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• W2950598959 abstract "A 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.Using 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.Our 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.GNB3, 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." @default.
• W2950598959 created "2019-06-27" @default.
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• W2950598959 date "2019-06-11" @default.
• W2950598959 modified "2023-09-26" @default.
• W2950598959 title "Using literature-based discovery to identify candidate genes for the interaction between myocardial infarction and depression" @default.
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• W2950598959 doi "https://doi.org/10.1186/s12881-019-0841-8" @default.
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