ArticleGenome medicine2015
Gene expression profiling reveals potential prognostic biomarkers associated with the progression of heart failure.
Article in Genome medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers.
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Who cites it
98 citing papers in PubMed, 136 citations in OpenAlex.
- Early Right Ventricular Apical Pacing-Induced Gene Expression Alterations Are Associated with Deterioration of Left Ventricular Systolic Function.Disease markers · 2017Trial
- Endothelial PARP1 orchestrates endothelial-to-mesenchymal transition via the PARylation of FHL2 in ischaemic heart failure.Acta pharmacologica Sinica · 2026Article
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- Identification of PANoptosis-related hub genes in acute myocardial infarction: diagnostic potential, immune correlates, and therapeutic insights.Journal of cardiothoracic surgery · 2026Article
- Preemptive cardioprotection with a small molecule in rodents that suppresses genes predictive of heart failure.Science advances · 2026Article
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- Single-cell and machine learning-integrated bulk RNA-seq analysis reveals TKT as an oxidative stress-associated diagnostic biomarker in acute myocardial infarction.Human genomics · 2026Article
- Integrative transcriptomic and machine learning approach reveals key DDR genes and predictors of ami risk in the Bangladeshi population.Scientific reports · 2026Article
- Interpretable neural network for risk stratification and drug target discovery based on PBMC transcriptomes.iScience · 2026Article
- Single-cell Transcriptomic Profiling Reveals Diagnostic of T Cell-platelet Aggregates in Peripheral Blood for Coronary Vulnerable Plaques.Journal of cardiovascular translational research · 2026Article
- Succinylation-annotated genes in AMI: multi-omics and single-cell prioritization of ASGR2 and NPL.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
- Proteomics-based clustering outperforms clinical clustering in identifying people with heart failure with distinct outcomes.Communications medicine · 2025Article
- Article
- Maintenance and Reversibility of Paroxysmal Atrial Fibrillation in JDP2 Overexpressing Mice.Cells · 2025Article
- Identification and analysis of pyroptosis-related key genes in heart failure.Journal of cardiothoracic surgery · 2025Article
- CDC6 as early biomarker for myocardial infarction with acute cellular senescence and repair mechanisms.Scientific reports · 2025Article
- Molecular signatures bidirectionally link myocardial infarction and lung cancer.Frontiers in medicine · 2025Article
- Identification of platelet function-related genes in STEMI patients.Frontiers in genetics · 2025Article
38 more citing papers are in PubMed but not listed here.
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Authors and funding
10 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHeart failure (HF) is the most common cause of morbidity and mortality in developed countries. Here, we identify biologically relevant transcripts that are significantly altered in the early phase of myocardial infarction and are associated with the development of post-myocardial infarction HF.
methodsWe collected peripheral blood samples from patients with ST-segment elevation myocardial infarction (STEMI): n = 111 and n = 41 patients from the study and validation groups, respectively. Control groups comprised patients with a stable coronary artery disease and without a history of myocardial infarction. Based on plasma NT-proBNP level and left ventricular ejection fraction parameters the STEMI patients were divided into HF and non-HF groups. Microarrays were used to analyze mRNA levels in peripheral blood mononuclear cells (PBMCs) isolated from the study group at four time points and control group. Microarray results were validated by RT-qPCR using whole blood RNA from the validation group.
resultsSamples from the first three time points (admission, discharge, and 1 month after AMI) were compared with the samples from the same patients collected 6 months after AMI (stable phase) and with the control group. The greatest differences in transcriptional profiles were observed on admission and they gradually stabilized during the follow-up. We have also identified a set of genes the expression of which on the first day of STEMI differed significantly between patients who developed HF after 6 months of observation and those who did not. RNASE1, FMN1, and JDP2 were selected for further analysis and their early up-regulation was confirmed in HF patients from both the study and validation groups. Significant correlations were found between expression levels of these biomarkers and clinical parameters. The receiver operating characteristic (ROC) curves indicated a good prognostic value of the genes chosen.
conclusionsThis study demonstrates an altered gene expression profile in PBMCs during acute myocardial infarction and through the follow-up. The identified gene expression changes at the early phase of STEMI that differentiated the patients who developed HF from those who did not could serve as a convenient tool contributing to the prognosis of heart failure.
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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.