Evidence map›Paper›PMID 37793095›Full record

ArticleEuropean journal of preventive cardiology2024

Blood DNA methylation signature of diet quality and association with cardiometabolic traits.

Jorge Domínguez-Barragán, Alba Fernández-Sanlés, Álvaro Hernáez, Joana Llauradó-Pont, Jaume Marrugat, Oliver Robinson, Ioanna Tzoulaki, Roberto Elosua, Camille Lassale

Open access · hybridAbstract read
In one paragraph

Article in European journal of preventive cardiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
2.6field-weighted citation impact, top 10% 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, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Review
  6. Observational
  7. The Association Study of Targeted DNA Methylation and Thrombophilia.Indian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion · 2025
    Article
  8. Review
  9. Article
  10. Review
  11. Review
  12. Epigenetics-targeted drugs: current paradigms and future challenges.Signal transduction and targeted therapy · 2024
    Review
  13. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 9 institutions in 4 countries.

Jorge Domínguez-BarragánHospital del Mar Research Institute (IMIM), Programme of Epidemiology and Public Health, Dr Aiguader, 88, 08003 Barcelona, Spain.
Alba Fernández-SanlésMRC Unit for Lifelong Health and Ageing, University College London, London WC1E 7HB, UK.
Álvaro HernáezCentre for Fertility and Health, Norwegian Institute of Public Health, Oslo 0463, Norway.ORCID 0000-0001-8593-1477
Joana Llauradó-PontBarcelona Institute of Global Health (ISGlobal), Dr Aiguader 88, 08003, Barcelona, Spain.ORCID 0009-0002-3941-9872
Jaume MarrugatHospital del Mar Research Institute (IMIM), Programme of Epidemiology and Public Health, Dr Aiguader, 88, 08003 Barcelona, Spain.ORCID 0000-0003-3320-554X
Oliver Robinsonμedical Research Council Centre for Environment and Health, School of Public Health, Imperial College London, London W2 1PG, UK.ORCID 0000-0002-4735-0468
Ioanna TzoulakiCentre for Systems Biology, Biomedical Research Foundation of the Academy of Athens, 115 27 Athens, Greece.ORCID 0000-0002-4275-9328
Roberto ElosuaHospital del Mar Research Institute (IMIM), Programme of Epidemiology and Public Health, Dr Aiguader, 88, 08003 Barcelona, Spain.ORCID 0000-0001-8235-0095
Camille LassaleHospital del Mar Research Institute (IMIM), Programme of Epidemiology and Public Health, Dr Aiguader, 88, 08003 Barcelona, Spain.ORCID 0000-0002-9340-2708
Barcelona Institute for Global Health · ESHospital Del Mar · ESImperial College London · GBInstituto de Salud Carlos III · ESNorwegian Institute of Public Health · NOUniversitat de Vic - Universitat Central de Catalunya · ESUniversitat Pompeu Fabra · ESUniversity of Bristol · GBUniversity of Ioannina · GR

Funding

Women's Health Initiative Clinical Coordinating CenterN01WH22110 · WH · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PRENTICE, ROSS L · 2007 to 2010
$22.5M
WOMENS HEALTH INITIATIVE-N01WH22110N01WH022110 · WH · FRED HUTCHINSON CANCER RESEARCH CENTER · PI ROSS, PRENTICE · 1992 to 2006
$1.2M
THE FRAMINGHAM HEART STUDY-N01HC25195-268025195-268025195N01HC025195 · HC · TRUSTEES OF BOSTON UNIVERSITY · PI WOLF, PHILIP A · 2002 to 2006
–
Medical Research Council MC_UU_00011/6Medical Research Council MR/R023484/1Medical Research Council MR/S03532X/1Medical Research Council MR/T033371/1NHLBI NIH HHS HHSN268201500001CNHLBI NIH HHS HHSN268201500001INHLBI NIH HHS N01 HC025195NHLBI NIH HHS N01-HC-25195WHI NIH HHS N01 WH022110WHI NIH HHS N01WH22110
6 · The paper itself

Abstract

aimsDiet quality might influence cardiometabolic health through epigenetic changes, but this has been little investigated in adults. Our aims were to identify cytosine-phosphate-guanine (CpG) dinucleotides associated with diet quality by conducting an epigenome-wide association study (EWAS) based on blood DNA methylation (DNAm) and to assess how diet-related CpGs associate with inherited susceptibility to cardiometabolic traits: body mass index (BMI), systolic blood pressure (SBP), triglycerides, type 2 diabetes (T2D), and coronary heart disease (CHD). METHODS AND

resultsMeta-EWAS including 5274 participants in four cohorts from Spain, the USA, and the UK. We derived three dietary scores (exposures) to measure adherence to a Mediterranean diet, to a healthy plant-based diet, and to the Dietary Approaches to Stop Hypertension. Blood DNAm (outcome) was assessed with the Infinium arrays Human Methylation 450K BeadChip and MethylationEPIC BeadChip. For each diet score, we performed linear EWAS adjusted for age, sex, blood cells, smoking and technical variables, and BMI in a second set of models. We also conducted Mendelian randomization analyses to assess the potential causal relationship between diet-related CpGs and cardiometabolic traits. We found 18 differentially methylated CpGs associated with dietary scores (P < 1.08 × 10-7; Bonferroni correction), of which 12 were previously associated with cardiometabolic traits. Enrichment analysis revealed overrepresentation of diet-associated genes in pathways involved in inflammation and cardiovascular disease. Mendelian randomization analyses suggested that genetically determined methylation levels corresponding to lower diet quality at cg02079413 (SNORA54), cg02107842 (MAST4), and cg23761815 (SLC29A3) were causally associated with higher BMI and at cg05399785 (WDR8) with greater SBP, and methylation levels associated with higher diet quality at cg00711496 (PRMT1) with lower BMI, T2D risk, and CHD risk and at cg0557921 (AHRR) with lower CHD risk.

conclusionDiet quality in adults was related to differential methylation in blood at 18 CpGs, some of which related to cardiometabolic health.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2AdultDietDNA MethylationGenome-Wide Association StudyHumansMicrotubule-Associated ProteinsNucleoside Transport ProteinsProtein-Arginine N-MethyltransferasesProtein Serine-Threonine KinasesRepressor ProteinsMAST4 protein, humanMicrotubule-Associated ProteinsNucleoside Transport ProteinsPRMT1 protein, humanProtein-Arginine N-MethyltransferasesProtein Serine-Threonine KinasesRepressor ProteinsSLC29A3 protein, humanCardiovascular diseaseDiet qualityDNA methylationEpidemiologyNutrition

Identifiers

PMID37793095
PMCPMC10809172
OpenAlexW4387327480

What OpenQuestion holds

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LicenceCC BY
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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.