Optimization of superfluorinated PLGA nanoparticles for enhanced cell labelling and detection by F-MRI.

Cristina Chirizzi, Lodovico Gatti, María Sancho-Albero, Victor Sebastian, Manuel Arruebo, Laura Uson, Giulia Neri, Jesus Santamaria, Pierangelo Metrangolo, Linda Chaabane, Francesca Baldelli Bombelli

Journal: Colloids and surfaces. B, Biointerfaces 2022;220():112932

PMID: 36272281

Full Text on Elsevier Science View on PubMed

Abstract

Fluorine-19 (F) Magnetic Resonance Imaging (MRI) is an emergent imaging technique for molecular imaging and cell tracking. Lack of intrinsic F signals in tissues allows unambiguous in vivo detection of exogenous fluorinated probes, complementary to the anatomical and multiparametric information obtained by standard H-MRI. However, the intrinsic low sensitivity of MRI technique requires the need of designing increasingly effective fluorinated tracers. PERFECTA, with its 36 magnetically equivalent F atoms and a designed branched molecular structure, represents an excellent superfluorinated tracer. In this paper, we report the development of PERFECTA loaded PLGA NPs stabilized by different coatings as promising F-MRI probes. The results clearly show the optimal cellular uptake of the produced colloidally stable PERFECTA loaded PLGA NPs without impact on cells viability. Importantly, NPs stabilization with the anionic surfactant sodium cholate (NaC) clearly enhances NPs internalization within cells with respect to PVA-coated NPs. Moreover, the optimized NPs are characterized by shorter T relaxation times with respect to other PERFECTA formulations that would allow the increase of F-MRI sensitivity with fast imaging acquisitions.

Address: Department of Chemistry, Materials and Chemical Engineering "Giulio Natta", Politecnico di Milano, Milano 20131, Italy.; Department of Chemistry, Materials and Chemical Engineering "Giulio Natta", Politecnico di Milano, Milano 20131, Italy; Institute of Experimental Neurology (INSpe) and Experimental Imaging Center (CIS), IRCCS San Raffaele Scientific Institute, Milano 20132, Italy.; Instituto de Nanociencia y Materiales de Aragón (INMA), CSIC-Universidad de Zaragoza, Zaragoza, Spain; Department of Chemical Engineering and Environmental Technologies, University of Zaragoza, Zaragoza, Spain; Networking Research Center on Bioengineering Biomaterials and Nanomedicine (CIBER-BBN), Madrid, Spain.; Instituto de Nanociencia y Materiales de Aragón (INMA), CSIC-Universidad de Zaragoza, Zaragoza, Spain; Department of Chemical Engineering and Environmental Technologies, University of Zaragoza, Zaragoza, Spain; Networking Research Center on Bioengineering Biomaterials and Nanomedicine (CIBER-BBN), Madrid, Spain. Electronic address: [email protected].; Institute of Experimental Neurology (INSpe) and Experimental Imaging Center (CIS), IRCCS San Raffaele Scientific Institute, Milano 20132, Italy.; Department of Chemistry, Materials and Chemical Engineering "Giulio Natta", Politecnico di Milano, Milano 20131, Italy. Electronic address: [email protected].

DOI: 10.1016/j.colsurfb.2022.112932

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MeSH Terms: Nanoparticles, Magnetic Resonance Imaging, Cell Tracking, Cell Survival, Molecular Structure