Matthew J. Vassey
Immune Modulation by Design: Using Topography to Control Human Monocyte Attachment and Macrophage Differentiation
Vassey, Matthew J.; Figueredo, Grazziela P.; Scurr, David J.; Vasilevich, Aliaksei S.; Vermeulen, Steven; Carlier, Aur�lie; Luckett, Jeni; Beijer, Nick R.M.; Williams, Paul; Winkler, David A.; de Boer, Jan; Ghaemmaghami, Amir M.; Alexander, Morgan R.
Authors
GRAZZIELA FIGUEREDO G.Figueredo@nottingham.ac.uk
Associate Professor
DAVID SCURR DAVID.SCURR@NOTTINGHAM.AC.UK
Principal Research Fellow
Aliaksei S. Vasilevich
Steven Vermeulen
Aur�lie Carlier
JENI LUCKETT JENI.LUCKETT@NOTTINGHAM.AC.UK
Senior Research Fellow
Nick R.M. Beijer
PAUL WILLIAMS PAUL.WILLIAMS@NOTTINGHAM.AC.UK
Professor of Molecular Microbiology
David A. Winkler
Jan de Boer
Professor AMIR GHAEMMAGHAMI AMIR.GHAEMMAGHAMI@NOTTINGHAM.AC.UK
Professor of Immunology and Immuno- Bioengineering
MORGAN ALEXANDER MORGAN.ALEXANDER@NOTTINGHAM.AC.UK
Professor of Biomedical Surfaces
Abstract
© 2020 The Authors. Published by WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim Macrophages play a central role in orchestrating immune responses to foreign materials, which are often responsible for the failure of implanted medical devices. Material topography is known to influence macrophage attachment and phenotype, providing opportunities for the rational design of “immune-instructive” topographies to modulate macrophage function and thus foreign body responses to biomaterials. However, no generalizable understanding of the inter-relationship between topography and cell response exists. A high throughput screening approach is therefore utilized to investigate the relationship between topography and human monocyte–derived macrophage attachment and phenotype, using a diverse library of 2176 micropatterns generated by an algorithm. This reveals that micropillars 5–10µm in diameter play a dominant role in driving macrophage attachment compared to the many other topographies screened, an observation that aligns with studies of the interaction of macrophages with particles. Combining the pillar size with the micropillar density is found to be key in modulation of cell phenotype from pro to anti-inflammatory states. Machine learning is used to successfully build a model that correlates cell attachment and phenotype with a selection of descriptors, illustrating that materials can potentially be designed to modulate inflammatory responses for future applications in the fight against foreign body rejection of medical devices.
Citation
Vassey, M. J., Figueredo, G. P., Scurr, D. J., Vasilevich, A. S., Vermeulen, S., Carlier, A., …Alexander, M. R. (2020). Immune Modulation by Design: Using Topography to Control Human Monocyte Attachment and Macrophage Differentiation. Advanced Science, 7(11), Article 1903392. https://doi.org/10.1002/advs.201903392
Journal Article Type | Article |
---|---|
Acceptance Date | Mar 11, 2020 |
Online Publication Date | Apr 28, 2020 |
Publication Date | 2020-06 |
Deposit Date | Apr 3, 2020 |
Publicly Available Date | Apr 30, 2020 |
Journal | Advanced Science |
Electronic ISSN | 2198-3844 |
Publisher | Wiley |
Peer Reviewed | Peer Reviewed |
Volume | 7 |
Issue | 11 |
Article Number | 1903392 |
DOI | https://doi.org/10.1002/advs.201903392 |
Keywords | General Engineering; General Physics and Astronomy; General Materials Science; Medicine (miscellaneous); General Chemical Engineering; Biochemistry, Genetics and Molecular Biology (miscellaneous) |
Public URL | https://nottingham-repository.worktribe.com/output/4246086 |
Publisher URL | https://onlinelibrary.wiley.com/doi/full/10.1002/advs.201903392 |
Additional Information | Received: 2019-12-11; Accepted: 2020-03-11; Published: 2020-04-28 |
Files
Vassey et al Advanced Science 2020
(1.4 Mb)
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Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
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