GABA<sub>B</sub> presynaptically modulates suprachiasmatic input to hypothalamic paraventricular magnocellular neurons
Bibliographic record
Abstract
This study used whole cell patch clamp recordings in rat hypothalamic slice preparations to evaluate the effects of GABA(B) receptor activation on GABA(A)-mediated inhibitory postsynaptic currents (IPSCs) in paraventricular nucleus magnocellular neurons evoked by electrical stimulation in the suprachiasmatic nucleus (SCN). Baclofen induced a dose-dependent (1-10 microM) and reversible reduction in SCN-evoked IPSC amplitude (11/11 cells), blockable with 2-hydroxysaclofen (300 microM; 3/3 cells). IPSCs displayed paired-pulse depression (PPD), attenuated by both baclofen and 2-hydroxysaclofen, but neither altered resting membrane conductances or IPSC time constants of decay. Baclofen induced a significant dose-dependent (1-100 microM) reduction in frequency, but not amplitude, of spontaneous IPSCs and miniature IPSCs, reversible with 2-hydroxysaclofen pretreatment. Baclofen effects and PPD persisted in slices pretreated with pertussis toxin (PTX) and N-ethylmaleimide, implying that these GABA(B) receptors are coupled to PTX-insensitive G proteins. Responses were unaltered by barium (2 mM) or nimodipine, ruling out involvement of K(+) channels and L-type Ca(2+) channels. Thus pre- and postsynaptic GABA(B) and GABA(A) receptors participate in SCN entrainment of paraventricular neurosecretory neurons.
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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".