Trial reportPloS one2013
Gender differences in electrophysiological gene expression in failing and non-failing human hearts.
Trial report in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 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
33 citing papers in PubMed, 61 citations in OpenAlex.
- Can in silico models predict drug-induced cardiac risk in vulnerable populations?Toxicology reports · 2026Article
- Connexin43 Deficiency Leads to Ventricular Arrhythmias by Reprogramming Proline Metabolism.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Sex differences in human atrial electrophysiology: the dark side of the moon? Will engineered heart tissue help to bring light into the darkness?Naunyn-Schmiedeberg's archives of pharmacology · 2026Review
- Mechanistic insights into sex differences in atrial electrophysiology and arrhythmia vulnerability through sex-specific computational models.The Journal of physiology · 2025Article
- Sex Differences in Electrophysiology and Calcium Handling in Atrial Health and Fibrillation.Annual review of physiology · 2025Review
- Article
- Enhanced CaJACC. Clinical electrophysiology · 2024Article
- Using a Failing Human Ventricular Cardiomyocyte Model to Re-Evaluate CaBiomolecules · 2024Article
- Lower diastolic tension may be indicative of higher proarrhythmic propensity in failing human cardiomyocytes.Scientific reports · 2024Article
- Predictive value of TRPV2 expression from peripheral blood mononuclear cells on the early recurrence of atrial fibrillation after radiofrequency catheter ablation.BMC cardiovascular disorders · 2022Article
- Risk factors for new-onset atrial fibrillation during critical illness: A Delphi study.Journal of the Intensive Care Society · 2022Article
- Molecular signaling pathways in right ventricular impairment of adult patients after tetralogy of Fallot repair.Cardiovascular diagnosis and therapy · 2021Article
- ESC working group on cardiac cellular electrophysiology position paper: relevance, opportunities, and limitations of experimental models for cardiac electrophysiology research.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2021Review
- Revealing the Influences of Sex Hormones and Sex Differences in Atrial Fibrillation and Vascular Cognitive Impairment.International journal of molecular sciences · 2021Review
- Mechanisms underlying pro-arrhythmic abnormalities arising from Pitx2-induced electrical remodelling: an in silico intersubject variability study.Annals of translational medicine · 2021Article
- Circadian Pattern of Ion Channel Gene Expression in Failing Human Hearts.Circulation. Arrhythmia and electrophysiology · 2021Article
- Antiarrhythmic mechanisms of beta blocker therapy.Pharmacological research · 2019Review
- BlindedFrontiers in pharmacology · 2019Article
- Sex Differences in Atrial Fibrillation-Update on Risk Assessment, Treatment, and Long-Term Risk.Current treatment options in cardiovascular medicine · 2018Review
- Sex Differences in Metabolic Cardiomyopathy.Cardiovascular research · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
The increasing availability of human cardiac tissues for study are critically important in increasing our understanding of the impact of gender, age, and other parameters, such as medications and cardiac disease, on arrhythmia susceptibility. In this study, we aimed to compare the mRNA expression of 89 ion channel subunits, calcium handling proteins, and transcription factors important in cardiac conduction and arrhythmogenesis in the left atria (LA) and ventricles (LV) of failing and nonfailing human hearts of both genders. Total RNA samples, prepared from failing male (n = 9) and female (n = 7), and from nonfailing male (n = 9) and female (n = 9) hearts, were probed using custom-designed Taqman gene arrays. Analyses were performed to explore the relationships between gender, failure state, and chamber expression. Hierarchical cluster analysis revealed chamber specific expression patterns, but failed to identify disease- or gender-dependent clustering. Gender-specific analysis showed lower expression levels in transcripts encoding for K(v)4.3, KChIP2, K(v)1.5, and K(ir)3.1 in the failing female as compared with the male LA. Analysis of LV transcripts, however, did not reveal significant differences based on gender. Overall, our data highlight the differential expression and transcriptional remodeling of ion channel subunits in the human heart as a function of gender and cardiac disease. Furthermore, the availability of such data sets will allow for the development of disease-, gender-, and, most importantly, patient-specific cardiac models, with the ability to utilize such information as mRNA expression to predict cardiac phenotype.
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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.