MRI-visible polymer based on poly(methyl methacrylate) for imaging applications

Autor: John El Nakat, Xavier Garric, Cédric Paniagua, Youssef Bakkour, Jean Coudane, Mira Younis, Laurent Lemaire, Benjamin Nottelet, Vincent Darcos, Pauline Ronjat
Přispěvatelé: Institut des Biomolécules Max Mousseron [Pôle Chimie Balard] (IBMM), Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université de Montpellier (UM)-Ecole Nationale Supérieure de Chimie de Montpellier (ENSCM), University of Balamand - UOB (LIBAN), Micro et Nanomédecines Biomimétiques (MINT), Université d'Angers (UA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)
Rok vydání: 2016
Předmět:
Zdroj: RSC Advances
RSC Advances, Royal Society of Chemistry, 2016, 6 (7), pp.5754-60. ⟨10.1039/C5RA23646K⟩
ISSN: 2046-2069
DOI: 10.1039/c5ra23646k
Popis: International audience; Macromolecular contrast agents are very attractive to afford efficient magnetic resonance imaging (MRI) visualization of implantable medical devices. In this work, we report on the grafting of a Gd-based DTPA contrast agent onto a poly(methyl methacrylate) derivative backbone by combining free radical polymerization and copper-catalyzed azide-alkyne cycloaddition (CuAAC). Using free radical polymerization, poly(methyl methacrylate-co-propargyl methacrylate) copolymers were prepared with a control of the ratio in propargyl methacrylate monomer units. The synthesis of a new azido monofunctionalized DTPA ligand was also reported and characterized by 1H NMR and mass spectroscopy. After complexation with gadolinium, this ligand has been grafted on the polymer backbone by click chemistry reaction. The obtained macromolecular contrast agent was then coated on a polypropylene mesh using the airbrushing technique and the mesh was assessed for MRI visualization at 7 teslas. The polymeric contrast agent was also tested for cytocompatibility and stability to assess its suitability for biomedical applications.
Databáze: OpenAIRE