Key result
Machine learning analysis of gene expression data identified three key hub genes (PLAT, SEMA6B, and CRP) and 39 differentially expressed genes associated with stress cardiomyopathy.
Why the study?
The incidence of stress cardiomyopathy has increased, but its exact pathophysiological mechanisms remain unclear.
Observational (n=21)
p-value: p=<0.05
Machine learning analysis of gene expression data identified PLAT, SEMA6B, and CRP as key genes in stress cardiomyopathy pathogenesis, implicating immune and coagulation pathways.
Animal model findings require human validation; leaves open any clinical role in stress cardiomyopathy.
Background: Stress cardiomyopathy (SCM) is a reversible, self-limiting condition that manifests as left ventricular insufficiency. The incidence of stress cardiomyopathy has increased because of increasing mental and social stress, but the exact pathophysiological mechanisms remain unclear. Methods: To elucidate the critical molecules in the pathogenesis of SCM and the functional changes that they mediate, we downloaded data for a healthy control group and stress cardiomyopathy (SCM) group from the Gene Expression Omnibus database, performed differential analysis, and analyzed the results of GO and KEGG enrichment analysis to describe SCM-associated genes and functions. Lasso, random forest, SVM-RFM, and Friends analysis were used to screen hub genes; CIBERSORT and MCPcounter were used to explore the relationship between SCM and immunity; and an animal model of SCM was constructed to conduct bidirectional verification of the obtained results. Results: In total, 21 samples (6 healthy, 15 SCM) were used in this study. Overall, 39 DEGs (absolute fold change ≥ 1; P < 0.05), including 23 upregulated and 16 downregulated genes in SCM, were extracted. Three common hub genes ( PLAT , SEMA6B , and CRP ) were finally screened. We further confirmed that functional changes in SCM were concentrated in immunity and coagulation functions. Conclusion: Three key genes (PLAT, SEMA6B, and CRP) in SCM were identified by machine learning, and the major functional changes leading to SCM, and relationships of SCM with immunity, were identified.
No takes yet. Share an insight, caveat, or question.
Jin et al. (2024) conducted an observational in Stress cardiomyopathy (n=21). Stress cardiomyopathy vs. Healthy controls was evaluated on Differentially expressed genes (DEGs) (p=<0.05). Machine learning analysis of gene expression data identified three key hub genes (PLAT, SEMA6B, and CRP) and 39 differentially expressed genes associated with stress cardiomyopathy.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: