Non-Canonical Signaling by N-methyl-D-aspartate Receptors to Pannexin-1 in Ischemia
Bibliographic record
Abstract
The N-methyl D-aspartate receptor (NMDAR) is an excitatory ligand-gated ion channel that is integral for neurological function because of its roles in synaptic plasticity and in cell survival. Until a decade ago, the NMDAR was also thought to be the key mediator of excitotoxicity during ischemia; a notion that was challenged when clinical trials of NMDAR blockers for the treatment of ischemic stroke were deemed either ineffective or the drugs not clinically tolerated. New evidence has emerged suggesting that Pannexin ion channels are modulated by NMDARs and may be critical in perpetuating ischemic cell death. This provides a novel avenue for stroke research and intervention, and may reconcile the lack of clinical efficacy for NMDAR antagonism. This thesis explores the contributions of pannexin-1 (Panx1) and NMDA receptors in models of ischemia/hypoxia and aims to understand their role in ischemic excitotoxicity. My over-arching hypothesis is that co-activation of NMDA receptors and Panx1 is important for pathological and physiological signaling. Here I show that NMDARs are key activators of Panx1, which occurs through an unexpected mechanism that does not rely on ion movement through the NMDAR pore. This non-canonical mechanism of NMDAR signaling is critical for neuronal death during O2 / glucose deprivation (OGD) and during overstimulation of NMDA receptors. Critical elements of non-canonical NMDAR function were identified, including Src family kinases and Panx1, which exist in a signaling complex. Finally, I show that non-canonical activation of NMDARs can recruit Panx1 channels and induce long-term depression of excitatory synapses in the hippocampus. In conclusion, the work of this thesis has identified a novel transduction pathway that has broad reaching implications for our understanding of ischemia and synaptic physiology.
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How this classification was reachedexpand
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 | 0.000 |
| 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 | 0.001 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".