PBPK modeling and simulation in drug research and development

被引:0
|
作者
Xiaomei Zhuang [1 ]
Chuang Lu [2 ]
机构
[1] State Key Laboratory of Toxicology and Medical Countermeasures,Beijing Institute of Pharmacology and Toxicology
[2] Department of DMPK,Biogen,Inc.
关键词
PBPK; PK prediction; Absorption; Metabolism; Drug–drug interaction; Special population;
D O I
暂无
中图分类号
R96 [药理学];
学科分类号
100602 ; 100706 ;
摘要
Physiologically based pharmacokinetic(PBPK) modeling and simulation can be used to predict the pharmacokinetic behavior of drugs in humans using preclinical data.It can also explore the effects of various physiologic parameters such as age,ethnicity,or disease status on human pharmacokinetics,as well as guide dose and dose regiment selection and aid drug–drug interaction risk assessment.PBPK modeling has developed rapidly in the last decade within both the field of academia and the pharmaceutical industry,and has become an integral tool in drug discovery and development.In this mini-review,the concept and methodology of PBPK modeling are briefly introduced.Several case studies were discussed on how PBPK modeling and simulation can be utilized through various stages of drug discovery and development.These case studies are from our own work and the literature for better understanding of the absorption,distribution,metabolism and excretion(ADME) of a drug candidate,and the applications to increase efficiency,reduce the need for animal studies,and perhaps to replace clinical trials.The regulatory acceptance and industrial practices around PBPK modeling and simulation is also discussed.
引用
收藏
页码:430 / 440
页数:11
相关论文
共 50 条
  • [41] Use of Physiologically Based Pharmacokinetic (PBPK) Modeling for Predicting Drug-Food Interactions: an Industry Perspective
    Arian Emami Riedmaier
    Kevin DeMent
    James Huckle
    Phil Bransford
    Cordula Stillhart
    Richard Lloyd
    Ravindra Alluri
    Sumit Basu
    Yuan Chen
    Varsha Dhamankar
    Stephanie Dodd
    Priyanka Kulkarni
    Andrés Olivares-Morales
    Chi-Chi Peng
    Xavier Pepin
    Xiaojun Ren
    Thuy Tran
    Christophe Tistaert
    Tycho Heimbach
    Filippos Kesisoglou
    Christian Wagner
    Neil Parrott
    The AAPS Journal, 22
  • [42] Use of Physiologically Based Pharmacokinetic (PBPK) Modeling for Predicting Drug-Food Interactions: an Industry Perspective
    Riedmaier, Arian Emami
    DeMent, Kevin
    Huckle, James
    Bransford, Phil
    Stillhart, Cordula
    Lloyd, Richard
    Alluri, Ravindra
    Basu, Sumit
    Chen, Yuan
    Dhamankar, Varsha
    Dodd, Stephanie
    Kulkarni, Priyanka
    Olivares-Morales, Andres
    Peng, Chi-Chi
    Pepin, Xavier
    Ren, Xiaojun
    Thuy Tran
    Tistaert, Christophe
    Heimbach, Tycho
    Kesisoglou, Filippos
    Wagner, Christian
    Parrott, Neil
    AAPS JOURNAL, 2020, 22 (06)
  • [43] In silico prediction of bioequivalence of Isosorbide Mononitrate tablets with different dissolution profiles using PBPK modeling and simulation
    Zhang, Fan
    Zhou, Yinping
    Wu, Ni
    Jia, Ranran
    Liu, Aijing
    Liu, Bo
    Zhou, Zhou
    Hu, Haitang
    Han, Zhihui
    Ye, Xiang
    Ding, Ying
    He, Qing
    Wang, Hongyun
    EUROPEAN JOURNAL OF PHARMACEUTICAL SCIENCES, 2021, 157
  • [44] PBPK modeling of complex hydrocarbon mixtures: gasoline
    Dennison, JE
    Andersen, ME
    Dobrev, ID
    Mumtaz, MM
    Yang, RSH
    ENVIRONMENTAL TOXICOLOGY AND PHARMACOLOGY, 2004, 16 (1-2) : 107 - 119
  • [45] Development of PBPK model of molinate and molinate sulfoxide in rats and humans
    Campbell, Andrew
    REGULATORY TOXICOLOGY AND PHARMACOLOGY, 2009, 53 (03) : 195 - 204
  • [46] Tissue chips to aid drug development and modeling for rare diseases
    Low, Lucie A.
    Tagle, Danilo A.
    EXPERT OPINION ON ORPHAN DRUGS, 2016, 4 (11): : 1113 - 1121
  • [47] PBPK modeling of irbesartan: incorporation of hepatic uptake
    Chapy, Helene
    Klieber, Sylvie
    Brun, Priscilla
    Gerbal-Chaloin, Sabine
    Boulenc, Xavier
    Nicolas, Olivier
    BIOPHARMACEUTICS & DRUG DISPOSITION, 2015, 36 (08) : 491 - 506
  • [48] Development of PK- and PBPK-based modeling tools for derivation of biomonitoring guidance values
    Bartels, M.
    Rick, D.
    Lowe, E.
    Loizou, G.
    Price, P.
    Spendiff, M.
    Arnold, S.
    Cocker, J.
    Ball, N.
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2012, 108 (02) : 773 - 788
  • [49] Reviewing Data Integrated for PBPK Model Development to Predict Metabolic Drug-Drug Interactions: Shifting Perspectives and Emerging Trends
    Abouir, Kenza
    Samer, Caroline F.
    Gloor, Yvonne
    Desmeules, Jules A.
    Daali, Youssef
    FRONTIERS IN PHARMACOLOGY, 2021, 12
  • [50] PBPK modeling of CYP3A and P-gp substrates to predict drug-drug interactions in patients undergoing Roux-en-Y gastric bypass surgery
    Chen, Kuan-Fu
    Chan, Lingtak-Neander
    Lin, Yvonne S.
    JOURNAL OF PHARMACOKINETICS AND PHARMACODYNAMICS, 2020, 47 (05) : 493 - 512