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A Module of Multifactor-Mediated Dysfunction Guides the Molecular Typing of Coronary Heart Disease
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  • Tucheng Huang,
  • Yuewei Li,
  • Maohuan Lin,
  • Kangjie Wang,
  • Wenli Gu,
  • Guanghao Gao,
  • Yuna Huang,
  • Yangxin Chen,
  • Huiying Zhao,
  • Jingfeng Wang
Tucheng Huang
Sun Yat-Sen Memorial Hospital
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Yuewei Li
Sun Yat-Sen Memorial Hospital
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Maohuan Lin
Sun Yat-Sen Memorial Hospital
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Kangjie Wang
Sun Yat-sen University First Affiliated Hospital
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Wenli Gu
Sun Yat-Sen Memorial Hospital
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Guanghao Gao
Sun Yat-Sen Memorial Hospital
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Yuna Huang
Sun Yat-Sen Memorial Hospital
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Yangxin Chen
Sun Yat-Sen Memorial Hospital
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Huiying Zhao
Sun Yat-Sen University
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Jingfeng Wang
Sun Yat-Sen University
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Abstract

Molecular typing results are not routinely used for CHD. Aiming to uncover the underlying molecular features for different types of CHD, we screened the differentially expressed genes (DEGs) associated with CHD based on the GEO data and expanded in the NCBI-gene and OMIM databases to finally obtain 2021 DEGs. Then the weighted gene co-expression analysis (WGCNA) was performed on the candidate genes, and 6 distinctive WGCNA modules were identified, 2 of which were associated with CHD. Moreover, DEGs were mined as key genes for co-expression based on the module network relationship. Furthermore, the differential miRNAs of CHD and interactions in the database were mined in the GEO dataset to build a multi-factor regulatory network of key genes for co-expression. Combined these results, the CHD samples were further classified into 5 clusters by using the module core genes, and we defined FTH1, HCAR3, RGS2, S100A9 and TYROBP 5 genes in different subgroups. Finally, FTH1, S100A9 and TYROBP were significantly increased while HCAR3 decreased in mRNA level in CHD patients’ blood where RGS2 was hardly determined. In conclusion, the screened core clusters of genes may be potential target for diagnosis and treatment of CHD as a molecular typing module.