The transcriptome of circulating cells indicates potential biomarkers and therapeutic targets in the course of hypertension-related myocardial infarction.
The transcriptome of circulating cells indicates potential biomarkers and therapeutic targets in the course of hypertension-related myocardial infarction.
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循环细胞的转录组揭示了高血压相关心肌梗死过程中潜在的生物标志物和治疗靶点
DOI：
10.1016/j.gendis.2020.01.007
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发表时间：
2021-07
期刊：
影响因子：
6.8
通讯作者：
Xu B
中科院分区：
文献类型：
--
作者：
Wei Z;Yang Y;Li Q;Yin Y;Wei Z;Zhang W;Mu D;Ni J;Sun X;Xu B
高血压(HT)是最常见的公共卫生挑战，在世界范围内呈高发病率。心血管疾病是美国老年人(65岁)死亡和发病的主要原因。现在，人们普遍接受了高血压和急性心肌梗死(MI)之间的因果联系。这是第一次数据挖掘研究，以确定在高血压和心肌梗死(相对于正常对照)之间共表达的差异表达基因(co-degs)，并揭示与高血压相关的心肌梗死的潜在生物标志物和治疗靶点。在这篇手稿中，经过数据整合和批量校正，在基因表达总括(GEO)数据库GSE24752、GSE60993、GSE62646和GSE24548中鉴定了HT特异的DEG和MI特异的DEG和差异表达的microRNAs(DE-miRNAs)。随后，确定了基因本体论(GO)术语和京都基因和基因组百科全书(KEGG)途径以及蛋白质-蛋白质相互作用网络的浓缩，并进行了单基因基因集浓缩分析，以确定受影响的生物类别和网络。对co-DE-miRNAs与预测的针对codegs的miRNAs的结果进行了交叉匹配，并进行了讨论。我们发现MYC和HIST1H2BO可能与HT有关，而FCGR1A、FYN、KLRD1、KLRB1和FOLR3可能与MI有关。此外，FOLR3和NFE2与预测的miRNAs和DE-miRNAs，特别是miR-7和miR-548可能存在显著的相关性，并显示出巨大的潜力，成为一组新的生物标志物和高血压相关心肌梗死过程中的重要分子靶点。
Hypertension (HT) is the most common public-health challenge and shows a high incidence around the world. Cardiovascular diseases are the leading cause of mortality and morbidity among the elderly (age > 65 years) in the United States. Now, there is widespread acceptance of the causal link between HT and acute myocardial infarction (MI). This is the first data-mining study to identify co-expressed differentially expressed genes (co-DEGs) between HT and MI (relative to normal control) and to uncover potential biomarkers and therapeutic targets of HT-related MI. In this manuscript, HT-specific DEGs and MI-specific DEGs and differentially expressed microRNAs (DE-miRNAs) were identified in Gene Expression Omnibus (GEO) datasets GSE24752, GSE60993, GSE62646, and GSE24548 after data consolidation and batch correction. Subsequently, enrichment in Gene Ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways as well as protein–protein interaction networks were identified, and single-gene gene set enrichment analysis was performed to determine the affected biological categories and networks. Cross-matching of the results on co-DE-miRNAs and predicted miRNAs targeting the co-DEGs was conducted and discussed as well. We found that MYC and HIST1H2BO may be associated with HT, whereas FCGR1A, FYN, KLRD1, KLRB1, and FOLR3 may be implicated in MI. Moreover, co-DEGs FOLR3 and NFE2 with predicted miRNAs and DE-miRNAs, especially miR-7 and miR-548, may be significantly associated and show huge potential as a new set of novel biomarkers and important molecular targets in the course of HT-related MI.
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