A physiologically based pharmacokinetic model to predict the superparamagnetic iron oxide nanoparticles (SPIONs) accumulation in vivo



Silva, Adny Henrique, Lima, Enio Jr, Mansilla, Marcelo Vasquez, Zysler, Roberto Daniel, Mojica Pisciotti, Mary Luz, Locatelli, Claudriana, Rajoli, Rajith Kumar Reddy ORCID: 0000-0002-6015-5712, Owen, Andrew ORCID: 0000-0002-9819-7651, Creczynski-Pasa, Tania Beatriz and Siccardi, Marco ORCID: 0000-0002-3539-7867
(2017) A physiologically based pharmacokinetic model to predict the superparamagnetic iron oxide nanoparticles (SPIONs) accumulation in vivo. EUROPEAN JOURNAL OF NANOMEDICINE, 9 (2). pp. 79-90.

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Abstract

<jats:title>Abstract</jats:title><jats:p>Superparamagnetic iron oxide nanoparticles (SPIONs) have been identified as a promising material for biomedical applications. These include as contrast agents for medical imaging, drug delivery and/or cancer cell treatment. The nanotoxicological profile of SPIONs has been investigated in different studies and the distribution of SPIONs in the human body has not been fully characterized. The aim of this study was to develop a physiologically-based pharmacokinetic (PBPK) model to predict the pharmacokinetics of SPIONs. The distribution and accumulation of SPIONs in organs were simulated taking into consideration their penetration through capillary walls and their active uptake by specialized macrophages in the liver, spleen and lungs. To estimate the kinetics of SPION uptake, a novel experimental approach using primary macrophages was developed. The murine PBPK model was validated against in vivo pharmacokinetic data, and accurately described accumulation in liver, spleen and lungs. After validation of the murine model, a similar PBPK approach was developed to simulate the distribution of SPIONs in humans. These data demonstrate the utility of PBPK modeling for estimating biodistribution of inorganic nanoparticles and represents an initial platform to provide computational prediction of nanoparticle pharmacokinetics.</jats:p>

Item Type: Article
Uncontrolled Keywords: accumulation, biodistribution, nanoparticles, physiologically based pharmacokinetic model, prediction
Depositing User: Symplectic Admin
Date Deposited: 31 Jan 2018 16:09
Last Modified: 19 Jan 2023 06:42
DOI: 10.1515/ejnm-2017-0001
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3017225