开发并验证用于诊断急性斯坦福 A 型主动脉夹层的 6 个基因特征,这些特征来自 RNA 修饰相关基因。

IF 1.8 4区 医学 Q3 CARDIAC & CARDIOVASCULAR SYSTEMS
Ting-Ting Zhang, Qun-Gen Li, Zi-Peng Li, Wei Chen, Chang Liu, Hai Tian, Jun-Bo Chuai
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引用次数: 0

摘要

背景:急性斯坦福A型主动脉夹层(ATAAD)是一种危重急症,具有显著的发病率和死亡率。本研究旨在确定与ATAAD相关的特定基因表达模式和RNA修饰:方法:GSE153434 数据集来自基因表达总库(GEO)数据库。方法:从基因表达总库(GEO)数据库获取 GSE153434 数据集,进行差异表达分析,以确定与 ATAAD 相关的差异表达基因(DEGs)。为了验证RNA修饰是否参与了ATAAD,研究人员从基因卡片(GeneCards)中获取了RNA修饰相关基因(M6A、M1A、M5C、APA、A-to-I),然后进行了最小绝对收缩和选择操作器(LASSO)回归分析。建立了由关键基因组成的基因预测特征,并使用实时 PCR 验证了临床样本中的基因表达。然后将患者分为高风险组和低风险组,并进行富集分析,包括基因本体(GO)、京都基因和基因组百科全书(KEGG)、基因组富集分析(GSEA)、基因组变异分析(GSVA)和免疫浸润评估。为了探索基因与表型的关系并确定关键基因,还进行了共表达网络分析(WGCNA):结果:共获得 45 个 RNA 修饰基因。结果:共获得了45个RNA修饰基因,其中6个基因(YTHDC1、WTAP、CFI、ADARB1、ADARB2、TET3)被用于ATAAD的诊断和风险分层。富集分析表明,炎症和细胞外基质通路可能参与了 ATAAD 的进展。将 GSE147026 数据集中的相关基因纳入六基因特征进一步验证了该模型的有效性。在ATAAD组中,WTAP、ADARB2和TET3的表达明显上调,而YTHDC1则出现了明显的下调:六基因特征可作为预测 ATAAD 诊断的有效模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development and validation of a 6-gene signature derived from RNA modification-associated genes for the diagnosis of Acute Stanford Type A Aortic Dissection.

Background: Acute Stanford Type A Aortic Dissection (ATAAD) is a critical medical emergency characterized by significant morbidity and mortality. This study aims to identify specific gene expression patterns and RNA modification associated with ATAAD.

Methods: The GSE153434 dataset was obtained from the Gene Expression Omnibus (GEO) database. Differential expression analysis was conducted to identify differential expression genes (DEGs) associated with ATAAD. To validate the involvement of RNA modification in ATAAD, RNA modification-related genes (M6A, M1A, M5C, APA, A-to-I) were acquired from GeneCards, following by Least Absolute Shrinkage and Selection Operator (LASSO) regression analysis. A gene prediction signature consisting of key genes was established, and Real-time PCR was used to validate the gene expression in clinical samples. The patients were then divided into high and low-risk groups, and subsequent enrichment analysis, including Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), Gene Set Enrichment Analysis (GSEA), Gene Set Variation Analysis (GSVA), and assessments of immune infiltration. A co-expression network analysis (WGCNA) was performed to explore gene-phenotype relationships and identify key genes.

Results: A total of 45 RNA modification genes were acquired. Six gene signatures (YTHDC1, WTAP, CFI, ADARB1, ADARB2, TET3) were developed for ATAAD diagnosis and risk stratification. Enrichment analysis suggested the potential involvement of inflammation and extracellular matrix pathways in the progression of ATAAD. The incorporation of pertinent genes from the GSE147026 dataset into the six-gene signature further validated the model's effectiveness. A significant upregulation in WTAP, ADARB2, and TET3 expression, whereas YTHDC1 exhibited a noteworthy downregulation in the ATAAD group.

Conclusion: Six-gene signature could serve as an efficient model for predicting the diagnosis of ATAAD.

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来源期刊
Journal of Geriatric Cardiology
Journal of Geriatric Cardiology CARDIAC & CARDIOVASCULAR SYSTEMS-GERIATRICS & GERONTOLOGY
CiteScore
3.30
自引率
4.00%
发文量
1161
期刊介绍: JGC focuses on both basic research and clinical practice to the diagnosis and treatment of cardiovascular disease in the aged people, especially those with concomitant disease of other major organ-systems, such as the lungs, the kidneys, liver, central nervous system, gastrointestinal tract or endocrinology, etc.
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