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英文作者:Gu Lian1 Liang Yifan2 Yang Yibing2 Liu Jing2 Zeng Wenlu2 Shen Tingting1
单位:1广西中医药大学第一附属医院脑病二区,南宁530023;2广西中医药大学,南宁530001
英文单位:1Department of Encephalopathy Division Ⅱ the First Affiliated Hospital of Guangxi University of Chinese Medicine Nanning 530023 China; 2Guangxi University of Chinese Medicine Nanning 530001 China
关键词:缺血性脑卒中;分化抑制因子3;诊断标志物;免疫细胞;基因表达的综合;分子机制
英文关键词:Ischemicstroke;Inhibitorofdifferentiation3;Diagnosticmarker;Immunecells;Geneexpressionomnibus;Molecularmechanism
目的 明确分化抑制因子3(Id3)能否作为缺血性脑卒中(IS)潜在的诊断标志物,并研究免疫细胞浸润在IS病理中的作用。方法 从基因表达综合数据库中下载IS数据集。首先使用R语言软件识别差异表达基因并进行功能相关分析。然后结合最小绝对收缩与选择算子、支持向量机的特征递减消除算法和加权基因共表达网络分析算法筛选IS的诊断标志物并进一步验证,通过受试者工作特征曲线评估标志物对IS的诊断价值。最后,利用反卷积算法评价IS组织中免疫细胞浸润情况,分析诊断标志物与浸润免疫细胞的相关性。结果 本研究总共确定了165个差异表达基因,发现Id3可能是IS的诊断标志物(受试者工作特征曲线下面积0.839,95%置信区间:0.750~0.920)。免疫细胞浸润分析表明,中性粒细胞、初始CD+4 T淋巴细胞、初始B细胞、CD+8 T淋巴细胞、静息CD+4记忆T淋巴细胞、活化CD+4记忆T淋巴细胞、静息树突状细胞、静息肥大细胞、嗜酸性粒细胞与IS的发生进展可能存在关系。结论 Id3可能是IS潜在的诊断基因,免疫细胞浸润对IS的发生发展有重要影响。
Objective To determine whether inhibitor of differentiation 3(Id3) can be used as a potential diagnostic marker in ischemic stroke(IS), and to study the role of immune cell infiltration in the pathology. Methods IS datasets were downloaded from the Gene Expression Omnibus database. Firstly, R language software was used to identify differentially expressed genes(DEGs) and perform functional correlation analysis. Secondly, combined with least absolute shrinkage and selection operator, support vector machine recursive feature elimination and weighted gene co-expression network analysis algorithms, the diagnostic markers of IS were screened and further verified. The diagnostic value of markers for IS was evaluated by the receiver operating characteristic curve. Finally, deconvolution algorithm was used to evaluate immune cell infiltration in IS tissues, and the correlation between diagnostic markers and infiltrating immune cells was analysed. Results A total of 165 DEGs were identified in this study. It was found that Id3 might be a diagnostic marker of IS(the area under the curve was 0.839, 95% confidence interval: 0.750-0.920). Analysis of immune cell infiltration indicated that neutrophils, initial CD+4 T lymphocytes, initial B cells, CD+8 T lymphocytes, resting CD+4 memory T lymphocytes, activated CD+4 memory T lymphocytes, resting dendritic cells, resting mast cells and eosinophils might be related to the occurrence and progress of IS. Conclusion Id3 may be a potential diagnostic gene for IS, and immune cell infiltration has a heavy impact on the occurrence and development of IS.
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