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心力衰竭相关关键基因的鉴定与分析。

Identification and analysis of mitochondria-related key genes of heart failure.

机构信息

School of Basic Medical Sciences, Shaanxi University of Chinese Medicine, Xianyang, Shaanxi, China.

School of Life Sciences, Yan'an University, Yan'an, China.

出版信息

J Transl Med. 2022 Sep 7;20(1):410. doi: 10.1186/s12967-022-03605-2.

Abstract

Mitochondria-induced cell death is a vital mechanism of heart failure (HF). Thus, identification of mitochondria-related genes (Mito-RGs) based on transcriptome sequencing data of HF might provide novel diagnostic markers and therapeutic targets for HF. First, bioinformatics analysis was conducted on the GSE57338, GSE76701, GSE136547, and GSE77399 datasets in the Gene Expression Omnibus. Next, we analyzed HF-Mito differentially expressed genes (DEGs) using the protein-protein interaction (PPI) network for obtaining critical genes and exploring their functions. Subsequently, immune cell scores of the HF and normal groups were compared. The potential alteration mechanisms of the key genes were investigated by constructing a competing endogenous RNA network. Finally, we predicted potential therapeutic agents and validated the expression levels of the key genes. Twenty-three HF-Mito DEGs were acquired in the GSE57338 dataset, and the PPI network obtained four key genes, including IFIT3, XAF1, RSAD2, and MX1. According to gene set enrichment analysis, the key genes showed high enrichment in myogenesis and hypoxia. Immune cell analysis demonstrated that aDCs, B cells, and 20 other immune cell types varied between the HF and normal groups. Moreover, we observed that H19 might affect the expression of IFIT3, AXF1, and RSAD2. PCGEM1 might regulate RSAD2 expression. A total of 515 potential therapeutic drugs targeting the key genes, such as tretinoin, silicon dioxide, and bisphenol A, were acquired. Finally, IFIT3, RSAD2, and MX1 expression increased in HF samples compared with normal samples in the GSE76701 dataset, conforming to the GSE57338 dataset analysis. This work screened four key genes, namely, IFIT3, XAF1, RSAD2, and MX1, which can be further explored in subsequent studies for their specific molecular mechanisms in HF.

摘要

线粒体诱导的细胞死亡是心力衰竭 (HF) 的重要机制。因此,基于 HF 的转录组测序数据鉴定与线粒体相关的基因 (Mito-RGs) 可能为 HF 提供新的诊断标志物和治疗靶点。首先,我们在基因表达综合数据库中对 GSE57338、GSE76701、GSE136547 和 GSE77399 数据集进行了生物信息学分析。接下来,我们使用蛋白质-蛋白质相互作用 (PPI) 网络分析 HF-Mito 差异表达基因 (DEGs),以获得关键基因并探索其功能。随后,比较了 HF 和正常组的免疫细胞评分。通过构建竞争内源性 RNA 网络,研究了关键基因的潜在变化机制。最后,我们预测了潜在的治疗药物,并验证了关键基因的表达水平。在 GSE57338 数据集中获得了 23 个 HF-Mito DEGs,PPI 网络获得了包括 IFIT3、XAF1、RSAD2 和 MX1 在内的 4 个关键基因。根据基因集富集分析,关键基因在肌生成和缺氧中表现出高富集。免疫细胞分析表明,HF 和正常组之间的 aDCs、B 细胞和 20 种其他免疫细胞类型存在差异。此外,我们观察到 H19 可能影响 IFIT3、AXF1 和 RSAD2 的表达。PCGEM1 可能调节 RSAD2 的表达。共获得了 515 种针对关键基因的潜在治疗药物,如维甲酸、二氧化硅和双酚 A 等。最后,在 GSE76701 数据集中,IFIT3、RSAD2 和 MX1 的表达在 HF 样本中高于正常样本,与 GSE57338 数据集的分析结果一致。本工作筛选出 IFIT3、XAF1、RSAD2 和 MX1 这 4 个关键基因,可进一步深入研究其在 HF 中的具体分子机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5c0/9450345/894b4a4e4061/12967_2022_3605_Fig1_HTML.jpg

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