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Prediction of the effect of drug-drug interaction and pharmacogenomics on PK/PD/TD of drugs Yuichi Sugiyama Sugiyama Laboratory, RIKEN Yokohama JN Tata Auditorium Indian Institute of Science (IISc) Bangalore, India 560012 October 11 th -13 th 2018: Main Conference Organized by: SOCIETY FOR THE STUDY OF XENOBIOTICS (SSX)-INDIA SSX 2018 3 rd annual conference Dr. T. Thanga Mariappan, President- SSX, India Dr. Jasminder Sahi, Sanofi, China

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  • 1

    Prediction of the effect of drug-drug interaction and pharmacogenomics on PK/PD/TD of drugs

    Yuichi SugiyamaSugiyama Laboratory, RIKEN Yokohama

    JN Tata Auditorium Indian Institute of Science (IISc)Bangalore, India 560012

    October 11th -13th 2018: Main Conference

    Organized by:SOCIETY FOR THE STUDY OF XENOBIOTICS (SSX)-INDIA

    SSX 20183rd annual conference

    Dr. T. Thanga Mariappan, President- SSX, IndiaDr. Jasminder Sahi, Sanofi, China

  • 2

    Contents

    1) Introduction; Rate-determining process (focusing on the liver)

    (Uptake, efflux, elimination, metabolism) DDI

    2) PGx of OATP1B1: PBPK model based analysis

    3) PBPK model based analysis of OATPs mediated drug-drug interaction (Top down + Bottom-up)

    (i) victim drugs-perpetrator drugs

    (ii)endogenous biomarker (CP-I) - rifampicin

  • OATP1B1

    CYP2C8CYP3A4

    2C8, 3A4

    2C8

    N

    F

    CH3O

    OH OHCOONa

    Cerivastatin

    N

    F

    OH

    OH OHCOOH

    M-1

    N

    F

    CH3O

    OH OH

    COOH

    OH

    M-23

    Uptake

    Drug-interaction between Cerivastatin and Gemfibrozil/CsA

    3

    薬事日報平成13年8月15日号

    薬事日報平成13年8月27日号

    日本では、重篤な副作用のためメーカー自主回収へ

    Shitara, Y. et al. J Pharmacol Exp Ther, 311(1): 228-36 (2004)

    Shitara, Y. et al. J Pharmacol Exp Ther,304(2): 610-6 (2003)

    Shitara, Y. and Sugiyama Y.Pharmacol Ther,112(1): 71-105 (2006)

    Cyclosporine A

    Gemfibrozil glucuronide

    Gemfibrozil glucuronide

    52 patients died (US 31). Among 31 patients,12 were given also gemfibrozil.

    CerivastatinDual subsrates

    Gemfibrozil-glucuronideDual inhibitors

  • Substrates Uptake transporterMetabolic enzymes

    Efflux transporter

    Anti-Hyperlipidemic drugs (statins)

    atorvastatin OATPs CYP3A4 -cerivastatin OATPs CYP2C8, 3A4 -fluvastatin OATPs CYP2C9 -pravastatin OATPs - MRP2

    rosuvastatin,pitavastatin

    OATPs - BCRP

    Anti-hypertension or -cardiovascular disease

    bosentan OATPs CYP3A4, 2C9 -torasemide OATPs CYP2C9 -telmisartan OATP1B3 UGTs -valsartan OATPs - MRP2

    Anti-cancer drug

    docetaxel OATP1B3 CYP3A4 -

    Examples of substrates for uptake/efflux transporters and enzymes (1)

    4

  • Substrates Uptake transporterMetabolic enzymes

    Efflux transporter

    Anti-diabetes

    repaglinide OATPs CYP2C8, 3A4 -nateglinide,

    glibenclamideOATPs CYP2C9, 3A4

    Anti-HCV

    simeprevir,grazoprevir

    OATP1B1 CYP3A4 -

    asunaprevir,danoprevir,paritaprevir

    OATPs CYP3A4 Pgp

    Etc.

    Montelukast OATP2B1 CYP2C8, 2C9, 3A4 -maraviroc OATP1B1 CYP3A4 Pgp

    fexofenadine OATPs - Pgp5

    Examples of substrates for uptake/efflux transporters and enzymes (2)

  • inteff

    infallint, CLPS

    PSCL ×=intallint, CLCL =

    inteff

    intinfallint, CLPS

    CLPSCL+

    ×=

    Overall Hepatic Intrinsic Clearance (Clint,all)

    1) When PSeff > CLint, (Case-2)

    Degree of Sequestration (β) Uptake – limited (anionic drugs,; statins, sartans)

    β =1

    Degree of Active Uptake (α)

    When PSinf = PSeff (passive diffusion),

    α =16

    Extended clearance concept

    (lipophilic basic/neutral drugs; quinidine, diazepam)

    Intrinsic Clearance-limited

  • 0

    0.2

    0.4

    0.6

    0.8

    1

    1 10 100

    PSinf

    CLmet

    PSinf =100, PSeff=100, CLbile+CLmet=50(Case-2)

    % of CLint,all(cont.)

    (1/AUC)

    PSinf↓CLmet↓

    PSinf PSeff

    CLbile

    CLmet

    metbileeff

    metbileinfallint, CLCLPS

    CLCLPSCL++

    +×=

    (sorting)(sorting)

    Impact of the function of each pathway on the overall intrinsic clearance

    0

    0.2

    0.4

    0.6

    0.8

    1

    1 10 100

    PSinf

    CLmet

    PSinf =100, PSeff=2, CLbile+CLmet=500 (Case-1)

    R value(1+I/Ki)

    % CLint,all(cont.)

    (1/AUC)

