Peroxisome proliferator‐activated receptor‐γ cofactors in neurodegeneration
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Peroxisome proliferator-activated receptor-γ (PPARγ) was initially involved in the regulation of glucose and lipid metabolism, cell differentiation, as well as in the transcriptional control of a wide range of inflammatory genes. However, during the last decade, there has been evidence of the implication of this nuclear receptor in neurodegeneration. Various studies have shown that the administration of PPARγ ligands leads to a reduced pathology in many neurodegenerative diseases such as Alzheimer's disease, Parkinson's disease, amyotrophic lateral sclerosis, multiple sclerosis, Huntington's disease, and stroke. PPARγ cofactors have a critical function in regulating the activity of PPARγ. Recent reports have brought to light the role of the PPARγ coactivator-1α (PGC-1α) in several neurodegenerative pathologies. However, very little is know about other PPARγ cofactors in the brain, such as the receptor-interacting protein 140, as well as the nuclear receptor corepressor, which seems to be required for normal neural development at specific embryonic stages. In this review, we aim to analyze the role of the main regulators of PPARγ in the brain and during neurodegeneration.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| 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 it