未经证实:铁凋亡是程序性细胞死亡的一种特定亚型,在免疫相关疾病中起着至关重要的作用,动脉粥样硬化(AS)。本研究的目的是用生物信息学方法鉴定动脉粥样硬化中潜在的铁凋亡相关基因生物标志物及其与免疫浸润特征的关联。
UNASSIGNED:从GSE40231中筛选AS组和对照组之间的差异表达基因(DEGs),进行功能富集分析,然后与铁凋亡相关基因相交。然后,基于这些差异表达的铁凋亡相关基因(DE-FRGs)构建随机森林模型,并使用数据集GSE132651进行验证.用接收器工作特征曲线下面积(AUC)评估模型的性能。最后,我们通过BERSORT方法分析了上述DE-FRGs与免疫浸润特征的相关性。
未经批准:六个DE-FRG(IL6、ANGPTL7、CDKN1A、基于GSE40231的数据集检测AKR1C3、NOX4和VLDLR)。此外,在验证数据集GSE132651中,基于它们构建了一个具有令人信服的AUC=0.8974的诊断性能的随机森林模型.此外,AS组滤泡辅助性T(Tfh)细胞比例明显增高(P<0.001)。Tfh与ANGPTL7的表达水平有显著的相关性(R=0.35,P<0.01),CDKN1A(R=0.4,P<0.0001),AKR1C3(R=0.64,P<0.0001),NOX4(R=0.32,P<0.01)和VLDLR(R=-0.43,P<0.0001)。
未经评估:这项研究确定了6个DE-FRG,并验证了早期预测AS的预测模型,这也证明了铁死亡与免疫在AS发病中的密切关系。
UNASSIGNED: Ferroptosis is a specific subtype of programmed cell death, which plays an essential role in the immune-associated disease, atherosclerosis (AS). The purpose of this study was to identify potential ferroptosis-related gene biomarkers and its association with immune infiltration characteristics in atherosclerosis with bioinformatics methods.
UNASSIGNED: Differentially expressed genes (DEGs) between AS and control groups were screened from GSE40231, analyzed for functional enrichment and then intersected with ferroptosis-related genes. Then, a random forest model was constructed based on these differentially expressed ferroptosis-related genes (DE-FRGs) and validated with dataset GSE132651. The performance of the models was evaluated with the area under receiver operating characteristic curves (AUC). Finally, we analyzed the correlation between DE-FRGs above and the characteristics of immune infiltration via CIBERSORT method.
UNASSIGNED: Six DE-FRGs (IL6, ANGPTL7, CDKN1A, AKR1C3, NOX4 and VLDLR) were detected based on dataset of GSE40231. Furthermore, a random forest model was constructed based on them with a compelling diagnostic performance of AUC = 0.8974 in the validation dataset GSE132651. In addition, the proportion of follicular helper T (Tfh) cells was significantly higher in AS group (P < 0.001). And we found significant correlation relationship between Tfh and expression level of ANGPTL7 (R = 0.35, P < 0.01), CDKN1A (R = 0.4, P < 0.0001), AKR1C3 (R = 0.64, P < 0.0001), NOX4 (R = 0.32, P < 0.01) and VLDLR (R = -0.43, P < 0.0001).
UNASSIGNED: This study identified 6 DE-FRGs and validated a predicted model for the early prediction of AS, which also proved the close relationship between ferroptosis and immunity in the pathogenesis of AS.