Three-Dimensional Bioprinting in Soft Tissue Engineering for Plastic and Reconstructive Surgery

作者
Astrid Bülow,Benedikt Schäfer,Justus P. Beier
出处
期刊:Bioengineering [Multidisciplinary Digital Publishing Institute]
卷期号:10 (10): 1232-1232 被引量:15
标识
DOI:10.3390/bioengineering10101232
摘要

Skeletal muscle tissue engineering (TE) and adipose tissue engineering have undergone significant progress in recent years. This review focuses on the key findings in these areas, particularly highlighting the integration of 3D bioprinting techniques to overcome challenges and enhance tissue regeneration. In skeletal muscle TE, 3D bioprinting enables the precise replication of muscle architecture. This addresses the need for the parallel alignment of cells and proper innervation. Satellite cells (SCs) and mesenchymal stem cells (MSCs) have been utilized, along with co-cultivation strategies for vascularization and innervation. Therefore, various printing methods and materials, including decellularized extracellular matrix (dECM), have been explored. Similarly, in adipose tissue engineering, 3D bioprinting has been employed to overcome the challenge of vascularization; addressing this challenge is vital for graft survival. Decellularized adipose tissue and biomimetic scaffolds have been used as biological inks, along with adipose-derived stem cells (ADSCs), to enhance graft survival. The integration of dECM and alginate bioinks has demonstrated improved adipocyte maturation and differentiation. These findings highlight the potential of 3D bioprinting techniques in skeletal muscle and adipose tissue engineering. By integrating specific cell types, biomaterials, and printing methods, significant progress has been made in tissue regeneration. However, challenges such as fabricating larger constructs, translating findings to human models, and obtaining regulatory approvals for cellular therapies remain to be addressed. Nonetheless, these advancements underscore the transformative impact of 3D bioprinting in tissue engineering research and its potential for future clinical applications.

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
刚刚
hha发布了新的文献求助10
刚刚
仪圆完成签到,获得积分10
1秒前
Yangyang完成签到,获得积分10
1秒前
1秒前
1秒前
NexusExplorer应助懵懂的柚子采纳,获得10
2秒前
共享精神应助飘逸灵薇采纳,获得10
2秒前
竺七完成签到 ,获得积分10
2秒前
lyb发布了新的文献求助10
3秒前
3秒前
李宏梅完成签到,获得积分10
3秒前
神龙大冲冠军完成签到,获得积分10
3秒前
细心静芙发布了新的文献求助50
3秒前
共工完成签到 ,获得积分10
3秒前
julia发布了新的文献求助10
3秒前
大个应助潇洒的亦凝采纳,获得10
4秒前
张博完成签到,获得积分20
4秒前
4秒前
4秒前
5秒前
武宁完成签到,获得积分20
5秒前
ppt发布了新的文献求助10
5秒前
5秒前
Parsee应助ty采纳,获得10
5秒前
万能图书馆应助Mrdu采纳,获得10
6秒前
fyt发布了新的文献求助30
6秒前
银玥发布了新的文献求助10
6秒前
6秒前
wxy发布了新的文献求助10
6秒前
6秒前
认真的不评应助江米条采纳,获得10
6秒前
6秒前
李文豪发布了新的文献求助10
6秒前
naruto完成签到,获得积分10
7秒前
7秒前
Rui完成签到,获得积分10
7秒前
烟花应助小L采纳,获得10
7秒前
科研小鱼发布了新的文献求助10
8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
Römisch-Germanische Forschungen 1000
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 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 7609082
求助须知:如何正确求助?哪些是违规求助? 9184723
关于积分的说明 19674002
捐赠科研通 7182846
什么是DOI,文献DOI怎么找? 3270109
关于科研通互助平台的介绍 2433789
邀请新用户注册赠送积分活动 2264604