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The effect of food on pharmacokinetic properties of drugs is a commonly observed occurrence affecting about 40% of orally administered drugs. Within the pharmaceutical industry, significant resources are invested to predict and characterize a clinically relevant food effect. Here, the predictive performance of physiologically based pharmacokinetic (PBPK) food effect models was assessed via de novo mechanistic absorption models for 30 compounds using controlled, pre-defined in vitro, and modeling methodology. Compounds for which absorption was known to be limited by intestinal transporters were excluded in this analysis. A decision tree for model verification and optimization was followed, leading to high, moderate, or low food effect prediction confidence. High (within 0.8- to 1.25-fold) to moderate confidence (within 0.5- to 2-fold) was achieved for most of the compounds (15 and 8, respectively). While for 7 compounds, prediction confidence was found to be low ( 2-fold). There was no clear difference in prediction success for positive or negative food effects and no clear relationship to the BCS category of tested drug molecules. However, an association could be demonstrated when the food effect was mainly related to changes in the gastrointestinal luminal fluids or physiology, including fluid volume, motility, pH, micellar entrapment, and bile salts. Considering these findings, it is recommended that appropriately verified mechanistic PBPK modeling can be leveraged with high to moderate confidence as a key approach to predicting potential food effect, especially related to mechanisms highlighted here.

The effect of food on pharmacokinetic properties of drugs is a commonly observed occurrence affecting about 40% of orally administered drugs. Within the pharmaceutical industry, significant resources are invested to predict and characterize a clinically relevant food effect. Here, the predictive performance of physiologically based pharmacokinetic (PBPK) food effect models was assessed via de novo mechanistic absorption models for 30 compounds using controlled, pre-defined in vitro, and modeling methodology. Compounds for which absorption was known to be limited by intestinal transporters were excluded in this analysis. A decision tree for model verification and optimization was followed, leading to high, moderate, or low food effect prediction confidence. High (within 0.8- to 1.25-fold) to moderate confidence (within 0.5- to 2-fold) was achieved for most of the compounds (15 and 8, respectively). While for 7 compounds, prediction confidence was found to be low (> 2-fold). There was no clear difference in prediction success for positive or negative food effects and no clear relationship to the BCS category of tested drug molecules. However, an association could be demonstrated when the food effect was mainly related to changes in the gastrointestinal luminal fluids or physiology, including fluid volume, motility, pH, micellar entrapment, and bile salts. Considering these findings, it is recommended that appropriately verified mechanistic PBPK modeling can be leveraged with high to moderate confidence as a key approach to predicting potential food effect, especially related to mechanisms highlighted here. Electronic supplementary material The online version of this article (10.1208/s12248-020-00508-2) contains supplementary material, which is available to authorized users.

The purpose of this study was to determine the impact of CYP3A5 expression on inhibitory potency (Ki or IC50 values) of CYP3A inhibitors, using recombinant CYP3A4 and CYP3A5 (rCYP3A4 and rCYP3A5) and CYP3A5 genotyped human liver microsomes (HLMs). IC50 ratios between rCYP3A4 and rCYP3A5 (rCYP3A5/rCYP3A4) of ketoconazole (KTZ) and itraconazole (ITZ) were 8.5 and 8.8 for midazolam (MDZ), 4.7 and 9.1 for testosterone (TST), 1.3 and 2.8 for terfenadine, and 0.6 and 1.7 for vincristine, respectively, suggesting substrate- and inhibitor-dependent selectivity of the two azoles. Due to the difference in the IC50 values for CYP3A4 and CYP3A5, nonconcordant expression of CYP3A4 and CYP3A5 protein can significantly affect the observed magnitude of CYP3A-mediated drug-drug interactions in humans. Indeed, the IC50 values of KTZ and ITZ for CYP3A-catalyzed MDZ and TST metabolism were significantly higher in HLMs with CYP3A5*1/*1 and CYP3A5*1/*3 genotypes than in HLMs with the CYP3A5*3/*3 genotype, showing CYP3A5 expression-dependent IC50 values. Moreover, when IC50 values of KTZ and ITZ for different HLMs were kinetically simulated based on CYP3A5 expression level and enzyme-specific IC50 values, a good correlation between the simulated and the experimentally measured IC50 values was observed. Further simulation analysis revealed that both the Ki ratio (for inhibitors) and Vmax/Km ratio (for substrates) between CYP3A4 and CYP3A5 were major factors for CYP3A5 expression-dependent IC50 values. In conclusion, the present study demonstrates that CYP3A5 genotype and expression level have a significant impact on inhibitory potency for CYP3A-catalyzed drug metabolism, but that the magnitude of its effect is inhibitor-substrate pair specific.

