Plasma metabolomic profiles of plant-based dietary indices reveal potential pathways for metabolic syndrome associations

dc.contributor.authorLanuza, Fabian
dc.contributor.authorMeroño, Tomás
dc.contributor.authorZamora-Ros, Raul
dc.contributor.authorBondonno, Nicola P.
dc.contributor.authorRostgaard-Hansen, Agnetha Linn
dc.contributor.authorSánchez Pla, Alex
dc.contributor.authorMiró, Berta
dc.contributor.authorCarmona Pontaque, Francesc
dc.contributor.authorRiccardi, Gabriele
dc.contributor.authorTjønneland, Anne
dc.contributor.authorLandberg, Rikard
dc.contributor.authorHalkjær, Jytte
dc.contributor.authorAndres-Lacueva, Cristina
dc.date.accessioned2024-02-09T14:41:37Z
dc.date.available2024-02-09T14:41:37Z
dc.date.issued2023-09-08
dc.date.updated2024-02-09T14:41:38Z
dc.description.abstractBackground and aims: Plant-based dietary patterns have been associated with improved health outcomes. This study aims to describe the metabolomic fingerprints of plant-based diet indices (PDI) and examine their association with metabolic syndrome (MetS) and its components in a Danish population. Methods: The MAX study comprised 676 participants (55% women, aged 18-67 y) from Copenhagen. Sociodemographic and dietary data were collected using questionnaires and three 24-h dietary recalls over one year (at baseline, and at 6 and 12 months). Mean dietary intakes were computed, as well as overall PDI, healthful (hPDI) and unhealthful (uPDI) scores, according to food groups for each plant-based index. Clinical variables were also collected at the same time points in a health examination that included complete blood tests. MetS was defined according to the International Diabetes Federation criteria. Plasma metabolites were measured using a targeted metabolomics approach. Metabolites associated with PDI were selected using random forest models and their relationships with PDIs and MetS were analyzed using generalized linear mixed models. Results: The mean prevalence of MetS was 10.8%. High, compared to low, hPDI and uPDI scores were associated with a lower and higher odd of MetS, respectively [odds ratio (95%CI); hPDI: 0.56 (0.43-0.74); uPDI: 1.61 (1.26-2.05)]. Out of 411 quantified plasma metabolites, machine-learning metabolomics fingerprinting revealed 13 metabolites, including food and food-related microbial metabolites, like hypaphorine, indolepropionic acid and lignan-derived enterolactones. These metabolites were associated with all PDIs and were inversely correlated with MetS components (p < 0.05). Furthermore, they had an explainable contribution of 12% and 14% for the association between hPDI or uPDI, respectively, and MetS only among participants with overweight/obesity. Conclusions: Metabolites associated with PDIs were inversely associated with MetS and its components, and may partially explain the effects of plant-based diets on cardiometabolic risk factors.
dc.format.extent10 p.
dc.format.mimetypeapplication/pdf
dc.identifier.idgrec740174
dc.identifier.issn0021-9150
dc.identifier.urihttps://hdl.handle.net/2445/207373
dc.language.isoeng
dc.publisherElsevier B.V.
dc.relation.isformatofReproducció del document publicat a: https://doi.org/https://doi.org/10.1016/j.atherosclerosis.2023.117285
dc.relation.ispartofAtherosclerosis, 2023, vol. 382, 117285
dc.relation.urihttps://doi.org/https://doi.org/10.1016/j.atherosclerosis.2023.117285
dc.rightscc-by (c) Lanuza et al., 2023
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.sourceArticles publicats en revistes (Nutrició, Ciències de l'Alimentació i Gastronomia)
dc.subject.classificationSíndrome metabòlica
dc.subject.classificationDietoteràpia
dc.subject.classificationPlasma sanguini
dc.subject.otherMetabolic syndrome
dc.subject.otherDiet therapy
dc.subject.otherBlood plasma
dc.titlePlasma metabolomic profiles of plant-based dietary indices reveal potential pathways for metabolic syndrome associations
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion

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