Application of physiologically based pharmacokinetic models for therapeutic proteins and other novel modalities

被引:4
作者
Rose, Rachel H. H. [1 ,2 ]
Sepp, Armin [1 ]
Stader, Felix [1 ]
Gill, Katherine L. L. [1 ]
Liu, Cong [1 ]
Gardner, Iain [1 ]
机构
[1] Certara UK Ltd, Simcyp Div, Sheffield, England
[2] Certara UK Ltd, Simcyp Div, Level 2-Acero,1 Concourse Way, Sheffield S1 2BJ, England
关键词
Physiologically based pharmacokinetic model; therapeutic protein; gene therapy; CAR-T; antibody drug conjugate; oligonucleotide; MONOCLONAL-ANTIBODY PHARMACOKINETICS; CATENARY PBPK MODEL; ANTISENSE OLIGONUCLEOTIDES; CLINICAL PHARMACOKINETICS; MEDIATED DELIVERY; SIZE-SELECTIVITY; DISPOSITION; RECEPTOR; BINDING; PREDICT;
D O I
10.1080/00498254.2022.2133649
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
The past two decades have seen diversification of drug development pipelines and approvals from traditional small molecule therapies to alternative modalities including monoclonal antibodies, engineered proteins, antibody drug conjugates (ADCs), oligonucleotides and gene therapies. At the same time, physiologically based pharmacokinetic (PBPK) models for small molecules have seen increased industry and regulatory acceptance.This review focusses on the current status of the application of PBPK models to these newer modalities and give a perspective on the successes, challenges and future directions of this field.There is greatest experience in the development of PBPK models for therapeutic proteins, and PBPK models for ADCs benefit from prior experience for both therapeutic proteins and small molecules. For other modalities, the application of PBPK models is in its infancy.Challenges are discussed and a common theme is lack of availability of physiological and experimental data to characterise systems and drug parameters to enable a priori prediction of pharmacokinetics. Furthermore, sufficient clinical data are required to build confidence in developed models.The PBPK modelling approach provides a quantitative framework for integrating knowledge and data from multiple sources and can be built on as more data becomes available.
引用
收藏
页码:840 / 854
页数:15
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共 140 条
  • [1] Impact of Serum Proteins on the Uptake and RNA Interference Activity of N-Acetylgalactosamine-Conjugated Small Interfering RNAs
    Agarwal, Saket
    Allard, Ruth
    Darcy, Justin
    Chigas, Samantha
    Gu, Yongli
    Nguyen, Tuyen
    Bond, Sarah
    Chong, Saeho
    Wu, Jing-Tao
    Janas, Maja M.
    [J]. NUCLEIC ACID THERAPEUTICS, 2021, 31 (04) : 309 - 315
  • [2] Minimal Physiologically Based Pharmacokinetic-Pharmacodynamic (mPBPK-PD) Model of N-Acetylgalactosamine-Conjugated Small Interfering RNA Disposition and Gene Silencing in Preclinical Species and Humans
    Ayyar, Vivaswath S.
    Song, Dawei
    Zheng, Songmao
    Carpenter, Thomas
    Heald, Donald L.
    [J]. JOURNAL OF PHARMACOLOGY AND EXPERIMENTAL THERAPEUTICS, 2021, 379 (02) : 134 - 146
  • [3] Pharmacokinetics and Disposition of Heparin-Binding Growth Factor Midkine Antisense Oligonucleotide Nanoliposomes in Experimental Animal Species and Prediction of Human Pharmacokinetics Using a Physiologically Based Pharmacokinetic Model
    Bai, Haihong
    Cheng, Yuanguo
    Che, Jinjing
    [J]. FRONTIERS IN PHARMACOLOGY, 2021, 12
  • [4] Physiologically Based Pharmacokinetic Modeling of Monoclonal Antibodies in Pediatric Populations Using PK-Sim
    Basu, Sumit
    Lien, Yi Ting
    Vozmediano, Valvanera
    Schlender, Jan-Frederik
    Eissing, Thomas
    Schmidt, Stephan
    Niederalt, Christoph
    [J]. FRONTIERS IN PHARMACOLOGY, 2020, 11
  • [5] Opportunities and challenges for applying model-informed drug development approaches to gene therapies
    Belov, Artur
    Schultz, Kimberly
    Forshee, Richard
    Tegenge, Million A.
    [J]. CPT-PHARMACOMETRICS & SYSTEMS PHARMACOLOGY, 2021, 10 (04): : 286 - 290
  • [6] A Mechanistic Pharmacokinetic Model Elucidating the Disposition of Trastuzumab Emtansine (T-DM1), an Antibody-Drug Conjugate (ADC) for Treatment of Metastatic Breast Cancer
    Bender, Brendan
    Leipold, Douglas D.
    Xu, Keyang
    Shen, Ben-Quan
    Tibbitts, Jay
    Friberg, Lena E.
    [J]. AAPS JOURNAL, 2014, 16 (05): : 994 - 1008
  • [7] Mathematical models of RNA silencing: Unidirectional amplification limits accidental self-directed reactions
    Bergstrom, CT
    McKittrick, E
    Antia, R
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2003, 100 (20) : 11511 - 11516
  • [8] Linear pharmacokinetic parameters for monoclonal antibodies are similar within a species and across different pharmacological targets: A comparison between human, cynomolgus monkey and hFcRn Tg32 transgenic mouse using a population-modeling approach
    Betts, Alison
    Keunecke, Anne
    van Steeg, Tamara J.
    van der Graaf, Piet H.
    Avery, Lindsay B.
    Jones, Hannah
    Berkhout, Jan
    [J]. MABS, 2018, 10 (05) : 751 - 764
  • [9] Minimal brain PBPK model to support the preclinical and clinical development of antibody therapeutics for CNS diseases
    Bloomingdale, Peter
    Bakshi, Suruchi
    Maass, Christian
    van Maanen, Eline
    Pichardo-Almarza, Cesar
    Yadav, Daniela Bumbaca
    van der Graaf, Piet
    Mehrotra, Nitin
    [J]. JOURNAL OF PHARMACOKINETICS AND PHARMACODYNAMICS, 2021, 48 (06) : 861 - 871
  • [10] Physiochemical and Biochemical Factors Influencing the Pharmacokinetics of Antibody Therapeutics
    Bumbaca, Daniela
    Boswell, C. Andrew
    Fielder, Paul J.
    Khawli, Leslie A.
    [J]. AAPS JOURNAL, 2012, 14 (03): : 554 - 558