• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

生物信息学鉴定和验证心肌缺血再灌注损伤中的血管生成相关基因。

Bioinformatics Identification and Validation of Angiogenesis-Related Genes in Myocardial Ischemic Reperfusion Injury.

机构信息

Department of Preventive Medicine, Shantou University Medical College, 515041 Shantou, Guangdong, China.

Department of Cardiology, People's Hospital of Xinjin District, 611430 Chengdu, Sichuan, China.

出版信息

Front Biosci (Landmark Ed). 2024 Sep 29;29(10):347. doi: 10.31083/j.fbl2910347.

DOI:10.31083/j.fbl2910347
PMID:39473404
Abstract

BACKGROUND

Angiogenesis plays a critical protective role in myocardial ischemia-reperfusion injury (MIRI); however, therapeutic targeting of associated genes remains constrained. To bridge this gap, we conducted bioinformatics analysis to identify pivotal angiogenesis-related genes in MIRI, potentially applicable for preventive and therapeutic interventions.

METHODS

We collected two mouse heart I/R expression datasets (GSE61592 and GSE83472) from Gene Expression Omnibus, utilizing the Limma package to identify differentially expressed genes (DEGs). Angiogenesis-related genes (ARGs) were extracted from GeneCards, and their overlap with DEGs produced differentially expressed ARGs (ARDEGs). Further analyses included Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, and disease ontology to explore biological functions. Weighted gene correlation network analysis (WGCNA) was used to investigate molecular modules linked to MIRI. Additionally, a protein-protein interaction (PPI) network was constructed to pinpoint hub genes relevant to MIRI. Receiver operating characteristic curves were used to assess the diagnostic efficacy of these hub genes for MIRI. An ischemia-reperfusion injury model was established using human cardiac microvascular endothelial cells (HCMECs), with the expression of hub genes validated within this experimental framework.

RESULTS

We identified 47 ARDEGs, 41 upregulated and 6 downregulated. PPI network analysis revealed suppressor of cytokine signaling 3 (), C-X-C motif chemokine ligand 1 (), interleukin 1 beta (), and matrix metallopeptidase 9 () as hub genes. Receiver operating characteristic (ROC) curve analysis demonstrated strong diagnostic potential for , , , and . validation corroborated the mRNA and protein expression predictions.

CONCLUSIONS

Our study highlights the pivotal role of , , , and in MIRI development, their significance in immune cell infiltration, and their diagnostic accuracy. These findings offer valuable insights for MIRI diagnosis and treatment, presenting potential molecular targets for future research.

摘要

背景

血管生成在心肌缺血再灌注损伤(MIRI)中起着至关重要的保护作用;然而,相关基因的治疗靶向仍然受到限制。为了弥补这一空白,我们进行了生物信息学分析,以确定 MIRI 中关键的血管生成相关基因,这些基因可能适用于预防和治疗干预。

方法

我们从基因表达综合数据库(GEO)中收集了两个小鼠心脏 I/R 表达数据集(GSE61592 和 GSE83472),利用 Limma 包来识别差异表达基因(DEGs)。从 GeneCards 中提取血管生成相关基因(ARGs),并与 DEGs 进行重叠,得到差异表达的 ARGs(ARDEGs)。进一步的分析包括基因本体论(GO)、京都基因与基因组百科全书(KEGG)和疾病本体论(DO),以探索生物学功能。加权基因相关网络分析(WGCNA)用于研究与 MIRI 相关的分子模块。此外,构建了蛋白质-蛋白质相互作用(PPI)网络,以确定与 MIRI 相关的关键基因。受试者工作特征曲线(ROC)用于评估这些关键基因对 MIRI 的诊断效能。使用人心脏微血管内皮细胞(HCMECs)建立缺血再灌注损伤模型,在此实验框架内验证关键基因的表达。

结果

我们鉴定了 47 个 ARDEGs,其中 41 个上调,6 个下调。PPI 网络分析显示,细胞因子信号转导抑制因子 3()、C-X-C 基序趋化因子配体 1()、白细胞介素 1β()和基质金属蛋白酶 9()是关键基因。ROC 曲线分析显示,、、、对 MIRI 具有较强的诊断潜力。验证证实了 mRNA 和蛋白表达的预测。

