PT  - JOURNAL ARTICLE
AU  - Yamada, Makiko
AU  - Inoue, Shin-ichi
AU  - Sugiyama, Daisuke
AU  - Nishiya, Yumi
AU  - Ishizuka, Tomoko
AU  - Watanabe, Akiko
AU  - Watanabe, Kengo
AU  - Yamashita, Shinji
AU  - Watanabe, Nobuaki
TI  - Critical Impact of Drug-Drug Interactions via Intestinal CYP3A in the Risk Assessment of Weak Perpetrators Using Physiologically Based Pharmacokinetic Models
AID  - 10.1124/dmd.119.089599
DP  - 2020 Apr 01
TA  - Drug Metabolism and Disposition
PG  - 288--296
VI  - 48
IP  - 4
4099  - http://dmd.aspetjournals.org/content/48/4/288.short
4100  - http://dmd.aspetjournals.org/content/48/4/288.full
SO  - Drug Metab Dispos2020 Apr 01; 48
AB  - A great deal of effort has been being made to improve the accuracy of the prediction of drug-drug interactions (DDIs). In this study, we addressed CYP3A-mediated weak DDIs, in which a relatively high false prediction rate was pointed out. We selected 17 orally administered drugs that have been reported to alter area under the curve (AUC) of midazolam, a typical CYP3A substrate, 0.84–1.47 times. For weak CYP3A perpetrators, the predicted AUC ratio mainly depends on intestinal DDIs rather than hepatic DDIs because the drug concentration in the enterocytes is higher. Thus, DDI prediction using simulated concentration-time profiles in each segment of the digestive tract was made by physiologically based pharmacokinetic (PBPK) modeling software GastroPlus. Although mechanistic static models tend to overestimate the risk to ensure the safety of patients, some underestimation is reported about PBPK modeling. Our in vitro studies revealed that 16 out of 17 tested drugs exhibited time-dependent inhibition (TDI) of CYP3A, and the subsequent DDI simulation that ignored these TDIs provided false-negative results. This is considered to be the cause of past underestimation. Inclusion of the DDI parameters of all the known DDI mechanisms, reversible inhibition, TDI, and induction, which have opposite effects on midazolam AUC, to PBPK model was successful in improving predictability of the DDI without increasing false-negative prediction as trade-off. This comprehensive model-based analysis suggests the importance of the intestine in assessing weak DDIs via CYP3A and the usefulness of PBPK in predicting intestinal DDIs.SIGNIFICANCE STATEMENT Although drug-drug interaction (DDI) prediction has been extensively performed previously, the accuracy of prediction for weak interactions via CYP3A has not been thoroughly investigated. In this study, we simulate DDIs considering drug concentration-time profile in the enterocytes and discuss the importance and the predictability of intestinal DDIs about weak CYP3A perpetrators.