Literature DB >> 25725550

Development of a biological scaffold engineered using the extracellular matrix secreted by skeletal muscle cells.

Shiloh A Hurd1, Nadia M Bhatti1, Addison M Walker1, Ben M Kasukonis1, Jeffrey C Wolchok2.   

Abstract

The performance of implantable biomaterials derived from decellularized tissue, including encouraging results with skeletal muscle, suggests that the extracellular matrix (ECM) derived from native tissue has promising regenerative potential. Yet, the supply of biomaterials derived from donated tissue will always be limited, which is why the in-vitro fabrication of ECM biomaterials that mimic the properties of tissue is an attractive alternative. Towards this end, our group has utilized a novel method to collect the ECM that skeletal muscle myoblasts secrete and form it into implantable scaffolds. The cell derived ECM contained several matrix constituents, including collagen and fibronectin that were also identified within skeletal muscle samples. The ECM was organized into a porous network that could be formed with the elongated and aligned architecture observed within muscle samples. The ECM material supported the attachment and in-vitro proliferation of cells, suggesting effectiveness for cell transplantation, and was well tolerated by the host when examined in-vivo. The results suggest that the ECM collection approach can be used to produce biomaterials with compositions and structures that are similar to muscle samples, and while the physical properties may not yet match muscle values, the in-vitro and in-vivo results indicate it may be a suitable first generation alternative to tissue derived biomaterials.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cell derived; Decellularized; Extracellular matrix; Scaffold; Skeletal muscle

Mesh:

Substances:

Year:  2015        PMID: 25725550      PMCID: PMC4346781          DOI: 10.1016/j.biomaterials.2015.01.027

Source DB:  PubMed          Journal:  Biomaterials        ISSN: 0142-9612            Impact factor:   12.479


  53 in total

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  9 in total

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