Simultaneous Microdialysis in Blood and Brain: Oxytocin and Vasopressin Release in Response to Central and Peripheral Osmotic Stimulation and Suckling in the Rat
Bibliographic record
Abstract
Simultaneous microdialysis in blood and brain has been used to monitor the release of both oxytocin and vasopressin into the systemic circulation (jugular vein/right atrium) and within the hypothalamic supraoptic nucleus of rats. Both home-made probes for blood and brain microdialysis revealed detectable nonapeptide concentrations under basal conditions and differential responses to a variety of stimuli. In urethane-anesthetized male rats, bilateral stimulation of the supraoptic nucleus by microdialyzing hypertonic medium (1 M NaCl) not only significantly increased the intranuclear release of both oxytocin and vasopressin (p < 0.05), but also their release from the neurohypophysis into blood (p < 0.05). In poststimulation microdialysates sampled from blood, the nonapeptides reached basal levels again, whereas intranuclear levels were further elevated. Intraperitoneal injection of hypertonic saline, on the other hand, resulted not only in the well-known increased peripheral release of oxytocin and vasopressin (p < 0.01 each), but also in a delayed increase in intranuclear oxytocin (p < 0.05). In contrast, intranuclear vasopressin release failed to change within the 90-min period following osmotic stimulation. In conscious lactating rats, suckling increased oxytocin contents in microdialysates sampled simultaneously in blood and the supraoptic nucleus (p < 0.05 each) further validating the microdialysis techniques used. The in vivo recovery in blood of approximately 65% determined using both radiolabeled and endogenous oxytocin provides a rough estimate to assess nonapeptide concentrations in plasma from 30-min or even 10-min blood microdialysis data.(ABSTRACT TRUNCATED AT 250 WORDS)
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| 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".