ArticleMediators of inflammation2025
Identification of Diagnostic Biomarkers for Myocardial Infarction Using Bioinformatics and Disulfidptosis-Targeted Computational Drug Discovery.
Article in Mediators of inflammation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
1 citing paper in PubMed.
- Disulfidptosis in heart failure: an emerging mechanism awaiting exploration.Frontiers in cardiovascular medicine · 2026Review
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Authors and funding
4 authors.
Funding
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Abstract
Disulfidptosis, a newly discovered form of regulated cell death, is involved in multiple disease processes. This study applied computational methods to identify disulfidptosis-related genes in myocardial infarction (MI). Differentially expressed genes (DEGs) from GSE66360 dataset were screened using the limma package and intersected with genes in weighted gene coexpression network analysis (WGCNA) modules to obtain candidate genes. Biomarkers were selected via support vector machine-recursive feature elimination (SVM-RFE) and least absolute shrinkage and selection operator (LASSO), and validated by quantitative real-time (qRT)-PCR, CCK-8, and flow cytometry. Enrichment and immune infiltration analyses were performed using clusterProfiler and CIBERSORT tools. Potential drugs were predicted via the Coremine database and visualized with Cytoscape. Seurat and CellChat packages were employed to perform single-cell transcriptomic analysis and develop cell-cell communication network, respectively. The genes in the lightgreen module that had the highest correlation with immune scores were selected. Next, we identified 10 biomarkers (
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