LIMK1 Regulates Long-Term Memory and Synaptic Plasticity via the Transcriptional Factor CREB
Bibliographic record
Abstract
Deletion of the LIMK1 gene is associated with Williams syndrome, a unique neurodevelopmental disorder characterized by severe defects in visuospatial cognition and long-term memory (LTM). However, whether LIMK1 contributes to these deficits remains elusive. Here, we show that LIMK1-knockout (LIMK1(-/-)) mice are drastically impaired in LTM but not short-term memory (STM). In addition, LIMK1(-/-) mice are selectively defective in late-phase long-term potentiation (L-LTP), a form of long-lasting synaptic plasticity specifically required for the formation of LTM. Furthermore, we show that LIMK1 interacts and regulates the activity of cyclic AMP response element-binding protein (CREB), an extensively studied transcriptional factor critical for LTM. Importantly, both L-LTP and LTM deficits in LIMK1(-/-) mice are rescued by increasing the activity of CREB. These results provide strong evidence that LIMK1 deletion is sufficient to lead to an LTM deficit and that this deficit is attributable to CREB hypofunction. Our study has identified a direct gene-phenotype link in mice and provides a potential strategy to restore LTM in patients with Williams syndrome through the enhancement of CREB activity in the adult brain.
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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 | 0.000 |
| 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".