Although more and more evidence has supported that metabolic syndrome (MS) is linked to ischemic stroke (IS), the molecular mechanism and genetic association between them has not been investigated. Here, we combined the existing single -cell RNA sequencing (scRNA-seq) data and mendelian randomization (MR) for stroke to understand the role of dysregulated metabolism in stroke. The shared hub genes were identified with machine learning and WGCNA. A total of six upregulated DEGs and five downregulated genes were selected for subsequent analyses. Nine genes were finally identified with random forest, Lasso regression, and XGBoost method as a potential diagnostic model. scRNA-seq also show the abnormal glycolysis level in most cell clusters in stroke and associated with the expression level of hub genes. The genetic relationship between IS and MS was verified with MR analysis. Our study reveals the common molecular profile and genetic association between ischemic stroke and metabolic syndrome.
基金：
Shanghai Changning District Health Commision General Project [20214Y014]; Project of Key Medical Discipline Group Construction in Shanghai Pudong New Area [PWZxq2022-13]
第一作者机构：[1]Shanghai Jiao Tong Univ, Shanghai Tongren Hosp, Dept Neurosurg, Sch Med, Shanghai, Peoples R China
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通讯作者：
推荐引用方式(GB/T 7714)：
Li Jie,Shen Sen,Yu Cong,et al.Integrated single cell-RNA sequencing and Mendelian randomization for ischemic stroke and metabolic syndrome[J].ISCIENCE.2024,27(7):doi:10.1016/j.isci.2024.110240.
APA：
Li, Jie,Shen, Sen,Yu, Cong,Sun, Shuchen&Zheng, Ping.(2024).Integrated single cell-RNA sequencing and Mendelian randomization for ischemic stroke and metabolic syndrome.ISCIENCE,27,(7)
MLA：
Li, Jie,et al."Integrated single cell-RNA sequencing and Mendelian randomization for ischemic stroke and metabolic syndrome".ISCIENCE 27..7(2024)
