Literature DB >> 27666170

Metabolomic Profiling in Relation to New-Onset Atrial Fibrillation (from the Framingham Heart Study).

Darae Ko1, Eric M Riles2, Ernaldo G Marcos3, Jared W Magnani2, Steven A Lubitz4, Honghuang Lin5, Michelle T Long6, Renate B Schnabel7, David D McManus8, Patrick T Ellinor4, S Vasan Ramachandran9, Thomas J Wang10, Robert E Gerszten11, Emelia J Benjamin9, Xiaoyan Yin12, Michiel Rienstra13.   

Abstract

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.
Copyright © 2016 Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 27666170      PMCID: PMC5097881          DOI: 10.1016/j.amjcard.2016.08.010

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  24 in total

1.  Impaired myofibrillar energetics and oxidative injury during human atrial fibrillation.

Authors:  M J Mihm; F Yu; C A Carnes; P J Reiser; P M McCarthy; D R Van Wagoner; J A Bauer
Journal:  Circulation       Date:  2001-07-10       Impact factor: 29.690

2.  Characterization of cardiac oxidative stress levels in patients with atrial fibrillation.

Authors:  Ayako Okada; Yuichiro Kashima; Takeshi Tomita; Takahiro Takeuchi; Kazunori Aizawa; Masafumi Takahashi; Uichi Ikeda
Journal:  Heart Vessels       Date:  2014-09-27       Impact factor: 2.037

3.  Gender-specific relationship between serum uric acid level and atrial fibrillation prevalence.

Authors:  Shinya Suzuki; Koichi Sagara; Takayuki Otsuka; Shunsuke Matsuno; Ryuichi Funada; Tokuhisa Uejima; Yuji Oikawa; Akira Koike; Kazuyuki Nagashima; Hajime Kirigaya; Junji Yajima; Hitoshi Sawada; Tadanori Aizawa; Takeshi Yamashita
Journal:  Circ J       Date:  2011-12-08       Impact factor: 2.993

4.  Atrial high energy phosphate content and mitochondrial enzyme activity during chronic atrial fibrillation.

Authors:  J Ausma; W A Coumans; H Duimel; G J Van der Vusse; M A Allessie; M Borgers
Journal:  Cardiovasc Res       Date:  2000-09       Impact factor: 10.787

5.  Association of serum uric acid with incident atrial fibrillation (from the Atherosclerosis Risk in Communities [ARIC] study).

Authors:  Leonardo Tamariz; Sunil Agarwal; Elsayed Z Soliman; Alanna M Chamberlain; Ronald Prineas; Aaron R Folsom; Marietta Ambrose; Alvaro Alonso
Journal:  Am J Cardiol       Date:  2011-08-17       Impact factor: 2.778

6.  Proteomic and metabolomic analysis of atrial profibrillatory remodelling in congestive heart failure.

Authors:  Ayesha I De Souza; Sophie Cardin; Robin Wait; Yuen-Li Chung; Meeraa Vijayakumar; Ange Maguy; A John Camm; Stanley Nattel
Journal:  J Mol Cell Cardiol       Date:  2010-07-23       Impact factor: 5.000

7.  Analysis of oxidative stress expressed by urinary level of 8-hydroxy-2'-deoxyguanosine and biopyrrin in atrial fibrillation: effect of sinus rhythm restoration.

Authors:  Kensuke Toyama; Hiroshige Yamabe; Takashi Uemura; Yasuhiro Nagayoshi; Kenji Morihisa; Junjiroh Koyama; Hisanori Kanazawa; Tadashi Hoshiyama; Hisao Ogawa
Journal:  Int J Cardiol       Date:  2012-10-03       Impact factor: 4.164

8.  Oxidative stress and atrial fibrillation after cardiac surgery: a case-control study.

Authors:  Basel Ramlawi; Hasan Otu; Shigetoshi Mieno; Munir Boodhwani; Neel R Sodha; Richard T Clements; Cesario Bianchi; Frank W Sellke
Journal:  Ann Thorac Surg       Date:  2007-10       Impact factor: 4.330

9.  Pharmacometabolomics reveals racial differences in response to atenolol treatment.

Authors:  William R Wikoff; Reginald F Frye; Hongjie Zhu; Yan Gong; Stephen Boyle; Erik Churchill; Rhonda M Cooper-Dehoff; Amber L Beitelshees; Arlene B Chapman; Oliver Fiehn; Julie A Johnson; Rima Kaddurah-Daouk
Journal:  PLoS One       Date:  2013-03-11       Impact factor: 3.240

10.  Simple risk model predicts incidence of atrial fibrillation in a racially and geographically diverse population: the CHARGE-AF consortium.

