Mannose Ligands for Mannose Receptor Targeting.

ligand–receptor interaction mannose mannose receptor targeted drug delivery

Journal

International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791

Informations de publication

Date de publication:
23 Jan 2024
Historique:
received: 14 12 2023
revised: 15 01 2024
accepted: 19 01 2024
medline: 10 2 2024
pubmed: 10 2 2024
entrez: 10 2 2024
Statut: epublish

Résumé

The mannose receptor (MR, CD 206) is an endocytic receptor primarily expressed by macrophages and dendritic cells, which plays a critical role in both endocytosis and antigen processing and presentation. MR carbohydrate recognition domains (CRDs) exhibit a high binding affinity for branched and linear oligosaccharides. Furthermore, multivalent mannose presentation on the various templates like peptides, proteins, polymers, micelles, and dendrimers was proven to be a valuable approach for the selective and efficient delivery of various therapeutically active agents to MR. This review provides a detailed account of the most relevant and recent aspects of the synthesis and application of mannosylated bioactive formulations for MR-mediated delivery in treatments of cancer and other infectious diseases. It further highlights recent findings related to the necessary structural features of the mannose-containing ligands for successful binding to the MR.

Identifiants

pubmed: 38338648
pii: ijms25031370
doi: 10.3390/ijms25031370
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Marija Paurević (M)

Department of Chemistry, Josip Juraj Strossmayer University of Osijek, Cara Hadrijana 8/A, HR-31000 Osijek, Croatia.

Martina Šrajer Gajdošik (M)

Department of Chemistry, Josip Juraj Strossmayer University of Osijek, Cara Hadrijana 8/A, HR-31000 Osijek, Croatia.

Rosana Ribić (R)

Department of Nursing, University Center Varaždin, University North, Jurja Križanića 31b, HR-42000 Varaždin, Croatia.

Classifications MeSH