    PSinf↓

    CLmet↓

    7

    Graph3

    1.11.1

    1.21.2

    1.31.3

    1.41.4

    1.51.5

    1.61.6

    1.71.7

    1.81.8

    1.91.9

    22

    33

    44

    55

    66

    77

    88

    99

    1010

    2020

    3030

    4040

    5050

    6060

    7070

    8080

    9090

    100100

    PSinf

    CLmet

    0.9090909091

    0.9375

    0.8333333333

    0.8823529412

    0.7692307692

    0.8333333333

    0.7142857143

    0.7894736842

    0.6666666667

    0.75

    0.625

    0.7142857143

    0.5882352941

    0.6818181818

    0.5555555556

    0.652173913

    0.5263157895

    0.625

    0.5

    0.6

    0.3333333333

    0.4285714286

    0.25

    0.3333333333

    0.2

    0.2727272727

    0.1666666667

    0.2307692308

    0.1428571429

    0.2

    0.125

    0.1764705882

    0.1111111111

    0.1578947368

    0.1

    0.1428571429

    0.05

    0.0731707317

    0.0333333333

    0.0491803279

    0.025

    0.037037037

    0.02

    0.0297029703

    0.0166666667

    0.0247933884

    0.0142857143

    0.0212765957

    0.0125

    0.0186335404

    0.0111111111

    0.0165745856

    0.01

    0.0149253731

    Sheet1

    PSinf100

    PSeff100

    CLbile+CLmet50

    RPSinfCLmet

    1.133.333333333330.3030303030.909090909131.250.9375

    1.233.333333333327.77777777780.833333333329.41176470590.8823529412

    1.333.333333333325.6410256410.769230769227.77777777780.8333333333

    1.433.333333333323.80952380950.714285714326.31578947370.7894736842

    1.533.333333333322.22222222220.6666666667250.75

    1.633.333333333320.83333333330.62523.80952380950.7142857143

    1.733.333333333319.60784313730.588235294122.72727272730.6818181818

    1.833.333333333318.51851851850.555555555621.73913043480.652173913

    1.933.333333333317.54385964910.526315789520.83333333330.625

    233.333333333316.66666666670.5200.6

    333.333333333311.11111111110.333333333314.28571428570.4285714286

    433.33333333338.33333333330.2511.11111111110.3333333333

    533.33333333336.66666666670.29.09090909090.2727272727

    633.33333333335.55555555560.16666666677.69230769230.2307692308

    733.33333333334.76190476190.14285714296.66666666670.2

    833.33333333334.16666666670.1255.88235294120.1764705882

    933.33333333333.70370370370.11111111115.26315789470.1578947368

    1033.33333333333.33333333330.14.76190476190.1428571429

    2033.33333333331.66666666670.052.43902439020.0731707317

    3033.33333333331.11111111110.03333333331.63934426230.0491803279

    4033.33333333330.83333333330.0251.23456790120.037037037

    5033.33333333330.66666666670.020.99009900990.0297029703

    6033.33333333330.55555555560.01666666670.8264462810.0247933884

    7033.33333333330.47619047620.01428571430.70921985820.0212765957

    8033.33333333330.41666666670.01250.62111801240.0186335404

    9033.33333333330.37037037040.01111111110.55248618780.0165745856

    10033.33333333330.33333333330.010.49751243780.0149253731

    Sheet1

    PSinf

    CLmet

    Sheet2

    PSinf

    CLmet

    Sheet3

    Graph2

    1.11.1

    1.21.2

    1.31.3

    1.41.4

    1.51.5

    1.61.6

    1.71.7

    1.81.8

    1.91.9

    22

    33

    44

    55

    66

    77

    88

    99

    1010

    2020

    3030

    4040

    5050

    6060

    7070

    8080

    9090

    100100

    PSinf

    CLmet

    0.9090909091

    0.9996017523

    0.8333333333

    0.9992038217

    0.7692307692

    0.9988062077

    0.7142857143

    0.9984089101

    0.6666666667

    0.9980119284

    0.625

    0.9976152623

    0.5882352941

    0.9972189114

    0.5555555556

    0.9968228753

    0.5263157895

    0.9964271536

    0.5

    0.996031746

    0.3333333333

    0.9920948617

    0.25

    0.9881889764

    0.2

    0.9843137255

    0.1666666667

    0.98046875

    0.1428571429

    0.9766536965

    0.125

    0.9728682171

    0.1111111111

    0.9691119691

    0.1

    0.9653846154

    0.05

    0.9296296296

    0.0333333333

    0.8964285714

    0.025

    0.8655172414

    0.02

    0.8366666667

    0.0166666667

    0.8096774194

    0.0142857143

    0.784375

    0.0125

    0.7606060606

    0.0111111111

    0.7382352941

    0.01

    0.7171428571

    Sheet1

    PSinf100

    PSeff2

    CLbile+CLmet500

    RPSinfCLmet

    1.199.601593625590.54690329590.909090909199.56192751890.9996017523

    1.299.601593625583.00132802120.833333333399.52229299360.9992038217

    1.399.601593625576.61661048120.769230769299.48269001190.9988062077

    1.499.601593625571.14399544680.714285714399.44311853620.9984089101

    1.599.601593625566.4010624170.666666666799.40357852880.9980119284

    1.699.601593625562.25099601590.62599.36406995230.9976152623

    1.799.601593625558.58917272090.588235294199.32459276920.9972189114

    1.899.601593625555.33421868080.555555555699.2851469420.9968228753

    1.999.601593625552.42189138180.526315789599.24573243350.9964271536

    299.601593625549.80079681270.599.20634920630.996031746

    399.601593625533.20053120850.333333333398.8142292490.9920948617

    499.601593625524.90039840640.2598.42519685040.9881889764

    599.601593625519.92031872510.298.03921568630.9843137255

    699.601593625516.60026560420.166666666797.656250.98046875

    799.601593625514.22879908940.142857142997.27626459140.9766536965

    899.601593625512.45019920320.12596.89922480620.9728682171

    999.601593625511.06684373620.111111111196.52509652510.9691119691

    1099.60159362559.96015936250.196.15384615380.9653846154

    2099.60159362554.98007968130.0592.59259259260.9296296296

    3099.60159362553.32005312080.033333333389.28571428570.8964285714

    4099.60159362552.49003984060.02586.20689655170.8655172414

    5099.60159362551.99203187250.0283.33333333330.8366666667

    6099.60159362551.66002656040.016666666780.64516129030.8096774194

    7099.60159362551.42287990890.014285714378.1250.784375

    8099.60159362551.24501992030.012575.75757575760.7606060606

    9099.60159362551.10668437360.011111111173.52941176470.7382352941

    10099.60159362550.99601593630.0171.42857142860.7171428571

    Sheet1

    PSinf

    CLmet

    Sheet2

    PSinf

    CLmet

    Sheet3

  • 0 2 4 6 8 100

    50

    100

    150

    control+rifampicin+itraconazole

    conc

    . [pg

    /ml]

    atorvastatin

    0 2 4 6 8 1002468

    10

    conc

    . [pg

    /ml]

    *Doses of each substrates are 33µg

    0 2 4 6 8 100

    200

    400

    600

    Control+rifampicin+itraconazole

    conc

    . [pg

    /ml] pravastatin

    0 2 4 6 8 100

    100

    200 Control+rifampicin+itraconazole

    conc

    entr

    atio

    n[p

    g/m

    l]

    midazolam

    Plasma concentrations of atorvastatin and pravastatin were greatly increased by rifampicin, but not by itraconazole

    [hour]

    [hour] [hour]

    AUC0-10[pg*hr/ml]

    ATV PRV(AUC0-8)

    MDZ

    Cont. 38.5±17.5

    195±78.7

    434±122

    +RIF 439***±134

    949***±179

    471±168

    +ITZ 36.0±19.2

    386±254

    755*±276

    ***: P

  • 0 2 4 6 8 100

    50

    100

    150

    control+rifampicin+itraconazole

    conc

    . [pg

    /ml]

    atorvastatin

    0 2 4 6 8 1002468

    10

    conc

    . [pg

    /ml]

    [hour]Control +RIF +ITZ

    AUC0-10[pg*hr/mL]

    38.5±17.5

    439***±134

    36.0±19.2

    CL of atorvastatin was inhibited only by rifampicin.→atrovastatin hepatic clearance is limited only byHepatic uptake

    Effects of rifampicin and itraconazole on the PK of atorvastatin

    [hour]

    pg/m

    L

    cf. 2-hydroxyatorvastatin

    9

  • 10

    Contents

    1) Introduction; Rate-determining process (focusing on the liver)

    (Uptake, efflux, elimination, metabolism) DDI

    2) PGx of OATP1B1: PBPK model based analysis

    3) PBPK model based analysis of OATPs mediated drug-drug interaction (Top down + Bottom-up)

    (i) victim drugs-perpetrator drugs

    (ii)endogenous biomarker (CP-I) - rifampicin

  • Ethnic difference in the allele frequency of mutated OATP1B1

    Japanese European African American American

    (n=120) (n=49)

    (n=44)N130D 0.63(0.60-0.66) 0.30(0.25-0.35) 0.74(0.67-0.81)V174A 0.16(0.13-0.18) 0.14(0.10-0.18) 0.02(0-0.04)

    *1*2 *2

    *1 Nishizato Y et al., Clin Pharmacol Ther 73, 554-64 (2003) *2 Tirona RG et al., J Biol Chem, 276, 35669-75 (2001)

    ★★★★

    ★★

    ★★

    ★★

    T521CVal174Ala

    A388GAsn130Asp

    ★:reported SNPs

    Allele freq.(Japanese)

    OATP1B1 *1bOATP1B1 *1a

    OATP1B1 *5OATP1B1 *15

    130 174

    N AD A

    N VD V

    (32.5%)(45.8%)(0.0%)

    (15.0%)

    Haplotype of OATP1B1(SLCO1B1)

    Effect of OATP1B1*15 on the plasma conc. of pravastatin after its oral administration (10 mg)

    (hr)

    Pla

    sma

    conc. o

    f pr

    avas

    tatin

    (ng/

    mL) ○: *15/*15

    ■: *1b/*15●: *1b/*1b

    Investigation of the impact of OATP1B1 SNPs on the clinical pharmacokinetics (Uptake transporter)

    Subjects with OATP1B1*15→increase in the plasma AUC of pravastatin

    (Nishizato Y. et al., Clin Pharmacol Ther, 73, 554- (2003))

    % o

    f 1a

    0

    25

    50

    75

    100

    125

    *1a *1b *5 *15

    % o

    f 1a

    in vitro experiments(HEK293cells: corrected Vmax)

    *150 *1a *1b *5

    50

    100

    150

    200(1) E217βG (2) Estrone-3-Sulfate

    OATP1B1*15 mutant→decrease in the transport activity normalized by expression level

    (Iwai M. et al., Pharmacogenetics, 14, 749-57 (2004))

    11

  • The impact of OATP1B1 on the PK of drugs~Plasma conc. of drugs is increased in subjects with OATP1B1*15~

    HMG-CoA reductase inhibitorspravastatinsimvastatin acid (3A4)pitavastatinatorvastatin (3A4)rosuvastatin

    Anti-diabetes

    repaglinide (2C8, 3A4) nateglinide (2C9, 3A4)

    Anti-allergic drug

    fexofenadine

    Anti-pulmonary hypertension drug

    Atrasentan (3A4)

    Anti-cancer drug

    irinotecan(SN-38)

    Chol-absorption inhibitor

    Ezetimibe (glucuronidation)

    Loop diureticsTorasemide (2C9)

    12

    Angiotensin receptor antagonistsOlmesartan

  • Relationship between OATP1B1 genetic polymorphism andPharmacological effect and adverse effect of statins

    Odds ratio of this SNPs for simvastatin-induced myopathy

    521C/T vs T/T → 4.5 fold

    521C/C vs T/T →16.9 fold(SEARCH Collaborative Group et al., New Engl J Med, 359, 789-99 (2008))

    Simvastatin-induced myopathystrong correlation with OATP1B1 polymorphism

    ★Adverse EffectTarget; Muscle (via plasma)

    ★Pharmacological effectTarget; HMG CoA-reductase in the liver

    No effect or small effect if any(Igel M et al.,Clin Pharmacol Ther, 79, 419-26 (2006))

    13

  • Summary-1# All of these pharmacogenetic and DDI studies on OATP1B1 suggested that the hepatic uptake plays an important role in the plasma clearance of therapeutically important drugs (mostly anionic drugs; statins, ARA, ACE inhibitors, anti-HCV drugs, anticancer drugs, etc).

