TABLE 3

Prediction of OATP1B-mediated DDIs for rifampin, diltiazem and itraconazole using R-value and endogenous biomarker methods

Data are expressed as mean ± S.D.

DrugsDose RegimenCmaxafubOATP1B1OATP1B3Observed CPI and CPIII AUC(0–24h) ChangesdReported Rosuvastatin and Atorvastatin AUC Changese
IC50cR-ValueIC50cR-Value
μMμMμM
Rifampin600 mg SD30.60.151.16.500.4913.342.84- to 4.11-fold and 2.42-to 3.61-fold, respectively3.03- to 4.67-fold and 4.62- to 12-fold, respectively
Diltiazem240 mg QD for 8 days0.440.222601.031701.051.00 ± 0.10-fold and 1.17 ± 0.44-fold, respectivelyNo data
Itraconazole
Hydroxylitraconazole
Itraconazole + Hydroxylitraconazole200 mg QD for 8 days2.790.036> 100<1.01> 30<1.030.94 ± 0.10-fold and 0.95 ± 0.13-fold, respectively1.78-fold and 5.58-fold, respectively; no increase of pitavastatin AUC
2.850.0050.231.060.101.14
<1.07<1.17
  • fu, Unbound fraction; IC50, concentration required to inhibit transport by 50%; R-value was calculated using the method recommended by FDA, and estimated maximal unbound concentration in hepatic inlet is used for R-value calculation.

  • a Maximum inhibitor plasma concentration following administration of the proposed dose (Barone et al., 1998; Sista et al., 2003; Lai et al., 2016).

  • b Plasma unbound fraction of inhibitors (Templeton et al., 2008; Prueksaritanont et al., 2014, 2017) and Hardman et al., 2001.

  • c Concentrations required to inhibit OATP1B-mediated transport by 50% using statins and estradiol 17β-glucuronide (Yoshida et al., 2012; Shen et al., 2013; Nakakariya et al., 2016; Vermeer et al., 2016).

  • d Data obtained from the present studies and previously reported (Lai et al., 2016).

  • e Data obtained from University of Washington Metabolism and Transport Drug Interaction Database.