杯突基因在急性心肌梗死中作用的生物信息学分析。

IF 1.4 4区 医学 Q3 CARDIAC & CARDIOVASCULAR SYSTEMS
Chunyun Fang, Shiling Sun, Wenjing Chen, Dongling Huang, Fan Wang, Wanxia Wei, Wei Wang
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引用次数: 0

摘要

背景:免疫浸润在急性心肌梗死(AMI)的病程中起着至关重要的作用。杯突症是最近发现的一种新型程序性细胞死亡。目前,还没有关于杯突基因调控急性心肌梗死中免疫浸润机制的研究。因此,本研究通过整合杯突相关基因和GEO数据库相关芯片数据,分析杯突基因与免疫浸润之间的关联,并建立风险模型:方法:利用 GSE59867 提取杯突基因表达谱。方法:使用 GSE59867 提取杯状突变基因表达谱,使用 R limma 软件包分析与 AMI 杯状突变相关的差异表达基因。根据 AMI-Cuproptosis 差异表达基因构建风险模型。通过 Coremine Medical 数据库预测 AMI 杯贫相关基因药物。利用 miRWalk、TargetScan 和 miRDB 文库预测上游 miRNA,并构建 miRNA-mRNA 网络:结果:AMI患者的杯突症相关基因(DLST、LIAS、DBT、ATP7A、LIPT1、PDHB、GCSH、DLD、DLAT)下调。有一个基因(ATP7B)在 AMI 患者中上调(PConclusions:DLST 可能是与 AMI 相关的杯突症基因,但其具体机制尚不清楚,需要在今后的研究中进一步探讨。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bioinformatics analysis of the role of cuproptosis gene in acute myocardial infarction.

Background: Immune infiltration plays a vital role in the course of acute myocardial infarction (AMI). Cuproptosis is a new type of programmed cell death discovered recently. Currently, there is no study on the mechanism of cuproptosis gene regulating immune infiltration in AMI. Therefore, by integrating cuproptosis-related genes and GEO database-related microarray data, this study analyzed the association between cuproptosis genes and immune infiltration and built a risk model.

Methods: The GSE59867 was used to extract cuproptosis gene expression profile. The R limma package was used to analyze the differentially expressed genes associated with AMI-Cuproptosis. The risk model was constructed according to AMI-cuproptosis differentially expressed genes. Prediction of AMI-cuproptosis-related gene drugs through Coremine Medical database. The upstream miRNAs were predicted using miRWalk, TargetScan, and miRDB libraries, and a miRNA-mRNA network was constructed.

Results: Cuproptosis-related genes (DLST, LIAS, DBT, ATP7A, LIPT1, PDHB, GCSH, DLD, DLAT) were down-regulated in AMI patients. One (ATP7B) gene was up-regulated in AMI patients (P<0.05). These 10 Cuproptosis-related genes were significantly associated with immune cell infiltration. Based on these 10 differential genes, the AMI risk prediction model was constructed, and the AUC value was 0.825, among which the abnormal expression of DLST was a risk factor for AMI. Additionally, we also predicted DLAT upstream miRNAs and associated drug targets, finding that 9 miRNAs were upstream of DLST.

Conclusions: DLST is a potential cuproptosis gene associated with AMI, but its specific mechanism remains unclear and requires further investigation in future studies.

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来源期刊
Minerva cardiology and angiology
Minerva cardiology and angiology CARDIAC & CARDIOVASCULAR SYSTEMS-
CiteScore
2.60
自引率
18.80%
发文量
118
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