ArticlePloS one2009
Gene expression patterns in peripheral blood correlate with the extent of coronary artery disease.
Article in PloS one, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers, 3 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
94 citing papers in PubMed, 3 syntheses or guidelines pooled it, 171 citations in OpenAlex.
- Identification of key miRNAs and mRNAs related to coronary artery disease by meta-analysis.BMC cardiovascular disorders · 2021Pooled it
- Meta-Analysis of Multiple Sclerosis Microarray Data Reveals Dysregulation in RNA Splicing Regulatory Genes.International journal of molecular sciences · 2015Pooled it
- Association of the variants in the PPARG gene and serum lipid levels: a meta-analysis of 74 studies.Journal of cellular and molecular medicine · 2015Pooled it
- Study protocol: a randomised controlled trial investigating the effect of exercise training on peripheral blood gene expression in patients with stable angina.BMC public health · 2010Trial
- Interpretable neural network for risk stratification and drug target discovery based on PBMC transcriptomes.iScience · 2026Article
- Development of immune-derived molecular markers for coronary heart disease via multimachine learning.iScience · 2026Article
- Transcriptomic biomarkers related to cardiac disease in childhood cancer survivors: a case-control study.European heart journal · 2026Article
- Identification and Analysis of PANoptosis Associated with Coronary Artery Disease Using Integrated Bioinformatics Methods.Iranian journal of biotechnology · 2026Article
- Deciphering the clinical implication of an obesity-related gene signature as the novel biomarker for acute myocardial infarction diagnosis.Scientific reports · 2025Article
- A macrophage gene-regulatory network linked to clinical severity of coronary artery disease : The STARNET and NGS-PREDICT primary blood macrophage studies.Basic research in cardiology · 2025Article
- Regulatory Roles of Long Noncoding RNAs in Arterial Stiffness and Hypertension.Hypertension (Dallas, Tex. : 1979) · 2025Article
- Alternative mRNA splicing in anthracycline-induced cardiomyopathy - a COG-ALTE03N1 report.Cardio-oncology (London, England) · 2025Article
- Genetic targets related to aging for the treatment of coronary artery disease.BMC medical genomics · 2025Article
- TRAF3IP2 as a novel inflammatory biomarker for coronary artery disease: development and validation of a multimodal prediction model.Frontiers in endocrinology · 2025Article
- Inflammatory Biomarkers in Coronary Artery Disease: Insights From Mendelian Randomization and Transcriptomics.Journal of inflammation research · 2025Article
- Construction of Immune-Related circRNA-miRNA-mRNA Network and Identification of circRNAs as Biomarkers in Coronary Atherosclerotic Heart Disease.Current issues in molecular biology · 2024Article
- Screening of CAD-related secretory genes associated with type II diabetes based on comprehensive bioinformatics analysis and machine learning.BMC cardiovascular disorders · 2024Article
- Regulatory Roles of Long Non-Coding RNAs in Arterial Stiffness and Hypertension: Insights from Two African American Studies.bioRxiv : the preprint server for biology · 2024Article
- Disparity of gene expression in coronary artery disease: insights from MEIS1, HIRA, and Myocardin.Molecular biology reports · 2024Article
- Use of Machine Learning for the Identification and Validation of Immunogenic Cell Death Biomarkers and Immunophenotypes in Coronary Artery Disease.Journal of inflammation research · 2024Article
34 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
12 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Systemic and local inflammation plays a prominent role in the pathogenesis of atherosclerotic coronary artery disease, but the relationship of whole blood gene expression changes with coronary disease remains unclear. We have investigated whether gene expression patterns in peripheral blood correlate with the severity of coronary disease and whether these patterns correlate with the extent of atherosclerosis in the vascular wall. Patients were selected according to their coronary artery disease index (CADi), a validated angiographical measure of the extent of coronary atherosclerosis that correlates with outcome. RNA was extracted from blood of 120 patients with at least a stenosis greater than 50% (CADi > or = 23) and from 121 controls without evidence of coronary stenosis (CADi = 0). 160 individual genes were found to correlate with CADi (rho > 0.2, P<0.003). Prominent differential expression was observed especially in genes involved in cell growth, apoptosis and inflammation. Using these 160 genes, a partial least squares multivariate regression model resulted in a highly predictive model (r(2) = 0.776, P<0.0001). The expression pattern of these 160 genes in aortic tissue also predicted the severity of atherosclerosis in human aortas, showing that peripheral blood gene expression associated with coronary atherosclerosis mirrors gene expression changes in atherosclerotic arteries. In conclusion, the simultaneous expression pattern of 160 genes in whole blood correlates with the severity of coronary artery disease and mirrors expression changes in the atherosclerotic vascular wall.
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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.