ArticlePloS one2012
Altered gene expression pattern in peripheral blood mononuclear cells in patients with acute myocardial infarction.
Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.
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61 citing papers in PubMed, 94 citations in OpenAlex.
- Bioinformatics and Experimental Validation of Diagnostic Marker Genes for Myocardial Infarction and Analysis of Their Immune Cell Infiltration.Biochemical genetics · 2026Article
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- Single-cell Transcriptomic Profiling Reveals Diagnostic of T Cell-platelet Aggregates in Peripheral Blood for Coronary Vulnerable Plaques.Journal of cardiovascular translational research · 2026Article
- Serum LRG1 as a non-invasive biomarker for identifying complex coronary anatomy in pre-angiography risk stratification.Frontiers in cardiovascular medicine · 2026Article
- Clinically validated immune-related gene markers and molecular subtypes in acute myocardial infarction revealed by peripheral blood transcriptomics.Frontiers in cardiovascular medicine · 2026Article
- Peripheral blood transcriptomes and a single-cell atlas suggest a monocyte-associated immune recovery-failure axis in STEMI.PloS one · 2026Article
- Deciphering the clinical implication of an obesity-related gene signature as the novel biomarker for acute myocardial infarction diagnosis.Scientific reports · 2025Article
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- Molecular signatures bidirectionally link myocardial infarction and lung cancer.Frontiers in medicine · 2025Article
- Gene Expression Signatures of Smoking and Acute Myocardial Infarction: A Blood Transcriptome Analysis.Mediators of inflammation · 2025Article
- Associations of genetic variation and mRNA expression of PDGF/PDGFRB pathway genes with coronary artery disease in the Chinese population.Journal of cellular and molecular medicine · 2024Article
- Expression characteristics of lipid metabolism-related genes and correlative immune infiltration landscape in acute myocardial infarction.Scientific reports · 2024Article
- Identification of key biomarkers for predicting CAD progression in inflammatory bowel disease via machine-learning and bioinformatics strategies.Journal of cellular and molecular medicine · 2024Article
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- Identification of Potential Crucial Biomarkers in STEMI Through Integrated Bioinformatic Analysis.Arquivos brasileiros de cardiologia · 2024Article
- Atherosclerotic plaque vulnerability quantification system for clinical and biological interpretability.iScience · 2023Article
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- Identification of biomarkers and immune infiltration in acute myocardial infarction and heart failure by integrated analysis.Bioscience reports · 2023Article
- Exploring an immune cells-related molecule in STEMI by bioinformatics analysis.BMC medical genomics · 2023Article
1 more citing papers are in PubMed but not listed here.
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDespite a substantial progress in diagnosis and therapy, acute myocardial infarction (MI) is a major cause of mortality in the general population. A novel insight into the pathophysiology of myocardial infarction obtained by studying gene expression should help to discover novel biomarkers of MI and to suggest novel strategies of therapy. The aim of our study was to establish gene expression patterns in leukocytes from acute myocardial infarction patients. METHODS AND
resultsTwenty-eight patients with ST-segment elevation myocardial infarction (STEMI) were included. The blood was collected on the 1(st) day of myocardial infarction, after 4-6 days, and after 6 months. Control group comprised 14 patients with stable coronary artery disease, without history of myocardial infarction. Gene expression analysis was performed with Affymetrix Human Gene 1.0 ST microarrays and GCS3000 TG system. Lists of genes showing altered expression levels (fold change >1.5, p<0.05) were submitted to Ingenuity Pathway Analysis. Gene lists from each group were examined for canonical pathways and molecular and cellular functions. Comparing acute phase of MI with the same patients after 6 months (stable phase) and with control group we found 24 genes with changed expression. In canonical analysis three pathways were highlighted: signaling of PPAR (peroxisome proliferator-activated receptor), IL-10 and IL-6 (interleukin 10 and 6).
conclusionsIn the acute phase of STEMI, dozens of genes from several pathways linked with lipid/glucose metabolism, platelet function and atherosclerotic plaque stability show altered expression. Up-regulation of SOCS3 and FAM20 genes in the first days of myocardial infarction is observed in the vast majority of patients.
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