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腹主动脉瘤中差异表达的铁死亡相关基因的鉴定:生物信息学分析

Identification of differentially expressed ferroptosis-related genes in abdominal aortic aneurysm: Bioinformatics analysis.

作者信息

Wang Kun, Song Yancheng, Li Hong, Song Jianshu, Wang Shizhong

机构信息

Department of Cardiovascular Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.

Department of Gastrointestinal Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.

出版信息

Front Cardiovasc Med. 2022 Sep 29;9:991613. doi: 10.3389/fcvm.2022.991613. eCollection 2022.

Abstract

PURPOSE

Ferroptosis plays a crucial role in the development and progression of abdominal aortic aneurysm (AAA). The aim of this study was to identify differentially expressed genes associated with ferroptosis in AAA through bioinformatics analysis combined with experimental validation.

MATERIALS AND METHODS

Firstly, the mRNA expression profile datasets GSE57691 and GSE47472 from Gene Expression Omnibus database were screened, and principal component analysis was carried out. Next, the R software (version 4.0.0) was used to analyze potentially differentially expressed genes associated with AAA and ferroptosis. Subsequently, protein-protein interaction analysis, gene ontology enrichment analysis, and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis were performed on the selected candidate genes. Finally, quantitative real-time polymerase chain reaction (qRT-PCR) was used to detect the expression levels of the first five selected abnormal ferroptosis-related genes in clinical samples obtained from patients with AAA and healthy controls.

RESULTS

Based on the information contained in the two datasets, a total of 20 differentially expressed ferroptosis-related genes (three upregulated genes and 17 downregulated genes) were selected. Protein-protein interaction analysis demonstrated interaction between these genes, while gene ontology enrichment analysis of ferroptosis genes with differential expression indicated that some enrichment items were associated with oxidative stress. The qRT-PCR results showed that the expression levels of interleukin-6 (IL-6), peroxiredoxin 1 (PRDX1), and stearoyl-CoA desaturase (SCD) were consistent with the bioinformatics prediction results obtained from the mRNA chip.

CONCLUSION

Bioinformatics analysis identified 20 potential ferroptosis-related differentially expressed genes in AAA. Further verification by qRT-PCR showed that IL-6, PRXD1, and SCD might affect the process of AAA by regulating ferroptosis. Our results might assist in further understanding the pathogenesis of AAA and guiding treatment.

摘要

目的

铁死亡在腹主动脉瘤(AAA)的发生和发展中起关键作用。本研究旨在通过生物信息学分析结合实验验证,鉴定与AAA中铁死亡相关的差异表达基因。

材料与方法

首先,从基因表达综合数据库筛选出mRNA表达谱数据集GSE57691和GSE47472,并进行主成分分析。接下来,使用R软件(版本4.0.0)分析与AAA和铁死亡相关的潜在差异表达基因。随后,对选定的候选基因进行蛋白质-蛋白质相互作用分析、基因本体富集分析和京都基因与基因组百科全书通路富集分析。最后,采用定量实时聚合酶链反应(qRT-PCR)检测从AAA患者和健康对照者获得的临床样本中前五个选定的异常铁死亡相关基因的表达水平。

结果

基于两个数据集中包含的信息,共筛选出20个与铁死亡相关的差异表达基因(3个上调基因和17个下调基因)。蛋白质-蛋白质相互作用分析表明这些基因之间存在相互作用,而对差异表达的铁死亡基因进行的基因本体富集分析表明,一些富集条目与氧化应激相关。qRT-PCR结果显示,白细胞介素-6(IL-6)、过氧化物酶1(PRDX1)和硬脂酰辅酶A去饱和酶(SCD)的表达水平与从mRNA芯片获得的生物信息学预测结果一致。

结论

生物信息学分析鉴定出AAA中20个潜在的与铁死亡相关的差异表达基因。qRT-PCR进一步验证表明,IL-6、PRXD1和SCD可能通过调节铁死亡影响AAA的进程。我们的结果可能有助于进一步了解AAA的发病机制并指导治疗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c28/9558826/d65aa2095222/fcvm-09-991613-g001.jpg

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