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A predictive microfluidic model of human glioblastoma to assess trafficking of blood–brain barrier-penetrant nanoparticles

Author(s)
Straehla, Joelle P; Hajal, Cynthia; Safford, Hannah C; Offeddu, Giovanni S; Boehnke, Natalie; Dacoba, Tamara G; Wyckoff, Jeffrey; Kamm, Roger D; Hammond, Paula T; ... Show more Show less
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Abstract
The blood–brain barrier represents a significant challenge for the treatment of high-grade gliomas, and our understanding of drug transport across this critical biointerface remains limited. To advance preclinical therapeutic development for gliomas, there is an urgent need for predictive in vitro models with realistic blood–brain-barrier vasculature. Here, we report a vascularized human glioblastoma multiforme (GBM) model in a microfluidic device that accurately recapitulates brain tumor vasculature with self-assembled endothelial cells, astrocytes, and pericytes to investigate the transport of targeted nanotherapeutics across the blood–brain barrier and into GBM cells. Using modular layer-by-layer assembly, we functionalized the surface of nanoparticles with GBM-targeting motifs to improve trafficking to tumors. We directly compared nanoparticle transport in our in vitro platform with transport across mouse brain capillaries using intravital imaging, validating the ability of the platform to model in vivo blood–brain-barrier transport. We investigated the therapeutic potential of functionalized nanoparticles by encapsulating cisplatin and showed improved efficacy of these GBM-targeted nanoparticles both in vitro and in an in vivo orthotopic xenograft model. Our vascularized GBM model represents a significant biomaterials advance, enabling in-depth investigation of brain tumor vasculature and accelerating the development of targeted nanotherapeutics.
Date issued
2022-06-01
URI
https://hdl.handle.net/1721.1/160949
Department
Koch Institute for Integrative Cancer Research at MIT; Massachusetts Institute of Technology. Department of Mechanical Engineering; Massachusetts Institute of Technology. Department of Biological Engineering; Massachusetts Institute of Technology. Department of Chemical Engineering
Journal
Proceedings of the National Academy of Sciences
Publisher
Proceedings of the National Academy of Sciences
Citation
J.P. Straehla,C. Hajal,H.C. Safford,G.S. Offeddu,N. Boehnke,T.G. Dacoba,J. Wyckoff,R.D. Kamm, & P.T. Hammond, A predictive microfluidic model of human glioblastoma to assess trafficking of blood–brain barrier-penetrant nanoparticles, Proc. Natl. Acad. Sci. U.S.A. 119 (23) e2118697119 (2022).
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