Bovine Neurophysin II Has Prolactin-Releasing Activity in the Estradiol-Primed Male Rat
Bibliographic record
Abstract
In the course of the search for the prolactin-releasing factor (PRF), we noticed that the posterior pituitary contained strong PRF activity and subsequently traced this activity to that of bovine neurophysin-II (NP-II). NP-II prepared in our lab was judged to be a homogeneous preparation according to Sephadex G-75 gel filtration, DEAE ion exchange chromatography and polyacrylamide gel electrophoresis. While neurophysin-I (NP-I) injections of 100 micrograms/kg and 1,000 micrograms/kg elevated plasma prolactin in estradiol-primed male rats to 30% and 50% over the control value, respectively, NP-II doses of 100, 1,000 micrograms/kg increased plasma prolactin concentration in estradiol-primed male rats to 130% and 170% over the control value, respectively. The lowest dose of NP-II needed to increase plasma prolactin concentration was 10 micrograms/kg. Since neurophysin does not stimulate prolactin release from the ectopic pituitary under the kidney capsule nor from lactotrophs in a primary monolayer culture system, neurophysin is believed to act indirectly on the pituitary, presumably through a neurotransmitter and/or hypothalamic releasing (or inhibiting) factor. We propose that NP-II may be one element in the complex chain of the prolactin-releasing mechanism.
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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".