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Zebrafish as a predictive screening model to assess macrophage clearance of liposomes in vivo

Sieber, Sandro and Grossen, Philip and Uhl, Philipp and Detampel, Pascal and Mier, Walter and Witzigmann, Dominik and Huwyler, Jörg. (2019) Zebrafish as a predictive screening model to assess macrophage clearance of liposomes in vivo. Nanomedicine: nanotechnology, biology and medicine, 17. pp. 82-93.

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Official URL: https://edoc.unibas.ch/69423/

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Abstract

Macrophage recognition of nanoparticles is highly influenced by particle size and surface modification. Due to the lack of appropriate in vivo screening models, it is still challenging and time-consuming to characterize and optimize nanomedicines regarding this undesired clearance mechanism. Therefore, we validate zebrafish embryos as an emerging vertebrate screening tool to assess the macrophage sequestration of surface modified particulate formulations with varying particle size under realistic biological conditions. Liposomes with different PEG molecular weights (PEG350 - PEG5000) at different PEG densities (3.0-10.0mol%) and particle sizes between 60 and 120nm were used as a well-established reference system showing various degrees of macrophage uptake. The results of in vitro experiments, zebrafish embryos, and in vivo rodent biodistribution studies were consistent, highlighting the validity of the newly introduced zebrafish macrophage clearance model. We hereby present a strategy for efficient, systematic and rapid nanomedicine optimization in order to facilitate the preclinical development of nanotherapeutics.
Faculties and Departments:05 Faculty of Science > Departement Pharmazeutische Wissenschaften > Pharmazie > Pharmaceutical Technology (Huwyler)
UniBasel Contributors:Huwyler, Jörg and Sieber, Sandro and Grossen, Philip and Detampel, Pascal and Witzigmann, Dominik
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Elsevier
ISSN:1549-9634
e-ISSN:1549-9642
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:07 Aug 2020 12:21
Deposited On:07 Aug 2020 12:21

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