Dietary Vitamin A and Visceral Adiposity: A Modulating Role of the Retinol-Binding Protein 4 Gene
Bibliographic record
Abstract
BACKGROUND/AIMS: Visceral fat (VF) compared with subcutaneous fat (SF) is more closely associated with cardiometabolic disease. Dietary vitamin A (retinol) may reduce adiposity through its effects on adipogenesis differentially in VF and SF, and this effect may be modulated by retinol-binding protein-4 (RBP4). We investigated whether intake of vitamin A is associated with either VF or SF, and whether this association is moderated by the RBP4 genotype (rs10882272, C/T) previously associated with circulating retinol levels. METHODS: This was a cross-sectional association study in a sample of 947 adolescents from a French-Canadian founder population. VF and SF were quantified with magnetic resonance imaging, and vitamin A intake was assessed with a 24-hour food recall. All participants were genotyped to determine their RBP4 variant. RESULTS: Dietary intake of vitamin A was negatively associated with VF; however, it was not associated with SF. These relationships were independent of age, sex, height and energy intake, and were modulated by the RBP4 variant. The T allele promoted adiposity-reducing effects of vitamin A in VF and adiposity-enhancing effects in SF, while the C allele had adiposity-reducing effects in both VF and SF. CONCLUSIONS: Dietary vitamin A may reduce abdominal adiposity and promote visceral to subcutaneous body fat redistribution during adolescence in an RBP4-dependent manner. These observational findings provide the basis for future interventional studies, which together with genetic information may inject further causality in the association between dietary vitamin A intake and abdominal adiposity.
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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".