代谢组学
医学
代谢综合征
优势比
食物频率问卷
食品集团
人口
代谢物
内科学
生物
环境卫生
肥胖
生物信息学
作者
Fabián Lanuza,Tomás Meroño,Raúl Zamora‐Ros,Nicola P. Bondonno,Agnetha Linn Rostgaard‐Hansen,Álex Sánchez‐Pla,Berta Miró,Francesc Carmona,Gabriele Riccardi,Anne Tjønneland,Rikard Landberg,Jytte Halkjær,Cristina Andrés‐Lacueva
出处
期刊:Atherosclerosis
[Elsevier BV]
日期:2023-09-09
卷期号:382: 117285-117285
被引量:9
标识
DOI:10.1016/j.atherosclerosis.2023.117285
摘要
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.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.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.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.
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