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Research ArticleArticle

Prediction of Carboxylesterase 1-mediated In Vivo Drug Interaction between Methylphenidate and Cannabinoids using Static and Physiologically Based Pharmacokinetic Models

Yuli Qian and John S. Markowitz
Drug Metabolism and Disposition July 2022, 50 (7) 968-979; DOI: https://doi.org/10.1124/dmd.121.000823
Yuli Qian
Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, Florida
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John S. Markowitz
Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, Florida
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Figures

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  • Fig. 1.
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    Fig. 1.

    Chemical structures of MPH, RA, THC, and CBD and hypothesis of CES1-mediated interactions between MPH and THC/CBD. Dashed lines with flat arrows represent inhibition.

  • Fig. 2.
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    Fig. 2.

    Inhibition curves for THC (A) and CBD (B) in time-dependent inhibition study. HLS9 (250 µg/ml) was preincubated with or without cannabinoids for 30 minutes before addition of MPH. The formation rate of metabolite (ritalinic acid) from MPH was expressed as a relative value over the control sample without addition of cannabinoids. Data points represent the mean (±S.D.) of triplicate samples from a single experiment. Lines represent model prediction.

  • Fig. 3.
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    Fig. 3.

    Representative analyses of inhibition kinetics and Lineweaver-Burk plots for THC (A1, A2) and CBD (B1, B2). Incubation was conducted using 250 µg/ml HLS9 with combinations of varying concentrations of MPH and cannabinoids. Data were from one of three independent experiments with duplicate samples. Points represent mean values (±S.D.) of duplicate samples.

  • Fig. 4.
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    Fig. 4.

    PBPK model simulated and observed concentration-time profiles of MPH after oral administration. The simulated PK profiles were compared with the observed data reported in literature for assessment of model performance. Demographics of the simulated virtual individuals (n = 100) were matched to ones reported in the respective study. Solid lines and shades represent mean and 90% (5th–95th) prediction interval of simulated profiles, respectively. Points and error bars represent mean and S.D. of the observed data, respectively. Median values (both simulated and observed) were summarized for the Stage_2017 study.

  • Fig. 5.
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    Fig. 5.

    PBPK model simulated and observed concentration-time profiles of CBD after oral administration. The simulated PK profiles were compared with the observed data reported in literature for assessment of model performance. Demographics of the simulated virtual individuals (n = 100) were matched to ones reported in the respective study. Solid lines and shades represent geometric mean and 90% (5th–95th) prediction interval of simulated profiles, respectively. Points and error bars represent geometric mean and S.D. of the observed data, respectively.

  • Fig. 6.
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    Fig. 6.

    Simulated outcomes of administration of MPH either simultaneously (A) or with a time difference (B) to a single dose of CBD. The IR formulation of MPH (Ritalin) and the prescriptive oral solution formulation of CBD (Epidiolex) were used in simulation. Under the scenarios of simultaneous administration (A), different strengths of CBD dose (2.5–10 mg/kg) were simulated. Under the scenarios of MPH and CBD administered at different time (B), the dose of CBD was fixed at 10 mg/kg. The resulting influence of CBD on the exposure to d-MPH were summarized as ratios of AUC and Cmax as compared with MPH administered alone. The ratios were reported in the forms of geometric means and 90% prediction interval of the simulated 100 virtual subjects.

  • Fig. 7.
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    Fig. 7.

    Simulated changes in MPH exposure when co-administered with multiple doses of CBD for 7 days. The IR formulation of MPH (Ritalin) and the prescriptive oral solution formulation of CBD (Epidiolex) were used in simulation. In the simulation, MPH was administered twice daily with a time interval of 4 hours between the first and second doses, while CBD (0, 5, and 10 mg/kg) was given every 12 hours. The AUC24 and Cmax of d-MPH were summarized on Day 1, 4, and 7. Open circles represent individual parameter values of the simulated 100 virtual subjects. Horizontal bars in the boxplots represent the 5th, 50th, and 95th percentiles of the simulated population.

