Toggle Main Menu Toggle Search

Open Access padlockePrints

Nanometer- and angstrom-scale characteristics that modulate complement responses to nanoparticles

Lookup NU author(s): Professor Moein MoghimiORCiD, Hajira -

Downloads


Licence

This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© 2022 The Authors. The contribution of the complement system to non-specific host defence and maintenance of homeostasis is well appreciated. Many particulate systems trigger complement activation but the underlying mechanisms are still poorly understood. Activation of the complement cascade could lead to particle opsonisation by the cleavage products of the third complement protein and might promote inflammatory reactions. Antibody binding in a controlled manner and/or sensing of particles by the complement pattern-recognition molecules such as C1q and mannose-binding lectin can trigger complement activation. Particle curvature and spacing arrangement/periodicity of surface functional groups/ligands are two important parameters that modulate complement responses through multivalent engagement with and conformational regulation of surface-bound antibodies and complement pattern-recognition molecules. Thus, a better fundamental understanding of nanometer- and angstrom-scale parameters that modulate particle interaction with antibodies and complement proteins could portend new possibilities for engineering of particulate drug carriers and biomedical platforms with tuneable complement responses and is discussed here.


Publication metadata

Author(s): Moghimi SM, Haroon HB, Yaghmur A, Simberg D, Trohopoulos PN

Publication type: Article

Publication status: Published

Journal: Journal of Controlled Release

Year: 2022

Volume: 351

Pages: 432-443

Print publication date: 01/11/2022

Online publication date: 27/09/2022

Acceptance date: 18/08/2022

Date deposited: 12/10/2022

ISSN (print): 0168-3659

ISSN (electronic): 1873-4995

Publisher: Elsevier BV

URL: https://doi.org/10.1016/j.jconrel.2022.09.039

DOI: 10.1016/j.jconrel.2022.09.039

PubMed id: 36152807


Altmetrics

Altmetrics provided by Altmetric


Funding

Funder referenceFunder name
956544
310337Commission of the European Communities
DFF-7017-00065
DIRNANO programme
R01AI154959

Share