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Physiologically Based Pharmacokinetic (PBPK) Modeling of Pharmaceutical Nanoparticles.

作者信息

Li Min, Zou Peng, Tyner Katherine, Lee Sau

机构信息

Office of Pharmaceutical Quality, US Food and Drug Administration, Silver Spring, Maryland, USA.

Office of Clinical Pharmacology, US Food and Drug Administration, Silver Spring, Maryland, USA.

出版信息

AAPS J. 2017 Jan;19(1):26-42. doi: 10.1208/s12248-016-0010-3. Epub 2016 Nov 10.


DOI:10.1208/s12248-016-0010-3
PMID:27834047
Abstract

With the great interests in the discovery and development of drug products containing nanoparticles, there is a great demand of quantitative tools for assessing quality, safety, and efficacy of these products. Physiologically based pharmacokinetic (PBPK) modeling and simulation approaches provide excellent tools for describing and predicting in vivo absorption, distribution, metabolism, and excretion (ADME) of nanoparticles administered through various routes. PBPK modeling of nanoparticles is an emerging field, and more than 20 PBPK models of nanoparticles used in pharmaceutical products have been published in the past decade. This review provides an overview of the ADME characteristics of nanoparticles and how these ADME processes are described in PBPK models. Recent advances in PBPK modeling of pharmaceutical nanoparticles are summarized. The major challenges in model development and validation and possible solutions are also discussed.

摘要

相似文献

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[2]
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[3]
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[5]
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[6]
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[7]
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本文引用的文献

[1]
A computational framework for interspecies pharmacokinetics, exposure and toxicity assessment of gold nanoparticles.

Nanomedicine (Lond). 2015-12-11

[2]
Targeted PRINT Hydrogels: The Role of Nanoparticle Size and Ligand Density on Cell Association, Biodistribution, and Tumor Accumulation.

Nano Lett. 2015-10-14

[3]
Principles of nanoparticle design for overcoming biological barriers to drug delivery.

Nat Biotechnol. 2015-9

[4]
A Tutorial on Target-Mediated Drug Disposition (TMDD) Models.

CPT Pharmacometrics Syst Pharmacol. 2015-6

[5]
Physiologically Based Pharmacokinetic Modeling of Fluorescently Labeled Block Copolymer Nanoparticles for Controlled Drug Delivery in Leukemia Therapy.

CPT Pharmacometrics Syst Pharmacol. 2015-3

[6]
Bayesian evaluation of a physiologically-based pharmacokinetic (PBPK) model of long-term kinetics of metal nanoparticles in rats.

Regul Toxicol Pharmacol. 2015-10

[7]
Translocation of gold nanoparticles across the lung epithelial tissue barrier: Combining in vitro and in silico methods to substitute in vivo experiments.

Part Fibre Toxicol. 2015-6-27

[8]
A physiologically based pharmacokinetic model for polyethylene glycol-coated gold nanoparticles of different sizes in adult mice.

Nanotoxicology. 2016

[9]
Elucidating the in vivo fate of nanocrystals using a physiologically based pharmacokinetic model: a case study with the anticancer agent SNX-2112.

Int J Nanomedicine. 2015-3-31

[10]
Physiologically Based Pharmacokinetic Modelling to Inform Development of Intramuscular Long-Acting Nanoformulations for HIV.

Clin Pharmacokinet. 2015-6

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