ArticleBMC medicine2022
A healthy dietary metabolic signature is associated with a lower risk for type 2 diabetes and coronary artery disease.
Article in BMC medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 32 citations in OpenAlex.
- Metabolomics Based Biomarkers of Green Beans Intake.Molecular nutrition & food research · 2026Article
- Asymmetric dimethylguanidino valeric acid as an independently associated risk factor for early hypertriglyceridemia and dyslipidemia.Metabolomics : Official journal of the Metabolomic Society · 2026Article
- Food as both comfort and risk: perspectives on healthy eating among Swedish women with prediabetes.Frontiers in global women's health · 2026Article
- Frequency of adding salt to foods, metabolic signature, and the risk of extracoronary atherosclerotic vascular disease progression.Frontiers in nutrition · 2026Article
- Article
- Impact of Food Exposome on Atherosclerotic Plaque Stability: Metabolomic Insights from Human Carotid Endarterectomy Specimen.International journal of molecular sciences · 2025Article
- Metabolic profile of biodiverse diets in a healthy European cohort.The American journal of clinical nutrition · 2025Article
- Coronary heart disease and type 2 diabetes metabolomic signatures in the Middle East.Frontiers in endocrinology · 2025Article
- The Interplay of Diet, Genome, Metabolome, and Gut Microbiome in Cardiovascular Disease: A Narrative Review.Current medicinal chemistry · 2025Review
- Circulating dimethylguanidino valeric acid, dietary factors, and risk of coronary heart disease.Cardiovascular research · 2024Article
- Impact of a short-term Mediterranean diet intervention on plasma metabolites: a pilot study.Metabolomics : Official journal of the Metabolomic Society · 2024Article
- Unraveling the metabolomic architecture of autism in a large Danish population-based cohort.BMC medicine · 2024Article
- Dietary patterns associated with the incidence of hypertension among adult Japanese males: application of machine learning to a cohort study.European journal of nutrition · 2024Article
- Plasma Metabolome Predicts Aortic Stiffness and Future Risk of Coronary Artery Disease and Mortality After 23 Years of Follow-Up in the General Population.Journal of the American Heart Association · 2024Article
- From multi-omics to predictive biomarker: AI in tumor microenvironment.Frontiers in immunology · 2024Review
- Dietary Quality and Circulating Lipidomic Profiles in 2 Cohorts of Middle-Aged and Older Male Finnish Smokers and American Populations.The Journal of nutrition · 2023Article
- Relationship between the concentration of ergothioneine in plasma and the likelihood of developing pre-eclampsia.Bioscience reports · 2023Article
- Article
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Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundThe global burden of cardiovascular disease and type 2 diabetes could be decreased by improving dietary factors, but identification of groups suitable for interventional approaches can be difficult. Reporting of dietary intake is prone to errors, and measuring of metabolites has shown promise in determining habitual dietary intake. Our aim is to create a metabolic signature that is associated with healthy eating and test if it associates with type 2 diabetes and coronary artery disease risk.
methodsUsing plasma metabolite data consisting of 111 metabolites, partial least square (PLS) regression was used to identify a metabolic signature associated with a health conscious food pattern in the Malmö Offspring Study (MOS, n = 1538). The metabolic signature's association with dietary intake was validated in the Malmö Diet and Cancer study (MDC, n = 2521). The associations between the diet-associated metabolic signature and incident type 2 diabetes and coronary artery disease (CAD) were tested using Cox regression in MDC and logistic regression in Malmö Preventive Project (MPP, n = 1083). Modelling was conducted unadjusted (model 1), adjusted for potential confounders (model 2) and additionally for potential mediators (model 3).
resultsThe metabolic signature was associated with lower risk for type 2 diabetes in both MDC (hazard ratio: 0.58, 95% CI 0.52-0.66, per 1 SD increment of the metabolic signature) and MPP (odds ratio: 0.54, 95% CI 0.44-0.65 per 1 SD increment of the metabolic signature) in model 2. The results were attenuated but remained significant in model 3 in both MDC (hazard ratio 0.73, 95% CI 0.63-0.83) and MPP (odds ratio 0.70, 95% CI 0.55-0.88). The diet-associated metabolic signature was also inversely associated with lower risk of CAD in both MDC and MPP in model 1, but the association was non-significant in model 3.
conclusionsIn this proof-of-concept study, we identified a healthy diet-associated metabolic signature, which was inversely associated with future risk for type 2 diabetes and coronary artery disease in two different cohorts. The association with diabetes was independent of traditional risk factors and might illustrate an effect of health conscious dietary intake on cardiometabolic health.
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