Remote-loading of liposomes with manganese-52 and in vivo evaluation of the stabilities ofMn-DOTA andCu-DOTA using radiolabelled liposomes and PET imaging

Andreas I Jensen, Gregory W Severin, Anders E Hansen, Frederikke P Fliedner, Rasmus Eliasen, Ladan Parhamifar, Andreas Kjær, Thomas L Andresen, Jonas R Henriksen

50 Citationer (Scopus)

Abstract

Liposomes are nanoparticles used in drug delivery that distribute over several days in humans and larger animals. Radiolabeling with long-lived positron emission tomography (PET) radionuclides, such as manganese-52 (52Mn, T½=5.6days), allow the imaging of this biodistribution. We report optimized protocols for radiolabeling liposomes with52Mn, through both remote-loading and surface labeling. For comparison, liposomes were also remote-loaded and surface labeled with copper-64 (64Cu, T½=12.7h) through conventional means. The chelator DOTA was used in all cases. The in vivo stability of radiometal chelates is widely debated but studies that mimic a realistic in vivo setting are lacking. Therefore, we employed these four radiolabeled liposome types as platforms to demonstrate a new concept for such in vivo evaluation, here of the chelates52Mn-DOTA and64Cu-DOTA. This was done by comparing "shielded" remote-loaded with "exposed" surface labeled variants in a CT26 tumor-bearing mouse model. Remote loading (90min at 55°C) and surface labeling (55°C for 2h) of52Mn gave excellent radiolabeling efficiencies of 97-100% and 98-100% respectively, and the liposome biodistribution was imaged by PET for up to 8days. Liposomes with surface-conjugated52Mn-DOTA exhibited a significantly shorter plasma half-life (T½=14.4h) when compared to the remote-loaded counterpart (T½=21.3h), whereas surface-conjugated64Cu-DOTA cleared only slightly faster and non-significantly, when compared to remote-loaded (17.2±2.9h versus 20.3±1.2h). From our data, we conclude the successful remote-loading of liposomes with52Mn, and furthermore that52Mn-DOTA may be unstable in vivo whereas64Cu-DOTA appears suitable for quantitative imaging.

OriginalsprogEngelsk
TidsskriftJournal of Controlled Release
Vol/bind269
Sider (fra-til)100-109
Antal sider10
ISSN0168-3659
DOI
StatusUdgivet - 10 jan. 2018

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