Bioinspired 3D microprinted cell scaffolds: Integration of graph theory to recapitulate complex network wiring in lymph nodes.
additive manufacturing
algorithmic design
bioengineering
biomaterials
nature inspired engineering
Journal
Biotechnology journal
ISSN: 1860-7314
Titre abrégé: Biotechnol J
Pays: Germany
ID NLM: 101265833
Informations de publication
Date de publication:
20 Nov 2023
20 Nov 2023
Historique:
revised:
06
11
2023
received:
28
07
2023
accepted:
08
11
2023
pubmed:
21
11
2023
medline:
21
11
2023
entrez:
21
11
2023
Statut:
aheadofprint
Résumé
Physical networks are ubiquitous in nature, but many of them possess a complex organizational structure that is difficult to recapitulate in artificial systems. This is especially the case in biomedical and tissue engineering, where the microstructural details of 3D cell scaffolds are important. Studies of biological networks-such as fibroblastic reticular cell (FRC) networks-have revealed the crucial role of network topology in a range of biological functions. However, cell scaffolds are rarely analyzed, or designed, using graph theory. To understand how networks affect adhered cells, 3D culture platforms capturing the complex topological properties of biologically relevant networks would be needed. In this work, we took inspiration from the small-world organization (high clustering and low path length) of FRC networks to design cell scaffolds. An algorithmic toolset was created to generate the networks and process them to improve their 3D printability. We employed tools from graph theory to show that the networks were small-world (omega factor, ω = -0.10 ± 0.02; small-world propensity, SWP = 0.74 ± 0.01). 3D microprinting was employed to physicalize networks as scaffolds, which supported the survival of FRCs. This work, therefore, represents a bioinspired, graph theory-driven approach to control the networks of microscale cell niches.
Identifiants
pubmed: 37986209
doi: 10.1002/biot.202300359
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e2300359Subventions
Organisme : Cancer Research UK
ID : CGCATF-2021/100014
Pays : United Kingdom
Organisme : NCI NIH HHS
ID : CA278730-01
Pays : United States
Informations de copyright
© 2023 The Authors. Biotechnology Journal published by Wiley-VCH GmbH.
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