Functional and metabolomic analyses of brown adipose tissue during cold-deacclimation reveal rapid adaptations in N-acetylated amino acid metabolism
Bibliographic record
Abstract
Abstract Non-shivering thermogenesis (NST) in brown adipose tissue (BAT) is rapidly activated in cold environments and is an important thermoregulatory process. Despite the consensus that BAT is inactive under warm ambient temperatures, few studies have sought to examine the metabolic remodelling that occurs when recovering from the cold and re-acclimating to thermoneutral environments (28-32°C). To elucidate mitochondrial functional and structural aspects involved in BAT metabolic remodelling during cold deacclimation, we acclimated C57BL/6J mice to the cold (4°C) for 7 days, and subsequently transferred them to thermoneutrality (30°C) for 3 h, 12 h, 24 h, or 48 h. Comprehensive metabolic phenotyping analyses demonstrated elevated metabolic rates and high food intake during the cold acclimation period, which immediately decreased by ∼40% upon returning to thermoneutrality. High-resolution respirometry of saponin-permeabilized BAT revealed decreases in mitochondrial leak uncoupling by 24 h of cold deacclimation, which corresponded with gradual declines in mitochondrial protein content and UCP1 gene expression. Decreases in BAT mitochondrial content paralleled declines in protein content, as indicated by decreases in the mtDNA/nDNA ratio and mitochondrial surface area by 48 h of cold deacclimation. Metabolomic analysis of BAT from cold-acclimated mice and from mice deacclimated for 48 h at thermoneutrality revealed major changes in pathways related to amino acid metabolism, the tricarboxylic acid cycle (TCA), glutathione, and purine metabolism. Marked decreases in the abundance of N-acetylated amino acids in cold deacclimated mice corresponded with increased aminoacylase 1 ( Acy1 ) expression. Together, these findings highlight the profound metabolic remodelling in BAT during thermogenesis and deactivation.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".