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Research ArticleArticle

Development and Validation of a Higher-Throughput Cytochrome P450 Inhibition Assay with the Novel Cofactor-Supplemented Permeabilized Cryopreserved Human Hepatocytes (MetMax Human Hepatocytes)

Veera Raghava Choudary Palacharla, Prathyusha Chunduru, Devender Reddy Ajjala, Gopinadh Bhyrapuneni, Ramakrishna Nirogi and Albert P. Li
Drug Metabolism and Disposition October 2019, 47 (10) 1032-1039; DOI: https://doi.org/10.1124/dmd.119.088237
Veera Raghava Choudary Palacharla
Drug Metabolism and Pharmacokinetics, Suven Life Sciences Ltd., Jeedimetla, Hyderabad, India (V.R.C.P., G.B., R.N.); Bio-analysis, Suven Life Sciences Ltd., Pashamylaram, Medak, India (P.C., D.R.A.); and In Vitro ADMET Laboratories Inc., Columbia, Maryland (A.P.L.)
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  • ORCID record for Veera Raghava Choudary Palacharla
Prathyusha Chunduru
Drug Metabolism and Pharmacokinetics, Suven Life Sciences Ltd., Jeedimetla, Hyderabad, India (V.R.C.P., G.B., R.N.); Bio-analysis, Suven Life Sciences Ltd., Pashamylaram, Medak, India (P.C., D.R.A.); and In Vitro ADMET Laboratories Inc., Columbia, Maryland (A.P.L.)
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Devender Reddy Ajjala
Drug Metabolism and Pharmacokinetics, Suven Life Sciences Ltd., Jeedimetla, Hyderabad, India (V.R.C.P., G.B., R.N.); Bio-analysis, Suven Life Sciences Ltd., Pashamylaram, Medak, India (P.C., D.R.A.); and In Vitro ADMET Laboratories Inc., Columbia, Maryland (A.P.L.)
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Gopinadh Bhyrapuneni
Drug Metabolism and Pharmacokinetics, Suven Life Sciences Ltd., Jeedimetla, Hyderabad, India (V.R.C.P., G.B., R.N.); Bio-analysis, Suven Life Sciences Ltd., Pashamylaram, Medak, India (P.C., D.R.A.); and In Vitro ADMET Laboratories Inc., Columbia, Maryland (A.P.L.)
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Ramakrishna Nirogi
Drug Metabolism and Pharmacokinetics, Suven Life Sciences Ltd., Jeedimetla, Hyderabad, India (V.R.C.P., G.B., R.N.); Bio-analysis, Suven Life Sciences Ltd., Pashamylaram, Medak, India (P.C., D.R.A.); and In Vitro ADMET Laboratories Inc., Columbia, Maryland (A.P.L.)
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  • For correspondence: nvsrk@suven.com
Albert P. Li
Drug Metabolism and Pharmacokinetics, Suven Life Sciences Ltd., Jeedimetla, Hyderabad, India (V.R.C.P., G.B., R.N.); Bio-analysis, Suven Life Sciences Ltd., Pashamylaram, Medak, India (P.C., D.R.A.); and In Vitro ADMET Laboratories Inc., Columbia, Maryland (A.P.L.)
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  • For correspondence: lialbert@invitroadmet.com
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    Fig. 1.

    Substrate saturation curves for phenacetin O-deethylation (A), coumarin hydroxylation (B), bupropion hydroxylation (C), amodiaquine N-deethylation (D), diclofenac hydroxylation (E), mephenytoin hydroxylation (F), dextromethorphan O-demethylation (G), chlorzoxazone 6-hydroxylation (H), midazolam 1-hydroxylation (I), and testosterone 6-hydroxylation (J) in MMHHs. Each data point is the mean ± S.E.M. of triplicates from a single experiment.

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    Fig. 2.

    Comparison of IC50 values generated using isoform-specific marker probe reactions from CHHs and MMHHs. The solid line represents the line of unity, the dotted line represents a 2-fold deviation from the line of unity, and the dashed line represents a 3-fold deviation from the line of unity.

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    Fig. 3.

    The inhibition curves in MMHHs (●) and CHHs (○) for a set of representative inhibitors, including α-naphthoflavone (A), tranylcypromine (B), 2-phenyl-2-(1-piperidinyl)propane (PPP) (C), montelukast (D), sulfaphenazole (E), omeprazole (F), paroxetine (G), methylpyrazole (H), ketoconazole (I), and mibefradil (J), against CYP1A2, CYP2A6, CYP2B6, CYP2C8, CYP2C9, CYP2C19, CYP2D6, CYP2E1, CYP3A4 (midazolam hydroxylation), and CYP3A4 (testosterone hydroxylation) enzyme-mediated activities, respectively. Each data point is the mean ± S.E.M. of six replicates in a single experiment.

