Bioprinted constructs that simulate nerve–bone crosstalk to improve microenvironment for bone repair

串扰 细胞生物学 旁分泌信号 微泡 间充质干细胞 祖细胞 骨愈合 骨髓 化学 癌症研究 干细胞 免疫学 解剖 生物 医学 小RNA 受体 生物化学 物理 基因 光学
作者
Tianchang Wang,Wentao Li,Yuxin Zhang,Xiang Xu,Lei Qiang,Weiqiang Miao,Xiaokun Yue,Xin Jiao,Xianhao Zhou,Zhenjiang Ma,Shuai Li,Muliang Ding,Junfeng Zhu,Chi Yang,Hui Wang,Tao Li,Xin Sun,Jinwu Wang
出处
期刊:Bioactive Materials [Elsevier BV]
卷期号:27: 377-393 被引量:65
标识
DOI:10.1016/j.bioactmat.2023.02.013
摘要

Crosstalk between nerves and bone is essential for bone repair, for which Schwann cells (SCs) are crucial in the regulation of the microenvironment. Considering that exosomes are critical paracrine mediators for intercellular communication that exert important effects in tissue repair, the aim of this study is to confirm the function and molecular mechanisms of Schwann cell-derived exosomes (SC-exos) on bone regeneration and to propose engineered constructs that simulate SC-mediated nerve–bone crosstalk. SCs promoted the proliferation and differentiation of bone marrow mesenchymal stem cells (BMSCs) through exosomes. Subsequent molecular mechanism studies demonstrated that SC-exos promoted BMSC osteogenesis by regulating the TGF-β signaling pathway via let-7c-5p. Interestingly, SC-exos promoted the migration and tube formation performance of endothelial progenitor cells. Furthermore, the [email protected]/S constructs were developed by bioprinting technology that simulated SC-mediated nerve–bone crosstalk and improved the bone regeneration microenvironment by releasing SC-exos, exerting the regulatory effect of SCs in the microenvironment to promote innervation, vascularization, and osteogenesis and thus effectively improving bone repair in a cranial defect model. This study demonstrates the important role and underlying mechanism of SCs in regulating bone regeneration through SC-exos and provides a new engineered strategy for bone repair.
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
刚刚
搜集达人应助化简为繁采纳,获得10
刚刚
1秒前
Ava应助清脆咖啡采纳,获得10
1秒前
科研通AI6.1应助李莲花白采纳,获得10
1秒前
1秒前
企鹅啊完成签到,获得积分10
2秒前
无聊的念蕾完成签到,获得积分10
3秒前
荔枝完成签到,获得积分10
3秒前
平淡盼旋发布了新的文献求助10
3秒前
SRn嘿嘿完成签到,获得积分20
4秒前
生动梦松发布了新的文献求助400
5秒前
天天快乐应助科研通管家采纳,获得10
6秒前
ding应助科研通管家采纳,获得10
6秒前
XIAOMEI应助科研通管家采纳,获得10
6秒前
Lucas应助科研通管家采纳,获得10
6秒前
CodeCraft应助科研通管家采纳,获得10
6秒前
6秒前
完美世界应助科研通管家采纳,获得10
6秒前
6秒前
6秒前
6秒前
汉堡包应助科研通管家采纳,获得10
6秒前
6秒前
阿K米德应助科研通管家采纳,获得10
6秒前
酷波er应助科研通管家采纳,获得100
6秒前
6秒前
纸张猫猫完成签到,获得积分10
7秒前
丘比特应助舒适的幻香采纳,获得10
8秒前
9秒前
等意送汝完成签到 ,获得积分10
10秒前
10秒前
11秒前
12秒前
搜集达人应助铀氪锂锂采纳,获得10
13秒前
Verne发布了新的文献求助10
13秒前
SciGPT应助miemie采纳,获得10
14秒前
化简为繁发布了新的文献求助10
15秒前
daomaihu发布了新的文献求助100
16秒前
17秒前
高分求助中
Metallurgy at high pressures and high temperatures 2000
Tier 1 Checklists for Seismic Evaluation and Retrofit of Existing Buildings 1000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 1000
The Organic Chemistry of Biological Pathways Second Edition 1000
Signals, Systems, and Signal Processing 610
An Introduction to Medicinal Chemistry 第六版习题答案 600
Various Faces of Animal Metaphor in English and Polish 600
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6333300
求助须知:如何正确求助?哪些是违规求助? 8150026
关于积分的说明 17108860
捐赠科研通 5389041
什么是DOI,文献DOI怎么找? 2856870
邀请新用户注册赠送积分活动 1834388
关于科研通互助平台的介绍 1685309