Collagen scaffolds modified with collagen-binding bFGF promotes the neural regeneration in a rat hemisected spinal cord injury modelReport as inadecuate




Collagen scaffolds modified with collagen-binding bFGF promotes the neural regeneration in a rat hemisected spinal cord injury model - Download this document for free, or read online. Document in PDF available to download.

Science China Life Sciences

, Volume 57, Issue 2, pp 232–240

First Online: 20 January 2014Received: 10 August 2013Accepted: 21 October 2013DOI: 10.1007-s11427-014-4612-7

Cite this article as: Shi, Q., Gao, W., Han, X. et al. Sci. China Life Sci. 2014 57: 232. doi:10.1007-s11427-014-4612-7

Abstract

Nerve conduit is one of strategies for spine cord injury SCI treatment. Recently, studies showed that biomaterials could guide the neurite growth and promote axon regeneration at the injury site. However, the scaffold by itself was difficult to meet the need of SCI functional recovery. The basic fibroblast growth factor bFGF administration significantly promotes functional recovery after organ injuries. Here, using a rat model of T9 hemisected SCI, we aimed at assessing the repair capacity of implantation of collagen scaffold CS modified by collagen binding bFGF CBD-bFGF. The results showed that CS combined with CBD-bFGF treatment improved survival rates after the lateral hemisection SCI. The CS-CBD-bFGF group showed more significant improvements in motor than the simply CS-implanted and untreated control group, when evaluated by the 21-point Basso-Beattie-Bresnahan BBB score and footprint analysis. Both hematoxylin and eosin HandE and immunohistochemical staining of neurofilament NF and glial fibrillary acidic protein GFAP demonstrated that fibers were guided to grow through the implants. These findings indicated that administration of CS modified with CBD-bFGF could promote spinal cord regeneration and functional recovery.

Keywordscollagen scaffold basic fibroblast growth factor spinal cord injury nerve regeneration This article is published with open access at link.springer.com

Contributed equally to this work

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Author: Qin Shi - Wei Gao - XingLong Han - XueSong Zhu - Jie Sun - Fang Xie - XiangLin Hou - HuiLin Yang - JianWu Dai - Liang Ch

Source: https://link.springer.com/



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