Block of purinergic P2X7 receptor is neuroprotective in an animal model of Alzheimer's disease
Bibliographic record
Abstract
Pharmacological antagonism of the ionotropic purinergic P2X7R has been studied for effects on inflammatory reactivity and neuronal viability in amyloid-beta1-42-injected rat hippocampus. Amyloid-beta1-42-injected brains (7-day postinjection) demonstrated marked increases in P2X7R expression, gliosis, leakiness of blood-brain barrier and loss of hippocampal neurons. The P2X7R antagonist, brilliant blue G reduced levels of purinergic receptor expression, attenuated gliosis, diminished leakiness of blood-brain barrier and was neuroprotective in peptide-injected brain. Brilliant blue G also demonstrated neuroprotection and antagonism against inflammatory responses induced by the P2X7R agonist, 2',3'-(benzoyl-4-benzoyl)-ATP. The findings constitute the first report that pharmacological inhibition of P2X7R, possibly by acting to inhibit inflammatory reactivity, confers neuroprotection in an animal model of Alzheimer's disease brain.
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) | 0.001 | 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) | 0.002 | 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".