Dietary Plant to Animal Protein Ratio and Total and Cause-Specific Mortality in Two Prospective Cohort Studies
Bibliographic record
Abstract
Results: Compared with the total metabolite panel, the signature (204 metabolites) underrepresented lipids (45% vs 42%), overrepresented xenobiotics (11% vs 17%), with equal amino acid contribution (25%).The signature displayed enrichment of the glycine, serine, and threonine metabolism subpathway (FDR0.02),with a negative association of UPF intake with dimethylglycine (-0.006).Overall, each 10-percentagepoint increase in UPF intake corresponded to an average 0.79 SD difference in the signature (r 2 0.45; p < 0.0001).Each 1-SD increase in the signature was marginally associated with 1.21 (0.97, 1.52) higher odds of T2D over 6 years (526 cases).Significant associations were noted for persons with excess weight [OR: 1.28 (1.02, 1.60)] or the highest UPF intake: Puerto Ricans [OR: 2.10 (1.31, 3.35)], US mainland-born [OR: 2.40 (1.39, 4.10)], and in the lowest AHEI tertile [OR: 1.47 (1.03, 2.10)].Conclusions: A UPF metabolomics signature was adversely associated with T2D risk in Puerto Ricans, persons with US nativity, excess weight, or low diet quality.This association may be attributable to glycine, serine, and threonine metabolism disturbance, but biological mechanisms warrant further investigation.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".