Role of PPARγ in adipocyte recruitment and thermogenesis
Bibliographic record
Abstract
PPARγ is an important transcription factor in the process of adipocyte recruitment and differentiation. Its relevance in vivo has been clearly observed using genetically modified animal models with different degrees of PPARγ function impairment. These animals showed defects in white and brown adipose tissue development and plasticity. Also, the use of PPARγ synthetic activators provided pharmacological evidence for the role of PPARγ as a modulator of adipose tissue plasticity and function. Aside from its well-established role in white adipocyte differentiation, PPARγ also plays a role in brown adipocyte differentiation. Specifically, in brown adipocytes, PPARγ promotes the transcription of genes involved in thermogenesis, such as mitochondrial uncoupling protein (UCP) 1, resulting in enhanced noradrenaline-dependent thermogenesis. PPARγ may also promote the acquirement of a 'brown' phenotype by mature white adipocytes.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".