ArticleNature cardiovascular research2024
Integrative proteomic analyses across common cardiac diseases yield mechanistic insights and enhanced prediction.
Article in Nature cardiovascular research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.
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Who cites it
38 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Cross-population GWAS and proteomics improve risk prediction and reveal mechanisms in atrial fibrillation.Nature communications · 2025Pooled it
- Prevalence and severity of atrial cardiomyopathy in patients with recently diagnosed atrial fibrillation and stroke risk factors and its association with early rhythm control: a secondary analysis of EAST-AFNET 4.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 · 2025Trial
- Glycemic status-dependent proteomic signatures of biological aging for health risk prediction.GeroScience · 2026Article
- Biomarkers of Cardiovascular Stress: A Historical Review.Journal of cardiovascular development and disease · 2026Review
- Aortic valve stenosis serum IGFBP2 mediates female-specific Evogliptin resistance in valve myofibroblasts.Cell reports · 2026Article
- Biological aging clocks in health and disease.Nature medicine · 2026Review
- Molecular damage associated with ageing drives inflammation in cardiovascular disease.Nature reviews. Cardiology · 2026Review
- Molecular Research in Cardiovascular Disease, 3rd Edition.International journal of molecular sciences · 2026Article
- Proteins as Mediators of the Association Between Dietary Pattern and Premature Coronary Heart Disease: A Prospective Cohort Study.Molecular nutrition & food research · 2026Article
- Biobank-Scale Plasma Proteomics Identifies Novel Biomarkers in Hypertrophic Cardiomyopathy.Circulation. Genomic and precision medicine · 2026Article
- Enhanced Prediction of Peripheral Artery Disease Using Plasma Proteomics Among Individuals Without Diabetes.Journal of the American Heart Association · 2026Article
- Review
- Predicting Recurrence and Outcomes After Stressor-Associated Atrial Fibrillation Using ECG-Based Deep Learning.Journal of the American Heart Association · 2026Article
- TNFR Pathway-Related Proteins and Recurrent Coronary Artery Disease Events.JACC. Advances · 2026Article
- A multi-omics framework for survival mediation analysis of high-dimensional proteogenomic data.PLoS computational biology · 2026Article
- Plasma protein profiles in different heart failure phenotypes.ESC heart failure · 2026Article
- AI-based multiomics profiling reveals complementary omics contributions to personalized prediction of cardiovascular disease.Nature communications · 2026Article
- Genetic Association of Circulating Proteins and Gene Transcripts With Spontaneous Coronary Artery Dissection.Circulation. Genomic and precision medicine · 2026Article
- Integration of clinical and proteomic risk factors enhances prognostic modelling of incident vascular complications in type 2 diabetes.Cardiovascular diabetology · 2026Article
- Identification of a plasma proteomic signature associated with sudden cardiac death risk in the UK biobank.Frontiers in cardiovascular medicine · 2026Article
Corrections and comments
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Authors and funding
15 authors.
Funding
Abstract
Cardiac diseases represent common highly morbid conditions for which molecular mechanisms remain incompletely understood. Here we report the analysis of 1,459 protein measurements in 44,313 UK Biobank participants to characterize the circulating proteome associated with incident coronary artery disease, heart failure, atrial fibrillation and aortic stenosis. Multivariable-adjusted Cox regression identified 820 protein-disease associations-including 441 proteins-at Bonferroni-adjusted P < 8.6 × 10
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What Socratic 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 Socratic graph.