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Development of Morphologically Discrete PEG–PDLLA Nanotubes for Precision Nanomedicine

[Image: see text] Precise control over the morphological features of nanoparticles is an important requisite for their application in nanomedical research. Parameters such as size and shape have been identified as critical features for effective nanotherapeutic technologies due to their role in circ...

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Detalles Bibliográficos
Autores principales: Wauters, Annelies C., Pijpers, Imke A. B., Mason, Alexander F., Williams, David S., Tel, Jurjen, Abdelmohsen, Loai K. E. A., van Hest, Jan C.M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2018
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6335608/
https://www.ncbi.nlm.nih.gov/pubmed/30265794
http://dx.doi.org/10.1021/acs.biomac.8b01245
Descripción
Sumario:[Image: see text] Precise control over the morphological features of nanoparticles is an important requisite for their application in nanomedical research. Parameters such as size and shape have been identified as critical features for effective nanotherapeutic technologies due to their role in circulation, distribution, and internalization in vivo. Tubular PEG–PDLLA polymersomes (nanotubes) exhibit an interesting morphology with potential for immunotherapeutics, as the elongated shape can affect cell–particle interactions. Developing methodologies that permit control over the precise form of such nanotubes is important for their biomedical implementation due to the stringent physicochemical constraints for efficacious performance. Through careful control over the engineering process, we demonstrate the generation of well-defined nanotubes based on polymersomes as small as 250 and 100 nm, which can be successfully shape transformed. The quality of the resulting nanostructures was established by physical characterization using AF4-MALS and cryo-TEM. Moreover, we show the successful loading of such nanotubes with model payloads (proteins and drugs). These findings provide a promising platform for implementation in biomedical applications in which discrete structure and functionality are essential features.