Regenerative capacity of neural tissue scales with changes in tissue mechanics post injury.


Journal

Biomaterials
ISSN: 1878-5905
Titre abrégé: Biomaterials
Pays: Netherlands
ID NLM: 8100316

Informations de publication

Date de publication:
Dec 2023
Historique:
received: 19 12 2022
revised: 23 10 2023
accepted: 05 11 2023
medline: 4 12 2023
pubmed: 18 11 2023
entrez: 17 11 2023
Statut: ppublish

Résumé

Spinal cord injuries have devastating consequences for humans, as mammalian neurons of the central nervous system (CNS) cannot regenerate. In the peripheral nervous system (PNS), however, neurons may regenerate to restore lost function following injury. While mammalian CNS tissue softens after injury, how PNS tissue mechanics changes in response to mechanical trauma is currently poorly understood. Here we characterised mechanical rat nerve tissue properties before and after in vivo crush and transection injuries using atomic force microscopy-based indentation measurements. Unlike CNS tissue, PNS tissue significantly stiffened after both types of tissue damage. This nerve tissue stiffening strongly correlated with an increase in collagen I levels. Schwann cells, which crucially support PNS regeneration, became more motile and proliferative on stiffer substrates in vitro, suggesting that changes in tissue stiffness may play a key role in facilitating or impeding nervous system regeneration.

Identifiants

pubmed: 37977006
pii: S0142-9612(23)00401-5
doi: 10.1016/j.biomaterials.2023.122393
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

122393

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Alejandro Carnicer-Lombarte (A)

John van Geest Centre for Brain Repair, Department of Clinical Neurosciences, University of Cambridge, Cambridge, CB2 0PY, UK; Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, CB2 3DY, UK; Electrical Engineering Division, Department of Engineering, University of Cambridge, Cambridge, CB3 0FA, UK. Electronic address: ac723@cam.ac.uk.

Damiano G Barone (DG)

John van Geest Centre for Brain Repair, Department of Clinical Neurosciences, University of Cambridge, Cambridge, CB2 0PY, UK.

Filip Wronowski (F)

Electrical Engineering Division, Department of Engineering, University of Cambridge, Cambridge, CB3 0FA, UK.

George G Malliaras (GG)

Electrical Engineering Division, Department of Engineering, University of Cambridge, Cambridge, CB3 0FA, UK.

James W Fawcett (JW)

John van Geest Centre for Brain Repair, Department of Clinical Neurosciences, University of Cambridge, Cambridge, CB2 0PY, UK; Centre for Reconstructive Neuroscience, Institute for Experimental Medicine CAS, Prague, Czech Republic.

Kristian Franze (K)

Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, CB2 3DY, UK; Institute of Medical Physics and Micro-Tissue Engineering, Friedrich-Alexander Universität Erlangen-Nürnberg, 91052, Erlangen, Germany; Max-Planck-Zentrum für Physik und Medizin, 91054, Erlangen, Germany. Electronic address: kf284@cam.ac.uk.

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Classifications MeSH