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Research ArticleSpecial Section on Transporters in Drug Disposition and Pharmacokinetic Prediction

Prediction of the Effects of Renal Impairment on Clearance for Organic Cation Drugs that Undergo Renal Secretion: A Simulation-Based Study

Kristin E. Follman and Marilyn E. Morris
Drug Metabolism and Disposition May 2018, 46 (5) 758-769; DOI: https://doi.org/10.1124/dmd.117.079558
Kristin E. Follman
Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, New York
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Marilyn E. Morris
Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, New York
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Figures

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  • Fig. 1.
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    Fig. 1.

    Schematic representation of metformin transport in the kidney. OCT2 and MATE1 participate in the active secretion of metformin. Metformin is taken up from the blood via OCT2 and transported into the proximal tubule cell. Metformin is effluxed out of the proximal tubule cell via MATE1 and MATE2-K.

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    Fig. 2.

    Impact of RI on the dose dependency of metformin. Simulations were performed in Simcyp with oral metformin at 500, 1250, and 2000 mg. Simulations were performed in a male population with healthy and RI populations. Sim-healthy volunteers, Sim_RenalGFR_30-60, and Sim_RenalGFR_less_30 populations were used to represent GFRs of 100%, 50%, and 10%, respectively. Each simulation included 10 trials with 10 subjects in each.

  • Fig. 3.
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    Fig. 3.

    Impact of RI and drug transporter expression on the renal clearance of metformin. Simulations were performed in Simcyp with Sim-healthy volunteers, Sim_RenalGFR_30-60, and Sim_RenalGFR_less_30 populations to represent GFRs of 100%, 50%, and 10%, respectively. A dose of 2000 mg of metformin was administered in a fasted state to an exclusively male population. Expression of OCT2 and MATE1 was changed by altering Jmax ±2- or ±5-fold. Each simulation included 10 trials with 10 subjects in each.

  • Fig. 4.
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    Fig. 4.

    Effect of RI and inhibition on the renal clearance of metformin in males. Simulations were performed in Simcyp with Sim-healthy volunteers, Sim_RenalGFR_30-60, and Sim_RenalGFR_less_30 populations to represent GFRs of 100%, 50%, and 10%, respectively. A dose of 2000 mg of metformin was administered in a fasted state to an exclusively male population. Inhibition was incorporated through the parameter, R ([I]/Ki), which modified KM or Jmax for competitive and noncompetitive inhibition, respectively. R was varied from 0 to 100 to investigate varying levels of inhibition. Inhibition was applied to each transporter (OCT2/MATE1) separately. (A) Noncompetitive inhibition of OCT2. (B) Noncompetitive inhibition of MATE1. Each simulation included 10 trials with 10 subjects in each.

  • Fig. 5.
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    Fig. 5.

    Effect of RI and fraction unbound on the renal clearance of metformin with varying expression of OCT2 and MATE1 in males. Simulations were performed in Simcyp with Sim-healthy volunteers, Sim_RenalGFR_30-60, and Sim_RenalGFR_less_30 populations to represent GFRs of 100%, 50%, and 10%, respectively. A dose of 2000 mg of metformin was administered in a fasted state to an exclusively male population. Fraction unbound was varied from 0.1 to 1.0. Expression of OCT2 and MATE1 was altered by increasing or decreasing Jmax 2- or 5-fold. (A) Original expression (Jmax) of OCT2/MATE1. (B and D) ±2-fold expression (Jmax) of OCT2/MATE1. (C and E) ±5-fold expression (Jmax) of OCT2/MATE1. Each simulation included 10 trials with 10 subjects in each.

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    Fig. 6.

    Effect of RI and fraction unbound on the renal clearance of metformin with accompanying inhibition of OCT2. Simulations were performed in Simcyp with Sim-healthy volunteers (A), Sim_RenalGFR_30-60 (B), and Sim_RenalGFR_less_30 (C) populations to represent GFRs of 100%, 50%, and 10%, respectively. A dose of 2000 mg of metformin was administered in a fasted state to an exclusively male population. Fraction unbound was varied from 0.1 to 1.0. R ([I]/Ki), which modified KM and Jmax for uncompetitive inhibition. R was varied from 0 to 100 to investigate varying levels of inhibition. Each simulation included 10 trials with 10 subjects in each.

  • Fig. 7.
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    Fig. 7.

    Effect of RI and fraction unbound on the renal clearance of metformin with accompanying inhibition of MATE1. Simulations were performed in Simcyp with Sim-healthy volunteers (A), Sim_RenalGFR_30-60 (B), and Sim_RenalGFR_less_30 (C) populations to represent GFRs of 100%, 50%, and 10%, respectively. A dose of 2000 mg of metformin was administered in a fasted state to an exclusively male population. Fraction unbound was varied from 0.1 to 1.0. R ([I]/Ki), which modified KM and Jmax for uncompetitive inhibition. R was varied from 0 to 100 to investigate varying levels of inhibition. Each simulation included 10 trials with 10 subjects in each.

