Identification and characterization of novel ferroptosis-related genes in acute myocardial infarction.

IF 3.8 3区医学 Q2 GENETICS & HEREDITY

Human Genomics Pub Date : 2024-11-13 DOI:10.1186/s40246-024-00693-7

Qiaoyu Zhou, Ruizheng Shi, Jia Liu, Zhaoya Liu

{"title":"Identification and characterization of novel ferroptosis-related genes in acute myocardial infarction.","authors":"Qiaoyu Zhou, Ruizheng Shi, Jia Liu, Zhaoya Liu","doi":"10.1186/s40246-024-00693-7","DOIUrl":null,"url":null,"abstract":"Background: Acute myocardial infarction (AMI) is a leading cause of death and morbidity worldwide. Ferroptosis, a form of regulated cell death, plays a critical role in modulating immune functions during AMI. This study aimed to identify ferroptosis-related hub genes that could serve as potential therapeutic targets in the progression of AMI.Methods: Bioinformatics was used to identify overlapping genes associated with ferroptosis and the infiltration of 22 immune cells by Cell-type Identification by Estimating Relative Subsets of RNA Transcript (CIBERSORT) analysis. The expression of ferroptosis-related genes in AMI was validated across independent datasets, clinical samples, and in vitro cellular experiments. The predictive value for heart failure was evaluated in the first dimension of principal component analysis (PCA) using receiver operating characteristic (ROC) analysis.Results: The study identified 11 key ferroptosis-related genes significantly correlated with immune cell abundance. CIBERSORT analysis highlighted immune dysregulation in AMI. JDP2, DUSP1, TLR4, NFS1, and SLC1A5 were identified as potential biomarkers for AMI progression. Additionally, JDP2, DUSP1, and DDIT4 demonstrated strong predictive value for long-term heart failure.Conclusion: This study highlights the potential association of ferroptosis-related genes with the pathogenesis of AMI, suggesting a role in the molecular mechanisms that may underlie acute coronary events.","PeriodicalId":13183,"journal":{"name":"Human Genomics","volume":"18 1","pages":"123"},"PeriodicalIF":3.8000,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11562590/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human Genomics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s40246-024-00693-7","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}

引用次数: 0

Abstract

Background: Acute myocardial infarction (AMI) is a leading cause of death and morbidity worldwide. Ferroptosis, a form of regulated cell death, plays a critical role in modulating immune functions during AMI. This study aimed to identify ferroptosis-related hub genes that could serve as potential therapeutic targets in the progression of AMI.

Methods: Bioinformatics was used to identify overlapping genes associated with ferroptosis and the infiltration of 22 immune cells by Cell-type Identification by Estimating Relative Subsets of RNA Transcript (CIBERSORT) analysis. The expression of ferroptosis-related genes in AMI was validated across independent datasets, clinical samples, and in vitro cellular experiments. The predictive value for heart failure was evaluated in the first dimension of principal component analysis (PCA) using receiver operating characteristic (ROC) analysis.

Results: The study identified 11 key ferroptosis-related genes significantly correlated with immune cell abundance. CIBERSORT analysis highlighted immune dysregulation in AMI. JDP2, DUSP1, TLR4, NFS1, and SLC1A5 were identified as potential biomarkers for AMI progression. Additionally, JDP2, DUSP1, and DDIT4 demonstrated strong predictive value for long-term heart failure.

Conclusion: This study highlights the potential association of ferroptosis-related genes with the pathogenesis of AMI, suggesting a role in the molecular mechanisms that may underlie acute coronary events.

查看原文本刊更多论文

急性心肌梗死中新型铁蛋白沉积相关基因的鉴定和特征描述

背景：急性心肌梗死（AMI）是全球死亡和发病的主要原因。铁蛋白沉积是一种调节细胞死亡的形式，在调节急性心肌梗死期间的免疫功能方面起着至关重要的作用。本研究旨在确定与铁突变相关的枢纽基因，这些基因可作为急性心肌梗死进展过程中的潜在治疗靶点：方法：通过估算RNA转录本相对子集的细胞类型鉴定（CIBERSORT）分析，使用生物信息学方法鉴定与铁沉降和22种免疫细胞浸润相关的重叠基因。在独立数据集、临床样本和体外细胞实验中验证了急性心肌梗死中铁蛋白沉积相关基因的表达。在主成分分析（PCA）的第一个维度中，利用接收者操作特征（ROC）分析评估了心衰的预测价值：结果：研究发现了 11 个与铁蛋白沉积相关的关键基因，这些基因与免疫细胞的丰度密切相关。CIBERSORT分析强调了AMI中的免疫失调。JDP2、DUSP1、TLR4、NFS1和SLC1A5被确定为AMI进展的潜在生物标志物。此外，JDP2、DUSP1 和 DDIT4 对长期心力衰竭有很强的预测价值：本研究强调了铁蛋白沉积相关基因与急性心肌梗死发病机制的潜在联系，表明这些基因在可能导致急性冠状动脉事件的分子机制中发挥作用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Human Genomics GENETICS & HEREDITY-

CiteScore

6.00

自引率

2.20%

发文量

审稿时长

11 weeks

期刊介绍： Human Genomics is a peer-reviewed, open access, online journal that focuses on the application of genomic analysis in all aspects of human health and disease, as well as genomic analysis of drug efficacy and safety, and comparative genomics. Topics covered by the journal include, but are not limited to: pharmacogenomics, genome-wide association studies, genome-wide sequencing, exome sequencing, next-generation deep-sequencing, functional genomics, epigenomics, translational genomics, expression profiling, proteomics, bioinformatics, animal models, statistical genetics, genetic epidemiology, human population genetics and comparative genomics.