Imaging-assisted nanoimmunotherapy for atherosclerosis in multiple species Journal Article


Authors: Binderup, T.; Duivenvoorden, R.; Fay, F.; van Leent, M. M. T.; Malkus, J.; Baxter, S.; Ishino, S.; Zhao, Y.; Sanchez-Gaytan, B.; Teunissen, A. J. P.; Frederico, Y. C. A.; Tang, J.; Carlucci, G.; Lyashchenko, S.; Calcagno, C.; Karakatsanis, N.; Soultanidis, G.; Senders, M. L.; Robson, P. M.; Mani, V.; Ramachandran, S.; Lobatto, M. E.; Hutten, B. A.; Granada, J. F.; Reiner, T.; Swirski, F. K.; Nahrendorf, M.; Kjaer, A.; Fisher, E. A.; Fayad, Z. A.; Pérez-Medina, C.; Mulder, W. J. M.
Article Title: Imaging-assisted nanoimmunotherapy for atherosclerosis in multiple species
Abstract: Nanomedicine research produces hundreds of studies every year, yet very few formulations have been approved for clinical use. This is due in part to a reliance on murine studies, which have limited value in accurately predicting translational efficacy in larger animal models and humans. Here, we report the scale-up of a nanoimmunotherapy from mouse to large rabbit and porcine atherosclerosis models, with an emphasis on the solutions we implemented to overcome production and evaluation challenges. Specifically, we integrated translational imaging readouts within our workflow to both analyze the nanoimmunotherapeutic's in vivo behavior and assess treatment response in larger animals. We observed our nanoimmunotherapeutic's anti-inflammatory efficacy in mice, as well as rabbits and pigs. Nanoimmunotherapy-mediated reduction of inflammation in the large animal models halted plaque progression, supporting the approach's translatability and potential to acutely treat atherosclerosis. © 2019 The Authors, some rights reserved.
Journal Title: Science Translational Medicine
Volume: 11
Issue: 506
ISSN: 1946-6234
Publisher: American Association for the Advancement of Science  
Date Published: 2019-08-21
Start Page: eaaw7736
Language: English
DOI: 10.1126/scitranslmed.aaw7736
PUBMED: 31434756
PROVIDER: scopus
PMCID: PMC7328283
DOI/URL:
Notes: Source: Scopus
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  1. Thomas Reiner
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  2. Jun   Tang
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