Literature DB >> 15656192

Cationic poly(lactide-co-glycolide) nanoparticles as efficient in vivo gene transfection agents.

M N V Ravi Kumar1, S S Mohapatra, X Kong, P K Jena, U Bakowsky, C M Lehr.   

Abstract

Poly(lactide-co-glycolide) (PLGA), a biocompatible and biodegradable polyester co-polymer of PLA and PGA, has been recognized for its ability to deliver genes. However, gene delivery by PLGA nanoparticles is limited by their negative charge and their poor transport through mucosal barriers. In this study, PLGA nanoparticles were surface modified with cationic chitosan in an effort to improve their gene delivery capability. PLGA nanoparticles were synthesized by emulsion-diffusion-evaporation technique using PVA-chitosan (PLGA1) or PVA-chitosan-PEG (PLGA2) blend as stabilizers. This method is reproducible and produces nanoparticles with hydrodynamic diameter <200 nm. The nanoparticles were characterized by zetasizer, photon correlation spectroscopy and atomic force microscopy. A549 epithelial cells were transfected in vitro with PLGA particles complexed with a reporter plasmid encoding green fluorescent protein. PLGA particles transferred EGFP gene, but were less efficient than the lipofectamine control. The nanoparticles were also tested for their ability to transport across the nasal mucosa in vivo in mice. The results show that both PLGA1 and PLGA2 facilitate gene delivery and expression in vivo with increased efficiency and without causing inflammation, as measured by IL-6. Together, these results indicate that chitosan-modified PLGA nanoparticles have greater potential as gene carriers.

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Year:  2004        PMID: 15656192     DOI: 10.1166/jnn.2004.130

Source DB:  PubMed          Journal:  J Nanosci Nanotechnol        ISSN: 1533-4880


  20 in total

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Review 9.  Nanostructured materials for applications in drug delivery and tissue engineering.

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10.  Nanoparticle-mediated expression of an angiogenic inhibitor ameliorates ischemia-induced retinal neovascularization and diabetes-induced retinal vascular leakage.

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Journal:  Diabetes       Date:  2009-06-02       Impact factor: 9.461

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