4.7 Review

Tissue Engineering Strategies for Intervertebral Disc Treatment Using Functional Polymers

期刊

POLYMERS
卷 11, 期 5, 页码 -

出版社

MDPI
DOI: 10.3390/polym11050872

关键词

tissue engineering; functional polymers; intervertebral disc; degenerative disc; regeneration

资金

  1. Bio & Medical Technology Development Program of the National Research Foundation of Korea (NRF) - Ministry of Science, ICT and Future Planning and Korea government (MSIT) [NRF-2016M3A9B4919711, NRF-2017M3A9E9073680, 2018R1C1B6002333]
  2. National Research Foundation of Korea [2018R1C1B6002333] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

向作者/读者索取更多资源

Intervertebral disc (IVD) is the fibrocartilage between the vertebrae, allowing the spine to move steadily by bearing multidirectional complex loads. Aging or injury usually causes degeneration of IVD, which is one of the main reasons for low back pain prevalent worldwide and reduced quality of life. While various treatment strategies for degenerative IVD have been studied using in vitro studies, animal experiments, and clinical trials, there are unsolved limitations for endogenous regeneration of degenerative IVD. In this respect, several tissue engineering strategies that are based on the cell and scaffolds have been extensively researched with positive outcomes for regeneration of IVD tissues. Scaffolds made of functional polymers and their diverse forms mimicking the macro- and micro-structure of native IVD enhance the biological and mechanical properties of the scaffolds for IVD regeneration. In this review, we discuss diverse morphological and functional polymers and tissue engineering strategies for endogenous regeneration of degenerative IVD. Tissue engineering strategies using functional polymers are promising therapeutics for fundamental and endogenous regeneration of degenerative IVD.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据