Developing a mechanically matched decellularized spinal cord scaffold for the in situ matrix-based neural repair of spinal cord injury

去细胞化 PLGA公司 材料科学 脊髓损伤 生物医学工程 组织工程 脚手架 再生(生物学) 神经组织工程 再生医学 脊髓 神经干细胞 细胞生物学 干细胞 神经科学 医学 纳米技术 生物 纳米颗粒
作者
Yuan‐Huan Ma,Huijuan Shi,Qing-shuai Wei,Qingwen Deng,Jia-Hui Sun,Zhou Liu,Bi‐Qin Lai,Ge Li,Ying Ding,Wanting Niu,Yuan‐Shan Zeng,Xiang Zeng
出处
期刊:Biomaterials [Elsevier BV]
卷期号:279: 121192-121192 被引量:54
标识
DOI:10.1016/j.biomaterials.2021.121192
摘要

Tissue engineering is a promising strategy to repair spinal cord injury (SCI). However, a bioscaffold with mechanical properties that match those of the pathological spinal cord tissue and a pro-regenerative matrix that allows robust neurogenesis for overcoming post-SCI scar formation has yet to be developed. Here, we report that a mechanically enhanced decellularized spinal cord (DSC) scaffold with a thin poly (lactic-co-glycolic acid) (PLGA) outer shell may fulfill the requirements for effective in situ neuroengineering after SCI. Using chemical extraction and electrospinning methods, we successfully constructed PLGA thin shell-ensheathed DSC scaffolds (PLGA-DSC scaffolds) in a way that removed major inhibitory components while preserving the permissive matrix. The DSCs exhibited good cytocompatibility with neural stem cells (NSCs) and significantly enhanced their differentiation toward neurons in vitro. Due to the mechanical reinforcement, the implanted PLGA-DSC scaffolds showed markedly increased resilience to infiltration by myofibroblasts and the deposition of dense collagen matrix, thereby creating a neurogenic niche favorable for the targeted migration, residence and neuronal differentiation of endogenous NSCs after SCI. Furthermore, PLGA-DSC presented a mild immunogenic property but prominent ability to polarize macrophages from the M1 phenotype to the M2 phenotype, leading to significant tissue regeneration and functional restoration after SCI. Taken together, the results demonstrate that the mechanically matched PLGA-DSC scaffolds show promise for effective tissue repair after SCI.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
三次方发布了新的文献求助10
1秒前
pineapple完成签到 ,获得积分10
1秒前
嘉鑫发布了新的文献求助10
2秒前
景非关注了科研通微信公众号
4秒前
4秒前
5秒前
英姑应助Wang采纳,获得10
6秒前
机智天荷发布了新的文献求助60
6秒前
大模型应助xjx采纳,获得10
6秒前
6秒前
爆米花应助凣凢采纳,获得10
7秒前
9秒前
11秒前
12秒前
万能图书馆应助嘉鑫采纳,获得10
13秒前
天天快乐应助hy采纳,获得10
13秒前
田様应助金勇采纳,获得10
13秒前
14秒前
yangyuan完成签到,获得积分20
15秒前
16秒前
jacob完成签到,获得积分10
17秒前
tyx发布了新的文献求助10
17秒前
自由的新波完成签到,获得积分10
18秒前
18秒前
风趣元芹发布了新的文献求助10
18秒前
18秒前
19秒前
科研通AI6.2应助jocelyn采纳,获得10
20秒前
洁净艳一完成签到,获得积分10
21秒前
成梦发布了新的文献求助10
21秒前
cdercder应助xiaojia采纳,获得10
22秒前
yangyuan发布了新的文献求助10
22秒前
充电宝应助kongfu采纳,获得10
22秒前
动听衬衫发布了新的文献求助10
22秒前
徐亚楠发布了新的文献求助50
23秒前
tyx完成签到,获得积分20
23秒前
zhangjiabin发布了新的文献求助10
24秒前
25秒前
还游完成签到,获得积分10
26秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
模型平均及其应用 900
Nondestructive Testing Handbook: Vol. 4, Thermal and Infrared Testing (IR), 4th ed 800
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 590
Évora na Idade Média 555
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Structural Analysis 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7352297
求助须知:如何正确求助?哪些是违规求助? 8963567
关于积分的说明 19042572
捐赠科研通 7001344
什么是DOI,文献DOI怎么找? 3221505
关于科研通互助平台的介绍 2385916
邀请新用户注册赠送积分活动 2201920