Evidence mapPaperPMID 40318879Full record

ArticleThe American journal of clinical nutrition2025

Dairy intake, plasma metabolome, and risk of type 2 diabetes in a population-based cohort.

Shunming Zhang, Suzanne Janzi, Yufeng Du, J Gustav Smith, Lu Qi, Yan Borné, Emily Sonestedt

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Article in The American journal of clinical nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
field-weighted citation impact
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

5 citing papers in PubMed.

  1. Trial
  2. Article
  3. Lifestyles, metabolome and diabetic kidney disease: a cohort study.QJM : monthly journal of the Association of Physicians · 2026
    Article
  4. Article
  5. Review
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.

Shunming ZhangSchool of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China; Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden. Electronic address: shunming.zhang@med.lu.se.
Suzanne JanziNutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden.
Yufeng DuNutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden.
J Gustav SmithDepartment of Cardiology, Clinical Sciences, Lund University and Skåne University Hospital, Lund, Sweden; Wallenberg Center for Molecular Medicine and Lund University Diabetes Center, Lund University, Lund, Sweden; Department of Molecular and Clinical Medicine, Institute of Medicine, Gothenburg University and Sahlgrenska University Hospital, Gothenburg, Sweden; Science for Life Laboratory, Gothenburg University, Gothenburg, Sweden.
Lu QiDepartment of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, United States; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Yan BornéNutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden.
Emily SonestedtNutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden; Department of Food and Meal Science, Faculty of Natural Science, Kristianstad University, Kristianstad, Sweden. Electronic address: emily.sonestedt@med.lu.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhether dairy intake is related to type 2 diabetes (T2D) remains unclear, as does potential metabolic mechanisms for this association.

objectivesWe aimed to examine the association between high dairy intake and risk of T2D and identify plasma metabolites reflecting dairy intake.

methodsThis prospective cohort study included 26,461 Swedish individuals recruited between 1991 and 1996 and followed up until 31 December, 2020, with available data on dairy intake at baseline and linked registers. Plasma metabolites were measured in a subsample (n = 893) using mass spectrometry. Associations of dairy intake with risk of T2D were assessed using Cox proportional hazards models, with results presented as hazard ratios (HRs) and 95% confidence intervals (CIs).

resultsA total of 4552 new-onset incident T2D cases were documented during a median follow-up of 24.3 y. Increased risk of T2D was observed among participants consuming high nonfermented milk (>1000 g/d compared with <200 g/d; HR: 1.40; 95% CI: 1.12, 1.74) and cheese (>100 g/d compared with <20 g/d; HR: 1.23; 95% CI: 1.07, 1.41), although decreased risk of T2D was observed among those with high fermented milk (>300 g/d compared with 0 g/d; HR: 0.88; 95% CI: 0.74, 1.03), cream (>50 g/d compared with <10 g/d; HR: 0.77; 95% CI: 0.64, 0.92), and butter (>50 g/d compared with 0 g/d; HR: 0.82; 95% CI: 0.71, 0.94). Such associations were slightly attenuated after additional adjustment for BMI. In addition, we identified metabolite profiles for nonfermented milk (n = 45), fermented milk (n = 48), cheese (n = 12), cream (n = 27), and butter (n = 46); no overlap between metabolites was found.

conclusionsIn this cohort of Swedish adults, high intakes of nonfermented milk and cheese are positively associated with risk of T2D, although high intakes of fermented milk, cream, and butter are inversely associated. Metabolomics provides novel insights into understanding the metabolic pathways of these associations.

Indexed as

Dairy ProductsDiabetes Mellitus, Type 2DietMetabolomeAdultAgedCohort StudiesFemaleHumansMaleMiddle AgedProspective StudiesRisk FactorsSwedenbuttercheesecreamdairymetabolitesmetabolomicsmilktype 2 diabetesyogurt

Identifiers

PMID40318879
PMCPMC12107495

What Socratic holds

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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 Socratic graph.