Magnetic alignment of injectable hydrogel scaffolds for spinal cord injury repair.


Journal

Biomaterials science
ISSN: 2047-4849
Titre abrégé: Biomater Sci
Pays: England
ID NLM: 101593571

Informations de publication

Date de publication:
04 May 2022
Historique:
pubmed: 31 3 2022
medline: 6 5 2022
entrez: 30 3 2022
Statut: epublish

Résumé

Injectable hydrogels for cell delivery and tissue regeneration have several advantages over pre-fabricated scaffolds that require more invasive transplantation procedures, but lack the ability to implement tunable topologies. Here, we describe an approach to create patternable and injectable scaffolds using magnetically-responsive (MR) self-assembling peptide hydrogels, and validate their efficacy to promote and align axon infiltration at the site of a spinal cord injury.

Identifiants

pubmed: 35352727
doi: 10.1039/d1bm01590g
doi:

Substances chimiques

Hydrogels 0
Peptides 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2237-2247

Auteurs

Kiet A Tran (KA)

Department of Biomedical Engineering, Rowan University, Glassboro, NJ, USA. galie@rowan.edu.

Ying Jin (Y)

Department of Neurobiology and Anatomy, Drexel College of Medicine, Philadelphia, PA, USA.

Julien Bouyer (J)

Department of Neurobiology and Anatomy, Drexel College of Medicine, Philadelphia, PA, USA.

Brandon J DeOre (BJ)

Department of Biomedical Engineering, Rowan University, Glassboro, NJ, USA. galie@rowan.edu.

Łukasz Suprewicz (Ł)

Department of Medical Microbiology and Nanobiomedical Engineering, Medical University of Bialystok, Bialystok, Poland.

Ana Figel (A)

Department of Biomedical Engineering, Rowan University, Glassboro, NJ, USA. galie@rowan.edu.

Hannah Walens (H)

Department of Biomedical Engineering, Rowan University, Glassboro, NJ, USA. galie@rowan.edu.

Itzhak Fischer (I)

Department of Neurobiology and Anatomy, Drexel College of Medicine, Philadelphia, PA, USA.

Peter A Galie (PA)

Department of Biomedical Engineering, Rowan University, Glassboro, NJ, USA. galie@rowan.edu.

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Classifications MeSH