Department of Medicine, Division of Cardiovascular Medicine
Cardiology | Cardiovascular Diseases
Previous studies have shown several metabolic biomarkers to be associated with prevalent and incident atrial fibrillation (AF), but the results have not been replicated. We investigated metabolite profiles of 2,458 European ancestry participants from the Framingham Heart Study without AF at the index examination and followed them for 10 years for new-onset AF. Amino acids, organic acids, lipids, and other plasma metabolites were profiled by liquid chromatography-tandem mass spectrometry using fasting plasma samples. We conducted Cox proportional hazard analyses for association between metabolites and new-onset AF. We performed hypothesis-generating analysis to identify novel metabolites and hypothesis-testing analysis to confirm the previously reported associations between metabolites and AF. Mean age was 55.1 +/- 9.9 years, and 53% were women. Incident AF developed in 156 participants (6.3%) in 10 years of follow-up. A total of 217 metabolites were examined, consisting of 54 positively charged metabolites, 59 negatively charged metabolites, and 104 lipids. None of the 217 metabolites met our a priori specified Bonferroni corrected level of significance in the multivariate analyses. We were unable to replicate previous results demonstrating associations between metabolites that we had measured and AF. In conclusion, in our metabolomics approach, none of the metabolites we tested were significantly associated with the risk of future AF.
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Open Access funded by VSNU.
DOI of Published Version
Am J Cardiol. 2016 Nov 15;118(10):1493-1496. doi: 10.1016/j.amjcard.2016.08.010. Epub 2016 Aug 24. Link to article on publisher's site
The American journal of cardiology
Ko D, McManus DD, Rienstra M. (2016). Metabolomic Profiling in Relation to New-Onset Atrial Fibrillation (from the Framingham Heart Study). Open Access Articles. https://doi.org/10.1016/j.amjcard.2016.08.010. Retrieved from https://escholarship.umassmed.edu/oapubs/2990
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This work is licensed under a Creative Commons Attribution 4.0 License.