Activation of group I mGluRs is required for heterosynaptic priming of long-term potentiation in mouse hippocampus
Bibliographic record
Abstract
ABSTRACT Metaplasticity involves changes in the state of neurons or synapses that influence their ability to generate synaptic plasticity. One form of heterosynaptic metaplasticity, known as synaptic tagging and capture ( STC ), has been intensively studied but the underlying mechanisms are not fully understood. In experiments using hippocampal slices prepared from C57BL/6J mice, we have examined the role of group I metabotropic glutamate receptors ( mGluRs ) in STC. We used a version of STC where a strong theta-burst stimulus ( TBS ), delivered to one set of Schaffer collateral-commissural pathway inputs to CA1, preceded a weak TBS delivered to a second independent set of inputs. We observed that, firstly, dual inhibition of mGluR1 and mGluR5, using YM 298198 and MTEP respectively, did not affect a form of protein synthesis-independent LTP ( LTP1 ), but substantially inhibited a form of protein synthesis-dependent LTP ( LTP2 ). Secondly, these inhibitors prevented the small heterosynaptic potentiation, which is often associated with LTP2. Thirdly, STC was abolished when these antagonists were applied either during the strong (priming) TBS or during the subsequent weak TBS at the independent pathway. It is proposed that the activation of group I mGluRs serves as a trigger for local protein synthesis both during the strong and weak TBS and, as such, are an integral part of the STC process. STC is involved in associative learning and memory, a cognitive function that is disrupted in many brain disorders including Alzheimer’s disease.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".