ReviewCardiovascular research2021
New biomarkers from multiomics approaches: improving risk prediction of atrial fibrillation.
Review in Cardiovascular research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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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.
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.
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Who cites it
15 citing papers in PubMed.
- Predictive value of NT pro BNP for new-onset atrial fibrillation in heart failure and preserved ejection fraction.ESC heart failure · 2024Trial
- Targeted Quantitative Metabolomics and Lipidomics Reveal Dysregulated Metabolic Networks and a Serum Candidate Biomarker for Atrial Fibrillation.Metabolites · 2026Article
- Pharmacological strategies for myocardial protection in cardiac surgery: current science and the emerging role of multi-omics and artificial intelligence.Frontiers in cardiovascular medicine · 2026Review
- PVN-centered multi-omics and single-cell analyses suggest shared inflammatory and immune features in acute myocardial infarction-associated ventricular arrhythmia and atrial fibrillation.Frontiers in cardiovascular medicine · 2026Article
- Review
- The cardiac blood transcriptome predicts de novo onset of atrial fibrillation in heart failure.Journal of molecular and cellular cardiology plus · 2024Article
- Metabolomics and Biomarkers for Paroxysmal and Persistent Atrial Fibrillation.Journal of the American Heart Association · 2024Article
- SingPro: a knowledge base providing single-cell proteomic data.Nucleic acids research · 2024Article
- Bayesian linear mixed model with multiple random effects for prediction analysis on high-dimensional multi-omics data.Bioinformatics (Oxford, England) · 2023Article
- Identification of a Novel Target Implicated in Chronic Obstructive Sleep Apnea-Related Atrial Fibrillation by Integrative Analysis of Transcriptome and Proteome.Journal of inflammation research · 2023Article
- A Predictive Model of New-Onset Atrial Fibrillation After Percutaneous Coronary Intervention in Acute Myocardial Infarction Based on the Lymphocyte to C-Reactive Protein Ratio.Journal of inflammation research · 2023Article
- An integrated signature of extracellular matrix proteins and a diastolic function imaging parameter predicts post-MI long-term outcomes.Frontiers in cardiovascular medicine · 2023Article
- The association between eicosanoids and incident atrial fibrillation in the Framingham Heart Study.Scientific reports · 2022Article
- The Future of Biomarkers in Veterinary Medicine: Emerging Approaches and Associated Challenges.Animals : an open access journal from MDPI · 2022Review
- Development and Validation of 3-Year Atrial Fibrillation Prediction Models Using Electronic Health Record With or Without Standardized Electrocardiogram Diagnosis and a Performance Comparison Among Models.Journal of the American Heart Association · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Atrial fibrillation (AF) is a common cardiac arrhythmia leading to many adverse outcomes and increased mortality. Yet the molecular mechanisms underlying AF remain largely unknown. Recent advances in high-throughput technologies make large-scale molecular profiling possible. In the past decade, multiomics studies of AF have identified a number of potential biomarkers of AF. In this review, we focus on the studies of multiomics profiles with AF risk. We summarize recent advances in the discovery of novel biomarkers for AF through multiomics studies. We also discuss limitations and future directions in risk assessment and discovery of therapeutic targets for AF.
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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.