结论

我们的研究强调了、、、在 MIRI 发展中的关键作用,以及它们在免疫细胞浸润中的重要性及其诊断准确性。这些发现为 MIRI 的诊断和治疗提供了有价值的见解,为未来的研究提供了潜在的分子靶点。

相似文献

1
Bioinformatics Identification and Validation of Angiogenesis-Related Genes in Myocardial Ischemic Reperfusion Injury.生物信息学鉴定和验证心肌缺血再灌注损伤中的血管生成相关基因。
Front Biosci (Landmark Ed). 2024 Sep 29;29(10):347. doi: 10.31083/j.fbl2910347.
2
Bioinformatics integration reveals key genes associated with mitophagy in myocardial ischemia-reperfusion injury.生物信息学整合揭示了与心肌缺血再灌注损伤中线粒体自噬相关的关键基因。
BMC Cardiovasc Disord. 2024 Mar 27;24(1):183. doi: 10.1186/s12872-024-03834-x.
3
Identification of biomarkers related to angiogenesis in myocardial ischemia-reperfusion injury and prediction of potential drugs.鉴定与心肌缺血再灌注损伤相关的血管生成生物标志物,并预测潜在药物。
PLoS One. 2024 Jun 27;19(6):e0300790. doi: 10.1371/journal.pone.0300790. eCollection 2024.
4
Molecular Mechanisms Underlying Intestinal Ischemia/Reperfusion Injury: Bioinformatics Analysis and In Vivo Validation.肠道缺血/再灌注损伤的分子机制:生物信息学分析与体内验证
Med Sci Monit. 2020 Dec 8;26:e927476. doi: 10.12659/MSM.927476.
5
Bioinformatics Analysis of Differentially Expressed Genes and Protein-Protein Interaction Networks Associated with Functional Pathways in Ulcerative Colitis.溃疡性结肠炎相关功能通路差异表达基因及蛋白互作网络的生物信息学分析。
Med Sci Monit. 2021 Jan 19;27:e927917. doi: 10.12659/MSM.927917.
6
Identification of Differentially Expressed Genes and Signaling Pathways in Acute Myocardial Infarction Based on Integrated Bioinformatics Analysis.基于整合生物信息学分析的急性心肌梗死差异表达基因及信号通路的鉴定。
Cardiovasc Ther. 2019 Aug 1;2019:8490707. doi: 10.1155/2019/8490707. eCollection 2019.
7
Identification and analysis of key genes associated with acute myocardial infarction by integrated bioinformatics methods.基于整合生物信息学方法鉴定和分析与急性心肌梗死相关的关键基因。
Medicine (Baltimore). 2021 Apr 16;100(15):e25553. doi: 10.1097/MD.0000000000025553.
8
Integrated Bioinformatics-Based Identification and Validation of Neuroinflammation-Related Hub Genes in Primary Open-Angle Glaucoma.基于整合生物信息学的原发性开角型青光眼神经炎症相关枢纽基因的鉴定和验证。
Int J Mol Sci. 2024 Jul 26;25(15):8193. doi: 10.3390/ijms25158193.
9
Identification of potential biomarkers of gout through weighted gene correlation network analysis.通过加权基因相关网络分析鉴定痛风的潜在生物标志物。
Front Immunol. 2024 Apr 15;15:1367019. doi: 10.3389/fimmu.2024.1367019. eCollection 2024.
10
Global Transcriptomic Profiling of Cortex and Striatum: Cerebral Injury after Ischemia/Reperfusion in a Mouse Model.皮质和纹状体的全转录组分析:小鼠缺血/再灌注后的脑损伤
J Stroke Cerebrovasc Dis. 2017 Jul;26(7):1622-1634. doi: 10.1016/j.jstrokecerebrovasdis.2017.02.017. Epub 2017 Apr 21.

引用本文的文献

1
Value of Bioinformatics Models for Predicting Translational Control of Angiogenesis.生物信息学模型在预测血管生成翻译控制方面的价值。
Circ Res. 2025 May 9;136(10):1147-1165. doi: 10.1161/CIRCRESAHA.125.325438. Epub 2025 May 8.