title: Interaction network analysis revealed biomarkers in myocardial infarction.
abstract: Myocardial infarction (MI) is a serious heart disease. The cardiac cells of patients with MI will die due to lack of blood for a long time. In this study, we aimed to find new targets for MI diagnosis and therapy. We downloaded GSE22229 including 12 blood samples from healthy persons and GSE29111 from Gene Expression Omnibus including 36 blood samples from MI patients. Then we identified differentially expressed genes (DEGs) in patients with MI compared to normal controls with p value < 0.05 and |logFC| > 1. Furthermore, interaction network and sub-network of these of these DEGs were constructed by NetBox. Linker genes were screened in the Global Network database. The degree of linker genes were calculated by igraph package in R language. Gene ontology and kyoto encyclopedia of genes and genomes pathway analysis were performed for DEGs and network modules. A total of 246 DEGs were identified in MI, which were enriched in the immune response. In the interaction network, LCK, CD247, CD3D, FYN, HLA-DRA, IL2, CD8A CD3E, CD4, CD3G had high degree, among which CD3E, CD4, CD3G were DEGs while others were linker genes screened from Global Network database. Genes in the sub-network were also enriched in the immune response pathway. The genes with high degree may be biomarkers for MI diagnosis and therapy.
authors.affiliation: Department of Cardiology, The Fourth Affiliated Hospital of Harbin Medical University, No. 37 Yiyuan Street of Nangang District, Harbin, 150001, Heilongjiang Province, China.
authors.forename: Tong
authors.initials: T
authors.lastname: Zhang
authors.forename: Li-Li
authors.initials: LL
authors.lastname: Zhao
authors.forename: Zhuo-Ran
authors.initials: ZR
authors.lastname: Zhang
authors.forename: Pei-De
authors.initials: PD
authors.lastname: Fu
authors.forename: Zhen-Dong
authors.initials: ZD
authors.lastname: Su
authors.forename: Li-Chun
authors.initials: LC
authors.lastname: Qi
authors.forename: Xue-Qi
authors.initials: XQ
authors.lastname: Li
authors.forename: Yu-Mei
authors.initials: YM
authors.lastname: Dong
mesh_terms: D015415:Biomarkers / Q000378:metabolism*; D016000:Cluster Analysis; D019295:Computational Biology; D020869:Gene Expression Profiling; D005786:Gene Expression Regulation / Q000235:genetics* / Q000276:immunology; D063990:Gene Ontology; D006801:Humans; D046228:Microarray Analysis; D009203:Myocardial Infarction / Q000235:genetics* / Q000276:immunology / Q000378:metabolism*; D025941:Protein Interaction Mapping
chemical_list: D015415:Biomarkers
references.citation: Am J Physiol Heart Circ Physiol. 2000 Jul;279(1):H422-8
references.pmid: 10899082
references.citation: Circ Res. 2000 May 12;86(9):939-45
references.pmid: 10807865
references.citation: J Am Coll Cardiol. 2013 Feb 5;61(5):533-5
references.pmid: 23369418
references.citation: Circulation. 2013 May 21;127(20):2006-8
references.pmid: 23616628
references.citation: J Clin Invest. 2010 Jun;120(6):1836-47
references.pmid: 20501946
references.citation: J Clin Invest. 1995 Jan;95(1):46-54
references.pmid: 7814645
references.citation: Int Immunol. 1989;1(5):546-50
references.pmid: 2484963
references.citation: OMICS. 2012 May;16(5):284-7
references.pmid: 22455463
references.citation: Atherosclerosis. 2003 May;168(1):73-80
references.pmid: 12732389
references.citation: PLoS One. 2010 Feb 12;5(2):e8918
references.pmid: 20169195
references.citation: Genome Biol. 2004;5(10):R80
references.pmid: 15461798
references.citation: Adv Exp Med Biol. 2013;735:207-18
references.pmid: 23402029
references.citation: Nature. 2009 Apr 16;458(7240):899-903
references.pmid: 19219027
references.citation: Nature. 1987 Nov 19-25;330(6145):256-9
references.pmid: 2823150
references.citation: Haematologica. 2013 Jul;98(7):1030-8
references.pmid: 23403317
references.citation: Am Heart J. 1994 May;127(5):1226-30
references.pmid: 8172050
references.citation: Circulation. 2004 May 11;109(18):2186-90
references.pmid: 15117853
references.citation: J Biol Chem. 2003 Jan 17;278(3):1910-4
references.pmid: 12417590
references.citation: Nat Med. 2013 Oct;19(10):1273-80
references.pmid: 24037091
references.citation: Int J Cardiol. 2012 Mar 22;155(3):372-7
references.pmid: 21078527
references.citation: Nat Genet. 2005 May;37(5):486-94
references.pmid: 15821736
references.citation: Genome Res. 2003 Nov;13(11):2498-504
references.pmid: 14597658
references.citation: Bioinformatics. 2007 Dec 15;23(24):3406-8
references.pmid: 17875544
references.citation: Immunogenetics. 2001 Mar;53(2):130-5
references.pmid: 11345589
references.citation: Transplant Proc. 2013 Mar;45(2):787-91
references.pmid: 23498821
references.citation: BMC Genomics. 2008 May 16;9:225
references.pmid: 18485203
references.citation: FASEB J. 2013 Mar;27(3):871-81
references.pmid: 23159933
references.citation: J Am Coll Cardiol. 2000 Sep;36(3):959-69
references.pmid: 10987628
references.citation: Nat Genet. 2004 Mar;36(3):233-9
references.pmid: 14770184
references.citation: Proc Natl Acad Sci U S A. 2011 Feb 1;108(5):2064-9
references.pmid: 21245320
references.citation: Gene Ther. 2013 Nov;20(11):1053-61
references.pmid: 23759702
references.citation: Circulation. 2013 Mar 5;127(9):980-7
references.pmid: 23362315
references.citation: Nat Med. 2000 Apr;6(4):429-34
references.pmid: 10742150