JIANG Yang, MA Caiyan, ZHENG Juping, XU Lin, SHENG Yang. Screen of Target Genes for Congestive Heart Failure Based on KEGG Pathway and Gene Interaction Network[J]. Chinese Journal of Modern Applied Pharmacy, 2019, 36(9): 1059-1066. DOI: 10.13748/j.cnki.issn1007-7693.2019.09.006
    Citation: JIANG Yang, MA Caiyan, ZHENG Juping, XU Lin, SHENG Yang. Screen of Target Genes for Congestive Heart Failure Based on KEGG Pathway and Gene Interaction Network[J]. Chinese Journal of Modern Applied Pharmacy, 2019, 36(9): 1059-1066. DOI: 10.13748/j.cnki.issn1007-7693.2019.09.006

    Screen of Target Genes for Congestive Heart Failure Based on KEGG Pathway and Gene Interaction Network

    • OBJECTIVE Screening genes associated with heart failure, using the DAVID pathway database and gene network to analyze the distribution and function of the target genes, to promote the research of congestive heart failure and development of new medicine. METHODS "Congestive heart failure" was used to retrieve the gene data from NCBI database. Extraction of gene enriched pathway data by used DAVID analysis tool. Analyses were made on 11 KEGG pathways enriched by 40 non redundant genes, while genes in enrichment pathways were matched with HPRD protein interaction networks at the same time. Constructed a network with the key genes in the pathway. And made comparisons between the subnetworks to screen the target genes related to congestive heart failure(CHF). RESULTS Twenty-one genes(MMP9, LMNA, DMD, EMD, AGTR1, EDNRB, NOS3 and TNF, et al) were claimed for further research. LMNA, MMP9 and AR three genes might be the important drug targets for the indirect action of CHF therapeutic drugs. CONCLUSION The pathogenesis of CHF is associated with multiple pathways such as cGMP-PKG signaling pathway, calcium signaling pathway, dilated cardiomyopathy pathway, hypertrophic cardiomyopathy pathway and so on. Twenty-one genes(MMP9, LMNA, DMD, EMD, AGTR1, EDNRB, NOS3 and TNF, et al) play important roles in CHF pathophysiology and treatment. Through gene interaction network and pathway analysis of disease associated genes, which can help to understand the molecular basis of diseases and provide a reference for new drug research and development.
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