Literature DB >> 25209966

LCK: a new biomarker candidate for the early diagnosis of acute myocardial infarction.

Fei Xu1, Xiao Teng, Xin Yuan, Jiakang Sun, Hengchao Wu, Zhe Zheng, Yue Tang, Shengshou Hu.   

Abstract

Acute myocardial infarction (AMI) is one of the most common cardiovascular emergencies, of which the molecular pathogenesis is still not fully understood. This study aimed to explore the differentially expressed genes (DEGs) and then identify the critical genes in AMI thus screening out potential biomarkers for the early diagnosis of this serious heart disease. The gene expression data of AMI patients (GSE19339) were downloaded from gene expression omnibus database. After preprocessing with affy package, the DEGs were screened out by significance analysis of microarray (SAM) algorithm within samr package. Then function and pathway enrichment analyses of the DEGs were carried out using DAVID (database for annotation visualization and integrated discovery software) online tools. Further, the relevant genes of AMI were screened out with GENETIC_ASSOCIATION_DB_DISEASE analysis and blastp alignment. Finally, the novel genes were subjected to transcription factor and protein-protein interaction network analyses. A total of 633 DEGs, including 378 up-regulated and 255 down-regulated, were screened out between AMI patients and normal control samples. Among those genes, several important ones such as PPAR, CCL2, HMOX1 and NPR1 were demonstrated to be related to AMI. Most importantly, a novel gene LCK (lymphocyte-specific protein tyrosine kinase) was significantly differentially expressed in AMI. Further analyses showed that LCK was involved in the expression regulation of CXCL12 (chemokine (C-X-C motif) ligand 12) and the expression of LCK can be regulated by different transcription factors. In this study, we provided a new insight into the mechanism of AMI and raised LCK as an attractive marker candidate in the diagnosis of this serious heart disease.

Entities:  

Year:  2014        PMID: 25209966     DOI: 10.1007/s11033-014-3702-8

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


  42 in total

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