    14

    Why did this polymorphism and/or DDI affect only side-effect (myopathy; muscle is a target tissue), and not pharmacological effect (lipid lowering effect; liver is a target organ) ?

    To answer this question, it is important to estimate the exposure in the plasma (muscle ; side effect tartet) and in the liver (Pharmacological target) (statins, HCV drugs)

    Watanabe T, Kusuhara H, Maeda K, Shitara Y and Sugiyama Y. Physiologically based pharmacokinetic modeling to predict transporter-mediated clearance and distribution of pravastatin in humans. J Pharmacol Exp Ther 328:652-662 (2009)

    Yoshikado T, Yoshida K, Kotani N, Nakada T, Asaumi R, Toshimoto K, Maeda K, Kusuhara H, Sugiyama Y. Quantitative analyses of hepatic OATP-mediated interactions between statins and inhibitors using PBPK modeling with a parameter-optimization method. Clin Pharmacol Ther. 100:513-523(2016)

  • 15/24

    PBPK model

    PBPK modeling of pravastatin disappearance

    i.v. 0.134mg/kg (observed)p.o. 0.26mg/kg (observed)

    Plasma conc-time profile of pravastatin in human

    Lung

    Brain

    Muscle

    GI

    QBrain

    QMuscle

    QLiver

    PSinf

    PSbile

    PSeff

    CLmet

    Blood UrineQtotal

    ka

    i.v.

    p.o.

    Liver

    inlet

    Liver

    Liver

    Liver

    Liver

    inlet inlet inlet inlet

    KidneyQKidney

    ( )

    ( )

    ( ) jH,bilemeteffhji,infbjH,jH,

    jH,effhji,infji,jb,hji,

    ji,

    brbihb

    b

    CPSCLPSfCPSfdt

    dCV

    CPSfCPSfCCQdt

    dCV

    CCLCCQdt

    dCV

    ⋅++⋅−⋅⋅=⋅

    ⋅⋅+⋅⋅−−=⋅

    ⋅−−=⋅

    b

    Blood

    Capillary inthe liver

    Hepatocytes

    Extrapolated parameters based on in vitro(animal, human) and in vivo (animal)

