Proteomics Profiling and Risk of New‐Onset Atrial Fibrillation: Framingham Heart Study

Author:

Ko Darae1,Benson Mark D.2,Ngo Debby3,Yang Qiong4,Larson Martin G.4,Wang Thomas J.5,Trinquart Ludovic4,McManus David D.6,Lubitz Steven A.7,Ellinor Patrick T.7,Vasan Ramachandran S.18910,Gerszten Robert E.2,Benjamin Emelia J.18910,Lin Honghuang1110

Affiliation:

1. Section of Cardiovascular Medicine Department of Medicine Boston Medical Center Boston University School of Medicine Boston MA

2. Division of Cardiovascular Medicine Beth Israel Deaconess Medical Center Boston MA

3. Division of Pulmonary and Critical Care Medicine Beth Israel Deaconess Medical Center Boston MA

4. Department of Biostatistics Boston University School of Public Heath Boston MA

5. Division of Cardiovascular Medicine Vanderbilt University Nashville TN

6. Division of Cardiology Department of Medicine University of Massachusetts Medical School Worcester MA

7. Cardiovascular Research Center and Cardiac Arrhythmia Service Massachusetts General Hospital Harvard Medical School Boston MA

8. Section of Preventive Medicine Department of Medicine Boston Medical Center Boston University School of Medicine Boston MA

9. Department of Epidemiology Boston University School of Public Heath Boston MA

10. National Heart, Lung, and Blood Institute's Framingham Heart Study Boston University Framingham MA

11. Section of Computational Biomedicine Department of Medicine Boston Medical Center Boston University School of Medicine Boston MA

Abstract

Background Prior studies relating proteomics markers to incident AF screened for limited numbers of proteins. Methods and Results We performed proteomics assays among participants from the Framingham Heart Study Offspring attending their fifth examination. Plasma protein levels (n=1373) were measured by the SOMAscan proteomic profiling platform. We used robust inference for the Cox proportional hazards model to relate each protein level with incident AF. In addition, we examined the association between AF‐related genetic loci and levels of proteins associated with AF. Our study included 1885 participants (mean age 55±10 years, 54% women) who had proteomic profiles measured. A total of 349 participants developed AF during follow‐up (mean follow‐up 18.3 years). We observed that 8 proteins were significantly associated with incident AF after adjusting for age, sex, technical covariates, and correction for multiple testing ( P <0.05/1373=3.6×10 −5 ). After additional adjustments for clinical factors associated with AF, ADAMTS13 and N‐terminal pro‐B‐type natriuretic peptide remained significantly associated with the risk of incident AF (hazard ratio, 0.78; 95% CI, 0.70–0.88; and 1.44; 95% CI, 1.22–1.70, respectively; P <3.6×10 −5 for both). None of the 8 proteins were encoded by genes at AF‐related genetic loci previously identified by genome‐wide association studies. Conclusions We identified 8 proteins associated with risk of incident AF after adjustment for age and sex; 2 proteins were associated with AF after adjustment for AF risk factors. Future studies are needed to replicate our findings, identify whether the markers are mechanistically related to AF development, and whether they are clinically useful for identification of future AF risk.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Cardiology and Cardiovascular Medicine

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