Evidence map›Paper›PMID 27025885›Full record

ArticleJournal of the American Heart Association2016

Diastolic Left Ventricular Function in Relation to Circulating Metabolic Biomarkers in a General Population.

Zhen-Yu Zhang, Vannina G Marrachelli, Lutgarde Thijs, Wen-Yi Yang, Fang-Fei Wei, Daniel Monleon, Lotte Jacobs, Tim Nawrot, Peter Verhamme, Jens-Uwe Voigt and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

13 citing papers in PubMed, 25 citations in OpenAlex.

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  6. Review
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  8. Article
  9. Female Heart Health: Is GPER the Missing Link?Frontiers in endocrinology · 2019
    Review
  10. The Future of "Omics" in Hypertension.The Canadian journal of cardiology · 2017
    Review
  11. Article
  12. 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

13 authors at 5 institutions in 3 countries.

Zhen-Yu ZhangStudies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium.
Vannina G MarrachelliMetabolomic and Molecular Image Laboratory, Fundación Investigatión Clínico de Valencia (INCLIVA), Valencia, Spain.
Lutgarde ThijsStudies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium.
Wen-Yi YangStudies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium.
Fang-Fei WeiStudies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium.
Daniel MonleonMetabolomic and Molecular Image Laboratory, Fundación Investigatión Clínico de Valencia (INCLIVA), Valencia, Spain.
Lotte JacobsStudies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium.
Tim NawrotCentre for Environmental Sciences, University of Hasselt, Diepenbeek, Belgium Research Unit Environment and Health, KU Leuven Department of Public Health and Primary Care, University of Leuven, Belgium.
Peter VerhammeCentre for Molecular and Vascular Biology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium.
Jens-Uwe VoigtResearch Unit Cardiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium.
Tatiana KuznetsovaStudies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium.
Josep RedónMetabolomic and Molecular Image Laboratory, Fundación Investigatión Clínico de Valencia (INCLIVA), Valencia, Spain Hypertension Unit, Division of Internal Medicine, Hospital Clinico, University of Valencia, Spain Centro de Investigación Biomédica de la Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Madrid, Spain Instituto de Salud Carlos III, Madrid, Spain.
Jan A StaessenStudies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium R & D Group VitaK, Maastricht University, Maastricht, The Netherlands jan.staessen@med.kuleuven.be ja.staessen@maastrichtuniversity.nl.
KU Leuven · BEINCLIVA Health Research Institute · ESHasselt University · BEMaastricht University · NLUniversitat de València · ES

Funding

European Research Council 294713
6 · The paper itself

Abstract

backgroundThe metabolic signature associated with subclinical diastolic left ventricular (LV) dysfunction in the population remains ill defined. METHODS AND

resultsIn 711 randomly recruited Flemish (50.8% women; mean age, 50.8 years), we assessed echocardiographic Doppler indexes of diastolic LV function in relation to 44 circulating metabolites determined by nuclear magnetic resonance spectroscopy. In multivariable-adjusted regression analysis with Bonferroni correction of significance levels applied, peak a' decreased (P≤0.048) and e'/a' increased (P≤0.044) with circulating tyrosine, high-density lipoprotein apolipoproteins, glucose+glutamine, and an unidentified molecule. Effect sizes expressed per 1-SD increment in the metabolite ranged from -0.277 to -0.203 cm/s for peak a' and from +0.047 to +0.054 for e'/a'. In addition, peak a' decreased (P≤0.031) with glucose+2-aminobutyrate (-0.261 cm/s) and glucose+2-phosphoglycerate (-0.209 cm/s). In partial least square discriminant analysis (PLS-DA), metabolites associated with normal diastolic LV function (n=538) included glucose+glutamine, glucose+2-aminobutyrate, and glucose+2-phosphoglycerate, whereas those siding with abnormal function encompassed 4-aminobutyrate, 4-hydroxybutyrate, creatinine, and phosphocholine. In receiver operating characteristics plots, adding 3 latent factors identified by PLS-DA to prohormone brain natriuretic peptide increased (P<0.0001) the area under the curve from 0.64 (95% CI, 0.58-0.68) to 0.73 (0.68-0.78).

conclusionsIn a general population, circulating metabolites indicative of energy substrate utilization and protection against oxidative stress differentiated normal from abnormal diastolic LV function. These findings improve our understanding of the pathophysiology underlying deterioration of diastolic LV function and potentially point to new targets for prevention and treatment of this condition.

Indexed as

MetabolomicsVentricular Function, LeftAdultAgedArea Under CurveBiomarkersDiastoleDiscriminant AnalysisEchocardiography, DopplerEnergy MetabolismFemaleHumansLeast-Squares AnalysisLinear ModelsMagnetic Resonance SpectroscopyMaleBiomarkersbiomarkerdiastolic left ventricular functionmetabolomicsnuclear magnetic resonance spectroscopypopulation science

Identifiers

PMID27025885
PMCPMC4943244
OpenAlexW2232998965

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.