Evidence map›Paper›PMID 30060042›Full record

ArticleThe American journal of clinical nutrition2018

Plasma metabolites associated with healthy Nordic dietary indexes and risk of type 2 diabetes-a nested case-control study in a Swedish population.

Lin Shi, Carl Brunius, Ingegerd Johansson, Ingvar A Bergdahl, Bernt Lindahl, Kati Hanhineva, Rikard Landberg

Abstract read
In one paragraph

Article in The American journal of clinical nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

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  5. Systemic Sonic Hedgehog Signaling Links Intestinal Nutrient Sensing With Sex-Specific Type 2 Diabetes Progression.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 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

7 authors at 4 institutions in 2 countries.

Lin ShiDepartment of Molecular Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden.
Carl BruniusDepartment of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden.
Ingegerd JohanssonDepartments of Odontology, Section of Cariology, Biobank Research, Public Health and Clinical Medicine, Umeå University, Umeå, Sweden.
Ingvar A BergdahlDepartments of Biobank Research, Public Health and Clinical Medicine, Umeå University, Umeå, Sweden.
Bernt LindahlDepartments of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden.
Kati HanhinevaLC-MS Metabolomics Center, Kuopio, Finland.
Rikard LandbergDepartment of Molecular Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden.
Umeå University · SESwedish University of Agricultural Sciences · SEChalmers University of Technology · SEUniversity of Eastern Finland · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Epidemiologic evidence on the association of a healthy Nordic diet and future type 2 diabetes (T2D) is limited. Exploring metabolites as biomarkers of healthy Nordic dietary patterns may facilitate investigation of associations between such patterns and T2D. Objectives: We aimed to identify metabolites related to a priori-defined healthy Nordic dietary indexes, the Baltic Sea Diet Score (BSDS) and Healthy Nordic Food Index (HNFI), and evaluate associations with the T2D risk in a case-control study nested in a Swedish population-based prospective cohort. Design: Plasma samples from 421 case-control pairs at baseline and samples from a subset of 151 healthy controls at a 10-y follow-up were analyzed with the use of untargeted liquid chromatography-mass spectrometry metabolomics. Index-related metabolites were identified through the use of random forest modelling followed by partial correlation analysis adjustment for lifestyle confounders. Metabolite patterns were derived via principal component analysis (PCA). ORs of T2D were estimated via conditional logistic regression. Reproducibility of metabolites was assessed by intraclass correlation (ICC) in healthy controls. Associations were also assessed for 10 metabolites previously identified as linking a healthy Nordic diet with T2D. Results: In total, 31 metabolites were associated with BSDS and/or HNFI (-0.19 ≤ r ≤ 0.21, 0.10 ≤ ICC ≤ 0.59). Two PCs were determined from index-related metabolites: PC1 strongly correlated to the indexes (r = 0.27 for BSDS, r = 0.25 for HNFI, ICC = 0.45) but showed no association with T2D risk. PC2 was weakly associated with the indexes, but more strongly with foods not part of the indexes, e.g., pizza, sausages, and hamburgers. PC2 was also significantly associated with T2D risk. Predefined metabolites were confirmed to be reflective of consumption of whole grains, fish, or vegetables, but not related to T2D risk. Conclusions: Our study did not support an association between healthy Nordic dietary indexes and T2D. However, foods such as hamburger, sausage, and pizza not covered by the indexes appeared to be more important for T2D risk in the current population.

Indexed as

Diet, HealthyAdultBiomarkersCase-Control StudiesChromatography, LiquidDiabetes Mellitus, Type 2DietFast FoodsFemaleFruitHumansMaleMass SpectrometryMetabolomicsMiddle AgedNutrition PolicyBiomarkers

Identifiers

PMID30060042
PMCPMC6288641
OpenAlexW2883042333

What OpenQuestion holds

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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.