PACAP protects cerebellar granule neurons against oxidative stress‐induced apoptosis
Bibliographic record
Abstract
Oxidative stress, resulting from accumulation of reactive oxygen species, plays a critical role in neuronal cell death associated with neurodegenerative diseases and stroke. In the present study, we have investigated the potential neuroprotective effect of pituitary adenylate cyclase-activating polypeptide (PACAP) on oxidative stress-induced apoptosis. Incubation of cerebellar granule cells with PACAP inhibited hydrogen peroxide-evoked cell death in a concentration-dependent manner. The effect of PACAP on granule cell survival was not mimicked by vasoactive intestinal polypeptide and was blocked by the antagonist PACAP6-38. The protective action of PACAP upon hydrogen peroxide-induced neuronal cell death was abolished by the MAP-kinase kinase (MEK) inhibitor U0126 and mimicked by the caspase-3 inhibitor Z-DEVD-FMK. PACAP markedly inhibited hydrogen peroxide-evoked caspase-3 activation and DNA fragmentation. Taken together, these data indicate that PACAP, acting through PACAP receptor type 1, exerts a potent protective effect against neuronal degeneration induced by hydrogen peroxide. The anti-apoptotic effect of PACAP is mediated through the MAP-kinase pathway and can be accounted for by inhibition of caspase-3 activation resulting from oxidative stress.
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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) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".