Physiologically Based Pharmacokinetic Model for Long-Circulating Inorganic Nanoparticles
Physiologically Based Pharmacokinetic Model for Long-Circulating Inorganic Nanoparticles
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DOI：
10.1021/acs.nanolett.5b03854
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发表时间：
2016-02-01
期刊：
影响因子：
10.8
通讯作者：
Roberts, Michael S.
中科院分区：
文献类型：
--
作者：
Liang, Xiaowen;Wang, Haolu;Roberts, Michael S.
开发了一种基于生理学的药代动力学模型，用于准确表征和预测长循环无机纳米颗粒（NP）的体内命运。该模型是建立在直接可视化的NP处置细节在器官和细胞水平。多个数据集进行了验证，表明强大的路线间和物种间的预测能力。我们认为，长循环无机纳米粒子的生物分布是由吞噬细胞在靶器官中的纳米粒子的吸收和释放。
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.