Suppr超能文献

心血管疾病的表达谱分析

Expression profiling of cardiovascular disease.

作者信息

Archacki Stephen, Wang Qing

机构信息

Center for Molecular Genetics, Department of Molecular Cardiology, Lerner Research Institute, Cleveland, OH, USA.

出版信息

Hum Genomics. 2004 Aug;1(5):355-70. doi: 10.1186/1479-7364-1-5-355.

Abstract

Cardiovascular disease is the most important cause of morbidity and mortality in developed countries, causing twice as many deaths as cancer in the USA. The major cardiovascular diseases, including coronary artery disease (CAD), myocardial infarction (MI), congestive heart failure (CHF) and common congenital heart disease (CHD), are caused by multiple genetic and environmental factors, as well as the interactions between them. The underlying molecular pathogenic mechanisms for these disorders are still largely unknown, but gene expression may play a central role in the development and progression of cardiovascular disease. Microarrays are high-throughput genomic tools that allow the comparison of global expression changes in thousands of genes between normal and diseased cells/tissues. Microarrays have recently been applied to CAD/MI, CHF and CHD to profile changes in gene expression patterns in diseased and non-diseased patients. This same technology has also been used to characterise endothelial cells, vascular smooth muscle cells and inflammatory cells, with or without various treatments that mimic disease processes involved in CAD/MI. These studies have led to the identification of unique subsets of genes associated with specific diseases and disease processes. Ongoing microarray studies in the field will provide insights into the molecular mechanism of cardiovascular disease and may generate new diagnostic and therapeutic markers.

摘要

心血管疾病是发达国家发病和死亡的最重要原因,在美国,其导致的死亡人数是癌症的两倍。主要的心血管疾病,包括冠状动脉疾病(CAD)、心肌梗死(MI)、充血性心力衰竭(CHF)和常见先天性心脏病(CHD),是由多种遗传和环境因素以及它们之间的相互作用引起的。这些疾病潜在的分子致病机制在很大程度上仍然未知,但基因表达可能在心血管疾病的发生和发展中起核心作用。微阵列是高通量基因组工具,可用于比较正常细胞/组织与患病细胞/组织中数千个基因的整体表达变化。微阵列最近已应用于CAD/MI、CHF和CHD,以分析患病和未患病患者的基因表达模式变化。同样的技术也已用于表征内皮细胞、血管平滑肌细胞和炎症细胞,无论是否经过模拟CAD/MI相关疾病过程的各种处理。这些研究已导致鉴定出与特定疾病和疾病过程相关的独特基因子集。该领域正在进行的微阵列研究将深入了解心血管疾病的分子机制,并可能产生新的诊断和治疗标志物。

相似文献

1
Expression profiling of cardiovascular disease.
Hum Genomics. 2004 Aug;1(5):355-70. doi: 10.1186/1479-7364-1-5-355.
2
Microarray analysis of cardiovascular diseases.
Methods Mol Med. 2006;129:1-13. doi: 10.1385/1-59745-213-0:1.
4
Differential gene expression profiling in genetic and multifactorial cardiovascular diseases.
J Mol Cell Cardiol. 2006 Dec;41(6):934-48. doi: 10.1016/j.yjmcc.2006.08.009. Epub 2006 Oct 3.
6
Transcriptomic and proteomic analysis in the cardiovascular setting: unravelling the disease?
J Cardiovasc Med (Hagerstown). 2009 May;10(5):433-42. doi: 10.2459/jcm.0b013e328324e972.
7
Molecular signature analysis: using the myocardial transcriptome as a biomarker in cardiovascular disease.
Trends Cardiovasc Med. 2005 May;15(4):130-8. doi: 10.1016/j.tcm.2005.05.007.
8
Gene expression analysis of cardiovascular diseases: novel insights into biology and clinical applications.
J Am Coll Cardiol. 2006 Jul 18;48(2):227-35. doi: 10.1016/j.jacc.2006.02.070. Epub 2006 Jun 23.
10
Microarray, SAGE and their applications to cardiovascular diseases.
Cell Res. 2002 Jun;12(2):105-15. doi: 10.1038/sj.cr.7290116.

引用本文的文献

1
An Integrative Study of Aortic mRNA/miRNA Longitudinal Changes in Long-Term LVAD Support.
Int J Mol Sci. 2021 Jul 10;22(14):7414. doi: 10.3390/ijms22147414.
2
Context-specific action of macrolide antibiotics on the eukaryotic ribosome.
Nat Commun. 2021 May 14;12(1):2803. doi: 10.1038/s41467-021-23068-1.
4
Long noncoding RNA regulates endothelial cell activities associated with coronary artery disease by up-regulating , , and genes.
J Biol Chem. 2019 Mar 15;294(11):3881-3898. doi: 10.1074/jbc.RA118.005050. Epub 2019 Jan 17.
6
Coronary artery disease susceptibility gene ADTRP regulates cell cycle progression, proliferation, and apoptosis by global gene expression regulation.
Physiol Genomics. 2016 Aug 1;48(8):554-64. doi: 10.1152/physiolgenomics.00028.2016. Epub 2016 May 27.
7
Induction of high STAT1 expression in transgenic mice with LQTS and heart failure.
Biochem Biophys Res Commun. 2007 Jun 29;358(2):449-54. doi: 10.1016/j.bbrc.2007.04.119. Epub 2007 Apr 26.
8
The use of transcriptomic biomarkers for personalized medicine.
Heart Fail Rev. 2007 Mar;12(1):1-11. doi: 10.1007/s10741-007-9004-7. Epub 2007 Mar 28.
9
RNA interference: from gene silencing to gene-specific therapeutics.
Pharmacol Ther. 2005 Aug;107(2):222-39. doi: 10.1016/j.pharmthera.2005.03.004.
10
Molecular genetics of coronary artery disease.
Curr Opin Cardiol. 2005 May;20(3):182-8. doi: 10.1097/01.hco.0000160373.77190.f1.

本文引用的文献

1
Gene expression profile of the Gs-coupled prostacyclin receptor in human vascular smooth muscle cells.
Biochem Pharmacol. 2004 Feb 15;67(4):757-65. doi: 10.1016/j.bcp.2003.07.022.
2
Gene expression profile of butyrate-inhibited vascular smooth muscle cell proliferation.
Mol Cell Biochem. 2003 Dec;254(1-2):21-36. doi: 10.1023/a:1027383710582.
3
Mutation of MEF2A in an inherited disorder with features of coronary artery disease.
Science. 2003 Nov 28;302(5650):1578-81. doi: 10.1126/science.1088477.
5
Novel role for the potent endogenous inotrope apelin in human cardiac dysfunction.
Circulation. 2003 Sep 23;108(12):1432-9. doi: 10.1161/01.CIR.0000091235.94914.75. Epub 2003 Sep 8.
6
Gene expression of inflammatory molecules in circulating lymphocytes from arsenic-exposed human subjects.
Environ Health Perspect. 2003 Aug;111(11):1429-38. doi: 10.1289/ehp.6396.
7
Identification of new genes differentially expressed in coronary artery disease by expression profiling.
Physiol Genomics. 2003 Sep 29;15(1):65-74. doi: 10.1152/physiolgenomics.00181.2002.
9
Copper induces the expression of cholesterogenic genes in human macrophages.
Atherosclerosis. 2003 Jul;169(1):71-6. doi: 10.1016/s0021-9150(03)00145-x.
10
Alterations of gene expression in failing myocardium following left ventricular assist device support.
Physiol Genomics. 2003 Aug 15;14(3):251-60. doi: 10.1152/physiolgenomics.00022.2003.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验