    Graph1

    52018.080.36

    104018.440.72

    206018.81.08

    409019.161.44

    6012019.521.8

    9018019.762.16

    120202.52

    18020.362.88

    20.723.24

    21.083.6

    21.443.96

    21.84.32

    22.164.66

    22.525

    22.885.36

    23.245.72

    23.66.08

    23.966.44

    24.326.8

    24.687.16

    25.047.52

    25.47.88

    25.768.24

    26.128.6

    26.488.96

    26.849.32

    27.29.66

    27.5610

    27.9210.36

    28.2810.72

    28.6411.08

    2911.44

    29.3611.8

    29.7212.16

    30.0812.52

    30.4412.88

    30.813.24

    31.1613.6

    31.5213.96

    31.8814.32

    32.2414.68

    32.615.04

    32.9615.4

    33.3215.76

    33.6816.12

    34.0416.48

    34.416.74

    34.7617

    35.1217

    35.4817.36

    35.8417.72

    36.218.08

    36.5618.44

    36.9218.8

    37.2819.16

    37.6419.52

    3819.76

    38.3620

    38.7220.36

    39.0820.72

    39.4421.08

    39.7221.44

    4021.8

    40.3622.16

    40.7222.52

    41.0822.88

    41.4423.24

    41.823.6

    42.1623.96

    42.5224.32

    42.8824.68

    43.2425.04

    43.625.4

    43.9625.76

    44.3226.12

    44.6826.48

    45.0426.84

    45.427.2

    45.7627.56

    46.1227.92

    46.4828.28

    46.8428.64

    47.229

    47.5629.36

    47.9229.72

    48.2830.08

    48.6430.44

    4930.8

    49.3631.16

    49.7231.52

    50.0831.88

    50.4432.24

    50.832.6

    51.1632.96

    51.5233.32

    51.8833.68

    52.2434.04

    52.634.4

    52.9634.76

    53.3235.12

    53.6835.48

    54.0435.84

    54.436.2

    54.7636.56

    55.1236.92

    55.4837.28

    55.8437.64

    56.238

    56.5638.36

    56.9238.72

    57.2839.08

    57.6439.44

    5839.72

    58.3640

    58.7240.36

    59.0840.72

    59.4441.08

    59.7241.44

    6041.8

    60.3642.16

    60.7242.52

    61.0842.88

    61.4443.24

    61.843.6

    62.1643.96

    62.5244.32

    62.8844.68

    63.2445.04

    63.645.4

    63.9645.76

    64.3246.12

    64.6846.48

    65.0446.84

    65.447.2

    65.7647.56

    66.1247.92

    66.4848.28

    66.8448.64

    67.249

    67.5649.36

    67.9249.72

    68.2850.08

    68.6450.44

    6950.8

    69.3651.16

    69.7251.52

    70.0851.88

    70.4452.24

    70.852.6

    71.1652.96

    71.5253.32

    71.8853.68

    72.2454.04

    72.654.4

    72.9654.76

    73.3255.12

    73.6855.48

    74.0455.84

    74.456.2

    74.7656.56

    75.1256.92

    75.4857.28

    75.8457.64

    76.258

    76.5658.36

    76.9258.72

    77.2859.08

    77.6459.44

    7859.72

    78.3660

    78.7260.36

    79.0860.72

    79.4461.08

    79.861.44

    80.1661.8

    80.5262.16

    80.8862.52

    81.2462.88

    81.663.24

    81.9663.6

    82.3263.96

    82.6864.32

    83.0464.68

    83.465.04

    83.7665.4

    84.1265.76

    84.4866.12

    84.8466.48

    85.266.84

    85.5667.2

    85.9267.56

    86.2867.92

    86.6468.28

    8768.64

    87.3669

    87.7269.36

    88.0869.72

    88.4470.08

    88.870.44

    89.1670.8

    89.5271.16

    89.7671.52

    9071.88

    90.3672.24

    90.7272.6

    91.0872.96

    91.4473.32

    91.873.68

    92.1674.04

    92.5274.4

    92.8874.76

    93.2475.12

    93.675.48

    93.9675.84

    94.3276.2

    94.6876.56

    95.0476.92

    95.477.28

    95.7677.64

    96.1278

    96.4878.36

    96.8478.72

    97.279.08

    97.5679.44

    97.9279.8

    98.2880.16

    98.6480.52

    9980.88

    99.3681.24

    99.7281.6

    100.0881.96

    100.4482.32

    100.882.68

    101.1683.04

    101.5283.4

    101.8883.76

    102.2484.12

    102.684.48

    102.9684.84

    103.3285.2

    103.6885.56

    104.0485.92

    104.486.28

    104.7686.64

    105.1287

    105.4887.36

    105.8487.72

    106.288.08

    106.5688.44

    106.9288.8

    107.2889.16

    107.6489.52

    10889.76

    108.3690

    108.7290.36

    109.0890.72

    109.4491.08

    109.891.44

    110.1691.8

    110.5292.16

    110.8892.52

    111.2492.88

    111.693.24

    111.9693.6

    112.3293.96

    112.6894.32

    113.0494.68

    113.495.04

    113.7695.4

    114.1295.76

    114.4896.12

    114.8496.48

    115.296.84

    115.5697.2

    115.9297.56

    116.2897.92

    116.6498.28

    11798.64

    117.3699

    117.7299.36

    118.0899.72

    118.44100.08

    118.8100.44

    119.16100.8

    119.52101.16

    119.76101.52

    120101.88

    120.36102.24

    120.72102.6

    121.08102.96

    121.44103.32

    121.8103.68

    122.16104.04

    122.52104.4

    122.88104.76

    123.24105.12

    123.6105.48

    123.96105.84

    124.32106.2

    124.68106.56

    125.04106.92

    125.4107.28

    125.76107.64

    126.12108

    126.48108.36

    126.84108.72

    127.2109.08

    127.56109.44

    127.92109.8

    128.28110.16

    128.64110.52

    129110.88

    129.36111.24

    129.72111.6

    130.08111.96

    130.44112.32

    130.8112.68

    131.16113.04

    131.52113.4

    131.88113.76

    132.24114.12

    132.6114.48

    132.96114.84

    133.32115.2

    133.68115.56

    134.04115.92

    134.4116.28

    134.76116.64

    135.12117

    135.48117.36

    135.84117.72

    136.2118.08

    136.56118.44

    136.92118.8

    137.28119.16

    137.64119.52

    138119.76

    138.36120

    138.72120.36

    139.08120.72

    139.44121.08

    139.8121.44

    140.16121.8

    140.52122.16

    140.88122.52

    141.24122.88

    141.6123.24

    141.96123.6

    142.32123.96

    142.68124.32

    143.04124.68

    143.4125.04

    143.76125.4

    144.12125.76

    144.48126.12

    144.84126.48

    145.2126.84

    145.56127.2

    145.92127.56

    146.28127.92

    146.64128.28

    147128.64

    147.36129

    147.72129.36

    148.08129.72

    148.44130.08

    148.8130.44

    149.16130.8

    149.52131.16

    149.88131.52

    150.24131.88

    150.6132.24

    150.96132.6

    151.32132.96

    151.68133.32

    152.04133.68

    152.4134.04

    152.76134.4

    153.12134.76

    153.48135.12

    153.84135.48

    154.2135.84

    154.56136.2

    154.92136.56

    155.28136.92

    155.64137.28

    156137.64

    156.36138

    156.72138.36

    157.08138.72

    157.44139.08

    157.8139.44

    158.16139.8

    158.52140.16

    158.88140.52

    159.24140.88

    159.6141.24

    159.96141.6

    160.32141.96

    160.68142.32

    161.04142.68

    161.4143.04

    161.76143.4

    162.12143.76

    162.48144.12

    162.84144.48

    163.2144.84

    163.56145.2

    163.92145.56

    164.28145.92

    164.64146.28

    165146.64

    165.36147

    165.72147.36

    166.08147.72

    166.44148.08

    166.8148.44

    167.16148.8

    167.52149.16

    167.88149.52

    168.24149.88

    168.6150.24

    168.96150.6

    169.32150.96

    169.68151.32

    170.04151.68

    170.4152.04

    170.76152.4

    171.12152.76

    171.48153.12

    171.84153.48

    172.2153.84

    172.56154.2

    172.92154.56

    173.28154.92

    173.64155.28

    174155.64

    174.36156

    174.72156.36

    175.08156.72

    175.44157.08

    175.8157.44

    176.16157.8

    176.52158.16

    176.88158.52

    177.24158.88

    177.6159.24

    177.96159.6

    178.32159.96

    178.68160.32

    179.04160.68

    179.4161.04

    179.7161.4

    180161.76

    180162.12

    162.48

    162.84

    163.2

    163.56

    163.92

    164.28

    164.64

    165

    165.36

    165.72

    166.08

    166.44

    166.8

    167.16

    167.52

    167.88

    168.24

    168.6

    168.96

    169.32

    169.68

    170.04

    170.4

    170.76

    171.12

    171.48

    171.84

    172.2

    172.56

    172.92

    173.28

    173.64

    174

    174.36

    174.72

    175.08

    175.44

    175.8

    176.16

    176.52

    176.88

    177.24

    177.6

    177.96

    178.32

    178.68

    179.04

    179.4

    179.7

    180

    180

    iv

    po

    Time (min)

    Plasma concentration(μM)

