Hippocampal Inhibitory Interneuron‐Specific <scp>DREADDs</scp> Treatment Alters <scp>mTORC1</scp>‐<scp>4E</scp>‐<scp>BP</scp> Signaling and Impairs Memory Formation
Bibliographic record
Abstract
Control of protein synthesis via the mechanistic target of rapamycin complex 1 (mTORC1) is essential for learning and memory. However, the cell-type-specific and spatiotemporal regulation of this pathway during memory formation is not well understood. In this study, we expressed artificial human muscarinic M3 [hM3D(Gq)] or M4 [hM4D(Gi)] designer receptors exclusively activated by designer drugs (DREADDs) in hippocampal CA1 excitatory or inhibitory neurons of adult mice. We studied the impact of clozapine-N-oxide (CNO), a synthetic DREADDs agonist, on the mTORC1 pathway and long-term memory. hM3D(Gq) and hM4D(Gi) activate or inactivate, respectively, mTORC1 signaling in hippocampal interneurons, as indicated by the phosphorylation of its targets, eukaryotic initiation factor 4E-binding proteins (4E-BP1/2) and ribosomal protein S6 (S6). Activation of either hM3D(Gq) or hM4D(Gi) in mice immediately after training in memory tasks impaired long-term memory formation in inhibitory, but not in excitatory neurons. The findings underscore the importance of activity-dependent mTORC1-4E-BP1/2 signaling in hippocampal inhibitory interneurons for memory formation.
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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) | 0.000 | 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".