Enzyme-triggered antigen release enhances cross-presentation by dendritic cells.


Journal

Nanomedicine : nanotechnology, biology, and medicine
ISSN: 1549-9642
Titre abrégé: Nanomedicine
Pays: United States
ID NLM: 101233142

Informations de publication

Date de publication:
06 2022
Historique:
received: 20 12 2021
revised: 11 02 2022
accepted: 01 03 2022
pubmed: 15 3 2022
medline: 18 5 2022
entrez: 14 3 2022
Statut: ppublish

Résumé

Nanoparticles hold great potential as vaccine carriers due to their highly versatile structure and the possibility to influence intracellular trafficking and antigen presentation by their design. In this study, we developed a nanoparticulate system with a new enzyme-triggered antigen release mechanism. For this novel approach, nanoparticle and model antigen ovalbumin were linked with a substrate of the early endosomal protease cathepsin S. This construct enabled the transfer of antigens delivered to bone marrow-derived dendritic cells from the endo-lysosomal compartments in the cytosol. Consecutively, our particles enhanced cross-presentation on dendritic cells and subsequently promoted a stronger activation of CD8

Identifiants

pubmed: 35283290
pii: S1549-9634(22)00031-4
doi: 10.1016/j.nano.2022.102545
pii:
doi:

Substances chimiques

Antigens 0
Vaccines 0
Ovalbumin 9006-59-1

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

102545

Informations de copyright

Copyright © 2022. Published by Elsevier Inc.

Auteurs

Monika Stahl (M)

Department of Pharmaceutical Technology, University of Regensburg, Regensburg, Germany. Electronic address: monika.stahl@ur.de.

Jonas Holzinger (J)

Institute of Clinical Microbiology and Hygiene, University Hospital Regensburg, Regensburg, Germany. Electronic address: jonas.holzinger@ukr.de.

Sigrid Bülow (S)

Institute of Clinical Microbiology and Hygiene, University Hospital Regensburg, Regensburg, Germany. Electronic address: sigrid.buelow@ukr.de.

Achim M Goepferich (AM)

Department of Pharmaceutical Technology, University of Regensburg, Regensburg, Germany. Electronic address: achim.goepferich@ur.de.

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Classifications MeSH