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Cell Interplay Model to Assess the Impact of Glioma Cells on Blood–Brain Barrier Permeability

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The Blood-Brain Barrier

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2492))

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Abstract

The blood–brain barrier (BBB) is the most selective protecting layer of the central nervous system (CNS) with unique neurovascular features. The BBB is known to undergo a process of molecular alterations during disease state, such as in the case of glioma. This results in a non-uniform permeability along the BBB layer, which retains intact regions but develops focal sites of higher leakiness, especially in the surrounds of the tumor core. Although essential to guarantee brain homeostasis, the BBB has been the Achilles heel of drug delivery to the brain since the early times of the first classification as “barrier,” more than a century ago. Due to the presence of the BBB, the transport of drug molecules from the bloodstream to the brain parenchyma is highly restricted, and, therefore, clinically relevant therapeutic concentrations cannot be achieved. Research efforts have focused on the development of novel tools to ameliorate drug permeability across the BBB, including drug formulation into non-invasive delivery systems with brain targeting properties and techniques that allow a temporary disruption of the BBB. To strengthen the advancement of potential drug candidates, in vitro models that recapitulate the main in vivo features of BBB are required to perform a preliminary screening of permeability, both in health and disease conditions. Herein, a protocol to assemble a BBB in vitro model to screen drug permeability in a glioma disease state is detailed. The model consists of a BBB and glioma cell co-culture and aims at exploiting the effect of the interplay between the cell constituents on the permeability of drug molecules. Although simple and straightforward, the herein in vitro model presents a high reproducibility, cost-effectiveness, and a favorable time–benefit balance.

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References

  1. Saunders NR, Dreifuss JJ, Dziegielewska KM, Johansson PA, Habgood MD, Møllgård K, Bauer HC (2014) The rights and wrongs of blood-brain barrier permeability studies: a walk through 100 years of history. Front Neurosci 8:404. https://doi.org/10.3389/fnins.2014.00404

    Article  PubMed  PubMed Central  Google Scholar 

  2. Arvanitis CD, Ferraro GB, Jain RK (2020) The blood–brain barrier and blood–tumour barrier in brain tumours and metastases. Nat Rev Cancer 20:26–41. https://doi.org/10.1038/s41568-019-0205-x

    Article  CAS  PubMed  Google Scholar 

  3. Pandit R, Chen L, Götz J (2020) The blood-brain barrier: physiology and strategies for drug delivery. Adv Drug Deliv Rev 165–166:1–14. https://doi.org/10.1016/j.addr.2019.11.009

    Article  CAS  PubMed  Google Scholar 

  4. Liebner S, Dijkhuizen RM, Reiss Y, Plate KH, Agalliu D, Constantin G (2018) Functional morphology of the blood–brain barrier in health and disease. Acta Neuropathol 135:311–336. https://doi.org/10.1007/s00401-018-1815-1

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Achrol AS, Rennert RC, Anders C, Soffietti R, Ahluwalia MS, Nayak L, Peters S, Arvold ND, Harsh GR, Steeg PS, Chang SD (2019) Brain metastases. Nat Rev Dis Primers 5:5. https://doi.org/10.1038/s41572-018-0055-y

    Article  PubMed  Google Scholar 

  6. Dubois LG, Campanati L, Righy C, D’Andrea-Meira I, Spohr TC, Porto-Carreiro I, Pereira CM, Balça-Silva J, Kahn SA, DosSantos MF, Oliveira Mde A, Ximenes-da-Silva A, Lopes MC, Faveret E, Gasparetto EL, Moura-Neto V (2014) Gliomas and the vascular fragility of the blood brain barrier. Front Cell Neurosci 8:418. https://doi.org/10.3389/fncel.2014.00418

    Article  PubMed  PubMed Central  Google Scholar 

  7. Watkins S, Robel S, Kimbrough IF, Robert SM, Ellis-Davies G, Sontheimer H (2014) Disruption of astrocyte-vascular coupling and the blood-brain barrier by invading glioma cells. Nat Commun 5:4196. https://doi.org/10.1038/ncomms5196

    Article  CAS  PubMed  Google Scholar 

  8. Sarkaria JN, Hu LS, Parney IF, Pafundi DH, Brinkmann DH, Laack NN, Giannini C, Burns TC, Kizilbash SH, Laramy JK, Swanson KR, Kaufmann TJ, Brown PD, Agar NYR, Galanis E, Buckner JC, Elmquist WF (2018) Is the blood-brain barrier really disrupted in all glioblastomas? A critical assessment of existing clinical data. Neuro Oncol 20:184–191. https://doi.org/10.1093/neuonc/nox175

    Article  CAS  PubMed  Google Scholar 

  9. Pardridge WM (2005) The blood-brain barrier: bottleneck in brain drug development. Neurotherapeutics 2:3–14. https://doi.org/10.1602/neurorx.2.1.3

    Article  Google Scholar 

  10. Lee CS, Leong KW (2020) Advances in microphysiological blood-brain barrier (BBB) models towards drug delivery. Curr Opin Biotechnol 66:78–87. https://doi.org/10.1016/j.copbio.2020.06.009

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Haumann R, Videira JC, Kaspers GJL, van Vuurden DG, Hulleman E (2020) Overview ofcurrent drug delivery methods across the blood–brain barrier for the treatment of primary brain tumors. CNS Drugs 34(11):1121–1131. https://doi.org/10.1007/s40263-020-00766-w

