Literature DB >> 25961857

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

Zhoumeng Lin1, Nancy A Monteiro-Riviere2, Jim E Riviere1.   

Abstract

Nanoparticles (NPs) are widely used in various fields of nanomedicine. A systematic understanding of NP pharmacokinetics is crucial in their design, applications, and risk assessment. In order to integrate available experimental information and to gain insights into NP pharmacokinetics, a membrane-limited physiologically based pharmacokinetic (PBPK) model for polyethylene glycol-coated gold (Au) NPs (PEG-coated AuNPs) was developed in mice. The model described endocytosis of the NPs in the liver, spleen, kidneys, and lungs and was calibrated using data from mice that were intravenously injected with 0.85 mg/kg 13 nm and 100 nm PEG-coated AuNPs. The model adequately predicted multiple external datasets for PEG-coated AuNPs of similar sizes (13-20 nm; 80-100 nm), indicating reliable predictive capability in suitable size ranges. Simulation results suggest that endocytosis of NPs is time and size dependent, i.e. endocytosis of larger NPs occurs immediately and predominately from the blood, whereas smaller NPs can diffuse through the capillary wall and their endocytosis appears mainly from the tissue with a 10-h delay, which may be the primary mechanism responsible for the reported size-dependent pharmacokinetics of NPs. Several physiological parameters (e.g. liver weight fraction of body weight) were identified to have a high influence on selected key dose metrics, indicating the need for additional interspecies comparison and scaling studies and to conduct pharmacokinetic studies of NPs in species that are more closely related to humans in these parameters. This PBPK model provides useful insights into the size, time, and species dependence of NP pharmacokinetics.

Entities:  

Keywords:  Biodistribution; PBPK modeling; endocytosis; gold nanoparticles; pharmacokinetics

Mesh:

Substances:

Year:  2015        PMID: 25961857     DOI: 10.3109/17435390.2015.1027314

Source DB:  PubMed          Journal:  Nanotoxicology        ISSN: 1743-5390            Impact factor:   5.913


  21 in total

1.  Probabilistic risk assessment of gold nanoparticles after intravenous administration by integrating in vitro and in vivo toxicity with physiologically based pharmacokinetic modeling.

Authors:  Yi-Hsien Cheng; Jim E Riviere; Nancy A Monteiro-Riviere; Zhoumeng Lin
Journal:  Nanotoxicology       Date:  2018-04-14       Impact factor: 5.913

Review 2.  Physiologically Based Pharmacokinetic (PBPK) Modeling of Pharmaceutical Nanoparticles.

Authors:  Min Li; Peng Zou; Katherine Tyner; Sau Lee
Journal:  AAPS J       Date:  2016-11-10       Impact factor: 4.009

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Authors:  Shreya Goel; Carolina A Ferreira; Prashant Dogra; Bo Yu; Christopher J Kutyreff; Cerise M Siamof; Jonathan W Engle; Todd E Barnhart; Vittorio Cristini; Zhihui Wang; Weibo Cai
Journal:  Small       Date:  2019-09-29       Impact factor: 13.281

Review 4.  Physiological parameter values for physiologically based pharmacokinetic models in food-producing animals. Part I: Cattle and swine.

Authors:  Zhoumeng Lin; Miao Li; Yu-Shin Wang; Lisa A Tell; Ronald E Baynes; Jennifer L Davis; Thomas W Vickroy; Jim E Riviere
Journal:  J Vet Pharmacol Ther       Date:  2020-04-08       Impact factor: 1.786

5.  Translating Nanomedicine to Comparative Oncology-the Case for Combining Zinc Oxide Nanomaterials with Nucleic Acid Therapeutic and Protein Delivery for Treating Metastatic Cancer.

Authors:  R K DeLong; Yi-Hsien Cheng; Paige Pearson; Zhoumeng Lin; Calli Coffee; Elza Neelima Mathew; Amanda Hoffman; Raelene M Wouda; Mary Lynn Higginbotham
Journal:  J Pharmacol Exp Ther       Date:  2019-04-30       Impact factor: 4.030

6.  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

7.  Simulation of the In Vivo Fate of Polymeric Nanoparticles Traced by Environment-Responsive Near-Infrared Dye: A Physiologically Based Pharmacokinetic Modelling Approach.

Authors:  Lei Li; Haisheng He; Sifang Jiang; Jianping Qi; Yi Lu; Ning Ding; Hai-Shu Lin; Wei Wu; Xiaoqiang Xiang
Journal:  Molecules       Date:  2021-02-26       Impact factor: 4.411

8.  A physiologically based kinetic model for elucidating the in vivo distribution of administered mesenchymal stem cells.

Authors:  Haolu Wang; Xiaowen Liang; Zhi Ping Xu; Darrell H G Crawford; Xin Liu; Michael S Roberts
Journal:  Sci Rep       Date:  2016-02-29       Impact factor: 4.379

9.  Toward a general physiologically-based pharmacokinetic model for intravenously injected nanoparticles.

Authors:  Ulrika Carlander; Dingsheng Li; Olivier Jolliet; Claude Emond; Gunnar Johanson
Journal:  Int J Nanomedicine       Date:  2016-02-11

10.  Physiologically based pharmacokinetic modeling of nanoceria systemic distribution in rats suggests dose- and route-dependent biokinetics.

Authors:  Ulrika Carlander; Tshepo Paulsen Moto; Anteneh Assefa Desalegn; Robert A Yokel; Gunnar Johanson
Journal:  Int J Nanomedicine       Date:  2018-05-01
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