Evidence map›Paper›PMID 38245716›Full record

ArticleCardiovascular diabetology2024

Plasma metabolite profile of legume consumption and future risk of type 2 diabetes and cardiovascular disease.

Hernando J Margara-Escudero, Indira Paz-Graniel, Jesús García-Gavilán, Miguel Ruiz-Canela, Qi Sun, Clary B Clish, Estefania Toledo, Dolores Corella, Ramón Estruch, Emilio Ros and 14 more

Open access · goldAbstract read
In one paragraph

Article in Cardiovascular diabetology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

14 citing papers in PubMed, 11 citations in OpenAlex.

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  3. Metabolomics Based Biomarkers of Green Beans Intake.Molecular nutrition & food research · 2026
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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

24 authors at 13 institutions in 3 countries.

Hernando J Margara-Escudero *Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain.
Indira Paz-Graniel *Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain.
Jesús García-GavilánUniversitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain. jesusfrancisco.garcia@urv.cat.
Miguel Ruiz-CanelaCentro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
Qi SunDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Clary B ClishThe Broad Institute of Harvard and MIT, Boston, MA, 02142, USA.
Estefania ToledoCentro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
Dolores CorellaCentro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
Ramón EstruchCentro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
Emilio RosCentro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
Olga CastañerCentro de Investigación Biomédica en Red (CIBERESP) de Epidemiología y Salud Pública, Instituto de Salud Carlos III, Madrid, Spain.
Fernando ArósCentro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
Miquel FiolCentro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
Marta Guasch-FerréDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
José LapetraCentro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
Cristina RazquinCentro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
Courtney DennisThe Broad Institute of Harvard and MIT, Boston, MA, 02142, USA.
Amy DeikThe Broad Institute of Harvard and MIT, Boston, MA, 02142, USA.
Jun LiDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Enrique Gómez-GraciaPreventive Medicine and Public Health Department, School of Medicine, University of Málaga, 29010, Malaga, Spain.
Nancy BabioUniversitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain. nancy.babio@urv.cat.
Miguel A Martínez-GonzálezDepartment of Preventive Medicine and Public Health, University of Navarra, Instituto de Investigación Sanitario de Navarra (IdiSNA), Pamplona, Spain.
Frank B HuDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Jordi Salas-SalvadóUniversitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain.
Centro de Investigación Biomédica en Red · ESInstituto de Salud Carlos III · ESBroad Institute · USHarvard University · USInstitut d'Investigació Sanitària Pere Virgili · ESBrigham and Women's Hospital · USDepartament de Salut · ESNavarre Institute of Health Research · ESNovo Nordisk Foundation · DKUniversidad de Málaga · ESUniversidad de Navarra · ESUniversitat de Barcelona · ESUniversitat Rovira i Virgili · ES

Funding

ROLE OF DIETARY CONSTITUENTS ON GENE EXPRESSION IN INTESTINAL EPITHELIUMP30DK040561 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI CHRISTOPHER P DUGGAN · 1994 to 2026
$31.6M
Mediterranean diet, Metabolites, and Cardiovascular DiseaseR01HL118264 · NHLBI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI HU, FRANK B, LAMUELA-RAVENTÓS, ROSA · 2013 to 2025
$6.8M
Circulating Plasma Metabolites, Lifestyle Factors, and Mortality RiskR21AG070375 · NIA · HARVARD SCHOOL OF PUBLIC HEALTH · PI GUASCH-FERRE, MARTA, SUN, QI · 2021 to 2022
$439k
NHLBI NIH HHS R01 HL118264NIA NIH HHS R21 AG070375NIDDK NIH HHS P30 DK040561NIH HHS R01 HL118264NIH HHS R21AG070375-01A1
6 · The paper itself

Abstract

backgroundLegume consumption has been linked to a reduced risk of type 2 diabetes (T2D) and cardiovascular disease (CVD), while the potential association between plasma metabolites associated with legume consumption and the risk of cardiometabolic diseases has never been explored. Therefore, we aimed to identify a metabolite signature of legume consumption, and subsequently investigate its potential association with the incidence of T2D and CVD.

methodsThe current cross-sectional and longitudinal analysis was conducted in 1833 PREDIMED study participants (mean age 67 years, 57.6% women) with available baseline metabolomic data. A subset of these participants with 1-year follow-up metabolomics data (n = 1522) was used for internal validation. Plasma metabolites were assessed through liquid chromatography-tandem mass spectrometry. Cross-sectional associations between 382 different known metabolites and legume consumption were performed using elastic net regression. Associations between the identified metabolite profile and incident T2D and CVD were estimated using multivariable Cox regression models.

resultsSpecific metabolic signatures of legume consumption were identified, these included amino acids, cortisol, and various classes of lipid metabolites including diacylglycerols, triacylglycerols, plasmalogens, sphingomyelins and other metabolites. Among these identified metabolites, 22 were negatively and 18 were positively associated with legume consumption. After adjustment for recognized risk factors and legume consumption, the identified legume metabolite profile was inversely associated with T2D incidence (hazard ratio (HR) per 1 SD: 0.75, 95% CI 0.61-0.94; p = 0.017), but not with CVD incidence risk (1.01, 95% CI 0.86-1.19; p = 0.817) over the follow-up period.

conclusionsThis study identified a set of 40 metabolites associated with legume consumption and with a reduced risk of T2D development in a Mediterranean population at high risk of cardiovascular disease.

trial registrationISRCTN35739639.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2Diet, MediterraneanFabaceaeAgedCross-Sectional StudiesFemaleHumansMaleRisk FactorsCardiovascular diseaseLegumesMetabolomicsPlasmaType 2 diabetes

Identifiers

PMID38245716
PMCPMC10800064
OpenAlexW4391057724

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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.