PTW01 Poster Session 10 ‐ Receptors, Transmitters, and channels
Bibliographic record
Abstract
Traumatic injury to the central nervous system (CNS) causes release of nucleotides into the extracellular space.These nucleotides can act in autocrine and paracrine fashions to activate nucleotide receptors and modulate gliotic responses after brain trauma.The present study focuses in the early gliotic responses of P2Y 2 nucleotide receptors after traumatic injury to astrocytic cells.Human 1321N1 astrocytic cells expressing recombinant P2Y 2 nucleotide receptors were cultured on deformable Silastic membranes and subjected to rapid, reversible stretch-induced injury in an in vitro model of brain trauma.Expression and activation of mitogen-activated protein kinases (MAPK), key regulators of cell proliferation, growth and cell survival, was assessed by Western blotting.Stretch-induced injury to 1321N1 cells expressing P2Y 2 nucleotide receptors showed increased MAPK phosphorylation in contrast to injured wild type untransfected cells.Phosphorylation of Erk1/2 and p38 peaked at 10 min while Akt/PKB phosphorylation peaked 15 min post-injury.Blocking phosphoinositide 3-kinase (PI3K), attenuated significantly Erk1/2 phosphorylation and abolished Akt/PKB phosphorylation, suggesting MAPK signaling via PI3K-dependent mechanisms.Experiments with apyrase and P2 receptor antagonists suggested a direct role of P2Y 2 nucleotide receptors in injuryinduced MAPK activation.These findings implicate nucleotides released after traumatic injury in early gliotic responses and suggest a role for P2Y 2 nucleotide receptors in the generation of reactive gliosis after an injury response to the CNS.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.597 | 0.375 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".