Wang Chenfeng, Ma Hongdao, Wu Weiqing, Lu Xuhua
Department of Orthopaedics, Shanghai Changzheng Hospital, Naval Medical University, Shanghai, China.
Front Genet. 2022 Feb 25;13:799970. doi: 10.3389/fgene.2022.799970. eCollection 2022.
Spinal cord injury (SCI) and ankylosing spondylitis (AS) are common inflammatory diseases in spine surgery. However, it is a project where the relationship between the two diseases is ambiguous and the efficiency of drug discovery is limited. Therefore, the study aimed to investigate new drug therapies for SCI and AS. First, text mining was used to obtain the interacting genes related to SCI and AS, and then, the functional analysis was conducted. Protein-protein interaction (PPI) networks were constructed by STRING online and Cytoscape software to identify hub genes. Last, hub genes and potential drugs were performed after undergoing drug-gene interaction analysis, and MicroRNA and transcription factors regulatory networks were also analyzed. Two hundred five genes common to "SCI" and "AS" identified by text mining were enriched in inflammatory responses. PPI network analysis showed that 30 genes constructed two significant modules. Ultimately, nine (, , , , , , , , and ) out of 30 genes could be targetable by a total of 13 drugs. In conclusion, the novel core genes contribute to a novel insight for latent functional mechanisms and present potential prognostic indicators and therapeutic targets in SCI and AS.
脊髓损伤（SCI）和强直性脊柱炎（AS）是脊柱外科常见的炎症性疾病。然而，这是一个两种疾病之间关系尚不明确且药物研发效率有限的课题。因此，本研究旨在探索针对SCI和AS的新型药物疗法。首先，利用文本挖掘获取与SCI和AS相关的相互作用基因，然后进行功能分析。通过STRING在线工具和Cytoscape软件构建蛋白质-蛋白质相互作用（PPI）网络以识别枢纽基因。最后，在进行药物-基因相互作用分析后研究枢纽基因和潜在药物，并分析微小RNA和转录因子调控网络。通过文本挖掘确定的“SCI”和“AS”共有的205个基因在炎症反应中富集。PPI网络分析表明，30个基因构建了两个显著模块。最终，30个基因中的9个（、、、、、、、和）总共可被13种药物靶向。总之，这些新的核心基因有助于深入了解潜在的功能机制，并为SCI和AS提供潜在的预后指标和治疗靶点。
