Key result
Four metabolic biomarkers (arachidonic acid, glycolic acid, L-serine, and palmitelaidic acid) distinguished atrial fibrillation from sinus rhythm with an area under the curve >0.8 (P<0.05).
Why the study?
Atrial fibrillation is the most common arrhythmia worldwide and carries serious complications, but metabolic biomarkers and metabolomic differences between paroxysmal AF and persistent AF require investigation.
Are there specific metabolic biomarkers that differentiate paroxysmal and persistent atrial fibrillation from sinus rhythm?
Observational (n=54)
Are there specific metabolic biomarkers that differentiate paroxysmal and persistent atrial fibrillation from sinus rhythm?
Effect estimate: AUC >0.8
p-value: p=<0.05
Specific metabolic biomarkers, including arachidonic acid, glycolic acid, L-serine, and palmitelaidic acid, can differentiate between paroxysmal and persistent atrial fibrillation with high sensitivity and specificity.
Background Atrial fibrillation (AF) is the most common type of arrhythmia worldwide and is associated with serious complications. This study investigated the metabolic biomarkers associated with AF and the differences in metabolomics and associated metabolic biomarkers between paroxysmal AF (AFPA) and persistent AF. Methods and Results Plasma samples were prospectively collected from patients with AF and patients in sinus rhythm with negative coronary angiography. The patients were divided into 3 groups: AFPA, persistent AF, and sinus rhythm (N=54). Metabolomics (n=36) using ultra‐high‐performance liquid chromatography mass spectrometry was used to detect differential metabolites that were validated in a new cohort (n=18). The validated metabolites from the validation phase were further analyzed by receiver operating characteristic. Among the 36 differential metabolites detected by omics assay, 4 were successfully validated with area under the curve >0.8 ( P <0.05). Bioinformatics analysis confirmed the enrichment pathways of unsaturated fatty acid biosynthesis, glyoxylate and dicarboxylate metabolism, and carbon metabolism. Arachidonic acid was a potential biomarker of AFPA, glycolic acid and L‐serine were biomarkers of AFPA and persistent AF, and palmitelaidic acid was a biomarker of AFPA. Conclusions In this metabolomics study, we detected 36 differential metabolites in AF, and 4 were validated with high sensitivity and specificity. These differential metabolites are potential biomarkers for diagnosis and monitoring of disease course. This study therefore provides new insights into the precision diagnosis and management of AF.
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Zhang et al. (2024) conducted an observational in Atrial Fibrillation (n=54). Metabolic biomarkers (arachidonic acid, glycolic acid, L-serine, palmitelaidic acid) vs. Sinus rhythm was evaluated on Validation of differential metabolites by receiver operating characteristic (AUC) (AUC >0.8, p=<0.05). Four metabolic biomarkers (arachidonic acid, glycolic acid, L-serine, and palmitelaidic acid) distinguished atrial fibrillation from sinus rhythm with an area under the curve >0.8 (P<0.05).
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