Comprehensive Assessment of Human Pharmacokinetic Prediction Based on In Vivo Animal Pharmacokinetic Data, Part 2: Clearance

• Published in: Journal of clinical pharmacology 2013-02, Vol.53 (2), p.178-191
• Main Authors: Lombardo, Franco, Waters, Nigel J., Argikar, Upendra A., Dennehy, Michelle K., Zhan, Jenny, Gunduz, Mithat, Harriman, Shawn P., Berellini, Giuliano, Liric Rajlic, Ivana, Obach, R. Scott
• Format: Article
• Language: English
• Subjects: allometry; Animals; clearance; Dogs; Drug Evaluation, Preclinical; Haplorhini; Humans; interspecies scaling; Metabolic Clearance Rate; Methods; Pharmacokinetics; pharmacokinetics and drug metabolism (PDM); protein binding; Rats; Species Specificity
• ISSN: 0091-2700; 1552-4604
• DOI: 10.1177/0091270012440282

A comprehensive analysis on the prediction of human clearance based on intravenous pharmacokinetic data from rat, dog, and monkey for approximately 400 compounds was undertaken. This data set has been carefully compiled from literature reports and expanded with some in‐house determinations for plasma protein binding and rat clearance. To the authors— knowledge, this is the largest publicly available data set. The present examination offers a comparison of 37 different methods for prediction of human clearance across compounds of diverse physicochemical properties. Furthermore, this work demonstrates the application of each prediction method to each charge class of the compounds, thus presenting an additional dimension to prediction of human pharmacokinetics. In general, the observations suggest that methods employing monkey clearance values and a method incorporating differences in plasma protein binding between rat and human yield the best overall predictions as suggested by approximately 60% compounds within 2‐fold geometric mean‐fold error. Other single‐species scaling or proportionality methods incorporating the fraction unbound in the corresponding preclinical species for prediction of free clearance in human were generally unsuccessful.