使用生物信息学分析识别免疫细胞透和有效的诊断生物标志物用于缺血性中风
Zongyong Zhang1,2,3, Zongqing Zheng1,2,3, Wenwei Luo4
1Department of Neurosurgery, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
PloS one
|December 5, 2024
概括
这项研究确定了与化相关的关键基因和与缺血性中风 (IS) 相关的免疫细胞变化. 这些发现为IS患者的早期诊断和治疗目标提供了潜在的生物标志物.
科学领域:
- 生物医学研究的研究.
- 基因组学就是基因组学.
- 免疫学 免疫学 免疫学
背景情况:
- 缺血性中风 (IS) 是全球主要的死亡和残疾原因.
- 早期诊断和标记基因的识别对于改善IS结果至关重要.
- 了解IS背后的分子机制对于开发有效的治疗方法至关重要.
研究的目的:
- 在缺血性中风中识别与ubiquitination相关的差异表达基因 (DEGs).
- 探索基因表达,信号通路和IS中的免疫细胞透之间的相关性.
- 发现IS的潜在诊断生物标志物和治疗点.
主要方法:
- 在公开基因表达数据集 (GSE22255,GSE37587) 上利用权重基因共同表达网络分析 (WGCNA).
- 应用差异基因表达分析 (limma) 和基因组丰富分析 (GSEA,GSVA).
- 构建了交互网络 (RBP-mRNA,mRNA-miRNA-lncRNA,PPI) 并进行了接收器操作特征分析.
主要成果:
- 在IS中确定了33个与ubiquitination相关的DEG和16个枢纽基因.
- 在IS患者的免疫细胞透中发现了显著的差异,具有更高水平的特定T辅助细胞,乙素和巨细胞.
- 确立了基因表达 (DHFR2,DNAAF2) 和免疫细胞透之间的相关性.
结论:
- 确定了关键的DEGs,枢纽基因,丰富的途径,以及与IS有关的免疫细胞特征.
- 这些发现突出了缺血性中风的潜在诊断标志物和治疗点.
- 需要进行进一步的研究,以阐明已识别的基因在IS病变发生过程中的功能性作用.
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