Sustained saturating level of glycine induces changes in NR2B‐containing‐NMDA receptor localization in the CA1 region of the hippocampus
Bibliographic record
Abstract
Post-synaptic actions of glycine are terminated by specialized transporters. There are two genes encoding glycine transporters, GlyT1 and GlyT2. Glycine acts as a co-agonist at N-methyl-d-aspartate glutamatergic receptors (NMDARs). Blockage of GlyT1 enhances NMDAR function by controlling ambient glycine concentrations. Using whole-cell patch-clamp recordings of acute hippocampal slices, we investigated NMDAR kinetics of CA1 pyramidal neurons of mice expressing 50% of GlyT1 (GlyT1+/-). In this study, we report that the glycine modulatory site of the NMDAR at CA1 synapses is saturated in GlyT1+/- but not in wild-type (WT) mice. We also found that the effect of ifenprodil, a highly selective NR2B-containing-NMDAR antagonist, is significantly reduced at CA1 synapses in GlyT1+/- compared to WT mice while immunoblotting experiments do not show significant differences for NR1, NR2A-B-C-D subunits in both types of mice, suggesting alteration in NR2B-containing-NMDAR localization under a state of chronic saturating level of endogenous glycine. Using a pharmacological approach with MK-801 and DL-TBOA, we discriminated synaptic vis-à-vis extra-synaptic NMDARs. We found that NR2B-containing-NMDARs are expressed at a higher level in the extra-synaptic area of CA1 pyramidal neurons from GlyT1+/- compared to WT mice. Our results demonstrate that chronic saturating level of glycine induces significant changes in NMDAR localization and kinetic. Therefore, results from our study should help to gain a better understanding of the role of glycine in pathological conditions.
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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) | 0.000 | 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 | 0.000 | 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".