• 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

构建 LncRNA 介导的 ceRNA 网络,探讨心肌梗死的免疫发病机制。

Construction of LncRNA-mediated CeRNA network for investigating the immune pathogenesis of myocardial infarction.

机构信息

Cardiovascular Department, Liuzhou Traditional Chinese Medical Hospital, Liuzhou, China.

Guangxi University of Chinese Medicine, Nanning, China.

出版信息

Medicine (Baltimore). 2024 Mar 8;103(10):e37413. doi: 10.1097/MD.0000000000037413.

DOI:10.1097/MD.0000000000037413
PMID:38457553
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10919540/
Abstract

BACKGROUND

Myocardial infarction (MI) is a cardiovascular disease that seriously threatens human health. However, an immune-related competitive endogenous RNA (ceRNA) network has not been reported in MI.

METHODS

The GSE66360, GSE19339, GSE97320, GSE61741, and GSE168281 datasets were acquired from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) and differentially expressed miRNAs (DEmiRNAs) from MI patients and healthy controls were screened and an immune-related ceRNA network was constructed. Furthermore, the key long noncoding RNAs(lncRNAs) highly related to the immune mechanism of MI were identified utilizing the random walk with restart algorithm. Finally, the expression of the hub genes was further verified in the GSE66360, GSE19339, and GSE97320 datasets, and quantitativereal-time polymerase chain reaction (qRT-PCR) was performed for the MI patients and healthy controls.

RESULTS

A total of 184 differentially expressed immune-related genes(DE-IRGs) and 432 DE-miRNAs were obtained, and an immune-related ceRNA network comprising 1421 lncRNAs, 61 DE-miRNAs, and 139 DE-IRGs was constructed. According to the order of stress, betweenness, and closeness, NEAT1, KCNQ1OT1, and XIST were identified as key lncRNAs. Moreover, random walk with restart analysis also suggested that NEAT1, KCNQ1OT1, and XIST are key lncRNAs. Subsequently, a ceRNA network of 10 hub genes and 3 lncRNAs was constructed. Finally, we found that the expression of FCER1G and TYROBP significantly differed between MI patients and control individuals in the GSE66360, GSE19339, and GSE97320 datasets. qRT-PCR revealed that the expression of NEAT1, KCNQ1OT1, XIST, FCER1G, and TYROBP was significantly elevated in MI tissue samples compared to healthy control tissue samples.

CONCLUSION

NEAT1, KCNQ1OT1, XIST, FCER1G, and TYROBP are involved in MI and can be used as molecular biomarkers for the screening and diagnosis of MI. Furthermore, the immune system plays an essential role in the onset and progression of MI.

摘要

背景

心肌梗死(MI)是一种严重威胁人类健康的心血管疾病。然而,目前尚未报道 MI 中的免疫相关竞争性内源性 RNA(ceRNA)网络。

方法

从基因表达综合数据库(GEO)中获取 GSE66360、GSE19339、GSE97320、GSE61741 和 GSE168281 数据集。筛选 MI 患者和健康对照者的差异表达基因(DEGs)和差异表达 miRNA(DEmiRNAs),构建免疫相关 ceRNA 网络。此外,利用随机游走重启动算法识别与 MI 免疫机制高度相关的关键长链非编码 RNA(lncRNA)。最后,在 GSE66360、GSE19339 和 GSE97320 数据集中进一步验证枢纽基因的表达,并对 MI 患者和健康对照者进行定量实时聚合酶链反应(qRT-PCR)。

结果

获得了 184 个差异表达的免疫相关基因(DE-IRGs)和 432 个 DE-miRNAs,构建了包含 1421 个 lncRNA、61 个 DE-miRNA 和 139 个 DE-IRGs 的免疫相关 ceRNA 网络。根据顺序、介数和接近度,鉴定出 NEAT1、KCNQ1OT1 和 XIST 为关键 lncRNA。此外,随机游走重启动分析也表明,NEAT1、KCNQ1OT1 和 XIST 是关键 lncRNA。随后,构建了包含 10 个枢纽基因和 3 个 lncRNA 的 ceRNA 网络。最后,我们发现 FCER1G 和 TYROBP 在 GSE66360、GSE19339 和 GSE97320 数据集中 MI 患者和对照组之间的表达存在显著差异。qRT-PCR 显示,与健康对照组织样本相比,MI 组织样本中 NEAT1、KCNQ1OT1、XIST、FCER1G 和 TYROBP 的表达显著升高。

