{"title":"确定脊髓损伤中的特征基因及其与免疫细胞浸润的关系","authors":"Meng Lv , Yingjie Zhao , Su’e Chang , Zhengchao Gao","doi":"10.1016/j.ibneur.2024.09.002","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Early detection of spinal cord injury (SCI) is conducive to improving patient outcomes. In addition, many studies have revealed the role of immune cells in the progression or treatment of SCI. The objective of this study was to identify the early signature genes and clarify how they are related to immune cell infiltration in SCI.</div></div><div><h3>Methods</h3><div>We analysed and identified early signature genes associated with SCI via bioinformatics analysis of the GSE151371 dataset from the GEO database. These genes were subsequently verified in the GSE33886 dataset and qRT<img>PCR. Finally, the CIBERSORT algorithm was used to examine the immune cell infiltration in SCI and its relationship with signature genes.</div></div><div><h3>Results</h3><div>Seven SCI-related signature genes, including ARG1, RETN, BPI, GGH, CCNB1, HIST1H2AC, and HIST1H2BJ, were identified, and their expression was verified via an external validation cohort and qRT<img>PCR. Moreover, the ROC curves revealed the diagnostic value of these genes. In addition, on the basis of immune cell infiltration analysis, plasma cells, M0 macrophages, activated CD4+ memory T cells, γδ T cells, naive CD4+ T cells, and resting CD4+ memory T cells may participate in the progression of SCI.</div></div><div><h3>Conclusion</h3><div>This study identified seven early signature genes of SCI that may serve as biomarkers for the early diagnosis of SCI and contribute to our understanding of immune changes during the pathology of SCI.</div></div>","PeriodicalId":13195,"journal":{"name":"IBRO Neuroscience Reports","volume":null,"pages":null},"PeriodicalIF":2.0000,"publicationDate":"2024-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Identifying signature genes and their associations with immune cell infiltration in spinal cord injury\",\"authors\":\"Meng Lv , Yingjie Zhao , Su’e Chang , Zhengchao Gao\",\"doi\":\"10.1016/j.ibneur.2024.09.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Early detection of spinal cord injury (SCI) is conducive to improving patient outcomes. In addition, many studies have revealed the role of immune cells in the progression or treatment of SCI. The objective of this study was to identify the early signature genes and clarify how they are related to immune cell infiltration in SCI.</div></div><div><h3>Methods</h3><div>We analysed and identified early signature genes associated with SCI via bioinformatics analysis of the GSE151371 dataset from the GEO database. These genes were subsequently verified in the GSE33886 dataset and qRT<img>PCR. Finally, the CIBERSORT algorithm was used to examine the immune cell infiltration in SCI and its relationship with signature genes.</div></div><div><h3>Results</h3><div>Seven SCI-related signature genes, including ARG1, RETN, BPI, GGH, CCNB1, HIST1H2AC, and HIST1H2BJ, were identified, and their expression was verified via an external validation cohort and qRT<img>PCR. Moreover, the ROC curves revealed the diagnostic value of these genes. In addition, on the basis of immune cell infiltration analysis, plasma cells, M0 macrophages, activated CD4+ memory T cells, γδ T cells, naive CD4+ T cells, and resting CD4+ memory T cells may participate in the progression of SCI.</div></div><div><h3>Conclusion</h3><div>This study identified seven early signature genes of SCI that may serve as biomarkers for the early diagnosis of SCI and contribute to our understanding of immune changes during the pathology of SCI.</div></div>\",\"PeriodicalId\":13195,\"journal\":{\"name\":\"IBRO Neuroscience Reports\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2024-09-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IBRO Neuroscience Reports\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2667242124000812\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"NEUROSCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IBRO Neuroscience Reports","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2667242124000812","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0
摘要
背景脊髓损伤(SCI)的早期发现有利于改善患者的预后。此外,许多研究揭示了免疫细胞在脊髓损伤进展或治疗中的作用。方法我们通过对 GEO 数据库中的 GSE151371 数据集进行生物信息学分析,分析并确定了与 SCI 相关的早期特征基因。这些基因随后在 GSE33886 数据集和 qRTPCR 中得到了验证。结果发现了七个与 SCI 相关的特征基因,包括 ARG1、RETN、BPI、GGH、CCNB1、HIST1H2AC 和 HIST1H2BJ,并通过外部验证队列和 qRTPCR 验证了它们的表达。此外,ROC 曲线显示了这些基因的诊断价值。此外,根据免疫细胞浸润分析,浆细胞、M0 巨噬细胞、活化 CD4+ 记忆 T 细胞、γδ T 细胞、幼稚 CD4+ T 细胞和静息 CD4+ 记忆 T 细胞可能参与了 SCI 的进展。
Identifying signature genes and their associations with immune cell infiltration in spinal cord injury
Background
Early detection of spinal cord injury (SCI) is conducive to improving patient outcomes. In addition, many studies have revealed the role of immune cells in the progression or treatment of SCI. The objective of this study was to identify the early signature genes and clarify how they are related to immune cell infiltration in SCI.
Methods
We analysed and identified early signature genes associated with SCI via bioinformatics analysis of the GSE151371 dataset from the GEO database. These genes were subsequently verified in the GSE33886 dataset and qRTPCR. Finally, the CIBERSORT algorithm was used to examine the immune cell infiltration in SCI and its relationship with signature genes.
Results
Seven SCI-related signature genes, including ARG1, RETN, BPI, GGH, CCNB1, HIST1H2AC, and HIST1H2BJ, were identified, and their expression was verified via an external validation cohort and qRTPCR. Moreover, the ROC curves revealed the diagnostic value of these genes. In addition, on the basis of immune cell infiltration analysis, plasma cells, M0 macrophages, activated CD4+ memory T cells, γδ T cells, naive CD4+ T cells, and resting CD4+ memory T cells may participate in the progression of SCI.
Conclusion
This study identified seven early signature genes of SCI that may serve as biomarkers for the early diagnosis of SCI and contribute to our understanding of immune changes during the pathology of SCI.