ArticleJACC. Basic to translational science2023
Clustering of Cardiac Transcriptome Profiles Reveals Unique: Subgroups of Dilated Cardiomyopathy Patients.
Article in JACC. Basic to translational science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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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.
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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
12 citing papers in PubMed, 17 citations in OpenAlex.
- Metabolic Task Analysis Reveals Distinct Metabotypes in End-Stage Dilated Cardiomyopathy.Circulation. Genomic and precision medicine · 2026Article
- RRAGD p.(Ser76Leu) Variant Causes Dysregulated Expression of Muscle Development and Cytoskeleton Genes in Cardiomyocytes.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026Article
- A gene interaction network-based molecular taxonomy of dilated cardiomyopathy highlighting immune and inflammatory heterogeneity.Clinical and experimental medicine · 2026Article
- Clustering in dilated cardiomyopathy at initial evaluation: An effective tool for clinical stratification.European journal of heart failure · 2025Article
- Impact of genotype-phenotype associations on prognosis in dilated cardiomyopathy.European journal of heart failure · 2025Article
- A cross-study transcriptional patient map of heart failure defines conserved multicellular coordination in cardiac remodeling.Nature communications · 2025Article
- Exploring transcriptomic signatures in sudden unexplained death (SUD) cases.International journal of legal medicine · 2025Article
- IntragenicThe application of clinical genetics · 2025Article
- Progression from cardiomyopathy to heart failure with reduced ejection fraction: A CORIN deficient course.Heliyon · 2024Article
- Loss of Cardiac Splicing RegulatorJACC. Basic to translational science · 2024Article
- Deep embedded clustering generalisability and adaptation for integrating mixed datatypes: two critical care cohorts.Scientific reports · 2024Article
- Transcriptomics and Beyond in Dilated Cardiomyopathy.JACC. Basic to translational science · 2023Article
Corrections and comments
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Authors and funding
14 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dilated cardiomyopathy is a heterogeneous disease characterized by multiple genetic and environmental etiologies. The majority of patients are treated the same despite these differences. The cardiac transcriptome provides information on the patient's pathophysiology, which allows targeted therapy. Using clustering techniques on data from the genotype, phenotype, and cardiac transcriptome of patients with early- and end-stage dilated cardiomyopathy, more homogeneous patient subgroups are identified based on shared underlying pathophysiology. Distinct patient subgroups are identified based on differences in protein quality control, cardiac metabolism, cardiomyocyte function, and inflammatory pathways. The identified pathways have the potential to guide future treatment and individualize patient care.
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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.