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Research ArticleArticle

A Strategy for Assessing Potential Drug-Drug Interactions of a Concomitant Agent against a Drug Absorbed via an Intestinal Transporter in Humans

Akiko Mizuno-Yasuhira, Yasuhiro Nakai, Emi Gunji, Saeko Uchida, Teisuke Takahashi, Kohnosuke Kinoshita, Shigeji Jingu, Soichi Sakai, Yoshishige Samukawa and Jun-ichi Yamaguchi
Drug Metabolism and Disposition September 2014, 42 (9) 1456-1465; DOI: https://doi.org/10.1124/dmd.114.058305
Akiko Mizuno-Yasuhira
Departments of Drug Safety and Pharmacokinetics Laboratories, Saitama, Japan (A.M.-Y., K.K., S.J., J.Y.) and Molecular Function and Pharmacology Laboratories (E.G., S.U., T.T.), Taisho Pharmaceutical Co., Ltd., Saitama, Japan; Departments of Development Headquarters, (Y.N., Y.S.); and Clinical Research (S.S.), Taisho Pharmaceutical Co. Ltd., Tokyo, Japan (S.S.)
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Yasuhiro Nakai
Departments of Drug Safety and Pharmacokinetics Laboratories, Saitama, Japan (A.M.-Y., K.K., S.J., J.Y.) and Molecular Function and Pharmacology Laboratories (E.G., S.U., T.T.), Taisho Pharmaceutical Co., Ltd., Saitama, Japan; Departments of Development Headquarters, (Y.N., Y.S.); and Clinical Research (S.S.), Taisho Pharmaceutical Co. Ltd., Tokyo, Japan (S.S.)
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Emi Gunji
Departments of Drug Safety and Pharmacokinetics Laboratories, Saitama, Japan (A.M.-Y., K.K., S.J., J.Y.) and Molecular Function and Pharmacology Laboratories (E.G., S.U., T.T.), Taisho Pharmaceutical Co., Ltd., Saitama, Japan; Departments of Development Headquarters, (Y.N., Y.S.); and Clinical Research (S.S.), Taisho Pharmaceutical Co. Ltd., Tokyo, Japan (S.S.)
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Saeko Uchida
Departments of Drug Safety and Pharmacokinetics Laboratories, Saitama, Japan (A.M.-Y., K.K., S.J., J.Y.) and Molecular Function and Pharmacology Laboratories (E.G., S.U., T.T.), Taisho Pharmaceutical Co., Ltd., Saitama, Japan; Departments of Development Headquarters, (Y.N., Y.S.); and Clinical Research (S.S.), Taisho Pharmaceutical Co. Ltd., Tokyo, Japan (S.S.)
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Teisuke Takahashi
Departments of Drug Safety and Pharmacokinetics Laboratories, Saitama, Japan (A.M.-Y., K.K., S.J., J.Y.) and Molecular Function and Pharmacology Laboratories (E.G., S.U., T.T.), Taisho Pharmaceutical Co., Ltd., Saitama, Japan; Departments of Development Headquarters, (Y.N., Y.S.); and Clinical Research (S.S.), Taisho Pharmaceutical Co. Ltd., Tokyo, Japan (S.S.)
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Kohnosuke Kinoshita
Departments of Drug Safety and Pharmacokinetics Laboratories, Saitama, Japan (A.M.-Y., K.K., S.J., J.Y.) and Molecular Function and Pharmacology Laboratories (E.G., S.U., T.T.), Taisho Pharmaceutical Co., Ltd., Saitama, Japan; Departments of Development Headquarters, (Y.N., Y.S.); and Clinical Research (S.S.), Taisho Pharmaceutical Co. Ltd., Tokyo, Japan (S.S.)
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Shigeji Jingu
Departments of Drug Safety and Pharmacokinetics Laboratories, Saitama, Japan (A.M.-Y., K.K., S.J., J.Y.) and Molecular Function and Pharmacology Laboratories (E.G., S.U., T.T.), Taisho Pharmaceutical Co., Ltd., Saitama, Japan; Departments of Development Headquarters, (Y.N., Y.S.); and Clinical Research (S.S.), Taisho Pharmaceutical Co. Ltd., Tokyo, Japan (S.S.)
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Soichi Sakai
Departments of Drug Safety and Pharmacokinetics Laboratories, Saitama, Japan (A.M.-Y., K.K., S.J., J.Y.) and Molecular Function and Pharmacology Laboratories (E.G., S.U., T.T.), Taisho Pharmaceutical Co., Ltd., Saitama, Japan; Departments of Development Headquarters, (Y.N., Y.S.); and Clinical Research (S.S.), Taisho Pharmaceutical Co. Ltd., Tokyo, Japan (S.S.)
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Yoshishige Samukawa
Departments of Drug Safety and Pharmacokinetics Laboratories, Saitama, Japan (A.M.-Y., K.K., S.J., J.Y.) and Molecular Function and Pharmacology Laboratories (E.G., S.U., T.T.), Taisho Pharmaceutical Co., Ltd., Saitama, Japan; Departments of Development Headquarters, (Y.N., Y.S.); and Clinical Research (S.S.), Taisho Pharmaceutical Co. Ltd., Tokyo, Japan (S.S.)
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Jun-ichi Yamaguchi
Departments of Drug Safety and Pharmacokinetics Laboratories, Saitama, Japan (A.M.-Y., K.K., S.J., J.Y.) and Molecular Function and Pharmacology Laboratories (E.G., S.U., T.T.), Taisho Pharmaceutical Co., Ltd., Saitama, Japan; Departments of Development Headquarters, (Y.N., Y.S.); and Clinical Research (S.S.), Taisho Pharmaceutical Co. Ltd., Tokyo, Japan (S.S.)
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  • Fig. 1.
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    Fig. 1.

