Practical permeability-based hepatic clearance classification system (HepCCS) in drug discovery

Abstract

Background: The use of liver microsomes and hepatocytes to predict total in vivo clearance is standard practice in the pharmaceutical industry; however, metabolic stability data alone cannot always predict in vivo clearance accurately.

Results: Apparent permeability generated from Mardin-Darby canine kidney cells and rat hepatocyte uptake for 33 discovery compounds were obtained.

Conclusion: When there is underprediction of in vivo clearance, compounds with low apparent permeability (less than 3 × 10(-6) cm/s) all exhibited hepatic uptake. A systematic approach in the form of a classification system (hepatic clearance classification system) and decision tree that will help drug discovery scientists understand in vitro-in vivo clearance prediction disconnect early is proposed.