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Erschienen in: Journal of Nanoparticle Research 11/2013

01.11.2013 | Research Paper

Phenylalanine-coupled solid lipid nanoparticles for brain tumor targeting

verfasst von: Parul Kharya, Ashish Jain, Arvind Gulbake, Satish Shilpi, Ankit Jain, Pooja Hurkat, Subrata Majumdar, Sanjay K. Jain

Erschienen in: Journal of Nanoparticle Research | Ausgabe 11/2013

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Abstract

The purpose of this study is to investigate the targeting potential of amino acid (phenylalanine)-coupled solid lipid nanoparticles (SLN) loaded with ionically complexed doxorubicin HCl (Dox). Ionic complexation was used to enhance the loading efficiency and release characteristics of water soluble form of Dox. l-Type amino acid transporters (LAT1) are highly expressed on blood brain barrier as well as on many brain cancer cells, thus targeting LAT1 using phenylalanine improved anticancer activity of prepared nanocarrier. The phenylalanine-coupled SLN were characterized by fourier transform infrared spectroscopy, scanning electron microscope, transmission electron microscopy, particle size, zeta potential, entrapment efficiency and in vitro release. The particle size of the resulting SLN was found to be in the range of 163.3 ± 5.2 to 113.0 ± 2.6 nm, with a slightly negative surface charge. In ex vivo study on C6 glioma cell lines, the cellular cytotoxicity of the SLN was highly increased when coupled with phenylalanine. In addition, stealthing sheath of PEG present on the surface of the SLN enhanced the cellular uptake of the SLN on C6 glioma cell line. Results of biodistribution and fluorescence studies clearly revealed that phenylalanine-coupled SLN could deliver high amount of drug into the brain tumor cells and showed the brain-targeting potential.

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Metadaten
Titel
Phenylalanine-coupled solid lipid nanoparticles for brain tumor targeting
verfasst von
Parul Kharya
Ashish Jain
Arvind Gulbake
Satish Shilpi
Ankit Jain
Pooja Hurkat
Subrata Majumdar
Sanjay K. Jain
Publikationsdatum
01.11.2013
Verlag
Springer Netherlands
Erschienen in
Journal of Nanoparticle Research / Ausgabe 11/2013
Print ISSN: 1388-0764
Elektronische ISSN: 1572-896X
DOI
https://doi.org/10.1007/s11051-013-2022-6

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