ArticlePloS one2016
Whole Blood Gene Expression Differentiates between Atrial Fibrillation and Sinus Rhythm after Cardioversion.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 17 citations in OpenAlex.
- Paradoxical SERCA2a Dysregulation Contributes to Atrial Fibrillation in a Model of Diet-Induced Obesity.International journal of molecular sciences · 2025Article
- Comprehensive Analysis of Immune Cell Infiltration and M2-Like Macrophage Biomarker Expression Patterns in Atrial Fibrillation.International journal of general medicine · 2024Article
- From 'Omics to Multi-omics Technologies: the Discovery of Novel Causal Mediators.Current atherosclerosis reports · 2023Review
- Biomarkers associated with rhythm status after cardioversion in patients with atrial fibrillation.Scientific reports · 2022Article
- Identification of Differentially Expressed Genes and Pathways in Human Atrial Fibrillation by Bioinformatics Analysis.International journal of general medicine · 2022Article
- Insight into atrial fibrillation through analysis of the coding transcriptome in humans.Biophysical reviews · 2020Review
- Natriuretic peptides: biomarkers for atrial fibrillation management.Clinical research in cardiology : official journal of the German Cardiac Society · 2020Review
- Investigation of leukocyteExperimental and therapeutic medicine · 2019Article
- The Effect of Scaffold Modulus on the Morphology and Remodeling of Fetal Mesenchymal Stem Cells.Frontiers in physiology · 2018Article
- Leukocyte TRP channel gene expressions in patients with non-valvular atrial fibrillation.Scientific reports · 2017Article
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Authors and funding
10 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTreatment to restore sinus rhythm among patients with atrial fibrillation (AF) has limited long-term success rates. Gene expression profiling may provide new insights into AF pathophysiology.
objectiveTo identify biomarkers and improve our understanding of AF pathophysiology by comparing whole blood gene expression before and after electrical cardioversion (ECV).
methodsIn 46 patients with persistent AF that underwent ECV, whole blood samples were collected 1-2 hours before and 4 to 6 weeks after successful cardioversion. The paired samples were sent for microarray and plasma biomarker comparison.
resultsOf 13,942 genes tested, expression of SLC25A20 and PDK4 had the strongest associations with AF. Post-cardioversion, SLC25A20 and PDK4 expression decreased by 0.8 (CI 0.7-0.8, p = 2.0x10-6) and 0.7 (CI 0.6-0.8, p = 3.0x10-5) fold respectively. Median N-terminal pro B-type natriuretic peptide (NT-proBNP) concentrations decreased from 127.7 pg/mL to 44.9 pg/mL (p = 2.3x10-13) after cardioversion. AF discrimination models combining NT-proBNP and gene expression (NT-proBNP + SLC25A20 area under the curve = 0.88, NT-proBNP + PDK4 AUC = 0.86) had greater discriminative capacity as compared with NT-proBNP alone (AUC = 0.82). Moreover, a model including NT-proBNP, SLC25A20 and PDK4 significantly improved AF discrimination as compared with other models (AUC = 0.87, Net Reclassification Index >0.56, p<5.8x10-3). We validated the association between SLC25A20 and PDK4 with AF in an independent sample of 17 patients.
conclusionThis study demonstrates that SLC25A20, PDK4, and NT-proBNP have incremental utility as biomarkers discriminating AF from sinus rhythm. Elevated SLC25A20 and PDK4 expression during AF indicates an important role for energy metabolism in AF.
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