ArticleEuropace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology2023
A proteomic analysis of atrial fibrillation in a prospective longitudinal cohort (AGES-Reykjavik study).
Article in 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, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.
- Circulating Proteomics and Risk of Atrial Fibrillation: A Systematic Review of Cohort Studies.Journal of cellular and molecular medicine · 2025Pooled it
- Integrating Genomics and Proteomics to Identify Causal Proteins and Biologic Pathways for Incident Atrial Fibrillation in CKD.Journal of the American Society of Nephrology : JASN · 2026Article
- Long-term temporal stability of circulating proteins in older adults.Nature communications · 2026Article
- Genetic determinants of heart failure susceptibility and response in the collaborative cross mouse population.Genetics · 2026Article
- An epigenomic investigation of atrial fibrillation in a matched left and right atrial human cohort.Clinical epigenetics · 2026Article
- The impact of low-frequency genetic variants on serum protein levels.bioRxiv : the preprint server for biology · 2026Article
- Circulating causal protein networks linked to future risk of myocardial infarction.Nature communications · 2025Article
- Systematic comparison of observational and Mendelian Randomization estimates for cardiometabolic proteomic signatures.medRxiv : the preprint server for health sciences · 2025Article
- Long-term temporal stability of circulating proteins in older adults.bioRxiv : the preprint server for biology · 2025Article
- Proteomic biomarkers and biological pathways associated with atrial fibrillation in heart failure patients with reduced ejection fraction.Heart rhythm O2 · 2025Article
- Machine Learning-Based Plasma Protein Risk Score Improves Atrial Fibrillation Prediction Over Clinical and Genomic Models.Circulation. Genomic and precision medicine · 2025Article
- Proteomic Signatures for Risk Prediction of Atrial Fibrillation.Circulation · 2025Article
- X-Chromosome-Linked miRNAs Regulate Sex Differences in Cardiac Physiology.Circulation research · 2025Article
- Cardiac arrhythmia in individuals with steroid sulfatase deficiency (X-linked ichthyosis): candidate anatomical and biochemical pathways.Essays in biochemistry · 2024Review
- Precision Medicine for Cardiovascular Prevention and Population Health: A Bridge Too Far?Circulation · 2024Review
- What the blood knows: predicting atrial fibrillation risk in hypertrophic cardiomyopathy patients.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 · 2024Article
- Atrial Proteomic Profiling Reveals a Switch Towards Profibrotic Gene Expression Program in CREM-IbΔC-X Mice with Persistent Atrial Fibrillation.bioRxiv : the preprint server for biology · 2024Article
Corrections and comments
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Authors and funding
15 authors at 5 institutions in 3 countries.
Funding
Abstract
aimsAtrial fibrillation (AF) is associated with high risk of comorbidities and mortality. Our aim was to examine causal and predictive relationships between 4137 serum proteins and incident AF in the prospective population-based Age, Gene/Environment Susceptibility-Reykjavik (AGES-Reykjavik) study. METHODS AND
resultsThe study included 4765 participants, of whom 1172 developed AF. Cox proportional hazards regression models were fitted for 4137 baseline protein measurements adjusting for known risk factors. Protein associations were tested for replication in the Cardiovascular Health Study (CHS). Causal relationships were examined in a bidirectional, two-sample Mendelian randomization analysis. The time-dependent area under the receiver operating characteristic curve (AUC)-statistic was examined as protein levels and an AF-polygenic risk score (PRS) were added to clinical risk models. The proteomic signature of incident AF consisted of 76 proteins, of which 63 (83%) were novel and 29 (38%) were replicated in CHS. The signature included both N-terminal prohormone of brain natriuretic peptide (NT-proBNP)-dependent (e.g. CHST15, ATP1B1, and SVEP1) and independent components (e.g. ASPN, AKR1B, and LAMA1/LAMB1/LAMC1). Nine causal candidates were identified (TAGLN, WARS, CHST15, CHMP3, COL15A1, DUSP13, MANBA, QSOX2, and SRL). The reverse causal analysis suggested that most AF-associated proteins were affected by the genetic liability to AF. N-terminal prohormone of brain natriuretic peptide improved the prediction of incident AF events close to baseline with further improvements gained by the AF-PRS at all time points.
conclusionThe AF proteomic signature includes biologically relevant proteins, some of which may be causal. It mainly reflects an NT-proBNP-dependent consequence of the genetic liability to AF. N-terminal prohormone of brain natriuretic peptide is a promising marker for incident AF in the short term, but risk assessment incorporating a PRS may improve long-term risk assessment.
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