ABSTRACT:Intestinal first-pass metabolism may contribute to low oral drug bioavailability and drug-drug interactions, particularly for CYP3A substrates. The current analysis predicted intestinal availability (F G ) from in vitro metabolic clearance and permeability data of 25 drugs using the Q Gut model. The drug selection included a wide range of physicochemical properties and in vivo F G values (0.07-0.94). In vitro clearance data (CLu int ) were determined in human intestinal (HIM) and three liver (HLM) microsomal pools (n ؍ 105 donors) using the substrate depletion method. Apparent drug permeability (P app ) was determined in Caco-2 and Madin-Darby canine kidney cells transfected with human MDR1 gene (MDCK-MDR1 cells) under isotonic conditions (pH ؍ 7.4). In addition, effective permeability (P eff ) data, estimated from regression analyses to P app or physicochemical properties were used in the F G predictions. Determined CLu int values ranged from 0.022 to 76.7 l/min/pmol of CYP3A (zolpidem and nisoldipine, respectively). Differences in CLu int values obtained in HIM and HLM were not significant after normalization for tissue-specific CYP3A abundance, supporting their interchangeable usability. The F G predictions were most successful when P app data from Caco-2/MDCK-MDR1 cells were used directly; in contrast, the use of physicochemical parameters resulted in significant F G underpredictions. Good agreement between predicted and in vivo F G was noted for drugs with low to medium intestinal extraction (e.g., midazolam predicted F G value 0.54 and in vivo value 0.51). In contrast, low prediction accuracy was observed for drugs with in vivo F G <0.5, resulting in considerable underprediction in some instances, as for saquinavir (predicted F G is 6% of the observed value). Implications of the findings are discussed.