Multiple episodes of sodium depletion in the rat: a remodeling of the electrical properties of median preoptic nucleus neurons
Bibliographic record
Abstract
In rat brain, the detection and integration of chemosensory and neural signals are achieved, inter alia, by the median preoptic nucleus (MnPO) during a disturbance of the hydromineral balance. This is allowed through the presence of the sodium (Na(+) ) sensor neurons. Interestingly, enkephalins and mu-opioid receptors (μ-ORs) are known for their role in ingestive behaviors and have previously been shown to regulate the excitability of MnPO neurons following a single Na(+) depletion. However, little is known about the role of these μ-ORs in the response enhancement following repeated Na(+) challenge. Therefore, we used whole-cell recordings in acute brain slices to determine neuronal plasticity in the electrical properties of the MnPO Na(+) sensor-specific neuronal population following multiple Na(+) depletions. Our results show that the population of Na(+) sensor neurons was represented by 80% of MnPO neurons after a single Na(+) depletion and was reduced after three Na(+) depletions. Interestingly, the subpopulation of Na(+) sensors responding to D-Ala(2) ,N-MePhe(4) ,Gly-ol-enkephalin (DAMGO), a specific μ-OR agonist, represented 11% of MnPO neurons after a single Na(+) depletion and the population doubled after three Na(+) depletions. Moreover, Na(+) sensor neurons displayed modifications in the discharge pattern distribution and shape of calcium action potentials after three Na(+) depletions but these changes did not occur in Na(+) sensors responding to DAMGO. Thus, the reinforced μ-OR functionality in Na(+) sensors might take place to control the neuronal hyperexcitability and this plasticity in opioid-sensitive and Na(+) detection MnPO networks might sustain the enhanced salt ingestion induced by repeated exposure to Na(+) depletion.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".