Physiologically based pharmacokinetic model for long-circulating inorganic nanoparticles

Liang, Xiaowen, Wang, Haolu, Grice, Jeffrey E., Li, Li, Liu, Xin, Xu, Zhi Ping and Roberts, Michael S. (2016) Physiologically based pharmacokinetic model for long-circulating inorganic nanoparticles. Nano Letters, 16 2: 939-945. doi:10.1021/acs.nanolett.5b03854


Author Liang, Xiaowen
Wang, Haolu
Grice, Jeffrey E.
Li, Li
Liu, Xin
Xu, Zhi Ping
Roberts, Michael S.
Title Physiologically based pharmacokinetic model for long-circulating inorganic nanoparticles
Journal name Nano Letters   Check publisher's open access policy
ISSN 1530-6992
1530-6984
Publication date 2016-02-10
Sub-type Article (original research)
DOI 10.1021/acs.nanolett.5b03854
Open Access Status Not Open Access
Volume 16
Issue 2
Start page 939
End page 945
Total pages 7
Place of publication Washington, DC, United States
Publisher American Chemical Society
Collection year 2017
Language eng
Formatted abstract
A physiologically based pharmacokinetic model was developed for accurately characterizing and predicting the in vivo fate of long-circulating inorganic nanoparticles (NPs). This model is built based on direct visualization of NP disposition details at the organ and cellular level. It was validated with multiple data sets, indicating robust inter-route and interspecies predictive capability. We suggest that the biodistribution of long-circulating inorganic NPs is determined by the uptake and release of NPs by phagocytic cells in target organs.
Keyword Biodistribution
Inorganic nanoparticles
Long-circulating
Physiologically-based pharmacokinetic model
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

 
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