缺血性脑卒中性别差异的细胞死亡相关生物标志物与免疫浸润数据集

数据集获取（Figshare）

• 源站标题：DataSheet_1_Identification of cell death-related biomarkers and immune infiltration in ischemic stroke between male and female patients.xlsx
• DOI：10.3389/fimmu.2023.1164742.s001
• 发布日期：2023-06-26
• 文件数：1 个
• 文件总体积：554.77 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/DataSheet_1_Identification_of_cell_death-related_biomarkers_and_immune_infiltration_in_ischemic_stroke_between_male_and_female_patients_xlsx/23579013

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• DataSheet_1_Identification of cell death-related biomarkers and immune infiltration in ischemic stroke between male and female patients.xlsx（554.77 KB）

文件总体积 554.77 KB（源站 API 实测）。

数据说明

BackgroundStroke is the second leading cause of death and the third leading cause of disability worldwide, with ischemic stroke (IS) being the most prevalent. A substantial number of irreversible brain cell death occur in the short term, leading to impairment or death in IS. Limiting the loss of brain cells is the primary therapy target and a significant clinical issue for IS therapy. Our study aims to establish the gender specificity pattern from immune cell infiltration and four kinds of cell-death perspectives to improve IS diagnosis and therapy.
MethodsCombining and standardizing two IS datasets (GSE16561 and GSE22255) from the GEO database, we used the CIBERSORT algorithm to investigate and compare the immune cell infiltration in different groups and genders. Then, ferroptosis-related differently expressed genes (FRDEGs), pyroptosis-related DEGs (PRDEGs), anoikis-related DEGs (ARDEGs), and cuproptosis-related DEGs (CRDEGs) between the IS patient group and the healthy control group were identified in men and women, respectively. Machine learning (ML) was finally used to generate the disease prediction model for cell death-related DEGs (CDRDEGs) and to screen biomarkers related to cell death involved in IS.
ResultsSignificant changes were observed in 4 types of immune cells in male IS patients and 10 types in female IS patients compared with healthy controls. In total, 10 FRDEGs, 11 PRDEGs, 3 ARDEGs, and 1 CRDEG were present in male IS patients, while 6 FRDEGs, 16 PRDEGs, 4 ARDEGs, and 1 CRDEG existed in female IS patients. ML techniques indicated that the best diagnostic model for both male and female patients was the support vector machine (SVM) for CDRDEG genes. SVM’s feature importance analysis demonstrated that SLC2A3, MMP9, C5AR1, ACSL1, and NLRP3 were the top five feature-important CDRDEGs in male IS patients. Meanwhile, the PDK4, SCL40A1, FAR1, CD163, and CD96 displayed their overwhelming influence on female IS patients.
ConclusionThese findings contribute to a better knowledge of immune cell infiltration and their corresponding molecular mechanisms of cell death and offer distinct clinically relevant biological targets for IS patients of different ge

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fimmu.2023.1164742.s001（source: https://frontiersin.figshare.com/articles/dataset/DataSheet_1_Identification_of_cell_death-related_biomarkers_and_immune_infiltration_in_ischemic_stroke_between_male_and_female_patients_xlsx/23579013）。