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Updated: Jul 19, 2025

Caspase-3 Activity in the Rat Amygdala Measured by Spectrofluorometry After Myocardial Infarction
Published on: January 12, 2016
Investigation of the shared molecular mechanisms and hub genes between myocardial infarction and depression
Mengxi Wang1,2,3, Liying Cheng4, Ziwei Gao1,2,3
1Department of Cardiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Insights
Bioinformatics identified shared immune inflammation pathways in myocardial infarction and depression. Six hub genes (CD24, CSTA, EXTL3, RPS7, SLC25A5, ZMAT3) show potential as biomarkers for diagnosing depression and identifying myocardial infarction subtypes.
Area of Science:
- Genomics
- Bioinformatics
- Immunology
Background:
- The shared pathogenesis between myocardial infarction and depression remains unclear.
- Bioinformatics offers a powerful approach to investigate common disease mechanisms.
Purpose of the Study:
- To identify shared differentially expressed genes (S-DEGs) between myocardial infarction and depression using bioinformatics.
- To explore the underlying immune inflammatory mechanisms.
- To identify potential diagnostic biomarkers and molecular subtypes.
Main Methods:
- Differential gene expression analysis (M-DEGs, D-DEGs) and intersection to find S-DEGs.
- Gene Ontology (GO), KEGG pathway, Gene Set Enrichment Analysis (GSEA), and Gene Set Variation Analysis (GSVA).
- Machine learning for hub S-DEG identification, diagnostic model development, and molecular subtype clustering.
Main Results:
- Six hub S-DEGs (CD24, CSTA, EXTL3, RPS7, SLC25A5, ZMAT3) involved in immune inflammatory response were identified.
- Immune inflammation was confirmed as a shared pathogenesis.
- The identified hub genes demonstrated diagnostic utility for depression and ability to distinguish myocardial infarction subtypes.
Conclusions:
- Immune inflammation is a key shared pathway in myocardial infarction and depression.
- The identified hub S-DEGs serve as promising biomarkers for disease diagnosis and molecular subtyping.
Background:
The pathogenesis of myocardial infarction complicating depression is still not fully understood. Bioinformatics is an effective method to study the shared pathogenesis of multiple diseases and has important application value in myocardial infarction complicating depression.
Methods:
The differentially expressed genes (DEGs) between control group and myocardial infarction group (M-DEGs), control group and depression group (D-DEGs) were identified in the training set. M-DEGs and D-DEGs were intersected to obtain DEGs shared by the two diseases (S-DEGs). The GO, KEGG, GSEA and correlation analysis were conducted to analyze the function of DEGs. The biological function differences of myocardial infarction and depression were analyzed by GSVA and immune cell infiltration analysis. Four machine learning methods, nomogram, ROC analysis, calibration curve and decision curve were conducted to identify hub S-DEGs and predict depression risk. The unsupervised cluster analysis was constructed to identify myocardial infarction molecular subtype clusters based on hub S-DEGs. Finally, the value of these genes was verified in the validation set, and blood samples were collected for RT-qPCR experiments to further verify the changes in expression levels of these genes in myocardial infarction and depression.
Results:
A total of 803 M-DEGs, 214 D-DEGs, 13 S-DEGs and 6 hub S-DEGs (CD24, CSTA, EXTL3, RPS7, SLC25A5 and ZMAT3) were obtained in the training set and they were all involved in immune inflammatory response. The GSVA and immune cell infiltration analysis results also suggested that immune inflammation may be the shared pathogenesis of myocardial infarction and depression. The diagnostic models based on 6 hub S-DEGs found that these genes showed satisfactory combined diagnostic performance for depression. Then, two molecular subtypes clusters of myocardial infarction were identified, many differences in immune inflammation related-biological functions were found between them, and the hub S-DEGs had satisfactory molecular subtypes identification performance. Finally, the analysis results of the validation set further confirmed the value of these hub genes, and the RT-qPCR results of blood samples further confirmed the expression levels of these hub genes in myocardial infarction and depression.
Conclusion:
Immune inflammation may be the shared pathogenesis of myocardial infarction and depression. Meanwhile, hub S-DEGs may be potential biomarkers for the diagnosis and molecular subtype identification of myocardial infarction and depression.
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