Physiologically Based Pharmacokinetic Model for Long-Circulating Inorganic Nanoparticles

Nano Letters
Xiaowen LiangMichael S Roberts

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.

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Citations

Jan 10, 2018·Chemical Record : an Official Publication of the Chemical Society of Japan ... [et Al.]·E CarazoC Viseras
Jun 18, 2016·Journal of Biophotonics·Haolu WangMichael S Roberts
Sep 21, 2018·Journal of Materials Chemistry. B, Materials for Biology and Medicine·Xiaoxiao ShiZhigang Xu
Nov 16, 2017·Current Protocols in Stem Cell Biology·Haolu WangMichael S Roberts
Nov 20, 2016·Wiley Interdisciplinary Reviews. Nanomedicine and Nanobiotechnology·Ran Chen, Jim E Riviere
Sep 18, 2020·Advances in Colloid and Interface Science·Aoxue ZhangShuyu Xie
Nov 15, 2020·European Journal of Pharmaceutical Sciences : Official Journal of the European Federation for Pharmaceutical Sciences·Elnaz YaghiniOscar Della Pasqua

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