Volume 43 Issue 6
Jun.  2022
Turn off MathJax
Article Contents
Wenqing MIAO, Yu WANG, Xiaoli ZHAO, Nini TIAN, Liying YOU. Analysis of Differential Gene Expression and Function in Peripheral Blood of Patients with Coronary Heart Disease and Acute Myocardial Infarction[J]. Journal of Kunming Medical University, 2022, 43(6): 25-34. doi: 10.12259/j.issn.2095-610X.S20220614
Citation: Wenqing MIAO, Yu WANG, Xiaoli ZHAO, Nini TIAN, Liying YOU. Analysis of Differential Gene Expression and Function in Peripheral Blood of Patients with Coronary Heart Disease and Acute Myocardial Infarction[J]. Journal of Kunming Medical University, 2022, 43(6): 25-34. doi: 10.12259/j.issn.2095-610X.S20220614

Analysis of Differential Gene Expression and Function in Peripheral Blood of Patients with Coronary Heart Disease and Acute Myocardial Infarction

doi: 10.12259/j.issn.2095-610X.S20220614
  • Received Date: 2022-03-06
    Available Online: 2022-06-07
  • Publish Date: 2022-06-30
  •   Objective  To investigate the differential gene expression and function of peripheral blood monocytes in patients with coronary heart disease and acute myocardial infarction.   Methods  Patients receiving coronary angiography in Kunming First People’s Hospital from September 2020 to September 2021 were collected and total RNA of peripheral blood monocytes was extracted. DNBSEQ platform was used for second-generation high-throughput sequencing. We tested and screened differentially expressed genes, and made KEGG and GO enrichment analysis.   Results  There were 89 differentially expressed genes, 67 up-regulated genes and 22 down-regulated genes in acute myocardial infarction group compared with normal coronary artery group. Among them, there were 14 differential lncRNAs, 72 differential mRNAs, and 3 differential circRNAs. KEGG pathway enrichment analysis, KEGG disease enrichment analysis and KEGG molecular enrichment analysis were completed. GO cell composition enrichment analysis, GO cell function enrichment analysis and GO biological process molecular enrichment analysis were completed.   Conclusions  10 mRNAs, 6 lncRNAs, and 2 circRNAs with significant differences were screened. The enrichment analysis involves infection, transcriptional disorder, PI3K Akt signaling pathway, lipid synthesis, phagocytic vesicle cavity, extracellular matrix, lipopolysaccharide binding, etc., which may be related to the occurrence and development of coronary atherosclerosis and the occurrence of acute thrombotic events.
  • loading
  • [1]
    胡盛寿,高润霖,刘力生,等. 《中国心血管病报告2018》概要[J]. 中国循环杂志.,2019,34(3):209-220.
    [2]
    Thygesen K,Alpert JS,Jaffe AS,et al. Fourth Universal Definition of Myocardial Infarction (2018)[J]. Journal of the American College of Cardiology.,2018,72(18):2231-2264. doi: 10.1016/j.jacc.2018.08.1038
    [3]
    Knorr M,Münzel T,Wenzel P. Interplay of NK cells and monocytes in vascular inflammation and myocardial infarction[J]. Front Physiol,2014,5(1):295.
    [4]
    Wirka RC,Pjanic M,Quertermous T. Advances in Transcriptomics:Investigating Cardiovascular Disease at Unprecedented Resolution[J]. Circ Res,2018,22(9):1200-1220.
    [5]
