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Interaction network analysis revealed biomarkers in myocardial infarction

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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.

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Acknowledgments

The fund of the Provincial Health Department of Heilongjiang Province (project number 2011-170). The Science and Technology Youth foundation of Heilongjiang Province (project number QC2012C129). The fund of the Administration of Traditional Chinese Medicine of Heilongjiang Province (project number ZHY12-Z148). We wish to express our warm thanks to Fenghe (Shanghai) Information Technology Co., Ltd. Their ideas and help gave a valuable added dimension to our research.

Conflict of interest

All authors declare that they have no conflict of interest.

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Authors and Affiliations

  1. Department of Cardiology, The Fourth Affiliated Hospital of Harbin Medical University, No. 37 Yiyuan Street of Nangang District, Harbin, 150001, Heilongjiang Province, China

    Tong Zhang, Zhen-Dong Su, Li-Chun Qi, Xue-Qi Li & Yu-Mei Dong

  2. Department of Gastroenterology, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, 150001, Heilongjiang Province, China

    Li-Li Zhao

  3. Department of Pharmacy, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, 150001, Heilongjiang Province, China

    Zhuo-Ran Zhang

  4. Radiology Department, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, 150001, Heilongjiang Province, China

    Pei-De Fu

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  1. Tong Zhang
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Correspondence to Yu-Mei Dong.

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Zhang, T., Zhao, LL., Zhang, ZR. et al. Interaction network analysis revealed biomarkers in myocardial infarction. Mol Biol Rep 41, 4997–5003 (2014). https://doi.org/10.1007/s11033-014-3366-4

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  • DOI: https://doi.org/10.1007/s11033-014-3366-4

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