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Título

Image guided drug release from pH-sensitive Ion channel-functionalized stealth liposomes into an in vivo glioblastoma model

AutorPacheco-Torres, Jesús CSIC ORCID ; Mukherjee, Nobina; Walko, Martin; López-Larrubia, Pilar CSIC ORCID; Ballesteros, Paloma CSIC ORCID; Cerdán, Sebastián CSIC ORCID; Kocer, Armagan
Palabras claveC6 glioma tumors
Triggered drug delivery
Ion channel engineering
Mechanosensitive channel of large conductance
pH-sensitive liposomes
Magnetic resonance spectroscopy and imaging
Fecha de publicación2015
EditorElsevier
CitaciónNanomedicine: Nanotechnology, Biology, and Medicine 11(6): 1345-1354 (2015)
ResumenLiposomal drug delivery vehicles are promising nanomedicine tools for bringing cytotoxic drugs to cancerous tissues selectively. However, the triggered cargo release from liposomes in response to a target-specific stimulus has remained elusive. We report on functionalizing stealth-liposomes with an engineered ion channel and using these liposomes in vivo for releasing an imaging agent into a cerebral glioma rodent model. If the ambient pH drops below a threshold value, the channel generates temporary pores on the liposomes, thus allowing leakage of the intraluminal medicines. By using magnetic resonance spectroscopy and imaging, we show that engineered liposomes can detect the mildly acidic pH of the tumor microenvironment with 0.2 pH unit precision and they release their content into C6 glioma tumors selectively, in vivo. A drug delivery system with this level of sensitivity and selectivity to environmental stimuli may well serve as an optimal tool for environmentally-triggered and image-guided drug release.
From the Clinical Editor: Cancer remains a leading cause of mortality worldwide. With advances in science, delivery systems of anti-cancer drugs have also become sophisticated. In this article, the authors designed and characterized functionalized liposomal vehicles, which would release the drug payload in a highly sensitive manner in response to a change in pH environment in an animal glioma model. The novel data would enable better future designs of drug delivery systems
URIhttp://hdl.handle.net/10261/124998
DOI10.1016/j.nano.2015.03.014
Identificadoresdoi: 10.1016/j.nano.2015.03.014
issn: 1549-9634
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