    Chemical structures of luseogliflozin (A), phlorizin (B), and miglitol (C).

  • Fig. 2.
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    Fig. 2.

    Plasma concentration-time profiles for luseogliflozin and phlorizin in rats. (A-1 and B-1) Two-compartment model-fitted profiles in rats after the single intravenous administration of luseogliflozin (0.1 mg/kg) (A-1) and phlorizin (4 mg/kg) (B-1). The closed circles represent the mean observed data +S.D. (n = 3). The solid lines were fitted using a nonlinear least-squares regression analysis. The PK parameters (CL, Vc, k12, k21) in rats for simulating luminal concentrations were obtained by this fitting to the observed data. (A-2 and B-2) Simulated concentration-time profiles in rats after the single oral administration of luseogliflozin (0.1 mg/kg) (A-2) and phlorizin (40 mg/kg) (B-2). The closed circles represent the mean observed data + S.D. (n = 6). The solid lines represent the model-simulated profiles, which were obtained using the ACAT model in GastroPlus.

  • Fig. 3.
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    Fig. 3.

    Simulated luminal concentration-time profiles in rat duodenum (red line) and TAIC after the single oral administration of luseogliflozin (0.1 mg/kg) (A) and phlorizin (40 mg/kg) (B). The dashed lines represent a value 10-fold higher than the IC50 value for SGLT1. The TAIC of luseogliflozin in rats (9 minutes) was shorter than the Tmax of miglitol in rats (28 minutes). On the other hand, the TAIC of phlorizin in rats (75 minutes) was longer.

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    Fig. 4.

    Plasma levels of miglitol in rats following the oral administration of miglitol alone (1.5 mg/kg, red line) or in combination with concomitant agents. (A) Combination with luseogliflozin (0.1 mg/kg, blue line). (B) Combination with phlorizin (40 mg/kg, green line). The closed circles and triangles represent the observed mean data ± S.D. (n = 6). The data for miglitol alone was referenced from Mizuno-Yasuhira et al. (2014).

