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Vicheth Virak Panhaleap Meas Vanna Hen Pengkhun Nov Sokheng Phal Ngare Nadjingar Vahid Say Sokhuon Cheat Rattanaricky Ung Nora Iv Ratanak Pich Dinarong Phan Sothearith Pich Sereyvathana Kong

Abstract

Abstract


Introduction: Arrhythmias, characterized by abnormal heart rhythms, are a significant public health concern. The relationship between circulating metabolic biomarkers and arrhythmia development is actively investigated. Mendelian randomization (MR) offers insight into causal links between metabolic biomarkers and disease outcomes.


Methods: In this two-sample MR study, we used data from the NHGRI-EBI GWAS Catalog and UK Biobank to explore causal relationships between metabolic biomarkers and arrhythmia risk. Rigorous criteria selected genetic instrumental variables and MR methods like inverse variance weighting were applied.


Results: Our analysis identified three metabolic biomarkers associated with increased arrhythmia risk: creatinine, tyrosine, and the phospholipids to total lipids ratio in very large HDL. These findings suggest specific metabolic disturbances may contribute to arrhythmia development.


Conclusion: This MR study reveals insights into the links between metabolic biomarkers and arrhythmia risk. These associations suggest metabolic factors play a role in arrhythmia pathogenesis, offering opportunities for targeted interventions and personalized treatments. Further research is needed to understand mechanisms and clinical implications. 


 

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