Influence of coating and size of magnetic nanoparticles on cellular uptake for in vitro MRI
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2021
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MDPI
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Abstract
Iron oxide nanoparticles (IONPs) are suitable materials for contrast enhancement in magnetic resonance imaging (MRI). Their potential clinical applications range from diagnosis to therapy and follow-up treatments. However, a deeper understanding of the interaction between IONPs, culture media and cells is necessary for expanding the application of this technology to different types of cancer therapies. To achieve new insights of these interactions, a set of IONPs were prepared with the same inorganic core and five distinct coatings, to study their aggregation and interactions in different physiological media, as well as their cell labelling efficiency. Then, a second set of IONPs, with six different core sizes and the same coating, were used to study how the core size affects cell labelling and MRI in vitro. Here, IONPs suspended in biological media experience a partial removal of the coating and adhesion of molecules. The FBS concentration alters the labelling of all types of IONPs and hydrodynamic sizes & GE; 300 nm provide the greatest labelling using the centrifugation-mediated internalization (CMI). The best contrast for MRI results requires a core size range between 12-14 nm coated with dimercaptosuccinic acid (DMSA) producing R_2^* values of 393.7 s_(-1) and 428.3 s_(-1), respectively. These findings will help to bring IONPs as negative contrast agents into clinical settings.
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©2021 by the authors. Licensee MDPI
This work was supported by Fondo de Investigaciones Sanitarias, FIS [PI17/01489] and the Miguel Servet Program [CP11/00147 and CPII16/00056] from Instituto de Salud Carlos III (AAS); RTC-2015-3846-1 (AAS) and RTC-2016-4990-1 (AAS) from Spanish Ministerio de Economia y Competitividad (MINECO)/FEDER funds. GS gratefully acknowledges projects PID2019-106301RB-I00 from Spanish Ministry of Science, Innovation and Universities and NANOMAGCOST-CM, P2018/NMT-4321 from Madrid Regional Government. BCL acknowledges MINECO (FPI program fellowship) from Spain. GFC thanks the funding from Ministerio de Ciencia e Innovacion, Spain (Grant Number PID2019-110895RB-I00). This research has also been supported by a grant awarded to GFC and JBB by the Junta de Comunidades de Castilla-La Mancha, Spain (Grant Number SBPLY/19/180501/000211). GFC and JBB also thank funding from project supported by the James S. Mc. Donnell Foundation 21st Century Science Initiative in Mathematical and Complex Systems Approaches for Brain Cancer (USA) [Collaborative Award 220020560].