Jinshi Li, Cong Yu, Liang Shu, Dabin Ren, Ping Zheng
Department of Neurology, Shanghai Pudong New Area People's Hospital, Shanghai, China.
Department of Neurosurgery, Shanghai Pudong New Area People's Hospital, Shanghai, China.
Arch Med Sci. 2024 Jan 31;20(1):321-325. doi: 10.5114/aoms/182909. eCollection 2024.
Accumulating studies have shown that copper has a detrimental effect in cells, and the cuproptosis-related gene signatures have been constructed as clinical tools to predict prognosis in tumors. However, the heterogeneity of cuproptosis has not been fully investigated in ischemic stroke.Methods: Here, we combined the bulk RNA-seq and single cell-RNA-seq data for stroke to investigate the role of cuproptosis in stroke.
We identified the cuproptosis-related differentially expressed genes (CuDEGs) in ischemic stroke. Then, we tried to find the hub genes with the machine learning method and WGCNA. We highlighted four genes identified by these methods and proposed a potential diagnostic model in ischemic stroke.
Our findings revealed cuproptosis-related hub genes, which could provide useful biomarkers in ischemic stroke.
越来越多的研究表明，铜在细胞中具有有害作用，并且与铜死亡相关的基因特征已被构建为预测肿瘤预后的临床工具。然而，铜死亡的异质性在缺血性卒中中尚未得到充分研究。
在此，我们结合了卒中的批量RNA测序和单细胞RNA测序数据，以研究铜死亡在卒中中的作用。
我们在缺血性卒中中鉴定出与铜死亡相关的差异表达基因（CuDEGs）。然后，我们尝试通过机器学习方法和加权基因共表达网络分析（WGCNA）找到核心基因。我们突出了通过这些方法鉴定出的四个基因，并提出了一种缺血性卒中的潜在诊断模型。
我们的研究结果揭示了与铜死亡相关的核心基因，这可为缺血性卒中提供有用的生物标志物。
