White and beige adipocytes: are they metabolically distinct?
Bibliographic record
Abstract
The white adipose tissue (WAT) exhibits great plasticity and can undergo "browning" and acquire features of the brown adipose tissue (BAT), which takes place following cold exposure, chronic endurance exercise or β3-adrenergic stimulation. WAT that underwent browning is characterized by the presence of "beige" adipocytes, which are morphologically similar to brown adipocytes, express uncoupling protein 1 (UCP1) and are considered thermogenically competent. Thus, inducing a BAT-like phenotype in the WAT could promote energy dissipation within this depot, reducing the availability of substrate that would otherwise be stored in the WAT. Importantly, BAT in humans only represents a small proportion of total body mass, which limits the thermogenic capacity of this tissue. Therefore, browning of the WAT could significantly expand the energy-dissipating capacity of the organism and be of therapeutic value in the treatment of metabolic diseases. However, the question remains as to whether WAT indeed changes its metabolic profile from an essentially fat storage/release compartment to an energy dissipating compartment that functions much like BAT. Here, we discuss the differences with respect to thermogenic capacity and metabolic characteristics between white and beige adipocytes to determine whether the latter cells indeed significantly enhance their capacity to dissipate energy through UCP1-mediated mitochondrial uncoupling or by the activation of alternative UCP1-independent futile cycles.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".