A Module of Multifactor-Mediated Dysfunction Guides the Molecular Typing
of Coronary Heart Disease
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.