  • Fig. 8.
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    Fig. 8.

    Metformin plasma profiles for observed and simulated renally impaired populations. Observed plasma concentrations for metformin were plotted (black dots) for both moderate (A and B) and severe (C and D) renally impaired populations following an 850-mg oral dose of metformin obtained from Sambol et al. (1995). The mean, 5th, and 95th percentile data from simulations with Simcyp were then overlaid with the observed data for comparison. Simulations were performed with demographics and study conditions to match Sambol et al. (1995). The pictured simulations include the base Simcyp RI population and the most improved simulation as determined by improvement in the prediction/observed values for parameters given in Table 1. (A) Sim_RenalGFR_30-60. (B) Sim_RenalGFR_30-60 with 20% OCT2 expression (compared with normal expression). (C) Sim_RenalGFR_less_30 (D) Sim_RenalGFR_less_30 with OCT2 inhibition of R2 (competitive). Each simulation included 10 trials with 10 subjects in each.

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    Fig. 9.

    Ranitidine plasma profiles for observed and simulated renally impaired populations. Observed plasma concentrations for ranitidine were plotted (black dots) for both moderate (A and B) and severe (C and D) renally impaired populations following a 50-mg intravenous dose of ranitidine obtained from Koch et al. (1997). The mean, 5th, and 95th percentile data from simulations with Simcyp were then overlaid with the observed data for comparison. Simulations were performed with demographics and study conditions to match Koch et al. (1997). The pictured simulations include the base Simcyp RI population and the most improved simulation as determined by improvement in the prediction/observed values for parameters given in Table 2. (A) Sim_RenalGFR_30-60. (B) Sim_RenalGFR_30-60 with 10% OAT3 expression (compared with normal expression) and OAT3 inhibition of R4 (competitive). (C) Sim_RenalGFR_less_30. (D) Sim_RenalGFR_less_30 with 10% OAT3 expression (compared with normal expression), OAT3 inhibition of R4 (competitive), 20% OCT2 expression (compared with normal expression), and OCT2 inhibition of R2 (competitive). Each simulation included 10 trials with 10 subjects in each.

  • Fig. 10.
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    Fig. 10.

    Summary of the potential physiologic impact of RI on metformin and ranitidine. Simulations show that for the probe substrate metformin, a decrease in protein binding leads to an increase in CLR, whereas a decrease in GFR, DT expression, and TDIs all lead to a decrease in CLR. Inclusion of a decrease in DT expression and TDIs also leads to an improvement of clinical PK in RI populations for metformin and ranitidine.

Tables

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    TABLE 1

    Comparison of predicted and observed values for PK parameters for metformin

    Simulation conditions are listed by rank order according to Σδall. δ is the absolute difference between one and the ratio of the predicted value of the parameter over the observed value, as defined by eq. 6 in the Materials and Methods section. Supplemental Table 39 provides actual parameter estimates as well as δ values.

    δΣδallΣδR
    tmaxCmaxAUCCLRAe
    Healthy
     Sim healthy volunteers0.1910.0070.1720.1620.0620.5950.224
    Moderate RI
     Sim GFR 30–600.3280.5360.6742.150.2493.942.40
     OCT2 20%0.0400.3470.3740.1920.0561.010.248
     OCT2 20% OCT2 R20.1520.2620.1850.3030.2341.140.537
     OCT2 20% OCT1 10%0.2480.1500.0380.1910.5241.150.715
     OCT2 20% OCT1 10% OCT2 R20.5360.0000.4700.3030.3611.670.664
     OCT2 R20.1360.4030.4770.6310.0481.690.679
     OCT1 10% OCT2 R20.0880.2430.1970.6310.5651.721.20
     OCT1 10%0.2320.4390.5592.150.6544.042.81
    Severe RI
     Sim GFR less than 300.2820.4630.5631.100.0362.451.14
     OCT2 R20.0120.3100.2780.0180.1860.8060.204
     OCT1 10% OCT2 R20.1970.1020.1970.0180.3040.8180.322
     OCT2 20%0.0770.2470.1310.3170.2971.070.614
     OCT2 20% OCT1 10%0.3470.0080.6080.3180.2481.530.566
     OCT2 20% OCT2 R20.1670.1600.1330.6440.4871.591.13
     OCT1 10%0.1620.3410.3771.100.4282.411.53
     OCT2 20% OCT1 10% OCT2 R20.6760.1811.2350.6450.0002.740.645
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    TABLE 2

    Comparison of predicted and observed values for PK parameters for ranitidine

    Simulation conditions are listed by rank order according to Σδall. δ is the absolute difference between one and the ratio of the predicted value of the parameter over the observed value, as defined by eq. 6 in the Materials and Methods section. This table has been abbreviated to contain only the top-five simulations for each dose/RI combination. Supplemental Table 40 provides values for each simulation including actual parameter estimates as well as δ values.

