Literature DB >> 30385282

Physiologically Based Pharmacokinetic Modeling of Nanoparticles.

Dongfen Yuan1, Hua He2, Yun Wu3, Jianghong Fan4, Yanguang Cao5.   

Abstract

Nanoparticles are frequently designed to improve the pharmacokinetics profiles and tissue distribution of small molecules to prolong their systemic circulation, target specific tissue, or widen the therapeutic window. The multifunctionality of nanoparticles is frequently presented as an advantage but also results in distinct and complicated in vivo disposition properties compared with a conventional formulation of the same molecules. Physiologically based pharmacokinetic (PBPK) modeling has been a useful tool in characterizing and predicting the systemic disposition, target exposure, and efficacy and toxicity of various types of drugs when coupled with pharmacodynamic modeling. Here we review the unique disposition characteristics of nanoparticles, assess how PBPK modeling takes into account the unique disposition properties of nanoparticles, and comment on the applications and challenges of PBPK modeling in characterizing and predicting the disposition and biological effects of nanoparticles.
Copyright © 2019 American Pharmacists Association®. All rights reserved.

Entities:  

Keywords:  PBPK; efficacy; mononuclear phagocytic system; nanoparticle disposition; tissue distribution; toxicity

Mesh:

Year:  2018        PMID: 30385282      PMCID: PMC6311421          DOI: 10.1016/j.xphs.2018.10.037

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  27 in total

Review 1.  Pharmacokinetic and Pharmacodynamic Properties of Drug Delivery Systems.

Authors:  Patrick M Glassman; Vladimir R Muzykantov
Journal:  J Pharmacol Exp Ther       Date:  2019-03-05       Impact factor: 4.030

2.  Polymeric Nanoparticles Controlled by On-Chip Self-Assembly Enhance Cancer Treatment Effectiveness.

Authors:  Sungjin Jung; Junseok Lee; Junha Lim; Jeeyeon Suh; Taeyoung Kim; Jungho Ahn; Won Jong Kim; YongTae Kim
Journal:  Adv Healthc Mater       Date:  2020-10-18       Impact factor: 9.933

3.  A New Pharmacokinetic Model Describing the Biodistribution of Intravenously and Intratumorally Administered Superparamagnetic Iron Oxide Nanoparticles (SPIONs) in a GL261 Xenograft Glioblastoma Model.

Authors:  Alexander P Klapproth; Maxim Shevtsov; Stefan Stangl; Wei Bo Li; Gabriele Multhoff
Journal:  Int J Nanomedicine       Date:  2020-06-30

4.  Establishing the Pharmacokinetics of Genetic Vaccines is Essential for Maximising their Safety and Efficacy.

Authors:  Imad Naasani
Journal:  Clin Pharmacokinet       Date:  2022-07-12       Impact factor: 5.577

5.  Predicting Nanoparticle Delivery to Tumors Using Machine Learning and Artificial Intelligence Approaches.

Authors:  Zhoumeng Lin; Wei-Chun Chou; Yi-Hsien Cheng; Chunla He; Nancy A Monteiro-Riviere; Jim E Riviere
Journal:  Int J Nanomedicine       Date:  2022-03-24

Review 6.  In vitro dissolution considerations associated with nano drug delivery systems.

Authors:  Ritu Gupta; Yuan Chen; Huan Xie
Journal:  Wiley Interdiscip Rev Nanomed Nanobiotechnol       Date:  2021-06-15

Review 7.  Current Approaches and Techniques in Physiologically Based Pharmacokinetic (PBPK) Modelling of Nanomaterials.

Authors:  Wells Utembe; Harvey Clewell; Natasha Sanabria; Philip Doganis; Mary Gulumian
Journal:  Nanomaterials (Basel)       Date:  2020-06-29       Impact factor: 5.076

8.  Meta-Analysis of Nanoparticle Delivery to Tumors Using a Physiologically Based Pharmacokinetic Modeling and Simulation Approach.

Authors:  Yi-Hsien Cheng; Chunla He; Jim E Riviere; Nancy A Monteiro-Riviere; Zhoumeng Lin
Journal:  ACS Nano       Date:  2020-03-04       Impact factor: 15.881

Review 9.  Practices and Trends of Machine Learning Application in Nanotoxicology.

Authors:  Irini Furxhi; Finbarr Murphy; Martin Mullins; Athanasios Arvanitis; Craig A Poland
Journal:  Nanomaterials (Basel)       Date:  2020-01-08       Impact factor: 5.076

Review 10.  Silver Nanoparticles for the Therapy of Tuberculosis.

Authors:  Alexandru-Flaviu Tăbăran; Cristian Tudor Matea; Teodora Mocan; Alexandra Tăbăran; Marian Mihaiu; Cornel Iancu; Lucian Mocan
Journal:  Int J Nanomedicine       Date:  2020-03-31
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.