Evidence map›Paper›PMID 29872056›Full record

ArticleScientific reports2018

Association of circulating metabolites with healthy diet and risk of cardiovascular disease: analysis of two cohort studies.

Tasnime Akbaraly, Peter Würtz, Archana Singh-Manoux, Martin J Shipley, Rita Haapakoski, Maili Lehto, Catherine Desrumaux, Mika Kähönen, Terho Lehtimäki, Vera Mikkilä and 7 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
3.2field-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

50 citing papers in PubMed, 1 synthesis or guideline pooled it, 88 citations in OpenAlex.

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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

17 authors at 11 institutions in 4 countries.

Tasnime AkbaralyInserm U 1198, Montpellier, F-34000, France. tasnime.akbaraly@inserm.fr.ORCID 0000-0002-2150-4190
Peter WürtzComputational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland.
Archana Singh-ManouxDepartment of Epidemiology and Public Health, London, University College London, London, United Kingdom.
Martin J ShipleyDepartment of Epidemiology and Public Health, London, University College London, London, United Kingdom.
Rita HaapakoskiDepartment of Epidemiology and Public Health, London, University College London, London, United Kingdom.
Maili LehtoDepartment of Epidemiology and Public Health, London, University College London, London, United Kingdom.
Catherine DesrumauxInserm U 1198, Montpellier, F-34000, France.
Mika KähönenDepartment of Clinical Physiology, University of Tampere School of Medicine and Tampere University Hospital, Tampere, Finland.
Terho LehtimäkiDepartment of Clinical Chemistry, Fimlab Laboratories and University of Tampere School of Medicine, Tampere, Finland.
Vera MikkiläResearch Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.
Aroon HingoraniCentre for Cardiovascular Genetics, British Heart Foundation Laboratories, Institute of Cardiovascular Sciences, University College London, London, United Kingdom.ORCID 0000-0001-8365-0081
Steve E HumphriesCentre for Cardiovascular Genetics, British Heart Foundation Laboratories, Institute of Cardiovascular Sciences, University College London, London, United Kingdom.
Antti J KangasComputational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland.
Pasi SoininenComputational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland.
Olli RaitakariDepartment of Clinical Physiology, University of Tampere School of Medicine and Tampere University Hospital, Tampere, Finland.
Mika Ala-KorpelaComputational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland.
Mika KivimäkiDepartment of Epidemiology and Public Health, London, University College London, London, United Kingdom.
Inserm · FRUniversity College London · GBBritish Heart Foundation · GBUniversity of Oulu · FIBaker Heart and Diabetes Institute · AUTampere University · FITampere University Hospital · FITurku University Hospital · FIUniversity of Eastern Finland · FIUniversity of Helsinki · FIUniversity of Turku · FI

Funding

Socio-economic status and heterogeneity in agingR01AG013196 · NIA · UNIVERSITY OF LONDON INST OF NEUROLOGY · PI MARMOT, MICHAEL G, SINGH-MANOUX, ARCHANA · 1996 to 2013
$3.5M
Socioeconomic gradient in CHD in early old ageR01HL036310 · NHLBI · UNIVERSITY OF LONDON · PI KIVIMAKI, MIKA J, MARMOT, MICHAEL G · 1986 to 2012
$3.1M
Health behaviors over the adult lifecourse and cognitive agingR01AG034454 · NIA · UNIVERSITY COLLEGE LONDON · PI KIVIMAKI, MIKA J, SINGH-MANOUX, ARCHANA · 2009 to 2013
$1.5M
British Heart Foundation PG08/008British Heart Foundation PG/11/63/29011British Heart Foundation RG/13/2/30098British Heart Foundation RG/16/11/32334Department of HealthMedical Research Council MC_UU_12013/1Medical Research Council MR/K013351/1Medical Research Council MR/R024227/1NHLBI NIH HHS R01 HL036310NIA NIH HHS R01 AG013196NIA NIH HHS R01 AG034454
6 · The paper itself

Abstract

Diet may modify metabolomic profiles towards higher or lower cardiovascular disease (CVD) risk. We aimed to identify metabolite profiles associated with high adherence to dietary recommendations - the Alternative Healthy Eating Index (AHEI) - and the extent to which metabolites associated with AHEI also predict incident CVD. Relations between AHEI score and 80 circulating lipids and metabolites, quantified by nuclear magnetic resonance metabolomics, were examined using linear regression models in the Whitehall II study (n = 4824, 55.9 ± 6.1 years, 28.0% women) and were replicated in the Cardiovascular Risk in Young Finns Study (n = 1716, 37.7 ± 5.0 years, 56.3% women). We used Cox models to study associations between metabolites and incident CVD over the 15.8-year follow-up in the Whitehall II study. After adjustment for confounders, higher AHEI score (indicating healthier diet) was associated with higher degree of unsaturation of fatty acids (FA) and higher ratios of polyunsaturated FA, omega-3 and docosahexaenoic acid relative to total FA in both Whitehall II and Young Finns studies. A concordance of associations of metabolites with higher AHEI score and lower CVD risk was observed in Whitehall II. Adherence to healthy diet seems to be associated with specific FA that reduce risk of CVD.

Indexed as

Diet, HealthyMetabolomeAdultBiological FactorsCardiovascular DiseasesCohort StudiesFemaleHumansMagnetic Resonance SpectroscopyMaleMetabolomicsMiddle AgedRisk AssessmentBiological Factors

Identifiers

PMID29872056
PMCPMC5988716
OpenAlexW2805867033

What OpenQuestion holds

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Registered trials

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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.