Abstract
BackgroundA multidirectional relationship has been demonstrated between myocardial infarction (MI) and depression. However, the causal genetic factors and molecular mechanisms underlying this interaction remain unclear. The main purpose of this study was to identify potential candidate genes for the interaction between the two diseases.MethodsUsing a bioinformatics approach and existing gene expression data in the biomedical discovery support system (BITOLA), we defined the starting concept X as “Myocardial Infarction” and end concept Z as “Major Depressive Disorder” or “Depressive disorder”. All intermediate concepts relevant to the “Gene or Gene Product” for MI and depression were searched. Gene expression data and tissue-specific expression of potential candidate genes were evaluated using the Human eFP (electronic Fluorescent Pictograph) Browser, and intermediate concepts were filtered by manual inspection.ResultsOur analysis identified 128 genes common to both the “MI” and “depression” text mining concepts. Twenty-three of the 128 genes were selected as intermediates for this study, 9 of which passed the manual filtering step. Among the 9 genes, LCAT, CD4, SERPINA1, IL6, and PPBP failed to pass the follow-up filter in the Human eFP Browser, due to their low levels in the heart tissue. Finally, four genes (GNB3, CNR1, MTHFR, and NCAM1) remained.ConclusionsGNB3, CNR1, MTHFR, and NCAM1 are putative new candidate genes that may influence the interactions between MI and depression, and may represent potential targets for therapeutic intervention.
Highlights
A multidirectional relationship has been demonstrated between myocardial infarction (MI) and depression
The intersection of the two gene sets of 128 related concepts Y in total was selected for further analysis, and we defined these selected genes as the Candidate intermediate molecule (CIM)
Genes differentially expressed in both MI and depression Analysis of the GSE48060, GSE83500, GSE97320, and GSE61145 for MI, GSE54562, GSE54563, GSE54564, GSE54565, GSE54566, GSE54567, GSE54568, GSE54570, GSE54571, GSE54572, and GSE54575 data sets for major depressive disorders obtained from the Gene Expression Omnibus (GEO) revealed 2750 differentially expressed genes (DEGs)
Summary
A multidirectional relationship has been demonstrated between myocardial infarction (MI) and depression. The causal genetic factors and molecular mechanisms underlying this interaction remain unclear. The main purpose of this study was to identify potential candidate genes for the interaction between the two diseases. Myocardial infarction (MI) is a highly prevalent cardiovascular disease. The American Heart Association released a scientific statement in 2014 and recommended that depression should be considered a risk factor for adverse medical outcomes in patients with acute coronary syndrome [1]. Depression may cause many adverse outcomes, including autonomic dysfunction [2], inflammation [3], endothelial dysfunction [4, 5], hyperactivity of the. Dai et al BMC Medical Genetics (2019) 20:104 Disease Series Tissue. Myocardial Infarction GSE48060 Peripheral blood GPL570 21 None.
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