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Detection methods of mesenchymal stem cells-derived exosomes / 中国组织工程研究
Chinese Journal of Tissue Engineering Research ; (53): 2087-2094, 2020.
Article in Chinese | WPRIM | ID: wpr-847635
ABSTRACT

BACKGROUND:

Mesenchymal stem cells-derived exosomes have been applied in the diagnosis and treatment of various diseases due to its many virtues. Therefore, its accurate and effective detection with low cost is critical for disease diagnosis and treatment.

OBJECTIVE:

To introduce the detection methods and newest progress of mesenchymal stem cells-derived exosomes.

METHODS:

WanFang, Baidu Scholar, VIP, CNKI, PubMed, Web of Science, Sinomed, Embase, Cochrane and Web of Knowledge databases were retrieved for the articles concerning the detection methods of mesenchymal stem cells-derived exosomes published between June 1997 and June 2019. The keywords were “mesenchymal stem cells, exosomes, detection methods” in Chinese and English, respectively. The duplicated and poorly correlated articles were excluded, and finally 60 eligible articles were included for analysis. RESULTS AND

CONCLUSION:

(1) The definition and biological characteristics of mesenchymal stem cells are summarized, and mesenchymal stem cells have been found to treat diseases by paracrine approach. (2) The definition and biological characteristics of mesenchymal stem cells-derived exosomes and its potential clinical application are summarized, including immunoregulation in vivo and promotion of tissue regeneration. (3) The commonly used detection methods of mesenchymal stem cells-derived exosomes and the newest progress are reviewed. (4) This review provides experimental basis for the clinical application of mesenchymal stem cells-derived exosomes regarding disease treatment and tissue repair.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study Language: Chinese Journal: Chinese Journal of Tissue Engineering Research Year: 2020 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study Language: Chinese Journal: Chinese Journal of Tissue Engineering Research Year: 2020 Type: Article