    GBD 2016 mortality collaborators. Global regional and national under-5 mortality adult mortality age specific mortality and lift expectancy 1970-2016:a systematic analysis for the Global Burden of Disease Study 2016[J]. Lancet,2017,390(10100):1084-1150. doi: 10.1016/S0140-6736(17)31833-0
    [6]
    世界卫生组织. 心血管疾病.https: //www.who.int/health-topics/cardiovascular-diseases, 2020-09-24.
    [7]
    Fabian Philipp Kreutzer,Jan Fiedler and Thomas Thum. Non-coding RNAs:key players in cardiac disease[J]. The journal of physiology.,2020,598(14):2995-3003. doi: 10.1113/JP278131
    [8]
    Ballantyne M D,McDonald R A,Baker A H. lncRNA/microRNA interactions in the vasculature[J]. Clin Pharmacol Ther,2016,99(5):494-501. doi: 10.1002/cpt.355
    [9]
    Jiangquan Liao,Jie Wang,Yongmei Liu,et al. Transcriptome sequencing of lncRNA,miRNA,mRNA and interaction network constructing in coronary heart disease[J]. BMC Medical Genomics,2019(12):124-136.
    [10]
    Salmena L,Poliseno L,Tay Y,et al. A ceRNA hypothesis:the Rosetta Stone of a hidden RNA language?[J]. Cell,2011,146(3):353-358. doi: 10.1016/j.cell.2011.07.014
    [11]
    kugel J F,Goodrich J A. The regulation of mammalian mRNA transcription by lncRNAs:recent discoveries and current concepts[J]. Epigenomics,2013,5(2):95-102.
    [12]
    Han P,Chang C P. Long non-coding RNA and chromatin remodeling[J]. RNA Biol,2015,12(3):1094-1098.
    [13]
    Manduteanu I,Simionescu M. Inflammation in atherosclerosis:a cause or a result of vascular disorders?[J]. J Cell Mol Med,2012,16(7):1978-1990.
    [14]
    Hartge M M, Unger T, Kintscher U. The endothelium and vascular inflammation in diabetes[J]. Diab Vasc Dis Res 4(2): 84-88.
    [15]
    Wu G,Cai J,Han Y,et al. LincRNA –p21 regulates neointima formation,vascular smooth muscle cell proliferation,apoptosis,and atherosclerosis by enhancing p53 activity[J]. Circulation,2014,130(3):1452-1465.
    [16]
    Tang Y,Jin X,Xiang Y,et al. The lncRNA MALAT1 protects the endothelium against ox-LDL-induced dysfunction via upregulating the expression of the miR-22-3p target genes CXCR2 and AKT[J]. FEBS Lett,2015,589(6):3189-3196.
    [17]
    Feinberg M W. No small task:therapeutic targeting of Lp(a) for cardiovascular disease[J]. Lancet,2016,388(3):2211-2212.
    [18]
    Ping Li,Xinxin Yan,Guidong Xu,et al. A novel plasma lncRNA ENST00000416361 is upregulated in coronary artery disease and is related to inflammation and lipid metabolism[J]. Molecular Medicine Reports,2020,21(10):2375-2384.
    [19]
    Elling R,Chan J,and Fitzgerald K A. Emerging role of long noncoding RNAs as regulators of innate immune cell development and inflammatory gene expression[J]. Eur J Immunol,2016,46(1):504-512.
    [20]
    Lilly P,Lichtman A H,Hansson G K. Immune effector mechanisms implicated in atherosclerosis:from mice to humans[J]. Immunity,2013,38(2):1092-1104.
    [21]
    Chen R,Kong P,Zhang F,et al. EZH2-mediated alpha-actin methylation needs lncRNA TUG1 and promotes the cortex cytoskeleton formation in VSMCs[J]. Gene,2017,616(1):52-57.
    [22]
    Covarrubias S,Robinson E K,Shapleigh B,et al. CRISPR/Cas-based screening of long non-coding RNAs(lncRNAs)in macrophages with an NF-κB reporter[J]. Journal of Biological Chemistry,2017,292(12):20911-20920.
  • Relative Articles