Itraconazole (ITZ) is a mixture of four cis-stereoisomers that inhibit CYP3A4 potently and coordinate CYP3A4 heme via the triazole nitrogen. However, (2R,4S,2'R)-ITZ and (2R,4S,2'S)-ITZ also undergo stereoselective sequential metabolism by CYP3A4 at a site distant from the triazole ring to 3'-OH-ITZ, keto-ITZ, and N-desalkyl-ITZ. This stereoselective metabolism demonstrates specific interactions of ITZ within the CYP3A4 active site. To further investigate this process, the binding and metabolism of the four trans-ITZ stereoisomers by CYP3A4 were characterized. All four trans-ITZ stereoisomers were tight binding inhibitors of CYP3A4-mediated midazolam hydroxylation (IC(50) 16-26 nM), and each gave a type II spectrum upon binding to CYP3A4. However, instead of formation of 3'-OH-ITZ, they were oxidized at the dioxolane ring, leading to ring scission and formation of two new metabolites of ITZ. These two metabolites were also formed from the four cis-ITZ stereoisomers, although not as efficiently. The catalytic rates of dioxolane ring scission were similar to the dissociation rates of ITZ stereoisomers from CYP3A4, suggesting that the heme iron is reduced while the triazole moiety coordinates to it and no dissociation of ITZ is necessary before catalysis. The triazole containing metabolite [1-(2,4-dichlorophenyl)-2-(1H-1,2,4-triazol-1-yl)ethanone] also inhibited CYP3A4 (IC(50)15 μM) and showed type II binding with CYP3A4. The dioxolane ring scission appears to be clinically relevant because this metabolite was detected in urine samples from subjects that had been administered the mixture of cis-ITZ isomers. These data suggest that the dioxolane ring scission is a metabolic pathway for drugs that contain this moiety.

RORγt is a pivotal regulator of a pro-inflammatory gene expression program implicated in the pathology of several major human immune-mediated diseases. Evidence from mouse models demonstrates that genetic or pharmacological inhibition of RORγ activity can block the production of pathogenic cytokines, including IL-17, and convey therapeutic benefit. We have identified and developed a biaryl-carboxylamide series of RORγ inverse agonists via a structure based design approach. Co-crystal structures of compounds 16 and 48 supported the design approach and confirmed the key interactions with RORγ protein; the hydrogen bonding with His479 was key to the significant improvement in inverse agonist effect. The results have shown this is a class of potent and selective RORγ inverse agonists, with demonstrated oral bioavailability in rodents.

Objective: Development and validation of a novel assay, the Plated Hepatocyte Relay Assay (PHRA), for the determination of the metabolic fates of slowly metabolized compounds. Method: Cryopreserved human hepatocytes were cultured for 4 h followed by incubation with slowly metabolized compounds for 24 h (initial incubation). On the next day, the incubated media were collected and added to hepatocytes was similarly prepared on the day of incubation (48 h incubation; 1 st relay). The procedures were repeated on the next days (72 h (2 nd relay), 96 h (3rd relay), and 120 h (4 th relay) incubations). Results: A proof-of-concept study with two low clearance compounds, diazepam and tolbutamide, and a validation study with 15 ultra-low clearance compounds (CL non-renal non-renal 1- 5.1 mL/min/kg) were performed. Linear time-dependent disappearance of the parent compounds was observed for all compounds. Application of published free fraction values in combination with a correction factor with in vitro hepatic clearance results obtained with the PHRA accurately predicted in vivo hepatic clearance. Conclusion: PHRA represents a useful experimental system for the evaluation of the metabolic fates of low clearance compounds in drug development..

Cytochrome P450 2C9 (2C9) is one of the three major drug metabolizing cytochrome P450 enzymes in human liver. Although the crystal structure of 2C9 has been solved, the important physicochemical properties of substrate-enzyme interactions remain difficult to be determined. This is due in part to the conformational flexibility of mammalian P450 enzymes. Therefore, probing the active-site with high-affinity substrates is important in further understanding substrate-enzyme interactions. Three-dimensional quantitative structure-activity relationships (3D-QSAR) and docking experiments have been shown to be useful tools in correlating biological activity with structure. In particular we have previously reported that the very tight-binding inhibitor benzbromarone can provide important information about the active-site of 2C9. In this study we report the binding affinities and potential substrate-enzyme interactions of 4H-chromen-4-one analogs, which are structurally similar to benzbromarone. The chromenone structures are synthetically accessible inhibitors and give inhibition constants as low as 4.2 nM, comparable with the very tightest-binding inhibitors of 2C9. Adding these compounds to our previous 2C9 libraries for CoMFA models reinforces the important electrostatic and hydrophobic features of substrate binding. These compounds have also been docked in the 2C9 crystal structure and the results indicate that Arg 108 plays significant roles in the binding of chromenone substrates.