Abstract 11963: Blood Level of Coffee-Eelated DNA Methylation and Long-Term Changes in Blood Pressure in Response to Weight-Loss Diet Interventions: The Pounds Lost Trial
Bibliographic record
Abstract
Introduction: Coffee intake has been associated with a lower risk of hypertension. Recent epigenome-wide association studies linked DNA methylation (DNAm) at PHGDH (cg14476101) with coffee consumption and blood pressure, which may explain the mechanism underlying coffee intake and blood pressure. However, little is known about whether the coffee-related DNAm is associated with long-term changes in blood pressure in response to dietary weight-loss interventions. Hypothesis: We hypothesized that participants with varying coffee-related DNAm levels may respond differently to dietary weight-loss interventions on long-term changes in blood pressure. Methods: The current study included 669 participants with overweight/obesity, who were randomly assigned to 1 of 4 diets varying in macronutrient components. Blood DNAm levels were profiled by a high-resolution methylC-capture sequencing at baseline. The regional DNAm at PHGDH was defined as the average methylation level over CpGs within ±250 bp of cg14476101. Two-year changes in blood pressure were calculated. Linear regression models were used to examine the associations between DNAm at PHDGH and 2-year changes in blood pressure in response to dietary weight-loss interventions, adjusting for age, race, sex, body mass index, anti-hypertensive medications, and concurrent weight loss. Results: Regional DNAm at PHDGH was not associated with 2-year changes in blood pressure in the total population. We found significant interactions between regional DNAm at PHDGH and dietary protein intake on 2-year changes in systolic blood pressure (SBP) and diastolic blood pressure (DBP) (p-interaction=0.018 and 0.005, respectively). Among participants assigned to an average-protein diet (15% of energy intake), higher baseline regional DNAm at PHDGH was associated with greater reductions in SBP (beta [SE]: -9.7 [3.4], p=0.005) and DBP (beta [SE]: -6.5 [2.4], p=0.007); while no association was observed among those assigned to a high-protein diet (25% of energy intake; p=0.40 for SBP, p=0.15 for BP). Conclusion: Our data indicate that participants with a higher regional DNAm level at PHDGH benefited more in long-term improvement in blood pressure when consuming an average-protein weight-loss diet.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
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 source (direct Gemma or distilled Codex), 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".