Pituitary adenylate cyclase‐activating polypeptide regulates forebrain neural stem cells and neurogenesis in vitro and in vivo
Bibliographic record
Abstract
Recent studies suggest that adult neurogenesis can contribute significantly to recovery from brain damage. As a result, there is strong interest in the field in identifying potentially therapeutic factors capable of promoting increased expansion of endogenous neural stem cell (NSC) populations and increased neurogenesis. In the present study, we have investigated the effects of PACAP on the NSC populations of the embryonic and adult forebrain. Our results demonstrate that the PACAP receptor, PAC1-R, is expressed by both embryonic and adult NSCs. The activation of PACAP signaling in vitro enhanced NSC proliferation/survival through a protein kinase A (PKA)-independent mechanism. In contrast, PACAP promoted NSC self-renewal and neurogenesis through a mechanism dependent on PKA activation. Finally, we determined that the intracerebroventricular infusion of PACAP into the adult forebrain was sufficient to increase neurogenesis significantly in both the hippocampus and the subventricular zone. These results demonstrate PACAP is unique in that it is capable of promoting NSC proliferation/survival, self-renewal, and neurogenesis and, therefore, may be ideal for promoting the endogenous regeneration of damaged brain tissue.
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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 | 0.000 |
| 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".