Mesenchymal Stem Cells for Regenerative Medicine

Paper

Abstract

In recent decades, the biomedical applications of mesenchymal stem cells (MSCs) have attracted increasing attention. MSCs are easily extracted from the bone marrow, fat, and synovium, and differentiate into various cell lineages according to the requirements of specific biomedical applications. As MSCs do not express significant histocompatibility complexes and immune stimulating molecules, they are not detected by immune surveillance and do not lead to graft rejection after transplantation. These properties make them competent biomedical candidates, especially in tissue engineering. We present a brief overview of MSC extraction methods and subsequent potential for differentiation, and a comprehensive overview of their preclinical and clinical applications in regenerative medicine, and discuss future challenges.

Analysis

Paper intelligence

Summary

This paper reviews the extraction, differentiation potential, and applications of mesenchymal stem cells (MSCs) in regenerative medicine, highlighting their immunomodulatory properties and potential in tissue engineering.

Key findings

MSCs are easily extracted from various sources and can differentiate into multiple cell types.
MSCs exhibit low immunogenicity, reducing the risk of graft rejection.
MSCs are promising candidates for tissue engineering applications.
The paper provides an overview of MSC preclinical and clinical applications.

Methods

Overview of MSC extraction methods.
Discussion of MSC differentiation potential.
Review of preclinical and clinical applications.

Limitations

Future challenges in MSC application are discussed.

Applications

Regenerative medicine
Tissue engineering
Treatment of diseases and injuries (implied)

Confidence100%

Discovery

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Source record

Publication metadata

Authors: Yu Han; Xuezhou Li; Yanbo Zhang; Yanbo Zhang; Yuping Han; Jianxun Ding
Published: Aug 13, 2019
Journal or venue: Cells
DOI: 10.3390/cells8080886
Paper type: journal article
Source: Openalex

DOI OpenAlex