Fabrication of Decellularized Cartilage-derived Matrix Scaffolds.


Journal

Journal of visualized experiments : JoVE
ISSN: 1940-087X
Titre abrégé: J Vis Exp
Pays: United States
ID NLM: 101313252

Informations de publication

Date de publication:
07 01 2019
Historique:
entrez: 22 1 2019
pubmed: 22 1 2019
medline: 1 2 2020
Statut: epublish

Résumé

Osteochondral defects lack sufficient intrinsic repair capacity to regenerate functionally sound bone and cartilage tissue. To this extent, cartilage research has focused on the development of regenerative scaffolds. This article describes the development of scaffolds that are completely derived from natural cartilage extracellular matrix, coming from an equine donor. Potential applications of the scaffolds include producing allografts for cartilage repair, serving as a scaffold for osteochondral tissue engineering, and providing in vitro models to study tissue formation. By decellularizing the tissue, the donor cells are removed, but many of the natural bioactive cues are thought to be retained. The main advantage of using such a natural scaffold in comparison to a synthetically produced scaffold is that no further functionalization of polymers is required to drive osteochondral tissue regeneration. The cartilage-derived matrix scaffolds can be used for bone and cartilage tissue regeneration in both in vivo and in vitro settings.

Identifiants

pubmed: 30663687
doi: 10.3791/58656
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Video-Audio Media

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Kim E M Benders (KEM)

Department of Orthopedics, University Medical Center Utrecht, The Netherlands.

Margo L Terpstra (ML)

Department of Orthopedics, University Medical Center Utrecht, The Netherlands.

Riccardo Levato (R)

Department of Orthopedics, University Medical Center Utrecht, The Netherlands.

Jos Malda (J)

Department of Orthopedics, University Medical Center Utrecht, The Netherlands; Department of Veterinary Medicine, Equine Surgery, University of Utrecht, The Netherlands; J.Malda@umcutrecht.nl.

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Classifications MeSH