Tables

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    TABLE 1

    Ion mode application, mass transitions, and linearity range used for the quantification of marker metabolites of the isoform-specific pathways used for kinetic experiments in MMHHs and inhibition experiments in both MMHHs and CHHs

    P450 IsozymeMarker SubstrateMarker MetaboliteIon ModeMass TransitionLinearity Range
    m/znM
    CYP1A2PhenacetinAcetaminophenPositive152.2→1106.6–6622.5
    CYP2A6CoumarinHydroxy coumarinNegative160.8→132.76.2–6211.2
    CYP2B6BupropionHydroxy bupropionPositive256→1393.9–3921.6
    CYP2C8AmodiaquineDesethyl amodiaquinePositive328.3→283.33.1–3058.1
    CYP2C9DiclofenacHydroxy diclofenacPositive311.927→2663.2–3215.4
    CYP2C19MephenytoinHydroxy mephenytoinPositive235.1→150.24.3–4273.5
    CYP2D6DextromethorphanDextrorphanPositive258.3→157.23.9–3891.1
    CYP2E1ChlorzoxazoneHydroxy chlorzoxazoneNegative184→120.15.4–5434.8
    CYP3A4MidazolamHydroxy midazolamPositive342→2032.9–2932.6
    CYP3A4TestosteroneHydroxy testosteronePositive305.1→269.13.9–3289.5
    • View popup
    TABLE 2

    Substrate concentrations, Vmax, and Km values determined for the marker reactions in MMHHs from two independent studies

    Vmax units are picomoles per minute per million cells; Km units are micromolars.

    P450Marker ReactionStudySubstrate ConcentrationsVmaxMean VmaxKmMean KmKinetics
    µM
    CYP1A2Phenacetin deethylationa10, 15.625, 31.25, 62.5, 125, 250, 500, 1000518011.411TS (atypical)
    20, 7.81, 15.625, 31.25, 62.5, 125, 250, 50010910.7TS (atypical)
    CYP2A6Coumarin hydroxylation10, 0.937, 1.875, 3.75, 7.5, 15, 30, 60—112—1.5ND
    20, 0.156, 0.312, 0.625,1.25, 2.5, 5,101121.5SI (atypical)
    CYP2B6Bupropion hydroxylation10, 15.625, 31.25, 62.5, 125, 250, 500, 10001311366967MM (typical)
    20, 15.625, 31.25, 62.5, 125, 250, 500, 100014066MM (typical)
    CYP2C8Amodiaquine deethylation10, 0.937, 1.875, 3.75, 7.5, 15, 30, 607585171.41.4MM (typical)
    20, 0.937, 1.875, 3.75, 7.5, 15, 30, 602771.4MM (typical)
    CYP2C9Diclofenac hydroxylation10, 3.125, 6.25, 12.5, 25, 50, 100, 200—3273—2.4ND
    20, 0.781, 1.562, 3.125, 6.25, 12.5, 25, 5032732.4MM (typical)
    CYP2C19Mephenytoin hydroxylation10, 14.06, 28.12, 56.25, 112.5, 225, 450, 90049505545MM (typical)
    20, 14.06, 28.12, 56.25, 112.5, 225, 450, 9005235MM (typical)
    CYP2D6Dextromethorphan O-demethylationa10, 3.125, 6.25, 12.5, 25, 50, 100, 20028372.62.0TS (atypical)
    20,0.47, 0.937, 1.875, 3.75, 7.5, 15, 30471.5TS (atypical)
    CYP2E1Chlorzoxazone hydroxylation10, 31.25, 62.5, 125, 250, 500, 1000, 2000693462469465MM (typical)
    20, 15.62, 31.25, 62.5, 125, 250, 500, 1000231462MM (typical)
    CYP3A4Midazolam hydroxylation10, 0.937, 1.875, 3.75, 7.5, 15, 30, 601872153.73.5SI (atypical)
    20, 0.312, 0.625,1.25, 2.5, 5,10, 202433.3MM (typical)
    CYP3A4Testosterone hydroxylation10, 15.62, 31.25, 62.5, 125, 250, 500, 100076559273b70HK (atypical)
    20, 15.62, 31.25, 62.5, 125, 250, 500, 100041867bHK (atypical)
    • HK, Hill kinetics; MM, Michaelis-Menten; ND, not determined; SI, substrate inhibition; TS, two-site.

    • ↵a Only high-affinity enzyme values were reported for pathways following two-site kinetics.

    • ↵b Values are S50 values equivalent to Km; Hill equation_n1 = 1.432 and n2 = 1.778.

    • View popup
    TABLE 3

    A comparison of Vmax and Km values determined using MMHHs from this study with those determined in the cryopreserved human hepatocytes and HLMs

    The Vmax and Km values and the calculated ratio of the values for MMHH to that for hepatocytes and human liver microsomes are shown. Vmax values are in pmol/min per million cells for MMHH and hepatocytes; Km values are in µM.

