Regional changes in ectonucleotidase activity after cortical stab injury in rat.
Bibliographic record
Abstract
During a variety of insults to the brain adenine nucleotides are released in large quantities from damaged cells, triggering local cellular and biochemical responses to injury. Different models of brain injury reveal that the local increase in adenine nucleotides levels is followed by a compensatory up-regulation of ectonucleotidase enzymes that catalyze sequential hydrolysis of ATP to ADP, AMP and adenosine. However, recent studies imply that changes in adenine nucleotides release may also occur in the areas distant from the site of direct damage. Therefore, in the present study we have used the model of cortical stab injury to analyze extracellular ATP, ADP and AMP hydrolysis in the membrane preparations obtained from the brain regions that were not subjected to direct tissue damage. The brain regions analyzed were contralateral cortex, hippocampus, caudate nucleus, thalamus and hypothalamus. It was evidenced that cortical stab injury induced early widespread decrease in AMP hydrolysis in all brain areas tested, except in the hypothalamus, without changes in ATP hydrolysis. These findings imply that brain injury affects global extracellular adenine nucleotide and nucleoside levels, consequently affecting neuronal function in the regions distant to the primary damage.
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.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".