Peroxisome Proliferator-Activated Receptors
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 receptors (PPAR) are nuclear receptors acting as transcription factors on numerous target genes after heterodimerization with the retinoid X receptor. PPAR-alpha and PPAR-gamma may be activated by different agonists, although the endogenous ligands are unknown. Although PPAR-alpha is mainly involved in fatty acid oxidation and expressed in liver, kidney, and skeletal muscle, and PPAR-gamma is mainly involved in fat cell differentiation and insulin sensitivity, both are expressed in smooth muscle cells and myocardium, although PPAR-gamma are scarce in the latter. Activators of PPAR-alpha such as fatty acids and fibrates, and PPAR-gamma such as thiazolidinediones have been shown to exert antiproliferative effects, antagonize angiotensin II actions in vivo and in vitro, and exert antioxidant actions inhibiting generation of reactive oxygen species and activation of inflammatory mediators on blood vessels and the heart. These agents lowered blood pressure in several models of hypertension and corrected endothelial dysfunction. They exerted anti-inflammatory and antifibrotic actions on blood vessels and the heart. With the development of dual alpha/gamma-PPAR activators, these newer agents may become interesting therapeutic agents for prevention of vascular and cardiac complications of hypertension as well as for preventative therapy in other forms of cardiovascular disease.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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 | 0.000 |
| 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