ArticleJournal of inflammation research2023
Identification of Immuno-Inflammation-Related Biomarkers for Acute Myocardial Infarction Based on Bioinformatics.
Article in Journal of inflammation research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 33 citations in OpenAlex.
- Identification of COL5A1 and TGFBI as key basement membrane genes and their molecular mechanisms in gestational diabetes mellitus.Medicine · 2026Article
- The diagnostic value of miR-1299 in acute myocardial infarction.Journal of cardiothoracic surgery · 2026Article
- Mendelian randomization and transcriptome analysis reveal depression-driven regulatory patterns of the immune microenvironment in myocardial infarction and heart failure.Frontiers in immunology · 2026Article
- Identification of biomarkers for pediatric sepsis based on machine learning and bioinformatics analysis.Frontiers in immunology · 2026Article
- Screening and Preliminary Validation of Parthanatos-Related Key Genes in Asthma Using Transcriptomic and Machine Learning Approaches.Journal of inflammation research · 2026Article
- Identification of neutrophil extracellular traps-related genes for the diagnosis of acute myocardial infarction based on bioinformatics and experimental verification.Journal of inflammation (London, England) · 2025Article
- The Latest Advances in Omics Technology for Assessing Tissue Damage: Implications for the Study of Sudden Cardiac Death.International journal of molecular sciences · 2025Review
- Cross-talk between cardiac lymphatics and immune cells regulates inflammatory response and cardiac recovery after myocardial infarction.Frontiers in immunology · 2025Review
- Identification and validation of biomarkers associated with mitochondrial dysfunction and ferroptosis in rat spinal cord injury.Frontiers in neurology · 2025Article
- Targeted metabolomic profiling of acute ST-segment elevation myocardial infarction.Scientific reports · 2024Article
- Exploring the role of CBLB in acute myocardial infarction: transcriptomic, microbiomic, and metabolomic analyses.Journal of translational medicine · 2024Article
- Prediction of diagnostic gene biomarkers for hypertrophic cardiomyopathy by integrated machine learning.The Journal of international medical research · 2023Article
- From multi-omics approaches to personalized medicine in myocardial infarction.Frontiers in cardiovascular medicine · 2023Review
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Previous studies have confirmed that inflammation and immunity are involved in the pathogenesis of acute myocardial infarction (AMI). However, only few related genes are identified as biomarkers for the diagnosis and treatment of AMI. Patients and Methods: GSE48060 and GSE60993 datasets were retrieved from Gene Expression Omnibus. The differentially expressed immuno-inflammation-related genes (DEIIRGs) were obtained from GSE48060, and the biomarkers for AMI were screened and validated using the "Neuralnet" package and GSE60993 dataset. Further, the biomarker-based nomogram was constructed, and miRNAs, transcription factors (TFs), and potential drugs targeting the biomarkers were explored. Furthermore, immune infiltration analysis was analyzed in AMI. Finally, the biomarkers were verified by assessing their mRNA levels using real-time quantitative PCR (RT-qPCR). Results: First, eight biomarkers were screened via bioinformatics, and the artificial neural network model indicated a higher prediction accuracy for AMI even in the validation dataset. Nomogram had accurate forecasting ability for AMI as well. The TFs GTF2I, PHOX2B, RUNX1, and FOS targeting hsa-miR-1297 could regulate the expressions of Conclusion: In conclusion, eight key immuno-inflammation-related genes, namely,
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