DMD

Home Help [Feedback] [For Subscribers] [Archive] [Search] --
 QUICK SEARCH:   [advanced]


     


Drug Metabolism and Disposition Fast Forward
First published on March 20, 2008; DOI: 10.1124/dmd.108.020446


This Article
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
dmd.108.020446v1
36/6/1126    most recent
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by McGinnity, D. F
Right arrow Articles by Riley, R. J.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by McGinnity, D. F
Right arrow Articles by Riley, R. J.


Received for publication January 14, 2008.
Revised March 17, 2008.
Accepted for publication March 17, 2008.

Integrated in vitro analysis for the in vivo prediction of cytochrome P450 mediated drug-drug interactions

Dermot F McGinnity 1*, Nigel J Waters 2, James Tucker 1, Rob J. Riley 3

1 AstraZeneca 2 Novartis 3 AstraZeneca Charnwood

* Address correspondence to: E-mail: dermot.f.mcginnity{at}astrazeneca.com

Abstract

Unbound IC50 (IC50,u) values of 15 drugs were determined in 8 recombinantly expressed human CYPs and human hepatocytes, and the data used to simulate clinical area under the plasma concentration-time curve changes ({delta}AUC) upon co-administration with prototypic CYP2D6 substrates. Significant differences in IC50,u values between enzymes sources were observed for quinidine (0.02 µM in rCYP2D6 vs. 0.5 µM in hepatocytes) and propafenone (0.02 vs. 4.1 µM). The relative contribution of individual CYPs towards the oxidative metabolism of clinical probes desipramine, imipramine, tolterodine, propranolol and metoprolol were estimated via determinations of CLint using rCYPs. Simulated {delta}AUC were compared to those observed in vivo via the ratios of unbound inhibitor concentration at the entrance to the liver to inhibition constants determined against rCYPs ([I]in,u:Ki) and incorporating parallel substrate elimination pathways. For this dataset, there were 20% false negatives (observed {delta}AUC ≥ 2, predicted {delta}AUC < 2), 77% correct predictions and 3% false positives. The [I]in,u:Ki approach thus appears relatively successful at estimating the degree of clinical interactions and can be incorporated into drug discovery strategies. Using Simcyp ADME simulator® there were 3% false negatives, 94% correct simulations and 3% false positives. False negative predictions were rationalised as a result of mechanism-based inhibition, production of inhibitory metabolites and/or hepatic uptake. Integrating inhibition and reaction phenotyping data from automated rCYP screens has shown applicability to predict the occurrence and degree of in vivo DDI and such data may identify the clinical consequences for candidate drugs as both 'perpetrators' and 'victims' of CYP mediated interactions.


Key words: CYP inhibition, CYP2D, drug discovery, drug interactions, drug-drug interactions, enzyme inhibitors, hepatocytes, isolated hepatocytes, mechanism-based inhibition, recombinant proteins


This article has been cited by other articles:


Home page
Drug Metab. Dispos.Home page
D. A. Rock, R. S. Foti, and J. T. Pearson
The Combination of Chemical and Antibody Inhibitors for Superior P450 3A Inhibition in Reaction Phenotyping Studies
Drug Metab. Dispos., December 1, 2008; 36(12): 2410 - 2413.
[Abstract] [Full Text] [PDF]




Home Help [Feedback] [For Subscribers] [Archive] [Search] --
All ASPET Journals Molecular Pharmacology Pharmacological Reviews
 Molecular Interventions Drug Metabolism and Disposition

Copyright © 2008 by the American Society for Pharmacology and Experimental Therapeutics.