Chinese Journal of Tissue Engineering Research ›› 2019, Vol. 23 ›› Issue (33): 5249-5255.doi: 10.3969/j.issn.2095-4344.1843

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Potential mechanisms of bone marrow stem cells in the treatment of ischemic stroke based on bioinformatics

An Taijian1, Zhang Wei2, Yang Hong2, Wang Qingfeng3   

  1. 1Department of Encephalopathy K2, 2Department of Encephalopathy K3, Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang 110032, Liaoning Province, China; 3Liaoning University of Traditional Chinese Medicine, Shenyang 110032, Liaoning Province, China
  • Revised:2019-07-02 Online:2019-11-28 Published:2019-11-28
  • Contact: Zhang Wei, MD, Associate chief physician, Department of Encephalopathy K3, Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang 110032, Liaoning Province, China; Yang Hong, Master, Attending physician, Department of Encephalopathy K3, Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang 110032, Liaoning Province, China
  • About author:An Taijian, Master, Attending physician, Department of Encephalopathy K2, Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang 110032, Liaoning Province, China
  • Supported by:

    the National Natural Science Foundation of China, No. 81703993 (to ZW)

Abstract:

BACKGROUND: Stem cell therapy has received sustained attention in the treatment of prognosis of ischemic stroke. However, little research has been done on its complex regulatory mechanism.
OBJECTIVE: To study the molecular regulatory network of stem cell therapy for ischemic stroke by bioinformatics.
METHODS: DisGeNET database was used to collect the background network of ischemic stroke, and then GEO online database was used to obtain differentially expressed genes before and after treatment with bone marrow stem cells. Gene targeting was performed in the above genes to obtain stroke-related targets. DAVID and STING databases were used to analyze the relationship between these target genes.
RESULTS AND CONCLUSION: In the DisGeNET database, there were 393 molecular targets for ischemic cerebrovascular accident regulation. Thirty-nine molecular targets were confirmed to be related to ischemic cerebrovascular accident in the data set of stem cell therapy in the GEO database. Among them, 30 were down-regulated, including FBN1, NPY, MMP10, ITGB3, and GLA; and 9 were up-regulated, including EZH2, ESR1, IL16, and LGALS2. (2) Based on the corresponding interaction relation described in String database, the above 39 targets could be obtained. There were 10 nodes with a greater node degree, namely TP53, SPP1, VCAM1, PTGS2, ESR1, F3, TIMP2, CD40, EZH2, and ITGB3. Except for up-regulated genes, ESR1 and EZH2, the others were down-regulated genes. (3) The main regulatory pathways involved in this process included: vascular shear stress regulation and relaxin signaling pathways directly acting on blood vessels; inflammatory-related signaling pathways such as IL-7, NFKB; neuroactive ligand-receptor, allograft rejection and other signaling pathways.

Key words: ischemic stroke, stem cell therapy, bone marrow mesenchymal stem cells, molecular network, bioinformatics analysis, protein interaction network, development, molecular network

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