    DoseδΣδallΣδR
    AUCCLCLRAe
    mg
    Healthy
     Sim-healthy volunteers500.340.2350.4000.1601.140.560
     Sim-healthy volunteers250.530.3310.4870.1791.530.666
    Moderate RI
     Sim GFR 30–60500.0830.0900.3600.2560.7890.616
     OAT3 10% OAT3 R4500.0830.0750.0600.1280.3460.188
     OAT3 10%500.0670.0600.0900.1400.3570.230
     OAT3 R4500.0440.0450.1200.1560.3650.276
     OCT2 R2500.1390.1200.0660.0760.4010.142
     OCT2 20%500.2060.1700.1670.0200.5630.187
    Severe RI
     Sim GFR less than 30500.4230.6923.952.277.336.22
     OCT2 20% OAT3 10% OCT2 R2 OAT3 R4500.0190.0370.0690.1290.2540.198
     OCT2 20% OAT3 10% OCT2 R2500.0060.0190.0590.2540.3380.313
     OCT2 20% OCT2 R2 OAT3 R4500.0350.0190.2210.3960.6710.617
     OCT2 20% OAT3 10% OAT3 R4500.0580.0370.3770.5271.000.904
     OCT2 20% OAT3 10%500.0790.0650.5000.6211.271.12
     Sim GFR less than 30250.3960.67020.311.532.931.8
     OCT2 20% OAT3 10% OCT2 R2 OAT3 R4250.0650.0552.983.346.446.32
     OCT2 20% OAT3 10% OCT2 R2250.0390.0283.523.827.417.34
     OCT2 20% OCT2 R2 OAT3 R4250.0090.0004.194.378.578.56
     OCT2 20% OAT3 10% OCT2 R2 OAT3 R4 OATP1B3 R1250.4520.3082.984.858.597.83
     OCT2 20% OAT3 10% OCT2 R2 OATP1B3 R1250.4130.2893.525.469.698.98

Additional Files

  • Figures
  • Tables
  • Data Supplement

    • Supplemental Data -

      Supplemental Tables 1 - 40

      Supplementary Figure 1 - Structure of a general PBPK model used to describe the kinetics of metformin (center) and associated nested permeabilitylimited liver (Perf, left) and mechanistic kidney (Mech KiM, right) models

      Supplementary Figure 2 - Effect of Renal Impairment (RI) and Inhibition on the Renal Clearance of Metformin in Males

      Supplementary Figure 3 - Effect of Renal Impairment (RI) and Fraction Unbound on the Renal Clearance of Metformin with Accompanying Inhibition of OCT2

      Supplementary Figure 4 - Effect of Renal Impairment (RI) and Fraction Unbound on the Renal Clearance of Metformin with Accompanying Inhibition of MATE1

      Supplementary Figure 5 - Impact of Renal Impairment (RI) on the Dose Dependency of Metformin in Females

      Supplementary Figure 6 - Impact of Renal Impairment (RI) and Drug Transporter Expression on the Renal Clearance of Metformin

      Supplementary Figure 7 - Effect of Renal Impairment (RI) and Inhibition on the Renal Clearance of Metformin in Females

      Supplementary Figure 8 - Effect of Changes in Renal Impairment (RI) and Fraction Unbound on the Renal Clearance of Metformin with Varying Expression of OCT2 and MATE1 in Females

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Drug Metabolism and Disposition: 46 (5)
Drug Metabolism and Disposition
Vol. 46, Issue 5
1 May 2018
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Research ArticleSpecial Section on Transporters in Drug Disposition and Pharmacokinetic Prediction

Effects of RI on Renal Secretion of OCT Substrates

Kristin E. Follman and Marilyn E. Morris
Drug Metabolism and Disposition May 1, 2018, 46 (5) 758-769; DOI: https://doi.org/10.1124/dmd.117.079558

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Research ArticleSpecial Section on Transporters in Drug Disposition and Pharmacokinetic Prediction

Effects of RI on Renal Secretion of OCT Substrates

Kristin E. Follman and Marilyn E. Morris
Drug Metabolism and Disposition May 1, 2018, 46 (5) 758-769; DOI: https://doi.org/10.1124/dmd.117.079558
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