Suppr超能文献

将牙齿干细胞应用于临床以促进骨再生。

Sinking Our Teeth in Getting Dental Stem Cells to Clinics for Bone Regeneration.

机构信息

Department of Natural Sciences, Bonn-Rhein-Sieg University of Applied Sciences, von-Liebig- Strasse. 20, 53359 Rheinbach, Germany.

出版信息

Int J Mol Sci. 2021 Jun 15;22(12):6387. doi: 10.3390/ijms22126387.

Abstract

Dental stem cells have been isolated from the medical waste of various dental tissues. They have been characterized by numerous markers, which are evaluated herein and differentiated into multiple cell types. They can also be used to generate cell lines and iPSCs for long-term in vitro research. Methods for utilizing these stem cells including cellular systems such as organoids or cell sheets, cell-free systems such as exosomes, and scaffold-based approaches with and without drug release concepts are reported in this review and presented with new pictures for clarification. These in vitro applications can be deployed in disease modeling and subsequent pharmaceutical research and also pave the way for tissue regeneration. The main focus herein is on the potential of dental stem cells for hard tissue regeneration, especially bone, by evaluating their potential for osteogenesis and angiogenesis, and the regulation of these two processes by growth factors and environmental stimulators. Current in vitro and in vivo publications show numerous benefits of using dental stem cells for research purposes and hard tissue regeneration. However, only a few clinical trials currently exist. The goal of this review is to pinpoint this imbalance and encourage scientists to pick up this research and proceed one step further to translation.

摘要

从各种牙科组织的医疗废物中分离出了牙髓干细胞。它们已经通过许多标记物进行了特征描述,本文对这些标记物进行了评估,并将其分化为多种细胞类型。它们还可用于生成细胞系和 iPSCs,以进行长期的体外研究。本文综述了利用这些干细胞的方法,包括细胞系统(如类器官或细胞片)、无细胞系统(如外泌体)以及有和没有药物释放概念的支架方法,并提供了新的图片以作说明。这些体外应用可以部署在疾病建模和随后的药物研究中,也为组织再生铺平了道路。本文的主要重点是评估牙髓干细胞在成骨和血管生成方面的潜力,以及生长因子和环境刺激物对这两个过程的调节,从而探讨其在硬组织再生方面的潜力,尤其是在骨骼方面。目前的体外和体内出版物表明,使用牙髓干细胞进行研究和硬组织再生有许多好处。然而,目前只有少数临床试验。本文的目的是指出这种不平衡,并鼓励科学家们开展这项研究,并进一步推进转化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2375/8232184/effb284ceaf7/ijms-22-06387-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验