您好，欢迎访问中国热带农业科学院 机构知识库！
中国热带农业科学院机构知识库

全部

  • 全部
  • 标题
  • 学者
  • 机构
  • 关键词

Myocardial infarction unveiled: Key miRNA players screened by a novel lncRNA-miRNA-mRNA network model

文献类型： 外文期刊

作者： Zhan, Chaoying 1 ; Liu, Kai 3 ; Zhang, Yuxin 1 ; Zhang, Yingbo 1 ; He, Mengqiao 1 ; Wu, Rongrong 1 ; Bi, Cheng 1 ; Shen, Bairong 1 ;

作者机构： 1.Sichuan Univ, West China Hosp, Frontiers Sci Ctr Dis Related Mol Network, Dept Cardiol, Chengdu 610212, Sichuan, Peoples R China

2.Sichuan Univ, West China Hosp, Inst Syst Genet, Frontiers Sci Ctr Dis Related Mol Network, Chengdu 610212, Sichuan, Peoples R China

3.Sichuan Univ, West China Hosp, Dept Cardiol, Chengdu 610041, Sichuan, Peoples R China

4.Chinese Acad Trop Agr Sci, Trop Crops Genet Resources Inst, Haikou 571101, Hainan, Peoples R China

关键词： Myocardial infarction; Disease -related miRNA discovery; Network characteristics; lncRNA-miRNA-mRNA network; Multi-omics analysis

期刊名称：COMPUTERS IN BIOLOGY AND MEDICINE （ 影响因子：7.7； 五年影响因子：6.9 ）

ISSN： 0010-4825

年卷期： 2023 年 160 卷

页码：

收录情况： SCI

摘要： Background: Myocardial infarction (MI) is a major contributor to global mortality, and microRNAs (miRNAs) are important in its pathogenesis. Identifying blood miRNAs with clinical application potential for the early detec-tion and treatment of MI is crucial. Methods: We obtained MI-related miRNA and miRNA microarray datasets from MI Knowledge Base (MIKB) and Gene Expression Omnibus (GEO), respectively. A new feature called target regulatory score (TRS) was proposed to characterize the RNA interaction network. MI-related miRNAs were characterized using TRS, transcription factor (TF) gene proportion (TFP), and ageing-related gene (AG) proportion (AGP) via the lncRNA-miRNA-mRNA network. A bioinformatics model was then developed to predict MI-related miRNAs, which were verified by literature and pathway enrichment analysis.Results: The TRS-characterized model outperformed previous methods in identifying MI-related miRNAs. MI -related miRNAs had high TRS, TFP, and AGP values, and combining the three features improved prediction accuracy to 0.743. With this method, 31 candidate MI-related miRNAs were screened from the specific-MI lncRNA-miRNA-mRNA network, associated with key MI pathways like circulatory system processes, inflamma-tory response, and oxygen level adaptation. Most candidate miRNAs were directly associated with MI according to literature evidence, except hsa-miR-520c-3p and hsa-miR-190b-5p. Furthermore, CAV1, PPARA and VEGFA were identified as MI key genes, and were targeted by most of the candidate miRNAs.Conclusions: This study proposed a novel bioinformatics model based on multivariate biomolecular network analysis to identify putative key miRNAs of MI, which deserve further experimental and clinical validation for translational applications.

  • 相关文献
作者其他论文 更多>>
置顶
购物车
反馈

© 京ICP备09089781号-29 主办单位：中国热带农业科学院

学术资源： 中国农业科学院 农业专业知识服务系统 农科联盟资源共建共享平台 中国农业科技文献与信息服务平台 中国农业期刊集成服务平台