The genetic association between major depressive disorder and coronary heart disease
Yue Shi1, Feikang Xu2, Yumei Wei1
1Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Insights
Major depressive disorder (MDD) and coronary heart disease (CHD) share genetic links, particularly involving immune function and ribosome biogenesis. These findings suggest immune pathways may contribute to the development of both conditions.
Area of Science:
- Genomics
- Cardiology
- Psychiatry
Background:
- Major depressive disorder (MDD) and coronary heart disease (CHD) are significant causes of morbidity and mortality.
- The established association between MDD and CHD necessitates further investigation into underlying mechanisms.
Purpose of the Study:
- To identify shared genetic factors and pathways implicated in both MDD and CHD.
- To explore the functional interactions of these shared genes using network analysis.
Main Methods:
- Downloaded and analyzed seven mRNA microarray datasets for MDD and CHD patients.
- Identified differentially expressed genes (DEGs) and constructed a protein-protein interaction (PPI) network.
- Performed functional enrichment analyses on overlapping DEGs.
Main Results:
- Identified 24 overlapping genes between MDD and CHD.
- Enrichment analysis revealed associations with immune function and ribosome biogenesis.
- Discovered three hub genes (MMP9, S100A8, RETN) and highlighted the IL-17 signaling pathway.
Conclusions:
- MDD and CHD exhibit a genetic association.
- Immune function genes, particularly within the IL-17 signaling pathway, may play a role in the pathogenesis of both disorders.
Abstract:
Major depressive disorder (MDD) and coronary heart disease (CHD) can both cause significant morbidity and mortality. The association of MDD and CHD has long been identified, but the mechanisms still require further investigation. Seven mRNA microarray datasets containing samples from patients with MDD and CHD were downloaded from Gene Expression Omnibus. Combined matrixes of MDD and CAD were constructed for subsequent analysis. Differentially expressed genes (DEGs) were identified. Functional enrichment analyses based on shared DEGs were conducted to identify pivotal pathways. A protein-protein network was also applied to further investigate the functional interaction. Results showed that 24 overlapping genes were identified. Enrichment analysis indicated that the shared genes are mainly associated with immune function and ribosome biogenesis. The functional interactions of shared genes were also demonstrated by PPI network analysis. In addition, three hub genes including MMP9, S100A8, and RETN were identified. Our results indicate that MDD and CHD have a genetic association. Genes relevant to immune function, especially IL-17 signalling pathway may be involved in the pathogenesis of MDD and CHD.
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