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In silico identification of common and specific signatures in coronary heart diseases

  • Authors:
    • Zhijia Yang
    • Haifang Ma
    • Wei Liu
  • View Affiliations / Copyright

    Affiliations: The Third Department of Cardiovascular Medicine, Handan Central Hospital, Handan, Hebei 056002, P.R. China, The First Department of Cardiovascular Medicine, Affiliated Hospital of Hebei University of Technology, Handan, Hebei 056002, P.R. China, The First Department of Cardiovascular Medicine, Handan Central Hospital, Handan, Hebei 056001, P.R. China
    Copyright: © Yang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 3595-3614
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    Published online on: August 13, 2020
       https://doi.org/10.3892/etm.2020.9121
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Abstract

Coronary heart disease (CHD) is on the increase in developing countries, where lifestyle choices such as smoking, bad diet, and no exercise contribute and increase the incidence of high blood pressure and high cholesterol levels to cause CHD. Through utilization of a biomarker-based approach for developing interventions, the aim of the study was to identify differentially expressed genes (DEGs) and their association and impact on various bio-targets. The microarray datasets of both healthy and CHD patients were analyzed to identify the DEGs and their interactions using Gene Ontology, PANTHER, Reactome, and STRING (for the possible associated genes with multiple targets). Our data mining approach suggests that the DEGs were associated with molecular functions, including protein binding (75%) and catalytic activity (56%); biological processes such as cellular process (83%), biological regulation (57%), and metabolic process (44%); and cellular components such as cell (65%) and organelle (58%); as well as other associations including apoptosis, inflammatory, cell development and metabolic pathways. The molecular functions were further analyzed, and protein binding in particular was analyzed using network analysis to determine whether there was a clear association with CHD and disease. The ingenuity pathway analysis revealed pathways related to cell cholesterol biosynthesis, the immune system including cytokinin signaling, in which, the understanding of DEGs is crucial to predict the advancement of preventive strategies. Results of the present study showed that, there is a need to validate the top DEGs to rule out their molecular mechanism in heart failure caused by CHD.
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Copy and paste a formatted citation
Spandidos Publications style
Yang Z, Ma H and Liu W: In silico identification of common and specific signatures in coronary heart diseases. Exp Ther Med 20: 3595-3614, 2020.
APA
Yang, Z., Ma, H., & Liu, W. (2020). In silico identification of common and specific signatures in coronary heart diseases. Experimental and Therapeutic Medicine, 20, 3595-3614. https://doi.org/10.3892/etm.2020.9121
MLA
Yang, Z., Ma, H., Liu, W."In silico identification of common and specific signatures in coronary heart diseases". Experimental and Therapeutic Medicine 20.4 (2020): 3595-3614.
Chicago
Yang, Z., Ma, H., Liu, W."In silico identification of common and specific signatures in coronary heart diseases". Experimental and Therapeutic Medicine 20, no. 4 (2020): 3595-3614. https://doi.org/10.3892/etm.2020.9121
Copy and paste a formatted citation
x
Spandidos Publications style
Yang Z, Ma H and Liu W: In silico identification of common and specific signatures in coronary heart diseases. Exp Ther Med 20: 3595-3614, 2020.
APA
Yang, Z., Ma, H., & Liu, W. (2020). In silico identification of common and specific signatures in coronary heart diseases. Experimental and Therapeutic Medicine, 20, 3595-3614. https://doi.org/10.3892/etm.2020.9121
MLA
Yang, Z., Ma, H., Liu, W."In silico identification of common and specific signatures in coronary heart diseases". Experimental and Therapeutic Medicine 20.4 (2020): 3595-3614.
Chicago
Yang, Z., Ma, H., Liu, W."In silico identification of common and specific signatures in coronary heart diseases". Experimental and Therapeutic Medicine 20, no. 4 (2020): 3595-3614. https://doi.org/10.3892/etm.2020.9121
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