The Osmotic Control of Vasopressin‐Releasing Neurons
Bibliographic record
Abstract
Vasopressin is a neurohypophysial hormone which plays a key role in central osmoregulation. Activation of vasopressin receptors expressed by kidney cells induces an increase in water reabsorption, effectively reducing water loss. Circulating levels of vasopressin are largely determined by the rate of action potential firing by magnocellular neurosecretory cells, which synthesize and secrete the hormone. These neurons are found in two sets of bilaterally located hypothalamic nuclei, namely the supraoptic and paraventricular nuclei. The action potential firing rate of magnocellular neurosecretory cells has been shown to be directly correlated to plasma osmolality. This property of magnocellular neurosecretory cells arises from changes in excitability resulting from (i) synaptic inputs from central osmosensor regions and other brain areas that receive osmosensitive inputs, (ii) osmosensitive release of transmitter from neighboring astrocytes, and (iii) activation of mechanosensitive channels that allow these neurons to intrinsically sense changes in external osmolality. This chapter features a detailed discussion of each of these three levels of osmosensitive regulation: discovery, mechanisms of osmosensitivity, and how they modulate the firing activity of magnocellular 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".