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    Fig. 5.

    Plasma concentration-time profiles for luseogliflozin in humans. The closed circles represent the mean observed data +S.D. (n = 12). (A-1) Two-compartment model-fitted profiles in humans after the single intravenous administration of luseogliflozin (5 mg/individual). The solid line was fitted using a nonlinear least-squares regression analysis. The PK parameters (CL/F, Vc/F, k12, k21) in humans for simulating luminal concentrations were obtained by this fitting to the observed data. (A-2) Simulated concentration-time profiles in humans after the single oral administration of luseogliflozin (5 mg/individual). The solid lines represent the model-simulated profiles, which were obtained using the ACAT model in GastroPlus.

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    Fig. 6.

    Simulated luminal concentration-time profiles in human duodenum (red line), upper jejunum (green line), and TAIC after the single oral administration of luseogliflozin (5 mg/individual). The dashed line represents a value 10-fold higher than the IC50 value for SGLT1. The TAIC of luseogliflozin in humans (14 minutes) was shorter than the Tmax of miglitol in humans (83 minutes).

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    Fig. 7.

    Plasma levels of miglitol in humans following the oral administration of miglitol alone (50 mg/individual, red line) or in combination with luseogliflozin (5 mg/individual, blue line). The closed circles and triangles represent the observed mean data ± S.D. (n = 12).

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    Fig. 8.

    Potential influence of Peff value on the Tmax and Cmax values. The Tmax of luseogliflozin and the Tmax and Cmax of phlorizin were simulated using different values for Peff with other parameters fixed at the same values, as shown in Table 1.

Tables

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    TABLE 1

    Input parameters for GastroPlus that were used to simulate the luminal concentrations

    PropertyLuseogliflozin in RatsPhlorizin in RatsLuseogliflozin in Humans
    Input DataReference/RemarksInput DataReference/RemarksInput DataReference/Remarks
    Physicochemical parameters
     Molecular formulaC23H30O6S—C21H24O10—C23H30O6S—
     Molecular weight (g/mol)434.55—436.42—434.55—
     Reference logP (pH)2.2 (-1)In-house data0.25 (-1)Estimated by ADMET Predictor2.2 (-1)In-house data
     Dosage formIR: solution—IR: suspension—IR: tablet—
     Initial dose (mg)0.03—12—5—
     Dose volume (ml)2—2—250—
     Solubility (mg/ml at pH = 6.57)0.0771In-house data9.27 (mg/ml at pH = 4.49)Estimated by ADMET Predictor0.0771In-house data
     Diff. coeff. (cm2/s × 105)0.60Estimated by ADMET Predictor0.64Estimated by ADMET Predictor0.60Estimated by ADMET Predictor
     Mean particle radius (μm)3.03In-house data25.0Default value1.22In-house data
     Peff (cm/s × 104)6.23Estimated from Ka0.558Estimated from Ka27.5Estimated from Ka
    Gut physiology
     PhysiologyRat-fastedThe stomach transit time was changed to 0.1 h.Rat-fastedThe stomach transit time was changed to 0.1 h.Human-fasted—
     ASF modelOpt logD model SA/V6.1—Opt logD model SA/V6.1—Opt logD model SA/V6.1—
    Pharmacokinetic parameters
     Body weight (kg)0.30—0.30—60—
     FPE intestinal45.7Estimated98.8Estimated0—
     FPE liver73.3Estimated65.4Estimated0—
     Blood/plasma concentration ratio0.536In-house data0.930Estimated by ADMET Predictor0.599In-house data
     Fup (%)5.40In-house data6.71Estimated by ADMET Predictor4.00In-house data
     Renal clearance (l/h/kg)0—0—0—
     Model2-compartment—2-compartment—2-compartment—
     CL (l/h)0.495Fitted from 0.1 mg/kg iv data0.766Fitted from 4 mg/kg iv dataCL/F (l/h)Fitted from 5 mg/individual po data
     2.83
     Vc (l/kg)1.210.877Vc/F (l/kg)
     0.358
     k12(1/h)0.3840.03520.433
     k21 (1/h)0.2710.5350.583
    • ASF, absorption scaling factor; Diff. coeff., diffusion coefficient; Fup, plasma unbound fraction; IR, immediate release; po, oral.

