Evidence map›Paper›PMID 30979411›Full record

ArticleThe American journal of cardiology2019

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

Alvaro Alonso, Bing Yu, Yan V Sun, Lin Y Chen, Laura R Loehr, Wesley T O'Neal, Elsayed Z Soliman, Eric Boerwinkle

Open access · greenAbstract read
In one paragraph

Article in The American journal of cardiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 3 pooled it
3.3field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 3 syntheses or guidelines pooled it, 53 citations in OpenAlex.

  1. Dietary interventions in the management of atrial fibrillation.Frontiers in cardiovascular medicine · 2024
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Serum Metabolomic Markers of Dietary Potassium and Risk of CKD.Clinical journal of the American Society of Nephrology : CJASN · 2025
    Article
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  9. Review
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  12. Genetics, transcriptomics, metagenomics, and metabolomics in the pathogenesis and prediction of atrial fibrillation.European heart journal supplements : journal of the European Society of Cardiology · 2024
    Article
  13. Article
  14. Article
  15. Unlocking the dark matter: noncoding RNAs and RNA modifications in cardiac aging.American journal of physiology. Heart and circulatory physiology · 2024
    Review
  16. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 6 institutions in 1 country.

Alvaro AlonsoDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia. Electronic address: alvaro.alonso@emory.edu.
Bing YuUniversity of Texas Health Sciences Center, Houston, Texas.
Yan V SunDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia.
Lin Y ChenDivision of Cardiology, University of Minnesota Medical School, Minneapolis, Minnesota.
Laura R LoehrUniversity of North Carolina, Chapel Hill, North Carolina.
Wesley T O'NealDivision of Cardiology, School of Medicine, Emory University, Atlanta, Georgia.
Elsayed Z SolimanDepartment of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina.
Eric BoerwinkleUniversity of Texas Health Sciences Center, Houston, Texas; Human Genome Sequence Center, Baylor College of Medicine, Houston, Texas.
Emory University · USBaylor College of Medicine · USThe University of Texas Health Science Center at Houston · USUniversity of Minnesota Medical Center · USUniversity of North Carolina at Chapel Hill · USWake Forest University · US

Funding

Metabolic Signatures Underlying Cardiac Function for Heart Failure in Multi-Ethnic PopulationsR01HL141824 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI YU, BING · 2018 to 2021
$3.1M
GWA for Gene-Environment Interaction Effects Influencing CHDU01HG004402 · NHGRI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BOERWINKLE, ERIC A. · 2007 to 2009
$1.6M
Trans-omics Analysis to Unravel Molecular Underpinnings of Heart, Lung and Blood Disease Risk FactorsR01HL142003 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI YU, BING · 2018 to 2019
$934k
American Heart Association-American Stroke Association 16EIA26410001American Heart Association-American Stroke Association 17SDG33661228NHGRI NIH HHS U01 HG004402NHLBI NIH HHS HHSN268201700001CNHLBI NIH HHS HHSN268201700001INHLBI NIH HHS HHSN268201700002CNHLBI NIH HHS HHSN268201700002INHLBI NIH HHS HHSN268201700003CNHLBI NIH HHS HHSN268201700003INHLBI NIH HHS HHSN268201700004CNHLBI NIH HHS HHSN268201700004INHLBI NIH HHS HHSN268201700005CNHLBI NIH HHS HHSN268201700005INHLBI NIH HHS R01 HL141824NHLBI NIH HHS R01 HL142003
6 · The paper itself

Abstract

We have previously identified associations of 2 circulating secondary bile acids (glycocholenate and glycolithocolate sulfate) with atrial fibrillation (AF) risk in 1,919 blacks in the Atherosclerosis Risk in Communities cohort. We aimed to replicate these findings in an independent sample of 2,003 white and black Atherosclerosis Risk in Communities participants, and performed a new metabolomic analysis in the combined sample of 3,922 participants, followed between 1987 and 2013. Metabolomic profiling was done in baseline serum samples using gas and liquid chromatography mass spectrometry. AF was ascertained from electrocardiograms, hospitalizations, and death certificates. We used multivariable Cox regression to estimate hazard ratios (HR) and 95% confidence intervals (95%CI) of AF by 1 standard deviation difference of metabolite levels. Over a mean follow-up of 20 years, 608 participants developed AF. Glycocholenate sulfate was associated with AF in the replication and combined samples (HR 1.10, 95% CI 1.00, 1.21 and HR 1.13, 95% CI 1.04, 1.22, respectively). Glycolithocolate sulfate was not related to AF risk in the replication sample (HR 1.02, 95% CI 0.92, 1.13). An analysis of 245 metabolites in the combined cohort identified 3 additional metabolites associated with AF after multiple-comparison correction: pseudouridine (HR 1.18, 95% CI 1.10, 1.28), uridine (HR 0.86, 95% CI 0.79, 0.93) and acisoga (HR 1.17, 95% CI 1.09, 1.26). In conclusion, we replicated a prospective association among a previously identified secondary bile acid, glycocholenate sulfate, and AF incidence, and identified new metabolites involved in nucleoside and polyamine metabolism as markers of AF risk.

Indexed as

AdultAtherosclerosisAtrial FibrillationBiomarkersBlack or African AmericanCohort StudiesFemaleGlycocholic AcidHumansIncidenceMaleMetabolomicsMiddle AgedProportional Hazards ModelsPyrrolidinonesUridineBiomarkersGlycocholic AcidN-(3-acetamidopropyl)pyrrolidin-2-onePyrrolidinonesUridine

Identifiers

PMID30979411
PMCPMC6529276
OpenAlexW2949402948

What OpenQuestion holds

Textmetadata
LicenceTDM
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.