MétaCan
Menu
Back to cohort
Record W4415704752 · doi:10.1016/j.tjnut.2025.10.040

Inflammatory Cytokine Responses to 6 Wks of Increased Dairy Intake in Individuals with Overweight and Obesity–A Randomized Crossover Trial

2025· article· en· W4415704752 on OpenAlexafffund
Joel L. Prowting, Emily C. Fraschetti, Tania J. Pereira, Jessica A. L. Tucker, Nicholas Cheng, Heather Edgell, David C. Wright, Panagiota Klentrou, Christopher G. R. Perry, Andrea R. Josse

Bibliographic record

VenueJournal of Nutrition · 2025
Typearticle
Languageen
FieldMedicine
TopicNutritional Studies and Diet
Canadian institutionsBrock UniversityUniversity of British ColumbiaWilfrid Laurier UniversityYork University
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchYork UniversityDairy Farmers of Canada
KeywordsOverweightCrossover studyCytokineInflammationObesityBiomarkerRandomized controlled trial

Abstract

fetched live from OpenAlex

BACKGROUND: Dairy products are important sources of macro/micronutrients and contain bioactive components with anti-inflammatory, antioxidant, and musculoskeletal supporting properties. Few studies have assessed the short-term effect of consuming a variety of wholefood dairy products (as opposed to single foods/nutrients) on a range of interrelated inflammatory, metabolic, antioxidant and vascular outcomes. OBJECTIVES: To compare these physiological outcomes after 6 wks of a high mixed-dairy diet compared with 6 wks of a low dairy diet. METHODS: ] and pre-existing cardiometabolic disease risk factors completed two 6-wk dietary intervention conditions in random order (separated by a ≥4-wk washout); 1) a high-dairy (HD) diet (3 servings/d of a mix of low-fat milk, Skyr yogurt, full-fat cheddar cheese) and 2) their habitually low-dairy (LD) diet (≤1 serving/d). At baseline and then 6 wks later, fasted blood samples were collected, body composition was assessed, and vascular measurements were taken. RESULTS: After controlling for age, BMI, sequence and period, there were no condition∗time interactions for interleukin-6 (IL-6; primary endpoint); however, there were condition∗time interactions for tumor necrosis factor-alpha (TNF-α; P = 0.042), and IL-4 (P = 0.026) such that they decreased and increased, respectively, on the HD diet compared with the LD diet. No other condition∗time interactions were observed for the other outcomes but we did observe sex∗condition interactions for IL-6 (P = 0.011), TNF-α (P < 0.001), triglycerides (P = 0.014), and diastolic blood pressure (P = 0.045), which were higher during the HD condition in males. CONCLUSIONS: Increasing mixed dairy product intake for 6 wks favorably modulated some cytokines in the absence of metabolic, vascular, body weight, or fat changes. Differences in biomarker concentrations in relation to dairy intake and/or exercise may also be influenced by sex; however, this should be further explored. Overall, increased dairy intake may help ameliorate inflammation in individuals with OW/OB and cardiometabolic dysfunction. This trial was registered at clinicaltrials.gov as NCT04902417.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.279
Teacher spread0.269 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueJournal of NutritionSame topicNutritional Studies and DietFrench-language works237,207