Literature DB >> 34794617

Proteomics and Risk of Atrial Fibrillation in Older Adults (From the Atherosclerosis Risk in Communities [ARIC] Study).

Faye L Norby1, Weihong Tang2, James S Pankow2, Pamela L Lutsey2, Alvaro Alonso3, Brian Steffan2, Lin Y Chen4, Michael Zhang4, Nathan D Shippee5, Christie M Ballantyne6, Eric Boerwinkle7, Josef Coresh8, Aaron R Folsom2.   

Abstract

Plasma proteomic profiling may aid in the discovery of novel biomarkers upstream of the development of atrial fibrillation (AF). We used data from the Atherosclerosis Risk in Communities study to examine the relation between large-scale proteomics and incident AF in a cohort of older-aged adults in the United States. We quantified 4,877 plasma proteins in Atherosclerosis Risk in Communities participants at visit 5 (2011-2013) using an aptamer-based proteomic profiling platform. We used Cox proportional hazards models to assess the association between protein levels and incident AF, and explored relation of selected protein biomarkers using annotated pathway analysis. Our study included 4,668 AF-free participants (mean age 75 ± 5 years; 59% female; 20% Black race) with proteomic measures. A total of 585 participants developed AF over a mean follow-up of 5.7 ± 1.7 years. After adjustment for clinical factors associated with AF, N-terminal pro-B-type natriuretic peptide (NT-proBNP) was associated with the risk of incident AF (hazard ratio, 1.82; 95% CI, 1.68 to 1.98; p, 2.91 × 10-45 per doubling of NT-proBNP). In addition, 36 other proteins were also significantly associated with incident AF after Bonferroni correction. We further adjusted for medication use and estimated glomerular filtration rate and found 17 proteins, including angiopoietin-2 and transgelin, that remained significantly associated with incident AF. Pathway analyses implicated the inhibition of matrix metalloproteases as the top canonical pathway in AF pathogenesis. In conclusion, using a large-scale proteomic platform, we identified both novel and established proteins associated with incident AF and explored mechanistic pathways of AF development.
Copyright © 2021 Elsevier Inc. All rights reserved.

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Year:  2021        PMID: 34794617      PMCID: PMC8608272          DOI: 10.1016/j.amjcard.2021.08.064

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   3.133


  30 in total

Review 1.  Advances in human proteomics at high scale with the SOMAscan proteomics platform.

Authors:  Larry Gold; Jeffrey J Walker; Sheri K Wilcox; Stephen Williams
Journal:  N Biotechnol       Date:  2011-12-07       Impact factor: 5.079

2.  Discovery of new biomarkers for atrial fibrillation using a custom-made proteomics chip.

Authors:  Lars Lind; Johan Sundström; Markus Stenemo; Emil Hagström; Johan Ärnlöv
Journal:  Heart       Date:  2016-09-08       Impact factor: 5.994

3.  B-type natriuretic peptide and C-reactive protein in the prediction of atrial fibrillation risk: the CHARGE-AF Consortium of community-based cohort studies.

Authors:  Moritz F Sinner; Katherine A Stepas; Carlee B Moser; Bouwe P Krijthe; Thor Aspelund; Nona Sotoodehnia; João D Fontes; A Cecile J W Janssens; Richard A Kronmal; Jared W Magnani; Jacqueline C Witteman; Alanna M Chamberlain; Steven A Lubitz; Renate B Schnabel; Ramachandran S Vasan; Thomas J Wang; Sunil K Agarwal; David D McManus; Oscar H Franco; Xiaoyan Yin; Martin G Larson; Gregory L Burke; Lenore J Launer; Albert Hofman; Daniel Levy; John S Gottdiener; Stefan Kääb; David Couper; Tamara B Harris; Brad C Astor; Christie M Ballantyne; Ron C Hoogeveen; Andrew E Arai; Elsayed Z Soliman; Patrick T Ellinor; Bruno H C Stricker; Vilmundur Gudnason; Susan R Heckbert; Michael J Pencina; Emelia J Benjamin; Alvaro Alonso
Journal:  Europace       Date:  2014-07-18       Impact factor: 5.214

4.  N-terminal pro-B-type natriuretic peptide is a major predictor of the development of atrial fibrillation: the Cardiovascular Health Study.

