ReviewJournal of the American College of Cardiology2009
Genomics, transcriptional profiling, and heart failure.
Review in Journal of the American College of Cardiology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed.
- Sarcoplasmic reticulum-mitochondria microdomains: hugging and kissing in the heart.American journal of physiology. Cell physiology · 2025Review
- Noncoding RNAs implication in cardiovascular diseases in the COVID-19 era.Journal of translational medicine · 2020Review
- Pathologic gene network rewiring implicates PPP1R3A as a central regulator in pressure overload heart failure.Nature communications · 2019Article
- Integrated Omic Analysis of a Guinea Pig Model of Heart Failure and Sudden Cardiac Death.Journal of proteome research · 2016Article
- Tetralogy of Fallot and Hypoplastic Left Heart Syndrome - Complex Clinical Phenotypes Meet Complex Genetic Networks.Current genomics · 2015Article
- Lamins at the crossroads of mechanosignaling.Genes & development · 2015Review
- Bedside-to-Bench Translational Research for Chronic Heart Failure: Creating an Agenda for Clients Who Do Not Meet Trial Enrollment Criteria.Clinical Medicine Insights. Cardiology · 2015Review
- Gene expression profiling reveals potential prognostic biomarkers associated with the progression of heart failure.Genome medicine · 2015Article
- Epigenetic mechanisms in heart failure pathogenesis.Circulation. Heart failure · 2014Review
- Phosphoproteomic profiling of human myocardial tissues distinguishes ischemic from non-ischemic end stage heart failure.PloS one · 2014Article
- Global impact of RNA splicing on transcriptome remodeling in the heart.Journal of Zhejiang University. Science. B · 2012Review
- Targeting S100A1 in heart failure.Gene therapy · 2012Review
- In search of novel targets for heart disease: myocardin and myocardin-related transcriptional cofactors.Biochemistry research international · 2012Article
- Myocardial alternative RNA splicing and gene expression profiling in early stage hypoplastic left heart syndrome.PloS one · 2012Article
- Transforming growth factor β receptor 1 is a new candidate prognostic biomarker after acute myocardial infarction.BMC medical genomics · 2011Article
- Blood gene expression signatures associate with heart failure outcomes.Physiological genomics · 2011Article
- Pharmacoepigenetics in heart failure.Current heart failure reports · 2010Review
- Therapeutic potential of microRNAs in heart failure.Current cardiology reports · 2010Review
- Heart failure-associated changes in RNA splicing of sarcomere genes.Circulation. Cardiovascular genetics · 2010Article
- microRNAs in heart disease: putative novel therapeutic targets?European heart journal · 2010Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Associated with technological progress in deoxyribonucleic acid and messenger ribonucleic acid profiling, advances in basic biology have led to a more complete and sophisticated understanding of interactions among genes, environment, and affected tissues in the setting of complex and heterogeneous conditions such as heart failure (HF). Ongoing identification of mutations causing hereditary hypertrophic and dilated cardiomyopathies has provided both pathophysiological insights and clinically applicable diagnostics for these relatively rare conditions. Genotyping clinical trial participants and genome-wide association studies have accelerated the identification of much more common disease- and treatment-modifying genes that explain patient-to-patient differences that have long been recognized by practicing clinicians. At the same time, increasingly detailed characterization of gene expression within diseased tissues and circulating cells from animal models and patients are providing new insights into the pathophysiology of HF that permit identification of novel diagnostic and therapeutic targets. In this rapidly evolving field, there is already ample support for the concept that genetic and expression profiling can enhance diagnostic sensitivity and specificity while providing a rational basis for prioritizing alternative therapeutic options for patients with cardiomyopathies and HF. Although the extensive characterizations provided by genomic and transcriptional profiling will increasingly challenge clinicians' abilities to utilize complex and diverse information, advances in clinical information technology and user interfaces will permit greater individualization of prevention and treatment strategies to address the HF epidemic.
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Identifiers
What OpenQuestion holds
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.