Scalable Fabrication of Porous Microchannel Nerve Guidance Scaffolds with Complex Geometries.

3D printing nerve guidance scaffolds nerve repair porous fibers thermal drawing

Journal

Advanced materials (Deerfield Beach, Fla.)
ISSN: 1521-4095
Titre abrégé: Adv Mater
Pays: Germany
ID NLM: 9885358

Informations de publication

Date de publication:
Jul 2019
Historique:
received: 30 03 2019
revised: 15 05 2019
pubmed: 7 6 2019
medline: 7 6 2019
entrez: 7 6 2019
Statut: ppublish

Résumé

Microchannel scaffolds accelerate nerve repair by guiding growing neuronal processes across injury sites. Although geometry, materials chemistry, stiffness, and porosity have been shown to influence nerve growth within nerve guidance scaffolds, independent tuning of these properties in a high-throughput manner remains a challenge. Here, fiber drawing is combined with salt leaching to produce microchannels with tunable cross sections and porosity. This technique is applicable to an array of biochemically inert polymers, and it delivers hundreds of meters of porous microchannel fibers. Employing these fibers as filaments during 3D printing enables the production of microchannel scaffolds with geometries matching those of biological nerves, including branched topographies. Applied to sensory neurons, fiber-based porous microchannels enhance growth as compared to non-porous channels with matching materials and geometries. The combinatorial scaffold fabrication approach may advance the studies of neural regeneration and accelerate the development of nerve repair devices.

Identifiants

pubmed: 31168865
doi: 10.1002/adma.201902021
pmc: PMC6663568
mid: NIHMS1034729
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e1902021

Subventions

Organisme : NINDS NIH HHS
ID : R01 NS086804
Pays : United States
Organisme : National Institute of Neurological Disorders and Stroke
ID : 5R01NS086804
Organisme : U.S. Army Research Office through the Institute for Soldier Nanotechnologies
ID : W911NF-13-D-0001
Organisme : National Science Foundation Center for Materials Science and Engineering
ID : DMR-1419807
Organisme : NSF Center for Neurotechnology
ID : EEC-1028725

Informations de copyright

© 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Auteurs

Dena Shahriari (D)

Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.

Gabriel Loke (G)

Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.

Ian Tafel (I)

Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Department of Neurosurgery, Brigham and Women's Hospital, Boston, MA, 02115, USA.

Seongjun Park (S)

Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.

Po-Han Chiang (PH)

Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.

Yoel Fink (Y)

Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Institute for Soldier Nanotechnologies, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Advanced Functional Fabrics of America, Cambridge, MA, 02139, USA.

Polina Anikeeva (P)

Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.

Classifications MeSH