Tables

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    TABLE 1

    Inhibition of MPH hydrolysis by THC and CBD in time-dependent studies.

    IC50,u (µM)
    CannabinoidsPreincubation:
    0 min (A)
    Preincubation:
    30 min (B)
    A/B
    THC0.0441 ± 0.00740.0618 ± 0.00970.71
    CBD0.157 ± 0.0270.198 ± 0.0290.79
    • IC50,u, unbound inhibitor concentration that achieves 50% activity. IC50,u values were presented as estimate ± SE (uncertainty) from nonlinear regression analysis using data from a single experiment with three replicate samples.

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    TABLE 2

    Determination of kinetic parameters for inhibition of MPH hydrolysis by THC and CBD.

    CannabinoidsKm (µM)Ki,u (µM)αVmax (pmol/min/mg protein)
    THC85.7 ± 12.90.031 ± 0.00316.4 ± 14.71056 ± 77
    CBD90.6 ± 10.10.091 ± 0.004>9999940 ± 150
    • All values were presented as mean ± S.D. of three independent experiments with duplicate samples.

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    TABLE 3

    Model evaluation for MPH.

    AUC (ng·h/ml)Cmax (ng/ml)
    DoseNMean observedMean predictedPE (%)Mean observedMean predictedPE (%)
    d/dl-MPH
     Calibration Datasets
     (Midha et al., 2001)40 mg Ritalin2459.190.853.711.716.945.1
     (Midha et al., 2001)40 mg Ritalin (fed)2468.110351.214.315.69.1
     (Patrick et al., 2007)0.3 mg/kg Ritalin2082.954.5−34.315.38.5−44.4
     (Spencer et al., 2006)40 mg Ritalin1281.9b97.118.514.115.711.3
     (Teo et al., 2004)20 mg Focalin1512196.1−20.523.718.1−23.7
     (Teo et al., 2004)20 mg Focalin (fed)1513299.6−24.522.115.5−30.0
     (Patrick et al., 2013)0.3 mg/kg Ritalin2452.153.42.510.18.2−18.8
     (Patrick et al., 2013)0.15 mg/kg Focalin2453.753.4−0.610.78.2−23.4
     (Parasrampuria et al., 2007)50 mg Ritalin4910612517.921.124.013.7
     (Parasrampuria et al., 2007)90 mg Ritalin4919522615.938.843.211.3
     Verification Datasets
     (Hysek et al., 2014)60 mg Ritalin15175a172−1.930.432.46.6
     (Abbas et al., 2016)40 mgc Ritalin2913220252.615.622.946.8
     (Adjei et al., 2014)25 mgd Ritalin24282188−33.329.118.0−38.1
     (DeVane et al., 2000)10 mg Ritalin623.7a19.7−16.944.512.5
     (Koehm et al., 2010)20 mg Ritalin9354322.977.11.4
     (Meyer et al., 2000)20 mg Ritalin2035.848.936.57.68.815.9
     (Patrick et al., 1989)10 mge Ritalin1842.045.37.86.44.8−25.3
     (Spencer et al., 2012)40 mgf Ritalin26179a1853.325.422.6−10.8
     (Stage et al., 2017)10 mg Ritalin1621.4g23.2g18.75g3.9g−19.2
     (Wong et al., 1998)40 mg Ritalin2193.690.1−3.717.816.4−7.9
     Weighted PE (%)11.7-0.8
    l-MPH
     (Wong et al., 1998)40 mg Ritalin211.511.33−11.90.8210.54−34.2
     (Patrick et al., 2013)0.3 mg/kg Ritalin240.770.72−6.50.180.2222.2
     (Patrick et al., 2007)0.3 mg/kg Ritalin200.82a,b0.80−2.40.22b0.2513.6
     Weighted PE (%)-7.01.3
    • PK parameters shown as arithmetic mean values unless otherwise noted.