Authors:  Alvaro Alonso; Bouwe P Krijthe; Thor Aspelund; Katherine A Stepas; Michael J Pencina; Carlee B Moser; Moritz F Sinner; 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; Sunil K Agarwal; David D McManus; Patrick T Ellinor; Martin G Larson; Gregory L Burke; Lenore J Launer; Albert Hofman; Daniel Levy; John S Gottdiener; Stefan Kääb; David Couper; Tamara B Harris; Elsayed Z Soliman; Bruno H C Stricker; Vilmundur Gudnason; Susan R Heckbert; Emelia J Benjamin
Journal:  J Am Heart Assoc       Date:  2013-03-18       Impact factor: 5.501

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  12 in total

1.  Comprehensive metabolomic and proteomic analyses reveal candidate biomarkers and related metabolic networks in atrial fibrillation.

Authors:  Juntuo Zhou; Lijie Sun; Liwen Chen; Shuwang Liu; Lijun Zhong; Ming Cui
Journal:  Metabolomics       Date:  2019-06-21       Impact factor: 4.290

2.  Serum Metabolomics and Incidence of Atrial Fibrillation (from the Atherosclerosis Risk in Communities Study).

Authors:  Alvaro Alonso; Bing Yu; Yan V Sun; Lin Y Chen; Laura R Loehr; Wesley T O'Neal; Elsayed Z Soliman; Eric Boerwinkle
Journal:  Am J Cardiol       Date:  2019-03-18       Impact factor: 2.778

3.  The Biomarkers NT-proBNP and CA-125 are Elevated in Patients with Idiopathic Atrial Fibrillation.

Authors:  Elton Amp Dudink; Bob Weijs; Samantha Tull; Justin Glm Luermans; Larissa Fabritz; Winnie Chua; Michiel Rienstra; Isabelle C Van Gelder; Ulrich Schotten; Paulus Kirchhof; Harry Jgm Crijns
Journal:  J Atr Fibrillation       Date:  2018-12-31

Review 4.  New biomarkers from multiomics approaches: improving risk prediction of atrial fibrillation.

Authors:  Jelena Kornej; Vanessa A Hanger; Ludovic Trinquart; Darae Ko; Sarah R Preis; Emelia J Benjamin; Honghuang Lin
Journal:  Cardiovasc Res       Date:  2021-06-16       Impact factor: 10.787

5.  Plasma Concentrations and Dietary Intakes of Choline and Betaine in Association With Atrial Fibrillation Risk: Results From 3 Prospective Cohorts With Different Health Profiles.

Authors:  Hui Zuo; Gard F T Svingen; Grethe S Tell; Per M Ueland; Stein E Vollset; Eva R Pedersen; Arve Ulvik; Klaus Meyer; Jan E Nordrehaug; Dennis W T Nilsen; Kaare H Bønaa; Ottar Nygård
Journal:  J Am Heart Assoc       Date:  2018-04-12       Impact factor: 5.501

6.  Combinational Biomarkers for Atrial Fibrillation Derived from Atrial Appendage and Plasma Metabolomics Analysis.

Authors:  Songqing Lai; Xiumeng Hua; Ran Gao; Liang Zeng; Jiangping Song; Jichun Liu; Jing Zhang
Journal:  Sci Rep       Date:  2018-11-16       Impact factor: 4.379

7.  Targeting amino acids metabolic profile to identify novel metabolic characteristics in atrial fibrillation.

Authors:  Jianqing She; Manyun Guo; Hongbing Li; Junhui Liu; Xiao Liang; Peining Liu; Bo Zhou; Simin Liu; Yangyang Deng; Bowen Lou; Chaofeng Sun; Zuyi Yuan; Yue Wu
Journal:  Clin Sci (Lond)       Date:  2018-10-05       Impact factor: 6.124

8.  Multicohort Metabolomics Analysis Discloses 9-Decenoylcarnitine to Be Associated With Incident Atrial Fibrillation.

Authors:  Lars Lind; Samira Salihovic; Johan Sundström; Corey D Broeckling; Patrik K Magnusson; Jessica Prenni; Tove Fall; Johan Ärnlöv
Journal:  J Am Heart Assoc       Date:  2021-01-05       Impact factor: 5.501

9.  Application of Differential Network Enrichment Analysis for Deciphering Metabolic Alterations.

Authors:  Gayatri R Iyer; Janis Wigginton; William Duren; Jennifer L LaBarre; Marci Brandenburg; Charles Burant; George Michailidis; Alla Karnovsky
Journal:  Metabolites       Date:  2020-11-24

10.  Glycolysis Metabolites and Risk of Atrial Fibrillation and Heart Failure in the PREDIMED Trial.

Authors:  Nerea Becerra-Tomás; Miguel Ruiz-Canela; Pablo Hernández-Alonso; Mònica Bulló; Jun Li; Marta Guasch-Ferré; Estefanía Toledo; Clary B Clish; Ramon Estruch; Emilio Ros; Montserrat Fitó; Chih-Hao Lee; Kerry Pierce; Fernando Arós; Lluís Serra-Majem; Liming Liang; Cristina Razquin; Enrique Gómez-Gracia; Miguel A Martínez-González; Frank B Hu; Dolores Corella; Jordi Salas-Salvadó
Journal:  Metabolites       Date:  2021-05-11
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