Evidence map›Paper›PMID 35443726›Full record

ArticleBMC medicine2022

A healthy dietary metabolic signature is associated with a lower risk for type 2 diabetes and coronary artery disease.

Einar Smith, Ulrika Ericson, Sophie Hellstrand, Marju Orho-Melander, Peter M Nilsson, Céline Fernandez, Olle Melander, Filip Ottosson

Open access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.9field-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

18 citing papers in PubMed, 32 citations in OpenAlex.

  1. Metabolomics Based Biomarkers of Green Beans Intake.Molecular nutrition & food research · 2026
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  7. Metabolic profile of biodiverse diets in a healthy European cohort.The American journal of clinical nutrition · 2025
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  9. Review
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  11. Impact of a short-term Mediterranean diet intervention on plasma metabolites: a pilot study.Metabolomics : Official journal of the Metabolomic Society · 2024
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  15. Review
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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

8 authors at 2 institutions in 2 countries.

Einar SmithDepartment of Clinical Sciences, Lund University, Jan Waldenströms gata 35, 91-12-027, SE-214 28, Malmö, Sweden. einar.smith@med.lu.se.ORCID 0000-0002-4150-2459
Ulrika EricsonDepartment of Clinical Sciences, Lund University, Jan Waldenströms gata 35, 91-12-027, SE-214 28, Malmö, Sweden.
Sophie HellstrandDepartment of Clinical Sciences, Lund University, Jan Waldenströms gata 35, 91-12-027, SE-214 28, Malmö, Sweden.
Marju Orho-MelanderDepartment of Clinical Sciences, Lund University, Jan Waldenströms gata 35, 91-12-027, SE-214 28, Malmö, Sweden.
Peter M NilssonDepartment of Clinical Sciences, Lund University, Jan Waldenströms gata 35, 91-12-027, SE-214 28, Malmö, Sweden.
Céline FernandezDepartment of Clinical Sciences, Lund University, Jan Waldenströms gata 35, 91-12-027, SE-214 28, Malmö, Sweden.
Olle MelanderDepartment of Clinical Sciences, Lund University, Jan Waldenströms gata 35, 91-12-027, SE-214 28, Malmö, Sweden.
Filip OttossonDepartment of Clinical Sciences, Lund University, Jan Waldenströms gata 35, 91-12-027, SE-214 28, Malmö, Sweden.
Lund University · SEStatens Serum Institut · DK

Funding

European Research Council 885003
6 · The paper itself

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.

Indexed as

Coronary Artery DiseaseDiabetes Mellitus, Type 2BiomarkersDietHumansProspective StudiesRisk FactorsBiomarkersCoronary artery diseaseDietary biomarkerMetabolomicsNutritionType 2 diabetes

Identifiers

PMID35443726
PMCPMC9022292
OpenAlexW4224294910

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.