Cold-mediated regulation of systemic retinol transport controls adipose tissue browning
Bibliographic record
Abstract
ABSTRACT Browning of white fat reduces obesity in many preclinical models. Vitamin A metabolites (retinoids) have been linked to thermogenic programming of adipose tissue (AT), however the physiologic importance of systemic retinoid metabolism for AT browning is unknown. Here we show that cold stimulation in mice and humans increases circulating retinol and its plasma transporter, retinol binding protein (RBP). Cold exposure shifts retinol abundance from liver towards subcutaneous white AT which correlates with enhanced thermogenic gene transcription. Cold-mediated retinoid flux is abrogated in Rbp deficient (Rbp -/- ) mice and AT browning is dramatically impaired, which renders Rbp -/- mice cold intolerant. Rbp deficiency attenuates cold-induced lipid clearance due to decreased oxidative capacity. In humans, cold-mediated retinol increase is associated with enhanced lipid utilization. Retinol stimulation in primary human adipocytes promotes thermogenic gene expression and mitochondrial respiration. In conclusion, coordinated retinol delivery is essential for cold-induced thermogenic programming of white fat.
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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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".