{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["12"],"submitter":["Li D"],"pubmed_abstract":["<h4>Background</h4>There have been sufficient previous studies demonstrating that hyperuricemia (HUA) is closely associated with the occurrence of atrial fibrillation (AF).The incidence of AF in patients with hyperuricemia is higher than that in the general population. Therefore, it is meaningful to explore the serum markers of AF in the HUA population and establish early warning indicators.<h4>Objective</h4>To preliminarily explore the correlation between HUA and AF at the metabolomics level, and to identify a group of metabolites with potential predictive power for AF that can be used for further large-scale studies.<h4>Methods</h4>This study used untargeted metabolomics technology to detect serum metabolites of patients with AF, patients with AFHUA, and control group. Receiver operator "],"journal":["Frontiers in cardiovascular medicine"],"pagination":["1678453"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12580274"],"repository":["biostudies-literature"],"pubmed_title":["A preliminary study on the early warning role of DL-malic acid in atrial fibrillation occurrence among patients with hyperuricemia."],"pmcid":["PMC12580274"],"pubmed_authors":["Li Z","Jin H","Li D","Lv S","Liu D","Yan X","Jiao H"],"additional_accession":[]},"is_claimable":false,"name":"A preliminary study on the early warning role of DL-malic acid in atrial fibrillation occurrence among patients with hyperuricemia.","description":"<h4>Background</h4>There have been sufficient previous studies demonstrating that hyperuricemia (HUA) is closely associated with the occurrence of atrial fibrillation (AF).The incidence of AF in patients with hyperuricemia is higher than that in the general population. Therefore, it is meaningful to explore the serum markers of AF in the HUA population and establish early warning indicators.<h4>Objective</h4>To preliminarily explore the correlation between HUA and AF at the metabolomics level, and to identify a group of metabolites with potential predictive power for AF that can be used for further large-scale studies.<h4>Methods</h4>This study used untargeted metabolomics technology to detect serum metabolites of patients with AF, patients with AFHUA, and control group. Receiver operator ","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025","modification":"2026-06-05T11:56:41.916Z","creation":"2026-05-16T03:13:25.337Z"},"accession":"S-EPMC12580274","cross_references":{"pubmed":["41189990"],"doi":["10.3389/fcvm.2025.1678453"]}}