    0.9406494961

    0.0111982083

    0.00316269

    1.298

    0.4591265398

    0.0447928331

    0.00476181

    1.252

    0.2575587906

    0.0515117581

    0.00633922

    1.21

    0.1119820829

    0.0403135498

    0.00789059

    1.171

    0.0671892497

    0.0302351624

    0.00941402

    1.134

    0.0358342665

    0.0201567749

    0.0104134

    1.098

    0.0223964166

    0.0113995

    1.064

    0.0100783875

    0.0128528

    1.032

    0.0142748

    1.001

    0.0156647

    0.971

    0.0170224

    0.943

    0.0183476

    0.916

    0.0196403

    0.891

    0.0209006

    0.868

    0.0221286

    0.844

    0.0233247

    0.821

    0.0244892

    0.799

    0.0256224

    0.778

    0.026725

    0.758

    0.0277972

    0.738

    0.0288398

    0.72

    0.0298533

    0.701

    0.0308382

    0.684

    0.0317952

    0.667

    0.0327248

    0.651

    0.0336277

    0.636

    0.0345045

    0.622

    0.0353558

    0.608

    0.0361822

    0.594

    0.0369844

    0.58

    0.037763

    0.567

    0.0385185

    0.555

    0.0392515

    0.542

    0.0399627

    0.53

    0.0406525

    0.519

    0.0413216

    0.508

    0.0419704

    0.497

    0.0425996

    0.486

    0.0432096

    0.476

    0.043801

    0.466

    0.0443742

    0.457

    0.0449296

    0.448

    0.0454679

    0.439

    0.0459894

    0.43

    0.0464946

    0.421

    0.0469838

    0.413

    0.0474576

    0.407

    0.0479163

    0.401

    0.0483603

    0.401

    0.0487899

    0.393

    0.0492056

    0.386

    0.0496078

    0.379

    0.0499967

    0.371

    0.0503727

    0.364

    0.0507361

    0.357

    0.0510872

    0.351

    0.0514264

    0.346

    0.0517539

    0.342

    0.0520701

    0.336

    0.0523752

    0.33

    0.0526695

    0.324

    0.052891

    0.318

    0.0531064

    0.312

    0.0533742

    0.307

    0.0536321

    0.301

    0.0538803

    0.296

    0.0541192

    0.291

    0.0543488

    0.285

    0.0545694

    0.28

    0.0547812

    0.276

    0.0549845

    0.271

    0.0551794

    0.266

    0.0553661

    0.261

    0.0555448

    0.257

    0.0557158

    0.253

    0.0558791

    0.248

    0.056035

    0.244

    0.0561836

    0.24

    0.0563251

    0.236

    0.0564597

    0.232

    0.0565874

    0.228

    0.0567086

    0.224

    0.0568233

    0.221

    0.0569316

    0.217

    0.0570338

    0.213

    0.0571299

    0.21

    0.0572201

    0.206

    0.0573046

    0.203

    0.0573833

    0.2

    0.0574566

    0.196

    0.0575245

    0.193

    0.057587

    0.19

    0.0576445

    0.187

    0.0576968

    0.184

    0.0577443

    0.181

    0.0577869

    0.178

    0.0578248

    0.175

    0.0578581

    0.173

    0.0578869

    0.17

    0.0579113

    0.167

    0.0579314

    0.165

    0.0579473

    0.162

    0.057959

    0.16

    0.0579668

    0.157

    0.0579706

    0.155

    0.0579705

    0.152

    0.0579667

    0.15

    0.0579592

    0.148

    0.0579481

    0.145

    0.0579335

    0.143

    0.0579155

    0.141

    0.0578941

    0.139

    0.0578694

    0.137

    0.0578415

    0.135

    0.0578105

    0.133

    0.0577764

    0.131

    0.0577394

    0.129

    0.0577085

    0.127

    0.0576759

    0.126

    0.0576315

    0.124

    0.0575843

    0.122

    0.0575344

    0.12

    0.0574819

    0.118

    0.0574269

    0.116

    0.0573693

    0.115

    0.0573093

    0.113

    0.0572469

    0.111

    0.0571821

    0.11

    0.057115

    0.108

    0.0570458

    0.107

    0.0569743

    0.105

    0.0569007

    0.104

    0.0568251

    0.102

    0.0567474

    0.101

    0.0566678

    0.099103

    0.0565862

    0.0976855

    0.0565028

    0.096292

    0.0564175

    0.0949223

    0.0563304

    0.0935764

    0.0562416

    0.092253

    0.0561511

    0.0909529

    0.0560589

    0.0896744

    0.0559651

    0.0884182

    0.0558697

    0.087183

    0.0557728

    0.0859689

    0.0556744

    0.0847755

    0.0555746

    0.0836023

    0.0554733

    0.0824488

    0.0553706

    0.0813149

    0.0552666

    0.0802001

    0.0551613

    0.0791043

    0.0550547

    0.0780267

    0.0549468

    0.0769675

    0.0548378

    0.0759257

    0.0547276

    0.074902

    0.0546162

    0.073895

    0.0545037

    0.072905

    0.0543902

    0.0719316

    0.0542755

    0.0709741

    0.0541599

    0.0700332

    0.0540433

    0.0691074

    0.0539257

    0.0681976

    0.0538072

    0.0673025

    0.0536878

    0.0664224

    0.0535675

    0.0655567

    0.0534463

    0.0647056

    0.0533244

    0.0638684

    0.0532016

    0.0630452

    0.053078

    0.0624143

    0.0529537

    0.0617913

    0.0528287

    0.0610024

    0.052703

    0.0602262

    0.0525765

    0.059463

    0.0524495

    0.0587119

    0.0523218

    0.0579737

    0.0521934

    0.0572472

    0.0520645

    0.0565325

    0.051935

    0.0558298

    0.051805

    0.055138

    0.0516744

    0.0544581

    0.0515433

    0.053789

    0.0514118

    0.0531308

    0.0512797

    0.0524832

    0.0511472

    0.0518461

    0.0510142

    0.0512192

    0.0508809

    0.0506024

    0.0507471

    0.0499957

    0.050613

    0.0493984

    0.0504785

    0.0488114

    0.0503436

    0.0482331

    0.0502084

    0.0476647

    0.0500729

    0.0471049

    0.0499371

    0.0465544

    0.049801

    0.0460123

    0.0496646

    0.0454792

    0.0495279

    0.0449542

    0.049391

    0.044438

    0.0492539

    0.0439296

    0.0491166

    0.0434295

    0.048979

    0.0429372

    0.0488413

    0.0424523

    0.0487494

    0.0419757

    0.0486574

    0.0415061

    0.0485193

    0.0410442

    0.048381

    0.0405892

    0.0482426

    0.0401417

    0.048104

    0.0397009

    0.0479654

    0.0392671

    0.0478267

    0.0388401

    0.0476878

    0.0384194

    0.0475489

    0.0380057

    0.0474099

    0.0375979

    0.0472708

    0.037197

    0.0471318

    0.0368017

    0.0469926

    0.0364129

    0.0468534

    0.0360299

    0.0467142

    0.0356527

    0.046575

    0.0352815

    0.0464358

    0.0349155

    0.0462966

    0.0345557

    0.0461575

    0.0342008

    0.0460183

    0.0338518

    0.0458792

    0.0335078

    0.0457401

    0.033169

    0.045601

    0.0328354

    0.0454621

    0.0325065

    0.0453232

    0.0321831

    0.0451843

    0.031864

    0.0450455

    0.0315502

    0.0449069

    0.0312407

    0.0447683

    0.0309359

    0.0446298

    0.0306358

    0.0444914

    0.0303397

    0.0443532

    0.0300485

    0.044215

    0.0297611

    0.044077

    0.0294785

    0.0439391

    0.0291995

    0.0438014

    0.0289251

    0.0436638

    0.0286543

    0.0435263

    0.0283875

    0.043389

    0.0281248

    0.0432519

    0.0278653

    0.0431149

    0.0276105

    0.0429781

    0.0273589

    0.0428415

    0.0271109

    0.0427051

    0.0268664

    0.0425688

    0.0266254

    0.0424328

    0.0263881

    0.0422969

    0.0261535

    0.0421612

    0.0259232

    0.0420258

    0.0256955

    0.0418905

    0.0254714

    0.0417555

    0.0253236

    0.0416206

    0.0251773

    0.041486

    0.0249602

    0.0413517

    0.0247463

    0.0412175

    0.0245352

    0.0410836

    0.0243273

    0.0409499

    0.0241221

    0.0408165

    0.0239195

    0.0406833

    0.0237202

    0.0405503

    0.0235233

    0.0404176

    0.0233292

    0.0402852

    0.0231378

    0.0401529

    0.0229487

    0.040021

    0.0227627

    0.0398893

    0.0225786

    0.0397579

    0.0223977

    0.0396268

    0.0222187

    0.0394959

    0.0220423

    0.0393653

    0.0218683

    0.039235

    0.0216965

    0.0391049

    0.0215269

    0.0389751

    0.0213596

    0.0388456

    0.0211946

    0.0387164

    0.0210314

    0.0385875

    0.020871

    0.0384589

    0.0207121

    0.0383305

    0.0205558

    0.0382025

    0.0204011

    0.0380747

    0.0202486

    0.0379473

    0.0200978

    0.0378201

    0.0199493

    0.0376932

    0.0198025

    0.0375667

    0.0196576

    0.0374825

    0.0195146

    0.0373984

    0.0193731

    0.0372726

    0.0192338

    0.037147

    0.0190959

    0.0370218

    0.01896

    0.0368968

    0.0188256

    0.0367722

    0.018693

    0.0366479

    0.0185617

    0.0365239

    0.0184326

    0.0364003

    0.0183046

    0.0362769

    0.0181784

    0.0361539

    0.0180537

    0.0360311

    0.0179303

    0.0359087

    0.0178087

    0.0357867

    0.0176882

    0.0356649

    0.0175695

    0.0355434

    0.0174519

    0.0354223

    0.017336

    0.0353015

    0.017221

    0.0351811

    0.017108

    0.0350609

    0.0169959

    0.0349411

    0.0168851

    0.0348216

    0.0167758

    0.0347024

    0.0166673

    0.0345836

    0.0165608

    0.0344651

    0.0164547

    0.0343469

    0.0163506

    0.0342291

    0.0162471

    0.0341116

    0.0161452

    0.0339944

    0.0160441

    0.0338775

    0.0159441

    0.033761

    0.0158455

    0.0336448

    0.0157474

    0.0335289

    0.0156513

    0.0334134

    0.0155558

    0.0332982

    0.0154612

    0.0331834

    0.0153679

    0.0330688

    0.0152754

    0.0329546

    0.015184

    0.0328408

    0.0150936

    0.0327272

    0.0150041

    0.032614

    0.0149155

    0.0325012

    0.0148279

    0.0323887

    0.0147413

    0.0322765

    0.0146555

    0.0321646

    0.0145706

    0.0320531

    0.0144866

    0.0319419

    0.0144035

    0.031831

    0.0143213

    0.0317205

    0.0142398

    0.0316103

    0.0141592

    0.0315005

    0.0141058

    0.0313909

    0.0140531

    0.0312818

    0.0139743

    0.0311729

    0.0138964

    0.0310644

    0.0138192

    0.0309562

    0.0137429

    0.0308484

    0.0136672

    0.0307408

    0.0135924

    0.0306336

    0.0135181

    0.0305268

    0.0134447

    0.0304203

    0.013372

    0.0303141

    0.0132998

    0.0302082

    0.0132286

    0.0301027

    0.0131578

    0.0299975

    0.0130879

    0.0298926

    0.0130183

    0.0297881

    0.0129499

    0.0296838

    0.0128817

    0.02958

    0.0128144

    0.0294764

    0.0127476

    0.0293732

    0.0126812

    0.0292703

    0.0126158

    0.0291677

    0.0125507

    0.0290655

    0.0124862

    0.0289636

    0.0124225

    0.028862

    0.0123589

    0.0287607

    0.0122965

    0.0286598

    0.0122341

    0.0285592

    0.0121728

    0.0284589

    0.0121115

    0.0283589

    0.0120512

    0.0282593

    0.011991

    0.02816

    0.0119316

    0.0280609

    0.0118724

    0.0279623

    0.0118141

    0.0278639

    0.0117561

    0.0277659

    0.0116986

    0.0276682

    0.0116416

    0.0275708

    0.0115847

    0.0274737

    0.0115289

    0.0273769

    0.0114731

    0.0272805

    0.0114181

    0.0271844

    0.0113633

    0.0270886

    0.011309

    0.0269931

    0.0112552

    0.0268979

    0.0112015

    0.026803

    0.0111488

    0.0267085

    0.011096

    0.0266142

    0.0110441

    0.0265203

    0.0109922

    0.0264267

    0.0109409

    0.0263334

    0.01089

    0.0262404

    0.0108392

    0.0261477

    0.0107893

    0.0260554

    0.0107392

    0.0259633

    0.0106901

    0.0258715

    0.0106409

    0.0257801

    0.0105922

    0.0256889

    0.010544

    0.0255981

    0.0104957

    0.0255076

    0.0104485

    0.0254173

    0.0104009

    0.0253274

    0.0103543

    0.0252378

    0.0103075

    0.0251485

    0.0102615

    0.0250594

    0.0102155

    0.0249707

    0.0101698

    0.0248823

    0.0101247

    0.0247942

    0.0100795

    0.0247063

    0.0100352

    0.0246188

    0.00999077

    0.0245316

    0.00994688

    0.0244446

    0.00990304

    0.024358

    0.00985979

    0.0242716

    0.00981655

    0.0241856

    0.00977388

    0.0240998

    0.00973117

    0.0240144

    0.00968915

    0.0239292

    0.00964712

    0.0238443

    0.00960527

    0.0237597

    0.00956408

    0.0236754

    0.00952282

    0.0235914

    0.00948214

    0.0235076

    0.0094413

    0.0234242

    0.00940125

    0.023341

    0.00936103

    0.0232582

    0.00932139

    0.0231756

    0.00928169

    0.0230932

    0.00924253

    0.0230112

    0.00920329

    0.0229295

    0.00916469

    0.022848

    0.00912605

    0.0227668

    0.00908757

    0.0226859

    0.00904967

    0.0226053

    0.00901161

    0.0225249

    0.00897423

    0.0224449

    0.00893666

    0.0223651

    0.0088997

    0.0222856

    0.00886252

    0.0222063

    0.00882607

    0.0221273

    0.0087894

    0.0220486

    0.00875331

    0.0219702

    0.00871715

    0.0218921

    0.00868133

    0.0218142

    0.00864575

    0.0217365

    0.00861018

    0.0216592

    0.00857511

    0.0215821

    0.00853994

    0.0215053

    0.00850529

    0.0214288

    0.00847057

    0.0213525

    0.00843621

    0.0212765

    0.00840203

    0.0212007

    0.00836772

    0.0211252

    0.00833418

    0.02105

    0.0083004

    0.0209751

    0.00826707

    0.0209128

    0.00823356

    0.0208507

    0.00820053

    0.0208507

    0.00816782

    0.00813499

    0.00810253

    0.00806991

    0.00803797

    0.00800583

    0.00797413

    0.00794228

    0.00791096

    0.00787953

    0.00784833

    0.00781742

    0.00778628

    0.0077559

    0.0077251

    0.00769503

    0.00766471

    0.00763469

    0.00760485

    0.00757497

    0.00754551

    0.00751593

    0.00748676

    0.00745741

    0.00742862

    0.00739969

    0.00737105

    0.00734246

    0.00731371

    0.00728574

    0.00725744

    0.00722956

    0.00720151

    0.00717395

    0.00714625

    0.00711874

    0.00709149

    0.00706398

    0.0070372

    0.00700996

    0.00698343

    0.00695661

    0.0069301

    0.00690369

    0.00687706

    0.00685116

    0.00682493

    0.00679911

    0.00677309

    0.00675176

    0.00673045

    0.00673045

    報告値

    Time(hr)ivpo

    9.9mg19.2mg/73.8kguM表示 ヒョウジ

    0.1340.260ivpo

    Dose0.1340.26mg/kg0.30011198210.5823068309umol/kg

    50.4250.9406494961

    100.205100.4591265398

    200.1150.005200.25755879060.0111982083

    400.050.02400.11198208290.0447928331

    600.030.023600.06718924970.0515117581

    900.0160.018900.03583426650.0403135498

    1200.010.01351200.02239641660.0302351624

    1800.00450.0091800.01007838750.0201567749

    MOMENT parameters by PKUT Ver17

    iv

    i.v.

