Importance of in vitro conditions for modeling the in vivo dose in humans by in vitro-in vivo extrapolation (IVIVE)

被引:10
作者
Algharably, Engi Abdel Hady [1 ,2 ,3 ,4 ,5 ]
Kreutz, Reinhold [1 ,2 ,3 ,4 ]
Gundert-Remy, Ursula [1 ,2 ,3 ,4 ]
机构
[1] Charite Univ Med Berlin, Inst Clin Pharmacol & Toxicol, Berlin, Germany
[2] Free Univ Berlin, Berlin, Germany
[3] Humboldt Univ, Berlin, Germany
[4] Berlin Inst Hlth, Berlin, Germany
[5] Ain Shams Univ, Fac Pharm, Dept Clin Pharm, Cairo, Egypt
关键词
Pharmacokinetics; Amiodarone; Animal alternatives; In silico; Physiologically based pharmacokinetic modeling; Hepatotoxicity; AMIODARONE; PHARMACOKINETICS; METABOLITE; CONSENSUS; LIVER; PHARMACOLOGY; TOXICITY; KINETICS; PROTEIN; VALUES;
D O I
10.1007/s00204-018-2382-x
中图分类号
R99 [毒物学(毒理学)];
学科分类号
100405 ;
摘要
In vitro studies are increasingly proposed to replace in vivo toxicity testing of substances. We set out to apply physiologically based pharmacokinetic (PBPK) modeling to predict the in vivo dose of amiodarone that leads to the same concentration-time profile in the supernatant and the cell lysate of cultured primary human hepatic cells (PHH). A PBPK human model was constructed based on the structure and tissue distribution of amiodarone in a rat model and using physiological human parameters. The predicted concentration-time profile in plasma was in agreement with human experimental data with the unbound fraction of amiodarone in plasma crucially affecting the goodness-of-fit. Using the validated kinetic model, we subsequently described the in vitro concentration-time data of amiodarone in PHH culture. However, this could be only appropriately modeled under conditions of zero protein binding and the very low clearance of the in vitro system in PHH culture. However, these represent unphysiological conditions and, thus, the main difference between the in vivo and the in vitro systems. Our results reveal that, for meaningful quantitative extrapolation from in vitro to in vivo conditions in PBPK studies, it is essential to avoid non-intended differences between these conditions. Specifically, clearance and protein binding, as demonstrated in our analysis of amiodarone modeling, are important parameters to consider.
引用
收藏
页码:615 / 621
页数:7
相关论文
共 50 条
  • [1] Importance of in vitro conditions for modeling the in vivo dose in humans by in vitro–in vivo extrapolation (IVIVE)
    Engi Abdel Hady Algharably
    Reinhold Kreutz
    Ursula Gundert-Remy
    Archives of Toxicology, 2019, 93 : 615 - 621
  • [2] The importance of protein binding for the in vitro-in vivo extrapolation (IVIVE)-example of ibuprofen, a highly protein-bound substance
    Mielke, H.
    Di Consiglio, E.
    Kreutz, R.
    Partosch, F.
    Testai, E.
    Gundert-Remy, U.
    ARCHIVES OF TOXICOLOGY, 2017, 91 (04) : 1663 - 1670
  • [3] In vitro-in vivo extrapolation (IVIVE) for predicting human intestinal absorption and first-pass elimination of drugs: principles and applications
    Cho, Hyun-Jong
    Kim, Ji-Eon
    Kim, Dae-Duk
    Yoon, In-Soo
    DRUG DEVELOPMENT AND INDUSTRIAL PHARMACY, 2014, 40 (08) : 989 - 998
  • [4] Drug Design and Success of Prospective Mouse In Vitro-In Vivo Extrapolation (IVIVE) for Predictions of Plasma Clearance (CLp) from Hepatocyte Intrinsic Clearance (CLint)
    Manevski, Nenad
    Umehara, Kenichi
    Parrott, Neil
    MOLECULAR PHARMACEUTICS, 2023, 20 (07) : 3438 - 3459
  • [5] In Vitro-In Vivo Extrapolation by Physiologically Based Kinetic Modeling: Experience With Three Case Studies and Lessons Learned
    Algharably, Engi Abdelhady
    Di Consiglio, Emma
    Testai, Emanuela
    Pistollato, Francesca
    Mielke, Hans
    Gundert-Remy, Ursula
    FRONTIERS IN TOXICOLOGY, 2022, 4
  • [6] Prediction of the dose range for adverse neurological effects of amiodarone in patients from an in vitro toxicity test by in vitro-in vivo extrapolation
    Algharably, Engi Abd el-Hady
    Di Consiglio, Emma
    Testai, Emanuela
    Kreutz, Reinhold
    Gundert-Remy, Ursula
    ARCHIVES OF TOXICOLOGY, 2021, 95 (04) : 1433 - 1442
  • [7] Toward a New Paradigm for the Efficient In Vitro-In Vivo Extrapolation of Metabolic Clearance in Humans from Hepatocyte Data
    Poulin, Patrick
    Haddad, Sami
    JOURNAL OF PHARMACEUTICAL SCIENCES, 2013, 102 (09) : 3239 - 3251
  • [8] Investigating the Theoretical Basis for In Vitro-In Vivo Extrapolation (IVIVE) in Predicting Drug Metabolic Clearance and Proposing Future Experimental Pathways
    Benet, Leslie Z.
    Sodhi, Jasleen K.
    AAPS JOURNAL, 2020, 22 (05)
  • [9] In Vitro-In Vivo Extrapolation Method to Predict Human Renal Clearance of Drugs
    Kunze, Annett
    Huwyler, Joerg
    Poller, Birk
    Gutmann, Heike
    Camenisch, Gian
    JOURNAL OF PHARMACEUTICAL SCIENCES, 2014, 103 (03) : 994 - 1001
  • [10] A Model Mechanism-Based Explanation of an In Vitro-In Vivo Disconnect for Improving Extrapolation and Translation
    Smith, Andrew K.
    Xu, Yanli
    Ropella, Glen E. P.
    Hunt, C. Anthony
    JOURNAL OF PHARMACOLOGY AND EXPERIMENTAL THERAPEUTICS, 2018, 365 (01) : 127 - 138