    P450 IsoformsMarker ReactionMMHHHepatocytesHLMReference for HepatocytesReference for Human Liver MicrosomesMMHH/Hepatocyte RatioMMHH/HLM Ratio
    VmaxKmVmaxKmKmVmaxKmVmax
    CYP1A2Phenacetin deethylation8011NANA112.7NALi et al. (2015)NANA0.10
    CYP2A6Coumarin hydroxylation1122NANA1.9NAHosono et al. (2017)NANA1.05
    CYP2B6Bupropion hydroxylation136672141130Li and Schlicht (2014)Faucette et al. (2000)6.51.60.52
    CYP2C8Amodiaquine deethylation5171334101Li and Schlicht (2014)Li et al. (2015)1.50.11.00
    CYP2C9Diclofenac hydroxylation32732290722.4Brown et al. (2007)Siu and Lai (2017)11.30.30.09
    CYP2C19Mephenytoin hydroxylation5045161356.8Brown et al. (2007)Siu and Lai (2017)3.13.50.79
    CYP2D6Dextromethorphan demethylation3725012.9Brown et al. (2007)Li et al. (2015)0.72.00.69
    CYP2E1Chlorzoxazone hydroxylation462465NANA149.8NALi et al. (2015)NANA3.10
    CYP3A4Midazolam hydroxylation21542048.4Li and Schlicht (2014)Siu and Lai (2017)10.81.00.48
    CYP3A4Testosterone hydroxylation5927018002410.2Brown et al. (2007)Siu and Lai (2017)0.32.96.86
    • NA, not Available.

    • View popup
    TABLE 4

    Absolute IC50 values of standard inhibitors for nine major P450 enzymes determined in MMHHs and CHHs and their corresponding fold difference values

    P450 IsoformMaker ReactionInhibitorsAbsolute IC50Fold Difference MMHH/CHH
    MMHHCHH
    µMµM
    1A2Phenacetin O-deethylationFluvoxamine0.0070.0250.28a
    Furafylline0.811.20.67
    Methoxsalen0.0150.0250.60
    α-Naphthoflavone0.0290.0470.62
    Propranolol0.570.391.46
    2A6Coumarin hydroxylationKetoconazole91.41000.91
    Methoxsalen0.100.033.33a
    Phenelzine2.12.01.07
    Tranylcypromine0.0590.0078.43a
    2B6Bupropion hydroxylationKetoconazole2.73.80.72
    Methoxsalen4.55.90.76
    Phenelzine11.25.62.01
    PPP4.85.50.87
    Thiotepa4.317.70.24a
    Ticlopidine22.412.31.82
    2C8Amodiaquine N-deethylationKetoconazole11.910.21.17
    Methoxsalen>100>100NC
    Montelukast4.14.30.95
    Tranylcypromine77.8581.35
    2C9Diclofenac hydroxylationFluconazole23.282.00.28a
    Ketoconazole7.213.00.55
    Methoxsalen34.236.70.93
    Sulfaphenazole0.40.630.59
    2C19Mephenytoin hydroxylationFluconazole4.63.21.46
    Fluoxetine1.24.80.24a
    Fluvoxamine0.020.040.64
    Methoxsalen14.512.11.19
    Omeprazole4.62.61.80
    Ticlopidine13.820.10.69
    2D6Dextromethorphan O-demethylationCinacalcet3.311.50.29a
    Fluoxetine0.630.920.68
    Methoxsalen39.643.10.92
    Paroxetine0.370.750.49
    Propafenone0.080.071.14
    Quinidine0.040.022.33
    2 E1Chlorzoxazone hydroxylationMethoxsalen75.781.50.93
    Methylpyrazole1.41.11.24
    3A4Midazolam hydroxylationErythromycin5.34.11.31
    Ketoconazole0.090.091.11
    Methoxsalen>100>100NC
    Mibefradil0.320.321.00
    Troleandomycin2.21.11.98
    Verapamil18.85.973.15a
    3A4Testosterone hydroxylationErythromycin13.922.40.62
    Ketoconazole0.0450.120.38
    Methoxsalen10.329.80.35
    Mibefradil0.250.750.33
    Troleandomycin3.07.40.40
    Verapamil4.48.80.50
    • NC, fold difference not calculated; PPP, 2-phenyl-2-(1-piperidinyl)propane.

    • ↵a Fold difference of ≥3 or ≤0.3 between MMHHs and CHHs.

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Drug Metabolism and Disposition: 47 (10)
Drug Metabolism and Disposition
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1 Oct 2019
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Research ArticleArticle

High-Throughput P450 Inhibition Assay with MetMax Hepatocytes

Veera Raghava Choudary Palacharla, Prathyusha Chunduru, Devender Reddy Ajjala, Gopinadh Bhyrapuneni, Ramakrishna Nirogi and Albert P. Li
Drug Metabolism and Disposition October 1, 2019, 47 (10) 1032-1039; DOI: https://doi.org/10.1124/dmd.119.088237

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Research ArticleArticle

High-Throughput P450 Inhibition Assay with MetMax Hepatocytes

Veera Raghava Choudary Palacharla, Prathyusha Chunduru, Devender Reddy Ajjala, Gopinadh Bhyrapuneni, Ramakrishna Nirogi and Albert P. Li
Drug Metabolism and Disposition October 1, 2019, 47 (10) 1032-1039; DOI: https://doi.org/10.1124/dmd.119.088237
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