Prediction of in vivo drug disposition from in vitro data based on physiological pharmacokinetics

被引:0
|
作者
Iwatsubo, T [1 ]
Hirota, N [1 ]
Ooie, T [1 ]
Suzuki, H [1 ]
Sugiyama, Y [1 ]
机构
[1] UNIV TOKYO, FAC PHARMACEUT SCI, BUNKYO KU, TOKYO 113, JAPAN
关键词
prediction; in vitro; in vivo; drug disposition; physiological pharmacokinetics;
D O I
10.1002/(SICI)1099-081X(199605)17:4<273::AID-BDD961>3.0.CO;2-R
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Because of the increasing availability of human liver samples we now have a greater ability to predict in vivo drug disposition and pharmacokinetics in man from in vitro metabolic and binding studies. Firstly, we review several successful attempts to predict in vivo metabolic clearances in experimental animals and humans from in vitro biochemical parameters such as plasma protein binding and hepatic metabolism, based on anatomically and physiologically realistic pharmacokinetic models. Despite the success of this approach, however, there are still some difficulties in predicting in vivo hepatic metabolism in man using in vitro human liver samples due to the large interindividual differences arising from polymorphism (intrinsic variability) or differences in enzyme activity (extrinsic variability) due to the conditions under which liver samples have been kept. We propose a possible method to overcome these errors resulting from inter-individual differences by applying the concept of a scaling factor. In the kinetic models used in prediction, we often make a number of assumptions, e.g. rapid equilibrium between the blood and hepatocytes, availability of only the unbound drug for uptake and elimination, and homogeneous distribution of enzymes along the path taken by the blood in the liver. However, recent evidence suggests that these assumptions are not necessarily valid. As examples involving the first and second assumptions, respectively, there is the plasma-membrane-permeability-limited metabolism of a high-clearance drug, 4-methylumbelliferone, and the albumin-mediated uptake of amphiphatic drugs. The multiple-indicator dilution method (MID) is useful for estimating the membrane permeability of drugs in liver perfusion systems where the spatial organization and cell polarity of the liver are maintained. If the aforementioned factors are taken into consideration and membrane permeabilities using human hepatocytes and/or subcellular fractions such as microsomes are measured under conditions close to those in vivo, much more reliable predictions of drug hepatic clearance in man may become possible.
引用
收藏
页码:273 / 310
页数:38
相关论文
共 50 条
  • [41] Database analysis for the prediction of in vivo drug-drug interactions from in vitro data (vol 57, pg 473, 2004)
    Ito, K
    Brown, HS
    Houston, JB
    BRITISH JOURNAL OF CLINICAL PHARMACOLOGY, 2004, 58 (05) : 565 - 568
  • [42] Prediction of in-vivo iontophoretic drug release data from in-vitro experiments-insights from modeling
    Simon, Laurent
    Ospina, Juan
    Ita, Kevin
    MATHEMATICAL BIOSCIENCES, 2015, 270 : 106 - 114
  • [43] PREDICTION OF BRAIN DISPOSITION IN RAT AND HUMAN FROM IN VITRO DATA: CORRECTION OF PASSIVE PERMEATION
    Nicolai, Johan
    Chapy, Helene
    Gillet, Eric
    Saunders, Kenneth
    Nicolas, Jean-Marie
    Chanteux, Hugues
    Ungell, Anna-Lena
    DRUG METABOLISM AND PHARMACOKINETICS, 2020, 35 (01) : S61 - S61
  • [44] Results from Drug–Drug Interaction Studies In Vitro and In Vivo Investigating the Effect of Finerenone on the Pharmacokinetics of Comedications
    Roland Heinig
    Michael Gerisch
    Michaela Bairlein
    Johannes Nagelschmitz
    Stephanie Loewen
    European Journal of Drug Metabolism and Pharmacokinetics, 2020, 45 : 433 - 444
  • [45] PREDICTION OF BICTEGRAVIR HUMAN PHARMACOKINETICS FROM PROTEIN BINDING AND IN VITRO-IN VIVO CORRELATION
    Wang, Jianhong
    Lazerwith, Scott
    Jin, Haolun
    Morganelli, Philip
    Pyun, Peter
    Tang, Jennifer
    Matles, Mike
    Mwangi, Judy
    Wang, Kelly
    Eisenberg, Gene
    Murray, Bernard P.
    Rhodes, Gerry
    Zhang, Heather
    Custodio, Joseph
    DRUG METABOLISM AND PHARMACOKINETICS, 2018, 33 (01) : S26 - S27
  • [46] Prediction of Oral Drug Absorption in Rats from In Vitro Data
    Yoshiyuki Akiyama
    Naoya Matsumura
    Asami Ono
    Shun Hayashi
    Satoko Funaki
    Naomi Tamura
    Takahiro Kimoto
    Maiko Jiko
    Yuka Haruna
    Akiko Sarashina
    Masahiro Ishida
    Kotaro Nishiyama
    Masahiro Fushimi
    Yukiko Kojima
    Takuya Fujita
    Kiyohiko Sugano
    Pharmaceutical Research, 2023, 40 : 359 - 373
  • [47] Prediction of Oral Drug Absorption in Rats from In Vitro Data
    Akiyama, Yoshiyuki
    Matsumura, Naoya
    Ono, Asami
    Hayashi, Shun
    Funaki, Satoko
    Tamura, Naomi
    Kimoto, Takahiro
    Jiko, Maiko
    Haruna, Yuka
    Sarashina, Akiko
    Ishida, Masahiro
    Nishiyama, Kotaro
    Fushimi, Masahiro
    Kojima, Yukiko
    Fujita, Takuya
    Sugano, Kiyohiko
    PHARMACEUTICAL RESEARCH, 2023, 40 (02) : 359 - 373
  • [48] Prediction of in vivo drug clearance from in vitro data.: I:: Impact of inter-individual variability
    Howgate, E. M.
    Yeo, K. Rowland
    Proctor, N. J.
    Tucker, G. T.
    Rostami-Hodjegan, A.
    XENOBIOTICA, 2006, 36 (06) : 473 - 497
  • [49] Prediction of in vivo drug clearance from in vitro data.: II:: Potential inter-ethnic differences
    Inoue, S.
    Howgate, E. M.
    Rowland-Yeo, K.
    Shimada, T.
    Yamazaki, H.
    Tucker, G. T.
    Rostami-Hodjegan, A.
    XENOBIOTICA, 2006, 36 (06) : 499 - 513
  • [50] PREDICTION OF IN-VIVO DRUG-INTERACTIONS FROM IN-VITRO DATA - RATIONALE FOR A SYSTEMATIC-APPROACH
    LEEMANN, T
    DAYER, P
    CLINICAL PHARMACOLOGY & THERAPEUTICS, 1994, 55 (02) : 154 - 154