Prediction of in vivo drug interaction from in vitro systems exemplified by interaction between verapamil and cimetidine using human liver microsomes and primary hepatocytes

Assessment of drug-drug interactions: concepts and approaches

1. A priori knowledge of the enzyme inhibitory potential of new drug entities and the drug-metabolizing enzymes involved can be used in support of important decisions on the future progress of a drug in clinical development. 2. Important advances in the knowledge of human drug-metabolizing enzymes have largely fuelled the integration of in vitro drug metabolism and clinical drug interaction studies for use in drug development programmes. 3. The likelihood of correctly predicting in vivo drug-drug interactions appears highly dependent on selecting the correct enzyme inhibition model for use in deriving the inhibitor constant (Ki) and correctly determining the available concentration of inhibitor at the active site of the enzyme(s) of interest. 4. The uncertainty and inaccuracy of predicting the extent and duration of in vivo drug interactions currently stems from a lack of definitive models by which to assess likely substrate and inhibitor concentrations at the active site of metabolism. Additional issues contributing to the uncertainty of predicting drug interactions include assumptions of the contribution of presystemic drug extraction and the effect of inhibitors on the processes involved. 5. This review considers the practical aspects of in vitro enzyme inhibition studies and the use of in vitro-in vivo correlation approaches described in the literature to predict in vivo drug-drug interactions.

FDA evaluations using in vitro metabolism to predict and interpret in vivo metabolic drug-drug interactions: impact on labeling

Recent advances in in vitro metabolism methods have led to an improved ability to predict clinically relevant metabolic drug-drug interactions. To address the relationships of in vitro metabolism data and in vivo metabolism outcomes, the Office of Clinical Pharmacology and Biopharmaceutics in the Center for Drug Evaluation and Research, Food and Drug Administration, evaluated a number of recently approved new drug applications. The goal of these evaluations was to determine the contribution of in vitro metabolism data in (1) predicting in vivo drug-drug interactions, (2) determining the need to conduct an in vivo drug-drug interaction study, and (3) incorporating findings into drug product labeling. Ten cases are presented in this article. They fall into two major groups: (1) in vitro data were predictive of in vivo results, and (2) in vitro data were not predictive of in vivo results. Discussion of these cases highlights factors limiting predictability of in vivo metabolic interactions from in vitro metabolism data. The integration of these findings into drug product labeling is also discussed.

Advances in drug metabolism screening

Developments in automation, analytical technologies and molecular biology are being exploited by drug metabolism scientists in order to provide enhanced in vitro systems for the study of the metabolic disposition of potential drug candidates. Routine investigation of factors such as metabolic stability and induction and inhibition of drug metabolizing enzymes is now preferred in the early stages of drug discovery. This, in turn, should provide a greater understanding of the underlying principles governing these processes and allow a greater role for drug metabolism in the design of new drug molecules.