    Dose0.134mg/kg

    TimeConc

    minμg/mL

    50.42

    100.205

    200.115

    400.05

    600.03

    900.016

    1200.01

    1800.0045

    AUCMRTCLVdssVdzAUCLMRTLCLLVdssLVdzLextraAICCzket1/2

    μg・min/mLminmL/min/kgL/kgL/kgμg・min/mLminmL/min/kgL/kgL/kgμg/mL1/minmin

    8.177532.63527973116.38642616940.53477560187.913904318434.245305876916.93222391980.5798491873

    8.515630742241.470296685515.73576920560.65256701751.18238829368.252035060743.296569244216.23841864640.70306781731.22015745552-infinite0.00450.013308461652.0831934753

    8.496099724940.843321442915.77194293120.64417853491.12799595568.232504043442.653851646116.2769431140.69427431681.16411313963-19.64992392110.00445474710.01398226949.5732973258

    8.451817375139.510689079715.85457825860.62642531211.02213077668.188221693541.28811055516.36496971080.67567867871.05503526664-15.18201130650.00425501940.015511301144.686591748

    8.415204666638.467845385815.92355804860.6125449690.94139084598.151608985140.219528030816.43847248390.66114760480.9718322675-13.5121176630.00402075720.016914927740.9784301118

    8.36068490936.995378453416.0273950590.59293954580.82754531638.097089227438.710920381316.54915689280.64063309490.85448553716-6.97290296640.00354781410.019367392635.7893906462

    8.322108639836.000292154516.1016883820.57966548590.74533081718.058512958337.691496931716.62837805110.62674846030.76971074757-2.46119955690.003124040.021603411532.0850796657

    8.287861617235.147868651916.16822362490.56827860030.66813522658.024265935736.818289418716.69934684040.61484138510.690083347683.88837382570.0026706440.024199028928.6435949441

    extrapolation to time zero

    leadAICC0t1/2ΔAUCΔAUMCΔAUCLΔAUMCLAUCMRTCLVdssVdzAUCLMRTLCLLVdssLVdzL

    2-infinite0.86048780494.83201304592.151219512202.02069390081.51682488810.647319237132.591202005712.58532753790.41017095210.94566358710.272728961534.927586782613.04424564320.45560402170.9801467692

    3-8.8471969580.56076035348.42458775031.401900883401.38497226510.544587436

    4-7.71474484310.429815243112.2805476511.074538107801.07444363390.0406608435

    5-6.18239377790.364281442615.4204893150.910703606600.9074004267-0.2404577777

    6-3.44896418180.303395560419.2630809380.758488900900.742715943-0.5257113738

    7-0.73562709410.260643854922.89367915230.651609637200.6200505112-0.7441344557

    83.88837382570.208126240428.64359494410.520315601100.4588361696-1.040090423

    MOMENT parameters by PKUT Ver17

    po

    p.o.

    Dose0.26mg/kg

    MAT128.1157718408min

    TimeConcKa0.0078054402min^-1

    minμg/mL

    200.005

    400.02

    600.023

    900.018

    1200.0135

    1800.009

    AUCMRTCLVdssVdzAUCLMRTLCLLVdssLVdzLextraAICCzket1/2BACmaxTmax

    μg・min/mLminmL/min/kgL/kgL/kgμg・min/mLminmL/min/kgL/kgL/kgμg/mL1/minmin%μg/mLmin

    2.492589.3079237713104.31293881649.31597198822.477109000290.74929093104.96106549299.52514226870.02360

    3.8243038697172.424229013567.98622935311.722473179710.06048037083.8089128699173.697470688168.260947121611.856753861810.10113261392-infinite0.0090.0067577518102.5706774811

    3.6675601735160.706973846570.891815731211.39280917669.36880373863.6521691736161.985481524371.190568574211.53183853059.40828582443-18.55247750620.00889143930.007566794891.6038026339

    3.6156919587157.056347745771.908780662411.29373046179.16106120873.6003009589158.337668278672.216184972111.43454234059.20022401564-23.5403598530.00881637640.007849394288.3058186946

    3.9230837771178.428888545666.274394015911.825266463310.18663710763.9076927773179.693595009766.535425075711.955989727310.22675861635-15.66259244370.00930739670.0065060131106.5394696602

    64.91965402314853.06217047374.004950487119.436273703419.477125017364.90426302334854.24682862674.005900196519.445628324719.481743703563.06123604310.01283647670.00020562333370.956603518

    報告値

    iv

    po

    time(min)

    concentration(nmol/mL)

    simulation

    iv

    po

    time(min)

    concentration(μg/mL)

