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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/17189

Title: In vivo and ex vivo assessment of the blood brain barrier integrity in different glioblastoma animal models
Authors: Leten, Cindy
Dresselaers, Tom
Himmelreich, Uwe
Issue Date: 2014
Publisher: SPRINGER
Citation: JOURNAL OF NEURO-ONCOLOGY, 119 (2), p. 297-306
Abstract: Blood brain barrier (BBB) disruption is used (pre)clinically as a measure for brain tumor malignancy and grading. During treatment it is one of the parameters followed rigorously to assess therapeutic efficacy. In animal models, both invasive and non-invasive methods are used to determine BBB disruption, among them Evans blue injection prior to sacrifice and T1-weighted magnetic resonance imaging (MRI) post contrast injection. In this study, we have assessed the BBB integrity with the methods mentioned above in two experimental high grade glioma models, namely the GL261 mouse glioblastoma model and the Hs683 human oligodendroglioma model. The GL261 model showed clear BBB integrity loss with both, contrast-enhanced (CE) MRI and Evans blue staining. In contrast, the Hs683 model only displayed BBB disruption with CE-MRI, which was not evident on Evans blue staining, indicating a limited BBB disruption. These results clearly indicate the importance of assessing the BBB integrity status using appropriate methods. Especially when using large therapeutic molecules that have difficulties crossing the BBB, care should be taken with the appropriate BBB disruption assessment studies.
Notes: [Leten, Cindy; Struys, Tom; Dresselaers, Tom; Himmelreich, Uwe] Katholieke Univ Leuven, Dept Imaging & Pathol, Biomed MRI, B-3000 Louvain, Belgium. [Leten, Cindy; Dresselaers, Tom; Himmelreich, Uwe] Katholieke Univ Leuven, Mol Small Anim Imaging Ctr, B-3000 Louvain, Belgium. [Struys, Tom] Univ Hasselt, Biomed Res Inst, Histol Lab, B-3500 Hasselt, Belgium.
URI: http://hdl.handle.net/1942/17189
DOI: 10.1007/s11060-014-1514-2
ISI #: 000341184500008
ISSN: 0167-594X
Category: A1
Type: Journal Contribution
Validation: ecoom, 2015
Appears in Collections: Research publications

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