    [1] Shuangshuang XU, Wei ZHAO, Lei JIANG, Huajiang LIU, Fang WANG, Zhisheng TAN, Likun ZHOU. Correlation Between TyG Index,MHR and Coronary Lesions,Myocardial Ischemia in Patients with Coronary Heart Disease,and the Value of Combined Detection. Journal of Kunming Medical University, 2024, 45(3): 65-71.  doi: 10.12259/j.issn.2095-610X.S20240310
    [2] Xiaodong ZHU, Yanlong LIU, Xu ZHOU, Hailong DAI, Xiaolong YIN. Value of cMyBP-C in Clinical Diagnosis of Acute Myocardial Infarction. Journal of Kunming Medical University, 2023, 44(3): 97-102.  doi: 10.12259/j.issn.2095-610X.S20230328
    [3] Ni-ni TIAN, Hong-qing ZHANG, Min TIAN, Cai-ping LV, Bin YANG, Feng XU, Hong-jian LI, Xing-hua PAN. Clinical Characteristics and Serum Levels of Endoplasmic Reticulum Stress Factors HSP47, XBP-1S and GRP78 in Elderly Women with Acute Myocardial Infarction. Journal of Kunming Medical University, 2021, 42(4): 91-95.  doi: 10.12259/j.issn.2095-610X.S20210417
    [4] Yin ZHANG, Li-xia YANG, Yan CHEN, Jia-xua HE. Effect of Establishment of Chest Pain Center on the Treatment Efficiency of Acute Myocardial Infarction. Journal of Kunming Medical University, 2021, 42(6): 88-93.  doi: 10.12259/j.issn.2095-610X.S20210644
    [5] Zhen-lin XIE, Ya-jian FENG, Zhi-wei FAN, Dong-xing ZHANG. Expression and Significance of CARP, Myo and α1-microglobulin in Serum of Patients with Acute Myocardial Infarction. Journal of Kunming Medical University, 2021, 42(11): 128-132.  doi: 10.12259/j.issn.2095-610X.S20211123
    [6] Bin LIU, Xian-gang LI, Min ZHANG, Fang ZHOU, Ren-hua LIN, Jie YANG, Liang ZHANG, Xian-kun WANG, Ya-nan PAN. Main Influencing Factors of the Second Hospitalization of Patients with Coronary Heart Disease. Journal of Kunming Medical University, 2021, 42(6): 103-109.  doi: 10.12259/j.issn.2095-610X.S20210618
    [7] Dai Hai Long , Zhang Xing , Pan Yun , Feng Xiao Lan , Lu Xiang Ting , Guang Xue Feng , Yin Xiao Long . . Journal of Kunming Medical University, 2020, 41(04): 60-63.
    [8] Luo Lin Ping , Liu Ming Yan , Wu Xiang , Nie Lei . Correlation between ECG Changes and Coronary Angiography of Acute Myocardial Infarction. Journal of Kunming Medical University, 2017, 38(01): 113-116.
    [9] Lan Jian Jun , Wang Lin , Wang Shi Hai , Zeng Xiao Bin , Xu Da Wen , Wen Hua Zhi . . Journal of Kunming Medical University, 2017, 38(03): 47-50.
    [10] Li Lin , Li Ji Yi , Wang De Zhao , Liu Wei . 武汉地区123例冠心病患者CYP2C19基因多态性分布. Journal of Kunming Medical University, 2017, 38(06): 60-63.
    [11] Feng Yong Hong . . Journal of Kunming Medical University,
    [12] Du Juan . . Journal of Kunming Medical University, 2015, 36(04): 1-1.
    [13] Wu Jian . . Journal of Kunming Medical University,
    [14] Gao Ju Ling . . Journal of Kunming Medical University,
    [15] Li Hong Dao . . Journal of Kunming Medical University,
    [16] Chen Ting Jie . . Journal of Kunming Medical University,
    [17] Yu Mei . . Journal of Kunming Medical University,
    [18] . . Journal of Kunming Medical University,
    [19] . The Analysis of the Blood Lipids Changes and the Influencing Factors in Patients with Acute Myocardial Infarction. Journal of Kunming Medical University,
    [20] . The Analysis of Blood Lipids in Patients with Acute Myocardial Infarction. Journal of Kunming Medical University,
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(12)  / Tables(7)

    Article Metrics

    Article views (4107) PDF downloads(29) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return