ArticleBMC medical genomics2022
Integrative analyses of immune-related biomarkers and associated mechanisms in coronary heart disease.
Article in BMC medical genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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Who cites it
7 citing papers in PubMed, 6 citations in OpenAlex.
- Research progress on coronary heart disease and cytokines: mechanisms, clinical implications, and future directions.Journal of cardiothoracic surgery · 2026Review
- RNA-sequencing based gene variants observed in patients with hyperlipidemia and premature coronary heart disease: A preliminary study.Biochemistry and biophysics reports · 2026Article
- Association between platelet-to-lymphocyte ratio and prognosis in patients receiving coronary artery bypass grafting: a meta-analysis.Journal of thoracic disease · 2025Article
- Bioinformatics-based study on the regulatory network of lipid metabolism-related genes and mechanisms in coronary heart disease.Hereditas · 2025Article
- The identification and validation of histone acetylation-related biomarkers in depression disorder based on bioinformatics and machine learning approaches.Frontiers in neuroscience · 2025Article
- Identification and analysis of inflammation-related biomarkers in tetralogy of Fallot.Translational pediatrics · 2024Article
- Serum Globulin to Albumin Ratio as a Novel Predictor of Adverse Clinical Outcomes in Coronary Artery Disease Patients Who Underwent PCI.Reviews in cardiovascular medicine · 2023Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Various studies showed that the effect of immune activation is pro-atherogenic and coronary heart disease (CHD) should therefore be considered an autoimmune disease. This study aimed to identify potential immune-related biomarkers, pathways, and the potential regulatory networks underlying CHD. Differentially expressed genes (DEGs) between CHD and control samples were determined by analyzing GSE71226 and GSE9128. The overlapping differential expression immune-related genes (DE-IRGs) for CHD were identified by analyzing the ImmPort database and two GEO databases. A total of 384 DE-IRGs were identified. Subsequently, comprehensive enrichment analyses suggested that DE-IRGs were enriched in immune-related pathways, including autoimmune thyroid disease, the intestinal immune network for IGA production, and downstream signaling events of B cell receptors. The signature of DE-IRGs was validated using an external independent dataset GSE20681 (AUC = 0.875). Furthermore, we conducted protein-protein interaction network analysis and identified eight hub genes, which were most enriched in regulation of defense response, NF-κB signaling pathway, regulation of JNK cascade, and regulation of cytokine production. Moreover, networks of miRNAs-mRNAs and transcription factors (TFs)-mRNA underlying the integrated data were established, involving eight miRNAs and 76 TF-targeting hub genes. Ultimately, 17 SNPs in miRNA-mediated gene networks were identified. We screened potential immune-related genes in CHD and constructed miRNA-mRNA-TF and SNP-miRNA networks, which not only provide inspired insights into the occurrence and the molecular mechanisms of CHD but also lay a foundation for targeting potential biomarkers using immunotherapy and for understanding the molecular mechanisms of CHD.
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