Increased Dairy Product Intake Alters Serum Metabolite Profiles in Subjects at Risk of Developing Type 2 Diabetes
Bibliographic record
Abstract
SCOPE: Metabolomics is increasingly used to identify biomarkers of diet or chronic diseases, such as type 2 diabetes. Yet, metabolite signatures following dairy intake in hyperinsulinemic subjects have not been identified. The objective is to evaluate the effects of a high dairy diet (HD) for 6 weeks (4 servings or more per day), compared with an adequate dairy diet (AD) (2 servings or less per day), on serum metabolite profiles in hyperinsulinemic adults. METHODS AND RESULTS: In this crossover trial, subjects are randomized to HD or AD for 6 weeks. Serum metabolites are assessed using GC/MS. Twenty-six subjects completed the study. Levels of pentadecanoic acid, tyrosine and lathosterol are increased in HD, while 1,5-anhydrosorbitol, myo-inositol, 3-aminoisobutyric acid and beta-sitosterol are decreased (p < 0.05). Sorbitol levels are increased after AD, while hexanoic acid, lauric acid, l-kynurenine, methionine, and benzoic acid levels are reduced (p < 0.05). Histidine, caprylic acid, nonanoic acid, decanoic acid, lauric acid, heptadecanoic acid, and benzoic acid levels are increased in HD compared to AD, while malic acid levels are increased in AD compared with HD (p < 0.05). CONCLUSION: Higher dairy products intake modifies metabolite profiles in hyperinsulinemic subjects.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".