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. 2020 Mar 6;8(5):854-863.
doi: 10.12998/wjcc.v8.i5.854.

Repair Mechanism of Astrocytes and Non-Astrocytes in Spinal Cord Injury

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Free PMC article

Repair Mechanism of Astrocytes and Non-Astrocytes in Spinal Cord Injury

Xiang-Yun Liu et al. World J Clin Cases. .
Free PMC article

Abstract

Background: Spinal cord injury (SCI) is a destructive disease that incurs huge personal and social costs, and there is no effective treatment. Although the pathogenesis and treatment mechanism of SCI has always been a strong scientific focus, the pathogenesis of SCI is still under investigation.

Aim: To determine the key genes based on the modularization of in-depth analysis, in order to identify the repair mechanism of astrocytes and non-astrocytes in SCI.

Methods: Firstly, the differences between injured and non-injured spinal cord of astrocyte (HA), injured and non-injured spinal cord of non-astrocyte (FLOW), injured spinal cord of non-injured astrocyte (HA) and non-injured spinal cord of non-astrocyte (FLOW), and non-injured spinal cord of astrocyte (HA) and non-astrocyte (FLOW) were analyzed. The total number of differentially expressed genes was obtained by merging the four groups of differential results. Secondly, the genes were co-expressed and clustered. Then, the enrichment of GO function and KEGG pathway of module genes was analyzed. Finally, non-coding RNA, transcription factors and drugs that regulate module genes were predicted using hypergeometric tests.

Results: In summary, we obtained 19 expression modules involving 5216 differentially expressed genes. Among them, miR-494, XIST and other genes were differentially expressed in SCI patients, and played an active regulatory role in dysfunction module, and these genes were recognized as the driving genes of SCI. Enrichment results showed that module genes were significantly involved in the biological processes of inflammation, oxidation and apoptosis. Signal pathways such as NF-kappa B/A20, AMPK and MAPK were significantly regulated. In addition, non-coding RNA pivot (including miR-136-5p and let-7d-5p, etc.) and transcription factor pivot (including NFKB1, MYC, etc.) were identified as significant regulatory dysfunction modules.

Conclusion: Overall, this study uncovered a co-expression network of key genes involved in astrocyte and non-astrocyte regulation in SCI. These findings helped to reveal the core dysfunction modules, potential regulatory factors and driving genes of the disease, and to improve our understanding of its pathogenesis.

Keywords: Astrocyte; Dysfunction module; Module genes; Non-astrocyte; Repair mechanism; Spinal cord injury.

Conflict of interest statement

Conflict-of-interest statement: The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Synergistic expression of differentially expressed genes in patients with spinal cord injury. A: Nineteen expression groups were identified as modules, and nineteen colors represented nineteen expression modules; B: The expression thermograms of all genes in the samples were clustered into 19 expression modules; C: Each row represents a module, and each column represents a phenotype. The color of each cell is mapped by the corresponding correlation coefficient. The values range from - 1 to 1, and the color changes from blue to white, then to red. The deeper the color, the stronger the correlation.
Figure 2
Figure 2
Functional and pathway enrichment analysis of modular genes. GO functional enrichment analysis of module genes (excerpts). From blue to purple, the enrichment increased significantly. The larger the circle, the larger the proportion of module genes in GO functional entry genes.
Figure 3
Figure 3
Path analysis of the integrated module network.

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