; Harvey J Clewell; Miyoung Yoon
Journal:  Front Toxicol       Date:  2022-04-29

3.  Neuropharmacological effect of methylphenidate on attention network in children with attention deficit hyperactivity disorder during oddball paradigms as assessed using functional near-infrared spectroscopy.

Authors:  Masako Nagashima; Yukifumi Monden; Ippeita Dan; Haruka Dan; Daisuke Tsuzuki; Tsutomu Mizutani; Yasushi Kyutoku; Yuji Gunji; Mariko Y Momoi; Eiju Watanabe; Takanori Yamagata
Journal:  Neurophotonics       Date:  2014-05-28       Impact factor: 3.593

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.