A Functional Interaction of Sodium and Calcium in the Regulation of NMDA Receptor Activity by Remote NMDA Receptors
Bibliographic record
Abstract
The NMDA receptor is an important subtype glutamate receptor that acts as a nonselective cation channel highly permeable to both calcium (Ca2+) and sodium (Na+). The activation of NMDA receptors produces prolonged increases of intracellular Ca2+ concentration ([Ca2+]i) and thereby triggers downstream signaling pathways involved in the regulation of many physiological and pathophysiological processes. Previous studies have focused on how Ca2+ or Na+ affects NMDA receptor activity in isolation. Specifically, [Ca2+]i increase may downregulate NMDA channels and thus is considered an important negative feedback mechanism controlling NMDA receptor activity, whereas an increase in intracellular Na+ concentration ([Na+]i) may upregulate NMDA channel activity. Thus so that the activity-dependent regulation of NMDA receptors and neuroplasticity may be further understood, a critical question that has to be answered is how an individual NMDA receptor may be regulated when both of these ionic species flow into neurons during the same time period via neighboring activated NMDA receptors. Here we report that the gating of a NMDA channel is regulated by the activation of remote NMDA receptors via a functional Na+-Ca2+ interaction and that during the activation of NMDA receptors Na+ influx potentiates Ca2+ influx on one hand and overcomes Ca2+-induced inhibition of NMDA channel gating on the other hand. Furthermore, we have identified that a critical increase (5 +/- 1 mM) in [Na+]i is required to mask the effects of Ca2+ on NMDA channel gating in cultured hippocampal neurons. Thus cross talk between NMDA receptors mediated by a functional Na+-Ca2+ interaction is a novel mechanism regulating NMDA receptor activity.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".