Receptor-mediated transcytosis of macromolecules across the blood-brain barrier.

Blood–brain barrier endocytosis macromolecules particles receptor-mediated transcytosis targeting trafficking

Journal

Expert opinion on drug delivery
ISSN: 1744-7593
Titre abrégé: Expert Opin Drug Deliv
Pays: England
ID NLM: 101228421

Informations de publication

Date de publication:
15 Sep 2023
Historique:
pubmed: 2 9 2023
medline: 2 9 2023
entrez: 2 9 2023
Statut: aheadofprint

Résumé

The blood-brain barrier (BBB) restricts brain access of virtually all macromolecules. Receptor-mediated transcytosis (RMT) is one strategy toward their brain delivery. In this strategy, targeting ligands conjugated to therapeutic payload or decorating particles containing the payload interact with targets on brain capillary endothelial cells (BCEC), triggering internalization, trafficking, and release from BCEC. RMT at the BBB has leveraged multiple formats of macromolecules and large particles. Interactions between those and BCEC have been studied primarily using antibodies, with findings applicable to the design of larger particles. BBB-penetrant constructs have also been identified in screening campaigns and directed evolution, and subsequently found to interact with RMT targets. In addition, BCEC targeted by constructs incorporating genomic payload can be made to produce therapeutic proteins. While targeting may not be strictly necessary to reach a therapeutic effect for all macromolecules, it can improve a molecule's BBB transport, exposing it to the entire brain parenchyma and enhancing its effect. Constructs with better BCEC transcytosis may be designed rationally, leveraging knowledge about BCEC trafficking, and found in screening campaigns, where this knowledge can reduce the search space and improve iterative refinement. Identification of new targets may also help generate BBB-crossing constructs.

Identifiants

pubmed: 37658673
doi: 10.1080/17425247.2023.2255138
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-13

Auteurs

Habib Baghirov (H)

Roche Informatics, F. Hoffmann-La Roche Ltd, Poznań, Poland.

Classifications MeSH