4.6 Article

Cardiac Transcriptome Analysis Reveals Nr4a1 Mediated Glucose Metabolism Dysregulation in Response to High-Fat Diet

期刊

GENES
卷 11, 期 7, 页码 -

出版社

MDPI
DOI: 10.3390/genes11070720

关键词

cardiac transcriptome analysis; high-fat diet; Nr4a1; glucose metabolism

资金

  1. General Program of National Natural Science Foundation of China [81570253]
  2. Education Department of Jilin Province [JJKH20201033KJ]
  3. Health and Family Planning Commission of Jilin Province [2015Z040]

向作者/读者索取更多资源

Obesity is associated with an increased risk of developing cardiovascular disease (CVD), with limited alterations in cardiac genomic characteristics known. Cardiac transcriptome analysis was conducted to profile gene signatures in high-fat diet (HFD)-induced obese mice. A total of 184 differentially expressed genes (DEGs) were identified between groups. Based on the gene ontology (GO) term enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of DEGs, the critical role of closely interlocked glucose metabolism was determined in HFD-induced cardiac remodeling DEGs, includingNr4a1,Fgf21,Slc2a3,Pck1,Gck,Hmgcs2, andBpgm. Subsequently, the expression levels of these DEGs were evaluated in both the myocardium and palmitic acid (PA)-stimulatedH9c2cardiomyocytes using qPCR.Nr4a1was highlighted according to its overexpression resulting from the HFD. Additionally, inhibition ofNr4a1by siRNA reversed the PA-induced altered expression of glucose metabolism-related DEGs and hexokinase 2 (HK2), the rate-limiting enzyme in glycolysis, thus indicating thatNr4a1could modulate glucose metabolism homeostasis by regulating the expression of key enzymes in glycolysis, which may subsequently influence cardiac function in obesity. Overall, we provide a comprehensive understanding of the myocardium transcript molecular framework influenced by HFD and proposeNr4a1as a key glucose metabolism target in obesity-induced CVD.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据