    • ↵a AUC0-last

    • ↵b Obtained from a non-compartmental analysis of digitized population-level data.

    • ↵c Two doses administered 6 hours apart.

    • ↵d Three doses administered 4 hours apart.

    • ↵e Two doses administered 5 hours apart.

    • ↵f Two doses administered 4 hours apart.

    • ↵g Values shown as median.

    • View popup
    TABLE 4

    Model evaluation for CBD.

    AUC (ng·h/ml)Cmax (ng/ml)
    Dose (Epidiolex)NMean observedMean predictedPE (%)Mean observedMean predictedPE (%)
    Calibration Datasets
     (Taylor et al., 2018)1500 mg61470a,b1486a1.1260b214−17.7
     (Taylor et al., 2018)6000 mg63490a,b3076a−11.9610b453−25.7
     (Tayo et al., 2020)200 mg8435a,b648a49.0118b87.0−26.3
    Verification Datasets
     (Taylor et al., 2019)200 mg8522a,b548a5.096.4b86.2−10.6
     (Crockett et al., 2020)750 mg291490b15262.4154b152−1.3
     (Taylor et al., 2018)3000 mg62540a,b2608a2.7418b386−7.7
     (Taylor et al., 2018)4500 mg63100a,b2968a−4.3677b441−34.9
     Weighted PE (%)6.2−12.3
    • PK parameters are shown as geometric mean values.

    • ↵a AUC0-last

    • ↵b Obtained from a non-compartmental analysis of digitized population-level data due to the discrepancies observed between the reported PK parameters and concentration-time plots.

Additional Files

  • Figures
  • Tables
  • Data Supplement

    • Supplemental Data -

      Supplemental Appendix A. Derivation of THC and CBD binding in the incubation mixture in the presence of protein

      Supplemental Appendix B. Back-calculation of Intrinsic Clearance of CBD

      Supplemental Table 1. Linearity, accuracy, and intraday and interday precision of RA, THC, and CBD.

      Supplemental Table 2. Demographics of subjects in the MPH studies used for model development and verification.

      Supplemental Table 3. Demographics of subjects in the CBD studies used for model development and verification.

      Supplemental Table 4. Drug-specific input parameters for MPH model.

      Supplemental Table 5. Drug-specific input parameters for CBD model.

      Supplemental Table 6. Unbound concentrations of THC and CBD in the incubation mixture.

      Supplemental Figure 1. Binding model of THC and CBD.

      Supplemental Figure 2. Chromatograms of RA (red in panel A), THC (red in panel B) and CBD (red in panel C).

      Supplemental Figure 3. A workflow of PBPK model development and verification for MPH and CBD and prediction of drug-drug interactions by simulation.

      Supplemental Figure 4. Terminal half-lives of MPH reported in studies found from literature review.

      Supplemental Figure 5. Sensitivity analysis to assess the parameters that impact CBD disposition after intravenous administration.

      Supplemental Figure 6. PBPK model simulated and observed concentration-time profiles of CBD after intravenous administration.

      Supplemental Figure 7. Nonspecific binding of THC and CBD in the incubation mixture.

      Supplemental References.

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Drug Metabolism and Disposition: 50 (7)
Drug Metabolism and Disposition
Vol. 50, Issue 7
1 Jul 2022
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Research ArticleArticle

CES1 Mediated DDI between Methylphenidate and Cannabinoids

Yuli Qian and John S. Markowitz
Drug Metabolism and Disposition July 1, 2022, 50 (7) 968-979; DOI: https://doi.org/10.1124/dmd.121.000823

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Research ArticleArticle

CES1 Mediated DDI between Methylphenidate and Cannabinoids

Yuli Qian and John S. Markowitz
Drug Metabolism and Disposition July 1, 2022, 50 (7) 968-979; DOI: https://doi.org/10.1124/dmd.121.000823
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