    Sheet3

    Values at t =0.0 minutesPSinf45.5PSinf45.5PSinf55.9PSinf55.9

    PSeffh2.23PSeffh2.23PSeffh9.57PSeffh9.57

    CLbile9.35po 0.5823umol/kgi.v. 0.3umol/kgpo 0.5823umol/kgi.v. 0.3umol/kg

    CLmet0ts1ts1ts1ts1

    CLrenal11.30001.3640001.363

    Cp-0.3600.361.2980.3600.361.287

    Fa0.470.7200.721.2520.7200.721.225

    Kpbr0.0331.0801.081.211.0801.081.171

    Kplu0.671.4401.441.1711.4401.441.121

    Kpmu0.21.801.81.1341.801.81.075

    Kpr0.12.1602.161.0982.1602.161.033

    PSeffh2.239.572.5202.521.0642.5202.520.994

    PSinf45.555.92.8802.881.0322.8802.880.959

    Qbr103.2403.241.0013.2403.240.926

    Qh20.73.603.60.9713.603.60.896

    Qmu10.73.9603.960.9433.9603.960.868

    Qr15.74.3204.320.9164.3204.320.842

    Qtot74.94.6604.660.8914.6804.680.817

    Rb0.565050.8685.0405.040.794

    Va3935.3605.360.8445.405.40.773

    Vbr20.75.7205.720.8215.7605.760.753

    Vh17.46.0806.080.7996.1206.120.734

    Vhe6.76.4406.440.7786.4806.480.716

    Vlu16.76.806.80.7586.8406.840.699

    Vmu4297.1607.160.7387.207.20.683

    Vr4.437.5207.520.727.5607.560.668

    ex1.bolus300.17.8807.880.7017.9207.920.653

    ex1.infusion08.2408.240.6848.2808.280.639

    ex3.bolus08.608.60.6678.6408.640.626

    ex3.infusion08.9608.960.6519090.613

    fB0.8399.3209.320.6369.3609.360.601

    fTh0.519.6609.660.6229.7209.720.589

    flux(0,7)0100100.60810.08010.080.578

    flux(0,15)010.36010.360.59410.44010.440.567

    flux(0,16)010.72010.720.5810.8010.80.556

    flux(0,17)011.08011.080.56711.16011.160.546

    flux(0,19)011.44011.440.55511.52011.520.536

    flux(1,3)011.8011.80.54211.88011.880.527

    flux(2,1)11.98872812.16012.160.5312.24012.240.518

    flux(3,2)012.52012.520.51912.6012.60.509

    flux(3,4)012.88012.880.50812.96012.960.5

    flux(3,5)013.24013.240.49713.32013.320.492

    flux(3,18)013.6013.60.48613.68013.680.483

    flux(4,1)7.63613213.96013.960.47614.04014.040.475

    flux(5,1)8.17066214.32014.320.46614.4014.40.467

    flux(6,1)15.80679414.68014.680.45714.76014.760.46

    flux(6,7)015.04015.040.44815.12015.120.452

    flux(6,8)015.4015.40.43915.48015.480.445

    flux(7,6)015.76015.760.4315.84015.840.438

    flux(8,7)016.12016.120.42116.2016.20.431

    flux(8,15)016.48016.480.41316.56016.560.424

    flux(8,16)0.00E+0016.74016.740.40716.78016.780.42

    flux(8,17)0.00E+00170170.401170170.416

    flux(8,19)0.00E+00170170.401170170.416

    flux(9,8)0.00E+0017.362.58E-0417.360.39317.362.15E-0417.360.41

    flux(11,6)0.00E+0017.721.57E-0317.720.38617.721.27E-0317.720.404

    flux(11,15)0.00E+0018.083.16E-0318.080.37918.082.62E-0318.080.397

    flux(12,1)8.63E+0018.444.76E-0318.440.37118.444.07E-0318.440.391

    flux(13,11)0.00E+0018.86.34E-0318.80.36418.85.59E-0318.80.386

    flux(13,16)0.00E+0019.167.89E-0319.160.35719.167.16E-0319.160.38

    flux(14,13)0.00E+0019.529.41E-0319.520.35119.528.76E-0319.520.374

    flux(14,17)0.00E+0019.761.04E-0219.760.34619.769.85E-0319.760.37

    flux(15,11)0.00E+00201.14E-02200.342201.09E-02200.367

    flux(16,13)0.00E+0020.361.29E-0220.360.33620.361.26E-0220.360.361

    flux(17,14)0.00E+0020.721.43E-0220.720.3320.721.42E-0220.720.356

    flux(18,14)0.00E+0021.081.57E-0221.080.32421.081.59E-0221.080.351

    flux(18,19)0.00E+0021.441.70E-0221.440.31821.441.75E-0221.440.346

    flux(19,18)0.00E+0021.81.83E-0221.80.31221.81.91E-0221.80.341

    k(0,7)0.00E+0022.161.96E-0222.160.30722.162.07E-0222.160.336

    k(0,15)0.00E+0022.522.09E-0222.520.30122.522.23E-0222.520.331

    k(0,16)0.00E+0022.882.21E-0222.880.29622.882.39E-0222.880.326

    k(0,17)0.00E+0023.242.33E-0223.240.29123.242.54E-0223.240.322

    k(0,19)0.00E+0023.62.45E-0223.60.28523.62.69E-0223.60.317

    k(1,3)6.69E+0023.962.56E-0223.960.2823.962.84E-0223.960.312

    k(2,1)3.99E-0224.322.67E-0224.320.27624.322.98E-0224.320.308

    k(3,2)3.54E+0124.682.78E-0224.680.27124.683.13E-0224.680.304

    k(3,4)1.46E+0125.042.88E-0225.040.26625.043.26E-0225.040.299

    k(3,5)1.25E-0125.42.99E-0225.40.26125.43.40E-0225.40.295

    k(3,18)1.54E+0125.763.08E-0225.760.25725.763.53E-0225.760.291

    k(4,1)2.54E-0226.123.18E-0226.120.25326.123.66E-0226.120.287

    k(5,1)2.72E-0226.483.27E-0226.480.24826.483.79E-0226.480.283

    k(6,1)5.27E-0226.843.36E-0226.840.24426.843.91E-0226.840.279

    k(6,7)6.54E-0227.23.45E-0227.20.2427.24.03E-0227.20.275

    k(6,8)8.50E-0327.563.54E-0227.560.23627.564.15E-0227.560.272

    k(7,6)6.67E+0027.923.62E-0227.920.23227.924.26E-0227.920.268

    k(8,7)2.74E-0128.283.70E-0228.280.22828.284.37E-0228.280.264

    k(8,15)2.74E-0128.643.78E-0228.640.22428.644.48E-0228.640.261

    k(8,16)2.74E-01293.85E-02290.221294.59E-02290.257

    k(8,17)2.74E-0129.363.93E-0229.360.21729.364.69E-0229.360.254

    k(8,19)2.74E-0129.724.00E-0229.720.21329.724.79E-0229.720.25

    k(9,8)9.59E-0330.084.07E-0230.080.2130.084.89E-0230.080.247

    k(11,6)1.54E+0130.444.13E-0230.440.20630.444.98E-0230.440.243

    k(11,15)6.54E-0230.84.20E-0230.80.20330.85.07E-0230.80.24

    k(12,1)2.88E-0231.164.26E-0231.160.231.165.16E-0231.160.237

    k(13,11)1.54E+0131.524.32E-0231.520.19631.525.25E-0231.520.234

    k(13,16)6.54E-0231.884.38E-0231.880.19331.885.34E-0231.880.231

    k(14,13)1.54E+0132.244.44E-0232.240.1932.245.42E-0232.240.228

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    Sheet3

    520

    1040

    2060

    4090

    60120

    90180

    120

    180

    iv

    po

    Time (min)

    Plasma concentration(μM)

    0.9406494961

    0.0111982083

    0.4591265398

    0.0447928331

    0.2575587906

    0.0515117581

    0.1119820829

    0.0403135498

    0.0671892497

    0.0302351624

    0.0358342665

    0.0201567749

    0.0223964166

    0.0100783875

  • 16/24

    Plasma

    Liver

    PSinf(OATP1B1) PSbile (MRP2/BCRP)

    Effect of the transporters(influx, efflux) in the liver on the time-course and exposure of drugs in the plasma and target tissue.

    Uptake transporter (OATP1B1, PSinf)

    (Adverse effect)

    Big effect onplasma and muscle

    exposure

    Small (if any) effect onLiver exposre

    ×1/3

    ×3

    ×3

    ×1/3

    ×1/3

    ×3

    ×1/3

    ×3

    Efflux (biliary) transporter (MRP2, BCRP, OATP1B1, PSeff)(Pharamcological effect)

    Small (if any) effect onplasma and muscle

    exposure

    Big effect onLiver exposre

    (We need PET studies to confirm this prediction)

    (20)

  • inteff

    intinf

    bb

    CLPSCLPS

    DoseAUCf

    +⋅

    =⋅

    Vb, Cb, fb

    Vi, Ci, fb

    Vh, Ch, fh

    QhQh

    PSinf PSeff

    CLint

    CLr

    Effect of functional alteration of metabolism/efflux process on the plasma and liver concentrations

    Blood AUC

    blood

    liver

    When PSeffCLint(intrinsic clearance-limited)

    eff

    intinf

    bb

    PSCLPS

    DoseAUCf⋅

    =⋅

    17

    In either case, the change in PSinf(uptake clearance)does not influence the liver exposure (fh ・AUCh), but influence the blood exposure

  • 18

    “Extended Clearance Concept”

    • enough to predict the change in AUC and/or Css both in plasma and tissue

    (PGx, DDI (at least for static analyses, and not for dynamic analysis)

    “PBPK modeling”

    • Appropriate model for describing the drug conc-time courseboth in plasma and tissue as well as AUC, Css

  • Summary :

    1) Sensitivity analysis indicated that the change in hepatic uptakeability alters the plasma concentration profile sensitively (toxicity) and may not affect the profile in the liver, target tissue(pharamcological effect). GWAS for simvastatin in fact demonstrated it was the case.

    2) Alteration in the biliary excretion ability (MRP2, BCRP) may affect the pharmacological effect(hepatic exposure) much more sensitively than that of the uptake, though there is little changein the plasma exposures.

    ⇒ We have to confirm it by PET analyses

    This prediction has been supported by several studiespublished by other groups (simvastatin GWAS study,rosuvastatin Jupiter trial)

    19

  • 20

    Contents

    1) Introduction; Rate-determining process (focusing on the liver)

    (Uptake, efflux, elimination, metabolism) DDI

    2) PGx of OATP1B1: PBPK model based analysis

    3) PBPK model based analysis of OATPs mediated drug-drug interaction (Top down + Bottom-up)

    (i) victim drugs-perpetrator drugs

    (ii)endogenous biomarker (CP-I) – rifampicin

  • Drug-Drug Interaction between CER and Cyclosporine A/Gemfibrozil

    Plas

    ma

    conc

    entr

    atio

    n of

    cer

    ivas

    tatin

    (ng/

    mL)

    0.01

    0.1

    1

    10

    0 4 8 12 16

    healthy subjectspatients on CsA

    0.1

    1

    10

    0 6 12 18 24Time [h]

    +placebo+gemfibrozil

    Backman JT et al. ,Clin Pharmacol Ther., (2002)

    Cmax: x 5.0

    t1/2: x 1.2

    Cmax: x 2.5

    t1/2: x 2.4

    AUC: x 3.8

    AUC: x 4.4

    Cyclosporine A (CsA) Gemfibrozil (GEM)

    Time [h]

    Mück W et al., Clin Pharmacol Ther., (1999)

    (CYP3A4)CYP2C8

    OATP1B1

    CER

    CER

    M-1 M-23

    M-24(minor)

    CYP3A4(CYP2C8)

    CYP3A4CYP2C8

    CYP2C8

    CsA GEM/GEM-glu

    To develop PBPK models to quantitatively describe the transporter- and enzyme-mediated DDIs of CER

    CLh ↓ Vd ↓ T ½ → CLh ↓ Vd T ½ 21

  • PBPK analyses of transporter/enzyme mediated complex DDI

    22

    Yoshikado T et al.,Clin Pharmacol Ther., (2016)

    Cerivastatin (CER)

    Cyclosporine A (CsA)

    Gemfibrozil (GEM)

    • In this analysis, CER and GEM fitting (Step3) were performed using Cluster Newton Method (CNM) and control fitting and DDI simulation (Step4) were performed using Napp (Numeric Analysis Program for Pharmacokinetics) version 2.31.

    • CsA model and optimized parameters were used reported by Yoshikado et al.

  • 23

    Best simulation of CER vs CsA / CER vs GEM

    CER vs CsA CER vs GEM

    ○:Observed DataBackman JT et al., Clin Pharmacol Ther. (2002)

    ○:Observed DataMück W et al. Clin Pharmacol Ther. (1999)

    Present PBPK models were able to well reproduce the clinical DDIs

    We may have to consider the inhibition of GI Pgp

    Yao Y, Toshimoto K, Kim SJ, Yoshikado T, Sugiyama Y. Quantitative Analysis of Complex Drug-Drug Interactions between Cerivastatin and Metabolism/Transport Inhibitors Using Physiologically Based Pharmacokinetic Modeling. Drug Metab Dispos. 46:924-933. (2018)

  • Summary

    • The concentration-time profiles for CER and GEM/GEM-glu described by PBPK models were well agreed with the clinically observed data.

