The present research focused on identifying necroptosis‐related differentially expressed genes (NRDEGs) in spinal cord injury (SCI) to highlight potential therapeutic and prognostic target genes in clinical SCI. Three SCI‐related datasets were downloaded, including GSE151371, GSE5296 and GSE47681. MSigDB and KEGG datasets were searched for necroptosis‐related genes (NRGs). Differentially expressed genes (DEGs) and NRGs were intersected to obtain NRDEGs. The MCC algorithm was employed to select the first 10 genes as hub genes. A protein–protein interaction (PPI) network related to NRDEGs was developed utilizing STRING. Several databases were searched to predict interactions between hub genes and miRNAs, transcription factors, potential drugs, and small molecules. Immunoassays were performed to identify DEGs using CIBERSORTx. Additionally, qRT‐PCR was carried out to verify NRDEGs in an animal model of SCI. Combined analysis of all datasets identified 15 co‐expressed DEGs and NRGs. GO and KEGG pathway analyses highlighted DEGs mostly belonged to pathways associated with necroptosis and apoptosis. Hub gene expression analysis showed high accuracy in SCI diagnosis was associated with the expression of CHMP7 and FADD. A total of two hub genes, i.e. CHMP7, FADD, were considered potential targets for SCI therapy.

中文翻译：

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坏死性凋亡途径成为脊髓损伤的潜在诊断标志物

目前的研究重点是鉴定脊髓损伤（SCI）中与坏死性凋亡相关的差异表达基因（NRDEG），以突出临床 SCI 中潜在的治疗和预后靶基因。下载了三个 SCI 相关数据集，包括 GSE151371、GSE5296 和 GSE47681。在 MSigDB 和 KEGG 数据集中搜索坏死性凋亡相关基因 (NRG)。将差异表达基因（DEG）和NRG相交以获得NRDEG。采用MCC算法选择前10个基因作为中心基因。利用 STRING 开发了与 NRDEG 相关的蛋白质-蛋白质相互作用 (PPI) 网络。研究人员搜索了多个数据库来预测中枢基因与 miRNA、转录因子、潜在药物和小分子之间的相互作用。使用 CIBERSORTx 进行免疫测定来鉴定 DEG。此外，还进行了 qRT-PCR 来验证 SCI 动物模型中的 NRDEG。对所有数据集的综合分析确定了 15 个共表达的 DEG 和 NRG。 GO和KEGG通路分析强调DEG大多属于与坏死性凋亡和细胞凋亡相关的通路。 Hub 基因表达分析显示 SCI 诊断的高准确性与以下基因的表达相关：CHMP7 和 FADD。共有两个hub基因，即CHMP7、FADD、被认为是 SCI 治疗的潜在靶点。