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    TABLE 2

    Dose regimens and formulations used in the pharmacokinetic and interaction studies in rats

    StudyCompoundRouteNDose (mg/kg)Conc. (mg/ml)VehicleFormulation
    PharmacokineticsLuseoglifloziniv30.10.110% HP-β-CDSolution
    Phloriziniv344PEG400/saline (4:6,v/v)Solution
    Luseogliflozinpo60.10.015a0.5% CMC-NaSolution
    Phlorizinpo64060.5% CMC-NaSuspension
    InteractionMiglitol alonebpo61.50.225a0.5% CMC-NaSolution
    CombinationMiglitolpo61.50.225a0.5% CMC-NaSolution
    Luseogliflozin0.10.015a
    CombinationMiglitolpo61.50.225a0.5% CMC-NaSuspension
    Phlorizin406
    • CMC-Na, carboxy methyl cellulose sodium; Conc., concentration; 10% HP-β-CD, 10% hydroxy propyl β cyclodextrin; N, number of animals; PEG400, polyethlene glycol 400; po, oral.

    • ↵a The concentration values were set based on the clinical dose regimens.

    • ↵b Referred from Mizuno-Yasuhira et al., 2014.

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    TABLE 3

    Related parameters for the prediction of drug-drug interaction potential

    Luseogliflozin in RatsPhlorizin in RatsLuseogliflozin in Humans
    10-fold of SGLT1 IC50 (μg/ml)3.892.7512.6
    Dose0.1 mg/kg40 mg/kg5 mg/individual
    Tmax of miglitol (min)28a28a83
    TAIC (min)b97514
    TAIC/Tmax (%)b3226817
    • ↵a Referenced from Mizuno-Yasuhira et al., 2014.

    • ↵b Also shown in Figs. 3 and 6.

    • View popup
    TABLE 4

    Summary of statistical analysis of miglitol pharmacokinetic parameters in rats

    CombinationParameterRatio of Geometric Mean
    Point Estimate90% CI (Combination/Miglitol Alone)
    LowerUpper
    Miglitol and luseogliflozinCmax0.970.851.09
    AUC0-t1.121.041.20
    Miglitol and phlorizinCmax0.41*0.23*0.72*
    AUC0-t0.63*0.38*1.02
    • ↵* The 90% CIs of the ratio (combination/miglitol alone) was outside the range of 0.8–1.25.

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Drug Metabolism and Disposition: 42 (9)
Drug Metabolism and Disposition
Vol. 42, Issue 9
1 Sep 2014
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Research ArticleArticle

Prediction of Transporter-Mediated DDI Using a Dynamic Model

Akiko Mizuno-Yasuhira, Yasuhiro Nakai, Emi Gunji, Saeko Uchida, Teisuke Takahashi, Kohnosuke Kinoshita, Shigeji Jingu, Soichi Sakai, Yoshishige Samukawa and Jun-ichi Yamaguchi
Drug Metabolism and Disposition September 1, 2014, 42 (9) 1456-1465; DOI: https://doi.org/10.1124/dmd.114.058305

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Research ArticleArticle

Prediction of Transporter-Mediated DDI Using a Dynamic Model

Akiko Mizuno-Yasuhira, Yasuhiro Nakai, Emi Gunji, Saeko Uchida, Teisuke Takahashi, Kohnosuke Kinoshita, Shigeji Jingu, Soichi Sakai, Yoshishige Samukawa and Jun-ichi Yamaguchi
Drug Metabolism and Disposition September 1, 2014, 42 (9) 1456-1465; DOI: https://doi.org/10.1124/dmd.114.058305
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