    Article  PubMed  PubMed Central  Google Scholar 

  12. Graham ML, Prescott MJ (2015) The multifactorial role of the 3Rs in shifting the harm-benefit analysis in animal models of disease. Eur J Pharmacol 759:19–29. https://doi.org/10.1016/j.ejphar.2015.03.040

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Buckley ST, Fischer SM, Fricker G, Brandl M (2012) In vitro models to evaluate the permeability of poorly soluble drug entities: challenges and perspectives. Eur J Pharm Sci 45:235–250. https://doi.org/10.1016/j.ejps.2011.12.007

    Article  CAS  PubMed  Google Scholar 

  14. Jamieson JJ, Searson PC, Gerecht S (2017) Engineering the human blood-brain barrier in vitro. J Biol Eng 11:37. https://doi.org/10.1186/s13036-017-0076-1

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Garberg P, Ball M, Borg N, Cecchelli R, Fenart L, Hurst RD, Lindmark T, Mabondzo A, Nilsson JE, Raub TJ, Stanimirovic D, Terasaki T, Öberg JO, Österberg T (2005) In vitro models for the blood–brain barrier. Toxicol In Vitro 19:299–334. https://doi.org/10.1016/j.tiv.2004.06.011

    Article  CAS  PubMed  Google Scholar 

  16. Gomes MJ, Kennedy PJ, Martins S, Sarmento B (2017) Delivery of siRNA silencing P-gp in peptide-functionalized nanoparticles causes efflux modulation at the blood–brain barrier. Nanomedicine 12:1385–1399. https://doi.org/10.2217/nnm-2017-0023

    Article  CAS  PubMed  Google Scholar 

  17. Yamaguchi S, Ito S, Masuda T, Couraud P-O, Ohtsuki S (2020) Novel cyclic peptides facilitating transcellular blood-brain barrier transport of macromolecules in vitro and in vivo. J Control Release 321:744–755. https://doi.org/10.1016/j.jconrel.2020.03.001

    Article  CAS  PubMed  Google Scholar 

  18. Łukasiewicz S, Błasiak E, Szczepanowicz K, Guzik K, Bzowska M, Warszyński P, Dziedzicka-Wasylewska M (2017) The interaction of clozapine loaded nanocapsules with the hCMEC/D3 cells – in vitro model of blood brain barrier. Colloids Surf B Biointerfaces 159:200–210. https://doi.org/10.1016/j.colsurfb.2017.07.053

    Article  CAS  PubMed  Google Scholar 

  19. Yokoyama R, Taharabaru T, Nishida T, Ohno Y, Maeda Y, Sato M, Ishikura K, Yanagihara K, Takagi H, Nakamura T, Ito S, Ohtsuki S, Arima H, Onodera R, Higashi T, Motoyama K (2020) Lactose-appended β-cyclodextrin as an effective nanocarrier for brain delivery. J Control Release 328:722–735. https://doi.org/10.1016/j.jconrel.2020.09.043

    Article  CAS  PubMed  Google Scholar 

  20. Strazza M, Maubert ME, Pirrone V, Wigdahl B, Nonnemacher MR (2016) Co-culture model consisting of human brain microvascular endothelial and peripheral blood mononuclear cells. J Neurosci Methods 269:39–45. https://doi.org/10.1016/j.jneumeth.2016.05.016

    Article  PubMed  PubMed Central  Google Scholar 

  21. Kulczar C, Lubin KE, Lefebvre S, Miller DW, Knipp GT (2017) Development of a direct contact astrocyte-human cerebral microvessel endothelial cells blood–brain barrier coculture model. J Pharm Pharmacol 69:1684–1696. https://doi.org/10.1111/jphp.12803

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Weksler B, Romero IA, Couraud P-O (2013) The hCMEC/D3 cell line as a model of the human blood brain barrier. Fluids Barriers CNS 10:16–16. https://doi.org/10.1186/2045-8118-10-16

    Article  PubMed  PubMed Central  Google Scholar 

  23. Zeng Y, Wang X, Wang J, Yi R, Long H, Zhou M, Luo Q, Zhai Z, Song Y, Qi S (2018) The tumorgenicity of glioblastoma cell line U87MG decreased during serial in vitro passage. Cell Mol Neurobiol 38:1245–1252. https://doi.org/10.1007/s10571-018-0592-7

    Article  CAS  PubMed  Google Scholar 

  24. Mendes B, Marques C, Carvalho I, Costa P, Martins S, Ferreira D, Sarmento B (2015) Influence of glioma cells on a new co-culture in vitro blood–brain barrier model for characterization and validation of permeability. Int J Pharm 490:94–101. https://doi.org/10.1016/j.ijpharm.2015.05.027

    Article  CAS  PubMed  Google Scholar 

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Acknowledgments

This work was financed by Portuguese funds through Fundação para a Ciência e a Tecnologia (FCT)/Ministério da Ciência, Tecnologia e Ensino Superior, in the framework of the project “Institute for Research and Innovation in Health Sciences” UID/BIM/04293/2019. CM gratefully acknowledges Fundação para a Ciência e a Tecnologia (FCT), Portugal, for financial support (grant SFRH/BD/137946/2018).

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Correspondence to Bruno Sarmento .

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Martins, C., Sarmento, B. (2022). Cell Interplay Model to Assess the Impact of Glioma Cells on Blood–Brain Barrier Permeability. In: Stone, N. (eds) The Blood-Brain Barrier. Methods in Molecular Biology, vol 2492. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-2289-6_15

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  • DOI: https://doi.org/10.1007/978-1-0716-2289-6_15

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-2288-9

  • Online ISBN: 978-1-0716-2289-6

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