Authors:  Kristen K Patton; Patrick T Ellinor; Susan R Heckbert; Robert H Christenson; Christopher DeFilippi; John S Gottdiener; Richard A Kronmal
Journal:  Circulation       Date:  2009-10-19       Impact factor: 29.690

5.  Protein Biomarkers and Risk of Atrial Fibrillation: The FHS.

Authors:  Laila Staerk; Sarah R Preis; Honghuang Lin; Steven A Lubitz; Patrick T Ellinor; Daniel Levy; Emelia J Benjamin; Ludovic Trinquart
Journal:  Circ Arrhythm Electrophysiol       Date:  2020-01-15

6.  Aptamer-based multiplexed proteomic technology for biomarker discovery.

Authors:  Larry Gold; Deborah Ayers; Jennifer Bertino; Christopher Bock; Ashley Bock; Edward N Brody; Jeff Carter; Andrew B Dalby; Bruce E Eaton; Tim Fitzwater; Dylan Flather; Ashley Forbes; Trudi Foreman; Cate Fowler; Bharat Gawande; Meredith Goss; Magda Gunn; Shashi Gupta; Dennis Halladay; Jim Heil; Joe Heilig; Brian Hicke; Gregory Husar; Nebojsa Janjic; Thale Jarvis; Susan Jennings; Evaldas Katilius; Tracy R Keeney; Nancy Kim; Tad H Koch; Stephan Kraemer; Luke Kroiss; Ngan Le; Daniel Levine; Wes Lindsey; Bridget Lollo; Wes Mayfield; Mike Mehan; Robert Mehler; Sally K Nelson; Michele Nelson; Dan Nieuwlandt; Malti Nikrad; Urs Ochsner; Rachel M Ostroff; Matt Otis; Thomas Parker; Steve Pietrasiewicz; Daniel I Resnicow; John Rohloff; Glenn Sanders; Sarah Sattin; Daniel Schneider; Britta Singer; Martin Stanton; Alana Sterkel; Alex Stewart; Suzanne Stratford; Jonathan D Vaught; Mike Vrkljan; Jeffrey J Walker; Mike Watrobka; Sheela Waugh; Allison Weiss; Sheri K Wilcox; Alexey Wolfson; Steven K Wolk; Chi Zhang; Dom Zichi
Journal:  PLoS One       Date:  2010-12-07       Impact factor: 3.240

7.  Causal analysis approaches in Ingenuity Pathway Analysis.

Authors:  Andreas Krämer; Jeff Green; Jack Pollard; Stuart Tugendreich
Journal:  Bioinformatics       Date:  2013-12-13       Impact factor: 6.937

8.  Stability and reproducibility of proteomic profiles measured with an aptamer-based platform.

Authors:  Claire H Kim; Shelley S Tworoger; Meir J Stampfer; Simon T Dillon; Xuesong Gu; Sherilyn J Sawyer; Andrew T Chan; Towia A Libermann; A Heather Eliassen
Journal:  Sci Rep       Date:  2018-05-30       Impact factor: 4.379

9.  Proteomics Profiling and Risk of New-Onset Atrial Fibrillation: Framingham Heart Study.

Authors:  Darae Ko; Mark D Benson; Debby Ngo; Qiong Yang; Martin G Larson; Thomas J Wang; Ludovic Trinquart; David D McManus; Steven A Lubitz; Patrick T Ellinor; Ramachandran S Vasan; Robert E Gerszten; Emelia J Benjamin; Honghuang Lin
Journal:  J Am Heart Assoc       Date:  2019-03-19       Impact factor: 5.501

10.  Assessment of Variability in the SOMAscan Assay.

Authors:  Julián Candia; Foo Cheung; Yuri Kotliarov; Giovanna Fantoni; Brian Sellers; Trevor Griesman; Jinghe Huang; Sarah Stuccio; Adriana Zingone; Bríd M Ryan; John S Tsang; Angélique Biancotto
Journal:  Sci Rep       Date:  2017-10-27       Impact factor: 4.379

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  1 in total

Review 1.  Analytical Considerations of Large-Scale Aptamer-Based Datasets for Translational Applications.

Authors:  Will Jiang; Jennifer C Jones; Uma Shankavaram; Mary Sproull; Kevin Camphausen; Andra V Krauze
Journal:  Cancers (Basel)       Date:  2022-04-29       Impact factor: 6.639

  1 in total

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