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  • 發布時間:2020-04-22 16:28 原文鏈接: ApricotDesignsPP5+1應用實驗案例(三)

    Predicted Hepatic Clearance ml/min/kg (N=6) a
    Freshd 56.1% 56.6% Drug Enzymes Responsible for
    Metabolism Observed in vivo ClSYS ml/min/kg 34.7%
    Single Donorb Drugs Ranked Correctly e:
    Drugs Ranked Correctly (excluding primary 2D6 substrates) e:
    Average:
    RSD:
    a) Predicted hepatic clearance was calculated using 4 time points (0, 30, 60, & 120 minutes).
    b) Cryopreserved single donor, Lot TPZ was purchased from In Vitro Technologies
    c) Cryopreserved 10 donor pool, Lot KDN was purchased from In Vitro Technologies
    d) Fresh Hepatocytes were purchased from In Vitro Technologies, Tissue Transformation Technologies, and Cellz Direct
    e) Ranking was based on high, medium, or low stability. Red indicates an incorrect ranking with systemic clearance.
    Table 2. Comparison of Predicted Hepatic Clearance Values for Various Human Hepatocyte Preparations with Observed In Vivo Systemic

    Observed In Vivo CL (mL/min/kg)
    Predicted CL (mL/min/kg)
    Single Donor
    10 Donor Pool
    Fresh
    Figure 5. In Vitro - In Vivo Clearance Correlations

    Based on these results, we have decided to initiate a screening paradigm of initially evaluating compounds using a single donor of cryopreserved hepatocytes, followed by assessing compounds of interest with fresh hepatocytes on a monthly basis. In this manner, we can screen compounds for metabolic stability using the same lot of hepatocytes and draw comparisons over time for similar chemical series. And we would also reduce the liabilities associated from screening with a single donor of cryopreserved hepatocytes.
    Introduction Abstract References
    1. Lave T, Dupin S, Schmitt C, Valles B, Ubeaud G, Chou RC, Jaeck D, and Coassolo P (1997) The use of human hepatocytes to select compounds based on their expected hepatic extraction ratios in humans.
    Pharmaceutical Research, 14:152–155.
    2. McGinnity DF, Soars MG, Urbanowicz RA, and Riley RJ (2004) Evaluation of fresh and cryopreserved hepatocytes as in vitro drug metabolism tools for the prediction of metabolic clearance. Drug Metabolism and Disposition, 32(11): 1247-53.
    3. Griffin SJ and Houston JB (2005) Prediction of in vitro intrinsic clearance from hepatocytes: comparison of suspensions and monolayer cultures. Drug Metabolism and Disposition, 33(1): 115-20.
    4. Lau YY, Sapidou E, Cui X, White RE, and Cheng KC (2002) Development of a novel in vitro model to predict hepatic clearance using fresh, cryopreserved, and sandwich-cultured hepatocytes. Drug Metabolism and Disposition, 30(12):1446-54.
    5. Jones HM and Houston JB (2004) Substrate depletion approach for determining in vitro metabolic clearance: time dependencies in hepatocyte and microsomal incubations. Drug Metabolism and Disposition, 32(9):973- 82.
    6. Shibata Y, Takahashi H, Chiba M, and Ishii Y (2002) Prediction of hepatic clearance and availability by cryopreserved human hepatocytes: an application of serum incubation method. Drug Metabolism and Disposition, 30(8):892-6.
    7. Oravcova′ J, Bohs B, and Lindner W (1996) Drug-protein binding studies: new trends in analytical and experimental methodology. Journal of Chromatography B, 677:1–28.
    8. Obach RS (1997) Nonspecific binding to microsomes: impact on scale-up of in vitro intrinsic clearance to hepatic clearance as assessed through examination of warfarin, imipramine and propranolol. Drug Metabolism and Disposition, 25:1359–1369.
    9. Hardman JG, Limbird LE, and Gilman AG (2001) Goodman & Gilman’s The Pharmacological Basis of Therapeutics, 10th ed, McGraw-Hill, New York.
    10. Kwon Y (2001) Handbook of Essential Pharmacokinetics, Pharmacodynamics, and Drug Metabolism for Industrial Scientists, Kluwer Academic / Plenum Publishers, New York.
     

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