Anisotropic dense collagen hydrogels with two ranges of porosity to mimic the skeletal muscle extracellular matrix.


Journal

Biomaterials advances
ISSN: 2772-9508
Titre abrégé: Biomater Adv
Pays: Netherlands
ID NLM: 9918383886206676

Informations de publication

Date de publication:
Jan 2023
Historique:
received: 06 07 2022
revised: 08 11 2022
accepted: 21 11 2022
pubmed: 9 12 2022
medline: 22 12 2022
entrez: 8 12 2022
Statut: ppublish

Résumé

Despite the crucial role of the extracellular matrix (ECM) in the organotypic organization and function of skeletal muscles, most 3D models do not mimic its specific characteristics, namely its biochemical composition, stiffness, anisotropy, and porosity. Here, a novel 3D in vitro model of muscle ECM was developed reproducing these four crucial characteristics of the native ECM. An anisotropic hydrogel mimicking the muscle fascia was obtained thanks to unidirectional 3D printing of dense collagen with aligned collagen fibrils. The space between the different layers was tuned to generate an intrinsic network of pores (100 μm) suitable for nutrient and oxygen diffusion. By modulating the gelling conditions, the mechanical properties of the construct reached those measured in the physiological muscle ECM. This artificial matrix was thus evaluated for myoblast differentiation. The addition of large channels (600 μm) by molding permitted to create a second range of porosity suitable for cell colonization without altering the physical properties of the hydrogel. Skeletal myoblasts embedded in Matrigel®, seeded within the channels, organized in 3D, and differentiated into multinucleated myotubes. These results show that porous and anisotropic dense collagen hydrogels are promising biomaterials to model skeletal muscle ECM.

Identifiants

pubmed: 36481519
pii: S2772-9508(22)00496-4
doi: 10.1016/j.bioadv.2022.213219
pii:
doi:

Substances chimiques

Hydrogels 0
Collagen 9007-34-5

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

213219

Informations de copyright

Copyright © 2022 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare no conflict of interests relevant to this work.

Auteurs

Marie Camman (M)

Laboratoire de Chimie de la Matière Condensée de Paris, Sorbonne Université, CNRS, UMR 7574, F-75005, Paris, France; Institut de Biologie Paris-Seine (IBPS), Sorbonne Université, CNRS, UMR 8256, Inserm U1164, Biological Adaptation and Ageing, F-75005, Paris, France.

Pierre Joanne (P)

Institut de Biologie Paris-Seine (IBPS), Sorbonne Université, CNRS, UMR 8256, Inserm U1164, Biological Adaptation and Ageing, F-75005, Paris, France.

Julie Brun (J)

Sciences et Ingénierie de la Matière Molle, ESPCI Paris, Université PSL, CNRS, Sorbonne Université, F-75005, Paris, France.

Alba Marcellan (A)

Sciences et Ingénierie de la Matière Molle, ESPCI Paris, Université PSL, CNRS, Sorbonne Université, F-75005, Paris, France.

Julien Dumont (J)

CIRB Microscopy facility, Collège de France, CNRS, UMR 7241, Inserm U1050, F-75005, Paris, France.

Onnik Agbulut (O)

Institut de Biologie Paris-Seine (IBPS), Sorbonne Université, CNRS, UMR 8256, Inserm U1164, Biological Adaptation and Ageing, F-75005, Paris, France. Electronic address: onnik.agbulut@sorbonne-universite.fr.

Christophe Hélary (C)

Laboratoire de Chimie de la Matière Condensée de Paris, Sorbonne Université, CNRS, UMR 7574, F-75005, Paris, France. Electronic address: christophe.helary@sorbonne-universite.fr.

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Classifications MeSH