结论

NEAT1、KCNQ1OT1、XIST、FCER1G 和 TYROBP 参与了 MI,可作为 MI 筛查和诊断的分子标志物。此外,免疫系统在 MI 的发病和进展中起关键作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0aa/10919540/64d4c8299867/medi-103-e37413-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0aa/10919540/2fc66670352a/medi-103-e37413-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0aa/10919540/16d6648cc42a/medi-103-e37413-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0aa/10919540/ff0ae98718c7/medi-103-e37413-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0aa/10919540/5695ff703ea2/medi-103-e37413-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0aa/10919540/301257b84223/medi-103-e37413-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0aa/10919540/4346630067db/medi-103-e37413-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0aa/10919540/da4a7a7d38f0/medi-103-e37413-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0aa/10919540/d1df153b5e19/medi-103-e37413-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0aa/10919540/64d4c8299867/medi-103-e37413-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0aa/10919540/2fc66670352a/medi-103-e37413-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0aa/10919540/16d6648cc42a/medi-103-e37413-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0aa/10919540/ff0ae98718c7/medi-103-e37413-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0aa/10919540/5695ff703ea2/medi-103-e37413-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0aa/10919540/301257b84223/medi-103-e37413-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0aa/10919540/4346630067db/medi-103-e37413-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0aa/10919540/da4a7a7d38f0/medi-103-e37413-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0aa/10919540/d1df153b5e19/medi-103-e37413-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0aa/10919540/64d4c8299867/medi-103-e37413-g009.jpg

相似文献

1
Construction of LncRNA-mediated CeRNA network for investigating the immune pathogenesis of myocardial infarction.构建 LncRNA 介导的 ceRNA 网络,探讨心肌梗死的免疫发病机制。
Medicine (Baltimore). 2024 Mar 8;103(10):e37413. doi: 10.1097/MD.0000000000037413.
2
Integrated Bioinformatics and Validation of lncRNA-Mediated ceRNA Network in Myocardial Ischemia/Reperfusion Injury.整合生物信息学和 lncRNA 介导的 ceRNA 网络在心肌缺血/再灌注损伤中的验证。
J Immunol Res. 2022 Sep 21;2022:7260801. doi: 10.1155/2022/7260801. eCollection 2022.
3
Construction of lncRNA-Mediated ceRNA Network for Investigating Immune Pathogenesis of Ischemic Stroke.构建lncRNA介导的ceRNA网络以研究缺血性中风的免疫发病机制
Mol Neurobiol. 2021 Sep;58(9):4758-4769. doi: 10.1007/s12035-021-02426-6. Epub 2021 Jun 26.
4
Identification of functional lncRNAs through constructing a lncRNA-associated ceRNA network in myocardial infarction.通过构建心肌梗死中lncRNA相关的ceRNA网络来鉴定功能性lncRNA
Math Biosci Eng. 2021 May 17;18(4):4293-4310. doi: 10.3934/mbe.2021215.
5
The ceRNA Crosstalk between mRNAs and lncRNAs in Diabetes Myocardial Infarction.糖尿病心肌梗死中 mRNA 和 lncRNA 的 ceRNA 串扰。
Dis Markers. 2022 May 9;2022:4283534. doi: 10.1155/2022/4283534. eCollection 2022.
6
Identification of key regulatory molecules in the early development stage of Alzheimer's disease.鉴定阿尔茨海默病早期发育阶段的关键调节分子。
J Cell Mol Med. 2024 Mar;28(6):e18151. doi: 10.1111/jcmm.18151.
7
Upregulated lncRNA Pvt1 may be important for cardiac remodeling at the infarct border zone.上调的长链非编码 RNA Pvt1 可能对梗死边缘区的心脏重构很重要。
Mol Med Rep. 2020 Oct;22(4):2605-2616. doi: 10.3892/mmr.2020.11371. Epub 2020 Jul 28.
8
Identification of hub biomarkers of myocardial infarction by single-cell sequencing, bioinformatics, and machine learning.通过单细胞测序、生物信息学和机器学习鉴定心肌梗死的核心生物标志物
Front Cardiovasc Med. 2022 Jul 25;9:939972. doi: 10.3389/fcvm.2022.939972. eCollection 2022.
9
Construction of lncRNA-associated ceRNA networks to identify prognostic lncRNA biomarkers for glioblastoma.构建 lncRNA 相关 ceRNA 网络以鉴定胶质母细胞瘤的预后 lncRNA 生物标志物。
J Cell Biochem. 2020 Jul;121(7):3502-3515. doi: 10.1002/jcb.29625. Epub 2020 Apr 10.
10
Comprehensive evaluation of differential lncRNA and gene expression in patients with intervertebral disc degeneration.全面评估椎间盘退变患者差异 lncRNA 和基因表达。
Mol Med Rep. 2018 Aug;18(2):1504-1512. doi: 10.3892/mmr.2018.9128. Epub 2018 Jun 5.

引用本文的文献

1
Regulatory Roles of Long Noncoding RNAs in Arterial Stiffness and Hypertension.长链非编码RNA在动脉僵硬度和高血压中的调控作用
Hypertension. 2025 Jul;82(7):1195-1207. doi: 10.1161/HYPERTENSIONAHA.124.23580. Epub 2025 May 29.
2
Regulatory Roles of Long Non-Coding RNAs in Arterial Stiffness and Hypertension: Insights from Two African American Studies.长链非编码RNA在动脉僵硬度和高血压中的调节作用:两项非裔美国人研究的见解
bioRxiv. 2024 Aug 12:2024.08.11.607492. doi: 10.1101/2024.08.11.607492.