ArticleCirculation. Genomic and precision medicine2019
Peripheral Blood RNA Levels of
Article in Circulation. Genomic and precision medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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Who cites it
37 citing papers in PubMed, 67 citations in OpenAlex.
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- Peripheral blood transcriptomes and a single-cell atlas suggest a monocyte-associated immune recovery-failure axis in STEMI.PloS one · 2026Article
- MAP3K3 Contributes to Myocardial Ischemia/Reperfusion Injury by Promoting Myeloid Cell Diapedesis through TAL1/JAM-A Pathway.Theranostics · 2026Article
- Prognostic significance of somatic mutations in myeloid cells of men with chronic heart failure - interaction between loss of Y chromosome and clonal haematopoiesis.European journal of heart failure · 2025Article
- Ethnic differences in protein biomarkers of peripartum cardiomyopathy: a proteomic study on the EORP cohort.ESC heart failure · 2025Article
- Exploratory development of biomarkers for neurobehavioral performance impairment during sleep loss: comparison across multiple types of sleep deprivation.BMC genomics · 2025Article
- Bioinformatics analysis of circular RNAs associated with atrial fibrillation and their evaluation as predictive biomarkers.Human genomics · 2025Article
- Identifying Lipid Metabolism-Related Therapeutic Targets and Diagnostic Markers for Lung Adenocarcinoma by Mendelian Randomization and Machine Learning Analysis.Thoracic cancer · 2025Article
- A Novel Disulfidptosis-Related Diagnostic Gene Signature and Differential Expression Validation in Ischaemic Cardiomyopathy.Journal of cellular and molecular medicine · 2025Article
- Unveiling the Potential of Migrasomes: A Machine-Learning-Driven Signature for Diagnosing Acute Myocardial Infarction.Biomedicines · 2024Article
- Leveraging a neutrophil-derived PCD signature to predict and stratify patients with acute myocardial infarction: from AI prediction to biological interpretation.Journal of translational medicine · 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
- Identification and Validation of Diagnostic Model Based on Angiogenesis- and Epithelial Mesenchymal Transition-Related Genes in Myocardial Infarction.International journal of general medicine · 2024Article
- Biomarkers of Arginine Methylation in Diabetic Nephropathy: Novel Insights from Bioinformatics Analysis.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024Article
- The prognostic and immune significance of PLBD1 in pan-cancer and its roles in proliferation and invasion of glioma.Journal of Cancer · 2024Article
- Atherosclerotic plaque vulnerability quantification system for clinical and biological interpretability.iScience · 2023Article
- Identification of biomarkers and immune infiltration in acute myocardial infarction and heart failure by integrated analysis.Bioscience reports · 2023Article
- Inflammation and Syndecan-4 Shedding from Cardiac Cells in Ischemic and Non-Ischemic Heart Disease.Biomedicines · 2023Article
- From 'Omics to Multi-omics Technologies: the Discovery of Novel Causal Mediators.Current atherosclerosis reports · 2023Review
- Integrated whole-genome gene expression analysis reveals an atlas of dynamic immune landscapes after myocardial infarction.Frontiers in cardiovascular medicine · 2023Article
Corrections and comments
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Authors and funding
14 authors at 7 institutions in 6 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe identification of patients with acute myocardial infarction (MI) at risk of subsequent left ventricular (LV) dysfunction remains challenging, but it is important to optimize therapies. The aim of this study was to determine the unbiased RNA profile in peripheral blood of patients with acute MI and to identify and validate new prognostic markers of LV dysfunction.
methodsWe prospectively enrolled a discovery cohort with acute MI (n=143) and performed whole-blood RNA profiling at different time points. We then selected transcripts on admission that related to LV dysfunction at follow-up and validated them by quantitative polymerase chain reaction in the discovery cohort, in an external validation cohort (n=449), and in a representative porcine MI model with cardiac magnetic resonance-based measurements of infarct size and postmortem myocardial pathology (n=33).
resultsRNA profiling in the discovery cohort showed upregulation of genes involved in chemotaxis, IL (interleukin)-6, and NF-κB (nuclear factor-κB) signaling in the acute phase of MI. Expression levels of the majority of these transcripts paralleled the rise in cardiac troponin T and decayed at 30 days. RNA levels of
conclusionsPeripheral blood
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.