PAK1 regulates inhibitory synaptic function via a novel mechanism mediated by endocannabinoids
Bibliographic record
Abstract
The Rho family small GTPases and their effectors, including PAKs, are extensively studied in the context of the actin cytoskeleton, excitatory synaptic function, spine morphology and memory formation. However, their roles in inhibitory synaptic function remain poorly understood. We have recently shown that PAK1 is a potent regulator of GABAergic synaptic transmission. Thus, disruption of PAK1 leads to significant impairments in inhibitory postsynaptic currents which are manifested as reduced GABA presynaptic releases. Interestingly, this effect of PAK1 is distinct from its previously known role in spines and excitatory synaptic transmission in that it is independent of postsynaptic actin, but requires retrograde messengers produced and released from the postsynaptic neurons to suppress presynaptic GABA releases. We have further identified eCBs as the retrograde messengers and shown that PAK1 regulates the eCB signaling via restricting the tissue level of AEA by promoting synaptic expression of COX-2, a key enzyme to oxidize AEA. These results have established a novel pathway whereby PAK1, and by extension Rho proteins, regulates cellular processes, synaptic function and behaviors and have important implications in understanding and treating various diseases linked to PAKs and Rho signaling.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".