The formation of glial scars can stabilize the spread of secondary injury, but also prevents the regeneration of axons ( 2- 6). With the development of spinal cord edema and inflammation, necrosis and apoptosis of neurons and glial cells spread to tissues outside the injury center. Physical injury leads to hemorrhage and swelling of the injured spinal cord, ischemia, anoxia, and necrosis of neurons and glial cells. According to the latest statistics, SCI affects more than 27.04 million people worldwide ( 1). With the development of transportation and the prevalence of extreme sports, the incidence of SCI continues to increase. Severe injury to the spinal cord is accompanied by serious conduction obstacles of up and down pathways. As an important part of the CNS, spinal cord injury (SCI) is a common cause of disability. In terms of self-healing ability, the central nervous system (CNS) is the most deficient system. Keywords: Spinal cord injury (SCI) weighted gene co-expression network analysis (WGCNA) chronic stage bioinformatics analysis Immune infiltration analysis revealed that CD8+ T cells, macrophages, neutrophils, plasmacytoid dendritic cells, helper T cells, Th2 cells, and tumor-infiltrating lymphocytes may be involved in the SCI process.Ĭonclusions: There were significant differences among the five hub genes ( CXCL10, IRF7, MX1, RSAD2, and STAT1) of the brown module, which may be potential diagnostic and prognostic markers of SCI, and immune cell infiltration may play an important role in the chronic stage of SCI. Furthermore, C-X-C motif chemokine ligand 10 ( CXCL10), myxovirus (influenza virus) resistance 1 ( MX1), signal transducer and activator of transcription 1 ( STAT1), interferon regulatory factor 7 ( IRF7) and radical S-adenosyl methionine domain containing 2 ( RSAD2) were identified as the hub genes in the PPI and Venn diagram network, and verified by qRT-PCR. The brown module was considered to be the most critical module for the chronic stage of SCI, which contained 775 genes that were primarily associated with various biological processes, including extracellular structure organization, lysosome, isoprenoid biosynthesis, response to nutrients, response to wounding, sulfur compound metabolic process, cofactor metabolic process, and ossification. Results: In total, 14,402 genes and seven modules were identified. Correlation analysis was also carried out between hub genes and immune infiltration. Quantitative real-time polymerase chain reaction (QRT-PCR) was used to quantify the degree of the top five candidate genes. The protein-protein interaction (PPI) network and Venn diagram were constructed to identify hub genes. Methods: The gene expression profiles GEO Series (GSE)45006 and GEO Series (GSE)2599 were downloaded, and the co-expression network modules were identified by the WGCNA package. In this study, weighted gene co-expression network analysis (WGCNA) was used to clarify specific modules and hub genes that associated with SCI. Policy of Dealing with Allegations of Research Misconductīackground: The process of spinal cord injury involves acute, subacute, and chronic stages however, the specific pathological mechanism remains unclear.Policy of Screening for Plagiarism Process.
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