NMDA/NR2B Selective Antagonists in the Treatment of Ischemic Brain Injury
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Glutamate is the main excitatory neurotransmitter in the central nervous system and it plays a significant role not only in synaptic transmission but also in acute and chronic neuropathologies including stroke. Presently, four receptors for glutamate have been identified and the NMDA receptor family is the most intensively studied. A number of NMDA receptor antagonists have been developed and used for treatment of neurological diseases in patients. However, all of these drugs have been failed in clinical trials either because of intolerable side effects or lack of medical efficacy. Recently, the understanding of molecular structure of NMDA receptors has been advanced and this finding thus provides information for designing subtype-selective antagonists. Using NR2B subunit selective antagonists, ifenprodil and eliprodil, as basic structure models, second and third generation congeners have been developed. Several NR2B-selective compounds showed neuroprotective actions at doses that did not produce measurable side effects in preclinical studies. Some of NR2B subunit selective antagonists have also been tested for the treatment of ischemic brain injury. The present review describes the role of glutamate in ischemic brain injury with an emphasis on the NR2B containing NMDA receptors.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it