GABAB receptors regulate the neural stem cell potential of Pkd2l1+ cerebrospinal fluid-contacting neurons via the PI3K/Akt signaling pathway
Bibliographic record
Abstract
Cerebrospinal fluid-contacting neurons (CSF-cNs) exhibit neural stem cell (NSC) properties both in vitro and in vivo , and they may play a critical role in recovery after spinal cord injury (SCI). GABA B receptors (GABABRs) are expressed in Pkd2l1 + CSF-cNs. However, their role in Pkd2l1 + CSF-cNs still needs to be discovered. In this study, we observed a significant reduction in GABA B R expression in a murine model 7 d after SCI. We further discovered that GABA B R activation enhanced the proliferation of Pkd2l1 + CSF-cNs while inhibiting apoptosis. Additionally, this activation mitigated vacuole loss and neuronal damage in the pericentral canal region of the spinal cord, attenuated myelin and axonal loss within the spinal cord, and facilitated motor function recovery in SCI model mice. Mechanistically, GABA B R primed quiescent Pkd2l1 + CSF-cNs for cell cycle reentry through the activation of PI3K/Akt signaling. Our findings suggest that GABA B R activation enhances the NSC potential of Pkd2l1 + CSF-cNs, ultimately enabling post-SCI recovery in murine models. • GABAB receptor activation boosts proliferation and reduces apoptosis in Pkd2l1 + CSF-cNs after spinal cord injury. • GABABR activation reduces neuronal damage and maintains spinal cord integrity, aiding rapid recovery of motor function. • The PI3K/Akt pathway mediates GABABR-induced cell cycle reentry in quiescent Pkd2l1 + CSF-cNs, enhancing NSC potential.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".