Protective Effects of Pituitary Adenylate Cyclase-Activating Polypeptide (PACAP) Against Apoptosis
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
Apoptosis is a regulated process leading to cell death, which is implicated both in normal development and in various pathologies including heart failure, stroke and neurodegenerative diseases. Caspase-3, a key enzyme of the apoptotic pathway, is considered as a major target for the treatment of abnormal cell death. Many factors that inhibit cell death have been identified, but the mechanisms involved are not always fully understood. Pituitary adenylate cylase-activating polypeptide (PACAP) has been shown to exert neuroprotective activities during development. PACAP also inhibits apoptosis in cardiomyopathy, decreases glutamate-induced retinal injury, reduces neuronal loss in case of stroke, and prevents ethanol neurotoxicity. Most of the antiapoptotic effects of PACAP are mediated through the PAC1 receptor. This receptor activates a transduction cascade of second messengers to stimulate Bcl-2 expression which inhibits cytochrome c release and blocks in turn caspase activation. PACAP also acts through the PI3K/Akt pathway and inhibits the expression of proapoptotic factors such as c-Jun or Bax. The remarkable effect of PACAP on the apoptotic cascade suggests that innovative PACAP derivatives could potentially be useful for treatment of post-traumatic lesions, chronic neurodegenerative diseases, cardiac ischemia and/or retinopathy.
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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 | 0.001 |
| 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 | 0.000 | 0.002 |
| 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