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  5. Cutting-edge advances in modeling the blood–brain barrier and tools for its reversible permeabilization for enhanced drug delivery into the brain

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Article
en
2023

Cutting-edge advances in modeling the blood–brain barrier and tools for its reversible permeabilization for enhanced drug delivery into the brain

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en
2023
Vol 13 (1)
Vol. 13
DOI: 10.1186/s13578-023-01079-3

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Rui L Reis
Rui L Reis

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Amit Sharma
Diogo Fernandes
Rui L Reis
+8 more

Abstract

The blood-brain barrier (BBB) is a sophisticated structure whose full functionality is required for maintaining the executive functions of the central nervous system (CNS). Tight control of transport across the barrier means that most drugs, particularly large size, which includes powerful biologicals, cannot reach their targets in the brain. Notwithstanding the remarkable advances in characterizing the cellular nature of the BBB and consequences of BBB dysfunction in pathology (brain metastasis, neurological diseases), it remains challenging to deliver drugs to the CNS. Herein, we outline the basic architecture and key molecular constituents of the BBB. In addition, we review the current status of approaches that are being explored to temporarily open the BBB in order to allow accumulation of therapeutics in the CNS. Undoubtedly, the major concern in field is whether it is possible to open the BBB in a meaningful way without causing negative consequences. In this context, we have also listed few other important key considerations that can improve our understanding about the dynamics of the BBB.

How to cite this publication

Amit Sharma, Diogo Fernandes, Rui L Reis, Dominika Gołubczyk, Silke Neumann, Barbara Łukomska, Mirosław Janowski, Marcin Kortylewski, Piotr Walczak, Joaquím M. Oliveira, Jarek Maciaczyk (2023). Cutting-edge advances in modeling the blood–brain barrier and tools for its reversible permeabilization for enhanced drug delivery into the brain. , 13(1), DOI: https://doi.org/10.1186/s13578-023-01079-3.

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Publication Details

Type

Article

Year

2023

Authors

11

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1186/s13578-023-01079-3

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