Cross‐talking between 5‐HT<sub>3</sub> and GABA<sub>A</sub> receptors in cultured myenteric neurons
Bibliographic record
Abstract
We recorded whole-cell ion currents induced by gamma-aminobutyric acid (I(GABA)) and serotonin (I(5-HT)) to investigate and characterize putative interactions between GABA(A) and 5-HT(3) receptors in myenteric neurons from the guinea pig small intestine. I(GABA) and I(5-HT) were inhibited by bicuculline and ondansetron, respectively. Currents induced by the simultaneous application of both, GABA and 5-HT (I(GABA+5-HT)) were significantly lower than the sum of I(GABA) and I(5-HT), indicating the existence of a current occlusion. Such an occlusion was observed when GABA(A) and 5-HT(3) receptors are virtually saturated. Kinetics, and pharmacological properties of I(GABA+5-HT) indicate that they are mediated by activation of both, GABA(A) and 5-HT(3) channels. GABA did not alter I(5-HT) in neurons without GABA(A) channels, in the presence of bicuculline (a GABA(A) receptor antagonist) or at the reversal potential for I(GABA). Similarly, 5-HT did not modify I(GABA) in neurons in which 5-HT(3) channels were absent, after inhibiting 5-HT(3) channels with ondansetron (a 5-HT(3) receptor antagonist) or at the reversal potential for I(5-HT). Current occlusion was observed as soon as GABA(A) and 5-HT(3) channels were being activated, in the absence of Ca(2+), at low temperature (11 degrees C), and after adding staurosporine (a protein kinase inhibitor) to the pipette solution. Our proposal is that GABA(A) and 5-HT(3) channels are organized in clusters and within these, both channels can cross-inhibit each other, likely by allosteric interactions between these proteins.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".