    • The present PBPK models were able to capture the clinical DDIs CER and CsA : using x1/2 in vivo Ki value for OATP1B1 which is

    previously reported. We may have to take into account the inhibitionof intestinal Pgp to better describe this DDI

    CER and GEM: using reported in vitro Ki value for OATP1B1 or CYP2C8 when fm_2C8 = 0.85 value was used

    complex DDIs involving both transporters and metabolic enzymes could be quantitatively predicted by PBPK modeling approach

    24

  • + ICZ(100 mg bid for 3 days)

    + GEM(600 mg bid for 3 days)

    + ICZ and GEM

    Control

    Increase in repaglinide concentration by co-administration of itraconazole (ICZ) and gemfibrozil (GEM)

    Diabetologia 46: 347-351 (2003)

    AUC ×19.4

    ×8.1

    ×1.4

    Can this drastic increase in the extent of interaction by ICZ/GEM combination be explained simply by the inhibition of enzyme/transporter?25

  • Analysis using clearance concept and PBPK modeling

    50%↓

    >90%↓

    80%↓

    OATP1B1

    Uptake

    Metabolism

    Repaglinide

    CYP2C8

    CYP3A4

    Liver

    ICZICZ: itraconazole

    GEM,GEM-glu

    GEM: gemfibrozil

    26

    Kudo T et al., Analysis of the repaglinide concentration increase produced by gemfibrozil and itraconazole based on the inhibition of thehepatic uptake transporter and metabolic enzymes.

    Drug Metab Dispos 41:362-371 (2013).

    fm2C8 = 0.8

  • 27

    In the official labeling, the prediction of DDI using PBPK modeling has been appearing. We already have many examples.

    例:iburutinib ( Bruton's tyrosine kinase (BTK)inhibitor)

  • 28

    Contents

    1) Introduction; Rate-determining process (focusing on the liver)

    (Uptake, efflux, elimination, metabolism) DDI

    2) PGx of OATP1B1: PBPK model based analysis

    3) PBPK model based analysis of OATPs mediated drug-drug interaction (Top down + Bottom-up)

    (i) victim drugs-perpetrator drugs

    (ii)endogenous biomarker (CP-I) – rifampicin

  • 29

    Current criteria may request pharmaceutical industry to conduct unnecessary DDI study, and overlook DDI risk.

    R-value = 1 + Iu, in, max / Ki or IC50Iu, in, max = fu* Imax + (ka x Dose x Fa*Fg / Qh)

    EMAR ≧ 1.04

    PMDAR ≧ 1.25

    FDAR ≧ 1.25

    Imax/Ki ≧ 0.1

    If Fa*Fg values and ka values are unknown, use 1 and 0.1 min-1If fu values are

  • Endogenous probes will offer an option in assessment of pharmacokinetic DDI during drug development

    single dose

    multiple dose

    DDI risk using probe substrates

    Phase I Phase II

    Pharmacokinetic DDI risks caused by the investigational new drug can be evaluated using endogenous biomarkers during Phase I helping decision of conducting

    clinical DDI study, and design of phase 3 to avoid DDI

    Plasma and urine specimens are subjected to the pharmacokinetic analysis of metabolites

    setting exclusion criteria of drugs to avoid DDI

  • Step 1 phase I trial of New Chemical Entity

    (NCE)

    CP-I levels

    time

    conc doses

    of NCE

    Obtain in vivo Ki,OATP1Bs (CP-I) using

    CP-I (an endogenous probe)

    Step 2

    in vitro transport study to obtain inhibitory potency of NCE

    using CP-I and a probe drug

    PBPK modeling-based simulations

    in vitro Ki,OATP1Bs (Drug) in vitro Ki,OATP1Bs (CP-I)

    in vivo Ki,OATP1Bs (CP-I)

    Xin vivo Ki,OATP1Bs (Drug) in vitro Ki,OATP1Bs (CP-I)

    in vitro Ki,OATP1Bs (Drug) =

    Step 3

    Obtain

    Quantitative prediction of the impact of NCE on the pharmacokinetics of a probe drug (concentration-time profiles, AUC, Cmax)

    Strategy to predict DDI for a probe substrate using CP-I as an endogenous biomarker

    31

    Yoshikado T, Toshimoto K, Maeda K, Kusuhara H, Kimoto E, Rodrigues AD, Chiba K,Sugiyama Y. PBPK Modeling of Coproporphyrin I as an Endogenous Biomarker for Drug Interactions Involving Inhibition of Hepatic OATP1B1 and OATP1B3.CPT Pharmacometrics Syst Pharmacol. 2018 Sep 3. doi: 10.1002/psp4.12348. [Epub ahead of print]

    https://www.ncbi.nlm.nih.gov/pubmed/30175555

  • 32

    Parameter Unit Value

    CLint,all L/h/kg 39.6/42.9/47.7

    vsyn nmol/h/kg

    0.449/0.274/0.222

    Rdif - 0.035

    β - 0.8/0.5/0.2

    γ - 0.020

    fbile - 0.84

    ktransit h-1 5.2

    ka h-1 3.0

    FaFg - 0.294/0.353/0.362

    Ki,u,OATP1Bs μM 0.0846/0.100/0.111

    Ki,u,MRP2 μM 0.87

    β = 0.8

    β = 0.5 β = 0.2

    Parameters optimization by nonlinear least-squares fitting of CP-I bloodconcentration

    Optimized parameters: CLint,all, FaFg (vsyn) and Ki,u,OATP1Bs

    +RIF (600 mg)+RIF (300 mg)Control

  • PTV (β = 0.5, Ki,u = 0.22 μM)

    33

    Prediction of the effect of RIF on blood concentration-time profiles of statins

    RSV (β = 0.5, Ki,u = 0.14 μM)

    ATV (β = 0.5, Ki,u = 0.28 μM) FLV (β = 0.5, Ki,u = 0.35 μM)

    +RIF (600 mg)+RIF (300 mg)Control

  • Summary

    The PBPK modeling approach provides a deeper understanding of the mechanisms governing changes in the plasma conc. of an endogenous biomarker (CP-I) for OATP1Bs and MRP2 (CP-I) and enables complex analyses of the dose-dependent inhibitory effects of RIF on the hepatic OATP1Bs/MRP2-mediated transport of CP-I. It also lead to the successful prediction of RIF interaction with several probe substrates (statins) for OATP1Bs.

  • 35

    COI

    I am a scientific advisory board member of the following companies.

    1) SimCYP2) SEKISUI Medical

    I am and have been a consultant of and collaborating with ca. 30 industries

  • 31

    Sugiyama Lab Main MembersTakashi Yoshikado(wet +dry, IVIVE DDI)Kota Toshimoto (dry,VCT(Virtual clinical study)Satoshi Koyama (wet + dry, IVIVE, DDI)Jieun.Park (wet + dry, IVIVE, DDI)

    Wooin Lee (biochemistry of transporters,regulation of transporters)

    Kim, Soo-Jin: (DDI, PGx, IVIVE)

    Atsuko Tomaru (IVIVE, Bioanalysis wth LC/MS/MS)Aya Kiriake (IVIVE, transporter expression systems)Kiyoe Morita (IVIVE, isolated hepatocyte (suspension, plated) In-Soo Yoon (DDI, isolated hepatocytes (suspension, plated)

    Kazuya Maeda, Hiroyuki Kusuhara (Univ of Tokyo)

    Azusa Futatsugi (DDI, PGx)Keiko Ishigame (IVIVE, Bioanalysis) Hisako Motokawa(IVIVE, Bioanalysis)

    RIKEN

    PET-IVIVE consortiumPfizer, Daewoong(Korea), Abbie, Merck, Boehringer, BMS

    Dr.Yasuyoshi Watanabe Labo, RIKEN Center for Life Science and RIKEN Center for Molecular Imaging Sciences

    36

    Secretaries;Sachie Sato, Aya Sonobe, Aya Miyamoto

    スライド番号 1スライド番号 2 Drug-interaction between Cerivastatin and Gemfibrozil/CsA Examples of substrates for uptake/efflux transporters and enzymes (1) スライド番号 6スライド番号 7スライド番号 8スライド番号 9スライド番号 10スライド番号 11スライド番号 12スライド番号 13スライド番号 14スライド番号 15スライド番号 16スライド番号 17スライド番号 18スライド番号 19スライド番号 20スライド番号 21PBPK analyses of transporter/enzyme �mediated complex DDIBest simulation of CER vs CsA / CER vs GEMスライド番号 24スライド番号 25スライド番号 26スライド番号 27スライド番号 28スライド番号 29Endogenous probes will offer an option in assessment of pharmacokinetic DDI during drug development スライド番号 31スライド番号 32Prediction of the effect of RIF on blood concentration-time profiles of statinsSummaryスラ