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 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".